From 39fcdc2b7d1e6a2e705ea2f01ef783153427fd2b Mon Sep 17 00:00:00 2001 From: LianeHughes <68756672+LianeHughes@users.noreply.github.com> Date: Tue, 16 Apr 2024 07:10:03 +0200 Subject: [PATCH 1/9] update to affiliation --- content/english/resources/metagenomic_seq_pathogens.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/content/english/resources/metagenomic_seq_pathogens.md b/content/english/resources/metagenomic_seq_pathogens.md index 353a86d7..1528b5fd 100644 --- a/content/english/resources/metagenomic_seq_pathogens.md +++ b/content/english/resources/metagenomic_seq_pathogens.md @@ -5,8 +5,8 @@ banner: "/resources_thumbs/metagenomic-seq.jpg" resource_info: name: "Metagenomic sequencing for pathogen identification and analysis" pi: Jenny Welander - host_organisation: Clinical Microbiology at Linköping University Hospital - contact: "Jenny Welander
Clinical Microbiology at Linköping University Hospital
Email: [jenny.welander@regionostergotland.se](mailto:jenny.welander@regionostergotland.se)" + host_organisation: Clinical Microbiology and Precision Medicine Laboratory, Linköping University Hospital + contact: "Jenny Welander
Clinical Microbiology and Precision Medicine Laboratory, Linköping University Hospital
Email: [jenny.welander@regionostergotland.se](mailto:jenny.welander@regionostergotland.se)" for_background_table: pi: Jenny Welander pi_affiliation: Linköping University From a5cf9e6c001ad776b2ca5725ce74aa450f7d4b4d Mon Sep 17 00:00:00 2001 From: Senthilkumar Panneerselvam Date: Wed, 17 Apr 2024 08:48:37 +0200 Subject: [PATCH 2/9] Hard code last updated date for vaccines --- content/english/dashboards/vaccines.md | 2 +- content/svenska/dashboards/vaccines.md | 2 +- layouts/shortcodes/vaccines_dynamic_content.html | 10 ++++++---- 3 files changed, 8 insertions(+), 6 deletions(-) diff --git a/content/english/dashboards/vaccines.md b/content/english/dashboards/vaccines.md index c996d3ce..62d6ae45 100644 --- a/content/english/dashboards/vaccines.md +++ b/content/english/dashboards/vaccines.md @@ -47,7 +47,7 @@ For more information on vaccination in Sweden, please also see the [RECOVAC dash ## Visualisations related to vaccination coverage -
The visualisations on this page were last updated: .
+
The visualisations on this page were last updated: 2023-03-24.
The [Swedish Health Agency (Folkhälsomyndigheten, FoHM)](https://folkhalsomyndigheten.se) provide information, summary statistics, and data related to COVID-19 vaccination in Sweden [(only available in Swedish)](https://www.folkhalsomyndigheten.se/folkhalsorapportering-statistik/statistikdatabaser-och-visualisering/vaccinationsstatistik/statistik-for-vaccination-mot-covid-19/). The visualisations below are based on the publicly available COVID-19 vaccination data from FoHM, which can be [downloaded directly](https://fohm.maps.arcgis.com/sharing/rest/content/items/fc749115877443d29c2a49ea9eca77e9/data). For each visualisation, we describe which data in the dataset were used, how calculations were completed, and provide a link to the script(s) used to produce it. diff --git a/content/svenska/dashboards/vaccines.md b/content/svenska/dashboards/vaccines.md index 34dc6edd..796bf87e 100644 --- a/content/svenska/dashboards/vaccines.md +++ b/content/svenska/dashboards/vaccines.md @@ -46,7 +46,7 @@ For more information on vaccination in Sweden, please also see the [RECOVAC dash ## Visualisations related to vaccination coverage -
The visualisations on this page were last updated: .
+
The visualisations on this page were last updated: 2023-03-24.
The [Swedish Health Agency (Folkhälsomyndigheten, FoHM)](https://folkhalsomyndigheten.se) provide information, summary statistics, and data related to COVID-19 vaccination in Sweden [(only available in Swedish)](https://www.folkhalsomyndigheten.se/folkhalsorapportering-statistik/statistikdatabaser-och-visualisering/vaccinationsstatistik/statistik-for-vaccination-mot-covid-19/). The visualisations below are based on the publicly available COVID-19 vaccination data from FoHM, which can be [downloaded directly](https://fohm.maps.arcgis.com/sharing/rest/content/items/fc749115877443d29c2a49ea9eca77e9/data). For each visualisation, we describe which data in the dataset were used, how calculations were completed, and provide a link to the script(s) used to produce it. diff --git a/layouts/shortcodes/vaccines_dynamic_content.html b/layouts/shortcodes/vaccines_dynamic_content.html index b2e7e336..2b559403 100644 --- a/layouts/shortcodes/vaccines_dynamic_content.html +++ b/layouts/shortcodes/vaccines_dynamic_content.html @@ -45,10 +45,12 @@ request[i] = new XMLHttpRequest(); request[i].open("GET", to_be_added[i], true); request[i].onreadystatechange = function (oEvent) { - if (i == 0 & this.readyState == 4 && this.status == 200) { - var file_info = JSON.parse(this.responseText); - document.getElementById(els[0]).innerText = String(file_info.modified).substring(0, 10); - }; + // The auto update of last modification date for vaccine is disabled for now, + // it is hard coded in the vaccines.md file directly + // if (i == 0 & this.readyState == 4 && this.status == 200) { + // var file_info = JSON.parse(this.responseText); + // document.getElementById(els[0]).innerText = String(file_info.modified).substring(0, 10); + // }; if (i == 1 & this.readyState == 4 && this.status == 200) { var content = JSON.parse(this.responseText); document.getElementById(els[1]).innerText = String(content.eligible_one_dose); From aa44267b0d25b9a5ffe1189b118954afe20b13df Mon Sep 17 00:00:00 2001 From: Senthilkumar Panneerselvam Date: Thu, 18 Apr 2024 15:05:24 +0200 Subject: [PATCH 3/9] change to JPG --- content/svenska/dashboards/variants_region_uppsala.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/content/svenska/dashboards/variants_region_uppsala.md b/content/svenska/dashboards/variants_region_uppsala.md index 5be2fefe..019c4b9b 100644 --- a/content/svenska/dashboards/variants_region_uppsala.md +++ b/content/svenska/dashboards/variants_region_uppsala.md @@ -1,7 +1,7 @@ --- title: SARS-CoV-2-varianter upptäckta i Region Uppsala description: Övervakning av virusgenomsekvenser är avgörande för att kunna spåra spridningen av virusvarianter. Denna dashboard visar data från helgenomsekvenseringar som genererats av Akademiska sjukhuset i Uppsala. -banner: /dashboard_thumbs/nanopore_seq_cropped.png +banner: /dashboard_thumbs/nanopore_seq_cropped.jpg toc: true plotly: true menu: From 8572d71afaff0fdd909a61e6f0968178057a8b0a Mon Sep 17 00:00:00 2001 From: LianeHughes <68756672+LianeHughes@users.noreply.github.com> Date: Thu, 25 Apr 2024 12:50:13 +0200 Subject: [PATCH 4/9] Commit maintenance message and PLP related updates --- .../dashboards/multidisease_serology.md | 189 +++++++++++++----- .../english/dashboards/serology-statistics.md | 14 +- .../dashboards/variants_region_uppsala.md | 2 +- content/english/resources/bsl3.md | 34 +++- content/english/updates/serology_and_PLP.md | 15 ++ .../svenska/dashboards/serology-statistics.md | 173 ++++------------ .../dashboards/variants_region_uppsala.md | 2 +- layouts/index.html | 7 + .../bsl3-facility-crispr-based-antiviral.png | Bin 129650 -> 351945 bytes static/resorces/bsl3-network-members.png | Bin 14808 -> 0 bytes static/resorces/bsl3_network_members.png | Bin 0 -> 90756 bytes static/resources_thumbs/bsl3_lab_2.png | Bin 0 -> 28679 bytes 12 files changed, 228 insertions(+), 208 deletions(-) create mode 100644 content/english/updates/serology_and_PLP.md delete mode 100644 static/resorces/bsl3-network-members.png create mode 100644 static/resorces/bsl3_network_members.png create mode 100644 static/resources_thumbs/bsl3_lab_2.png diff --git a/content/english/dashboards/multidisease_serology.md b/content/english/dashboards/multidisease_serology.md index 639a80f0..bc7bb499 100644 --- a/content/english/dashboards/multidisease_serology.md +++ b/content/english/dashboards/multidisease_serology.md @@ -12,11 +12,6 @@ dashboards_topics: toc: true --- -
The information on this dashboard will be extended to include testing data when it becomes available. -
- ## Introduction The COVID-19 pandemic highlighted the importance of serological surveillance in tracking viral transmission dynamics, understanding immune responses, guiding vaccination strategies, and assisting in decisions related to public health. High-throughput serological assays for SARS-CoV-2 were developed very early in the pandemic at KTH and SciLifeLab to enable surveillance of populations globally. For information about work done with SARS-CoV-2 during the pandemic, see the [historical background section](#historical-background). @@ -37,7 +32,11 @@ The proteins designed and produced created by the project to date are listed in ### Table of proteins created at KTH -Proteins designed, expressed, purified, and characterised at the [KTH node of Protein Production Sweden](https://www.kth.se/pps), a national research infrastructure funded by the Swedish Research Council. They have been expressed either in HEK or CHO cells or in _E.scherichia coli_, with different affinity tags and either as fragments or full-length proteins. +Proteins designed, expressed, purified, and characterised at the [KTH node of Protein Production Sweden](https://www.kth.se/pps), a national research infrastructure funded by the Swedish Research Council. They have been expressed either in HEK or CHO cells or in _E. coli_, with different affinity tags and either as fragments or full-length proteins. + +
+ Rotating your phone will improve the view of this table. +
@@ -45,229 +44,319 @@ Proteins designed, expressed, purified, and characterised at the [KTH node of Pr - + + + + - + + - - + + + + - - + + + + - - + + + + + - + + + - + + + - + + - - + + + + + - + + + - + + + + + + + + + + + + + + + + + + + + + + - - + + + + - + + + - - + + + + - - + + + + - - + + + + - - + + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + + - + + +
Virus Type VariantCommentProteinDetailsHost
SARS-CoV-2Wildtype virus SpikeWildtype virus, 20 different variantsSpike, 9 different variantsHEK/CHO
SARS-CoV-2Spike RBDWildtype virus, 10 different variantsWildtype virusSpikeSpike RBD, 5 different variantsE. coli/HEK/CHO
SARS-CoV-2Spike S1Wildtype virus, 19 different variantsWildtype virusSpikeSpike S1, 14 different variantsE. coli/HEK/CHO
SARS-CoV-2Spike S2Wildtype virus, 4 different variantsWildtype virusSpikeSpike S2, 4 different variantsE. coli
SARS-CoV-2Wildtype virus NucleocapsidWildtype virus, 17 different variants6 different variantsE. coli/HEK/CHO
SARS-CoV-2Wildtype virus EnvelopWildtype virus, 2 different variants2 different variantsE. coli
SARS-CoV-2Wildtype virus MembraneWildtype virus, 1 different variants1 variantE. coli
SARS-CoV-2RNA PloymeraseWildtype virus, 1 different variantsWildtype virusRNA Polymerase1 variantE. coli
SARS-CoV-2Wildtype virus Non-structural proteins (NSP)Wildtype virus, 24 different variants24 different variantsE. coli
SARS-CoV-2Wildtype virus ORF proteinsWildtype virus, 19 different variants19 different variantsE. coli
SARS-CoV-2 Alpha (B.1.1.7)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Beta (B.1.351)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Gamma (P.1)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Delta (B.1.617.2)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Delta plus (B.1.617.2.1)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Eta (B.1.525)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Kappa (B.1.617.1)Spike Mutation only in the RBD-regionHEK
SARS-CoV-2 Omicron BA.1Spike Complete set of mutationsHEK
SARS-CoV-2 Omicron BA.2Spike Complete set of mutationsHEK
SARS-CoV-2 Omicron BA.5Spike Complete set of mutationsHEK
Other human corona virusesSARS-CoVSARS-CoV-2 SpikeHEK
Other human corona viruses MERS-CoV SpikeHEK
Other human corona virusesHCoV-229ECommon human coronaviruses229ESpike HEK
Other human corona virusesHCoV-HKU1Common human coronavirusesHKU1Spike HEK
Other human corona virusesHCoV-NL63Common human coronavirusesNL63Spike HEK
Other human corona virusesHCoV-OC43Common human coronavirusesOC43Spike CHO
Influenza virusA/H1N1 HA/Wisconsin/588/2019A/H1N1/Wisconsin/588/2019Hemagglutinin HEK
Influenza virusA/H1N1 NA/Wisconsin/588/2019A/H1N1/Wisconsin/588/2019Neuraminidase CHO
Influenza virusA/H3N2 HA/Cambodia/e0826360/2020A/H3N2/Cambodia/e0826360/2020Hemagglutinin HEK
Influenza virusA/H3N2 NA/Cambodia/e0826360/2020A/H3N2/Cambodia/e0826360/2020Neuraminidase HEK
Influenza virusB/Victoria HA/Washington/02/2019B/Victoria/Washington/02/2019Hemagglutinin HEK
Influenza virusB/Victoria NA/Washington/02/2019B/Victoria/Washington/02/2019Neuraminidase HEK
Respiratory Syncytial Virus (RSV)A/A2 Glycoprotein tetramerA/A2Glycoprotein HEK
Respiratory Syncytial Virus (RSV)B/18537 Fusion proteinB/18537Fusion protein CHO
Respiratory Syncytial Virus (RSV)B/18537 Glycoprotein tetramerB/18537Glycoprotein CHO
Adenovirus HAdV-B7Fiber protein (aka spike protein)Fiber proteinHEK
Parainfluenza HPIV-1 strain C39FFusion Protein
Parainfluenza HPIV-1 strain Washington/1957HNHemagglutinin-neuraminidase
Metapneumovirus HMPV-A strain CAN97-83FFusion Protein
Metapneumovirus HMPV-A strain CAN97-83GGlycoproteinHEK
MpoxA29L A29LHEK
MpoxA30L A30LHEK
MpoxE8L E8LHEK
MpoxH3L H3LHEK
diff --git a/content/english/dashboards/serology-statistics.md b/content/english/dashboards/serology-statistics.md index 08e183b4..f381adce 100644 --- a/content/english/dashboards/serology-statistics.md +++ b/content/english/dashboards/serology-statistics.md @@ -18,10 +18,10 @@ dashboards_topics: [COVID-19, Infectious diseases]
  The data on this page are largely historic, though they may be updated occasionally. The Autoimmunity and Serology Profiling unit has now expanded their pandemic preparedness efforts to include tests for multiple other viruses. Information about that work can be found on the Multiplex and high-throughput multi-disease serology dashboard.The data on this page are largely historic, though they may be updated occasionally. The Autoimmunity and Serology Profiling unit has now expanded their pandemic preparedness efforts to include tests for multiple other viruses. Information about that work can be found on the multi-disease serology dashboard.
-Serology tests involve testing bodily fluids for the presence of antibodies or other substances. Since the beginning of the pandemic, the SciLifeLab Autoimmunity and Serology Profiling unit has conducted serology tests for antibodies targetting SARS-CoV-2 proteins. The unit has continuously provided the latest data to the Swedish Pathogens Portal. In each of the below sections, we show the numbers of samples that were **positive**, **negative** or **research and development (R&D)**. +Serology tests involve testing bodily fluids for the presence of antibodies or other substances. Since the beginning of the pandemic, the SciLifeLab Autoimmunity and Serology Profiling unit has conducted serology tests for antibodies targeting SARS-CoV-2 proteins. The unit has continuously provided the latest data to the Swedish Pathogens Portal. In each of the below sections, we show the numbers of samples that were **positive**, **negative** or **research and development (R&D)**. - **Positive tests**: Serology tests indicating the _presence_ of immunoglobulin G (IgG) antibodies targetting SARS-CoV-2 proteins. - **Negative tests**: Serology tests indicating the _absence_ of immunoglobulin G (IgG) antibodies targetting SARS-CoV-2 proteins. @@ -29,9 +29,9 @@ Serology tests involve testing bodily fluids for the presence of antibodies or o
Data last updated: {{% serology_date_modified %}}.
-## Number of serology tests completed + ## Weekly serology tests @@ -69,9 +69,9 @@ The cumulative number of positive, negative, and research & development (R&D) SA #### About serology testing at the Autoimmunity and Serology Profiling unit -Early in the COVID-19 pandemic, work was initiated to [develop a serological assay](https://www.scilifelab.se/covid-19/kaw-program/serology/) for large scale testing of plasma and serum samples for antibodies against SARS-CoV-2. The work was undertaken by three research groups at [KTH Royal Institute of Technology (KTH)](https://www.kth.se) and the [Autoimmunity and Serology Profiling unit](https://www.scilifelab.se/facilities/autoimmunity-profiling/) at [SciLifeLab](https://www.scilifelab.se). The development of the assay has been funded by Knut and Alice Wallenberg Foundation, Erling-Persson Family Foundation, SciLifeLab, KTH, Region Stockholm, Atlas Copco, Mercodia, Family Christian and Jennifer Dahlberg, and Family Birgitta Klasén. +Early in the COVID-19 pandemic, work was initiated to [develop a serological assay](https://www.scilifelab.se/capabilities/pandemic-laboratory-preparedness/pandemic-response/other-scilifelab-efforts/serology/) for large scale testing of plasma and serum samples for antibodies against SARS-CoV-2. The work was undertaken by three research groups at [the Department of Protein Science, KTH Royal Institute of Technology (KTH)](https://www.kth.se/pro) and the [Autoimmunity and Serology Profiling unit](https://www.scilifelab.se/facilities/autoimmunity-profiling/) at [SciLifeLab](https://www.scilifelab.se). -By comparing and combining a large number of variants of SARS-CoV-2 proteins as antigens, a highly sensitive and specific multiplex bead-based assay was established. The high-throughput assay can be used to process up to 8000 samples per week. The vast majority of samples analysed to date originated from healthcare personnel, population-based studies, personnel in the pharmaceutical and biotechnology industry, and from within multiple research collaborations. Collaborators and sample providers include Danderyd University Hospital ([see news involving a follow-up study at Danderyd University Hospital](https://www.scilifelab.se/news/four-out-of-five-still-have-antibodies-against-sars-cov-2)), Karolinska University Hospital, Uppsala University Hospital, Skåne University Hospital, Örebro University Hospital, Sophiahemmet Hospital, Public Health Agency of Sweden, RISE (Research Institutes of Sweden), AstraZeneca, Cytiva, SVPH, Karolinska Institutet, KTH, Uppsala University, and Lund University. +By comparing and combining a large number of variants of SARS-CoV-2 proteins as antigens, a [highly sensitive and specific multiplex bead-based assay](https://doi.org/10.1002/cti2.1312) was established. The high-throughput assay can be used to process up to 8000 samples per week. The vast majority of samples analysed to date originated from healthcare personnel, population-based studies, personnel in the pharmaceutical and biotechnology industry, and from within multiple research collaborations. Collaborators and sample providers include the community study at Danderyd University Hospital ([see news involving a follow-up study at Danderyd University Hospital](https://www.scilifelab.se/news/four-out-of-five-still-have-antibodies-against-sars-cov-2)), Karolinska University Hospital, Uppsala University Hospital, Skåne University Hospital, Örebro University Hospital, Sophiahemmet Hospital, Public Health Agency of Sweden, RISE (Research Institutes of Sweden), AstraZeneca, Cytiva, SVPH, Karolinska Institutet, KTH, Uppsala University, and Lund University. Check out the [Autoimmunity and Serology Profiling unit page](https://www.scilifelab.se/units/autoimmunity-profiling/) on the SciLifeLab website to find out more about the unit itself. Publications produced by studies making use of the unit are available in the [SciLifeLab Infrastructure Publications database](https://publications.scilifelab.se/label/Autoimmunity%20and%20Serology%20Profiling). diff --git a/content/english/dashboards/variants_region_uppsala.md b/content/english/dashboards/variants_region_uppsala.md index 13558213..8e5cd63e 100644 --- a/content/english/dashboards/variants_region_uppsala.md +++ b/content/english/dashboards/variants_region_uppsala.md @@ -17,7 +17,7 @@ Surveillance of a viral pathogen is essential for minimising the impacts of that Throughout the pandemic and until present day, the section for [Clinical Microbiology and Hospital Hygiene at Uppsala University Hospital](https://www.akademiska.se/en/departments/departments/klinisk-mikrobiologi-och-vardhygien/) have conducted surveillance for SARS-CoV-2 in Uppsala. To do this, they performed whole genome sequencing on samples from SARS-CoV-2 positive patients in the Uppsala region. Throughout the COVID-19 pandemic, they sequenced over 12,000 samples from Uppsala. -This dashboard includes two visualisations of the data from the section for Clinical Microbiology and Hospital Hygiene at Uppsala University Hospital. It also contains contact information for those behind the work, information about the code used to generate the graphs, and relevant publications. The data on this dashboard will be updated **approximately weekly**. +This dashboard includes two visualisations of the data from the section for Clinical Microbiology and Hospital Hygiene at Uppsala University Hospital. It also contains contact information for those behind the work, information about the code used to generate the graphs, and relevant publications. The data on this dashboard will be updated **approximately monthly**. ## SARS-CoV-2 Sequence Visualisations diff --git a/content/english/resources/bsl3.md b/content/english/resources/bsl3.md index 33cf6995..b9104abd 100644 --- a/content/english/resources/bsl3.md +++ b/content/english/resources/bsl3.md @@ -1,33 +1,47 @@ --- title: "BSL3 Biomedicum-SciLifeLab Collaborative Platform" category: "plp1" -banner: "/resources_thumbs/bsl3_lab.jpg" +banner: "/resources_thumbs/bsl3_lab_2.png" resource_info: name: "BSL3 Biomedicum-SciLifeLab Collaborative Platform" pi: Antonio Rothfuchs host_organisation: Karolinska Institutet - contact: "Marianna Tampere
Coordinator Swedish BSL3 Network
Email: [marianna.tampere@ki.se](mailto:marianna.tampere@ki.se)

Antonio Gigliotti Rothfuchs
BSL3 Director
Email: [antonio.rothfuchs@ki.se](mailto:antonio.rothfuchs@ki.se)" + contact: "Marianna Tampere
Coordinator Swedish BSL3 Network
Email: [marianna.tampere@ki.se](mailto:marianna.tampere@ki.se)

Antonio Gigliotti Rothfuchs
Director, BSL3 Biomedicum
Email: [antonio.rothfuchs@ki.se](mailto:antonio.rothfuchs@ki.se)" for_background_table: pi: Antonio Rothfuchs pi_affiliation: Karolinska Institutet --- +The Biosafety Level 3 (BSL3) laboratory is a barrier with advanced work routines, equipment with extra safety measures, manned by highly-qualified personnel (HQP) that perform experiments, introduce technology, and train users. It is essential for research activities on risk-group 3 pathogens and as such to mount a rapid response to new outbreaks. Research activities in BSL3 include pathogen isolation and culture, evaluation of pathogen function and interaction with host cells, establishment of diagnostics and pathogen-detection methods, validation of pathogen inactivation methods, measurement of pathogen half-life on surfaces and in air, drug screening, antimicrobial resistance screening, vaccine testing, and many other infection assays in cells, tissues, or organoids. **The BSL3 laboratory is incumbent to Pandemic Laboratory Preparedness (PLP).** + This resource involves two separate components: -###### 1. Swedish biosafety level 3 (BSL3) network +(1) Inclusion of **Karolinska Institutet’s BSL3 facility in Biomedicum** as a capability within SciLifeLab’s PLP program. + +(2) Establishment of the **Swedish BSL3 Network**, a platform for BSl3 facilities to share experiences, resources and network. + +###### 1. Access to Swedish researchers to a state-of-the-art biosafety level 3 (BSL3) facility + +BSL3 Biomedicum in Solna is approved to handle various RG3 pathogens (viruses, parasites and bacteria), including several genetically-modified variants (R-GMM). As part of the PLP program, the facility supports research activities integrated in its capabilities that are available also as a service to users. + +Advanced capabilities for Pandemic Preparedness: + +The facility has unique capabilities for high-throughput (HTP) screening and for pathogen aerobiology. For HTP, the facility is equipped with pipetting robotics and advanced plate reading to screen compound libraries in BSL3 using an imaging-based approach, and a luminescence-based approach to study cell-cytopathic effects. The HTP capability draws on a close collaboration with SciLifeLab’s CBCS (Chemical Biology Consortium Sweden) infrastructure. For aerobiology, the facility is equipped with a world-unique capability to study the decay of pathogens in aerosol, reliant on a tailored aerosol chamber and air sampling devices. The facility has air sampling methods to detect SARS-CoV-2 in aerosol by culture and molecular methods. -For more information on the BSL3 network (including information on access, use, and contact), please see the dedicated [BSL3 network page](/resources-subprojects/bsl3-network/). +For more information on BSL3 Biomedicum (including information on access, use, full instrument capabilities and contact), please see the dedicated [BSL3 facility page](/resources-subprojects/bsl3-facility/).
- A generic square placeholder image with rounded corners in a figure. -
Current members of the Swedish BSL3 network
+ Image showing method of Testing CRISPR-based antivirals at BSL3 Biomedicum +
Testing CRISPR-based antivirals at BSL3 Biomedicum.
-###### 2. State-of-the-art biosafety level 3 (BSL3) facility +###### 2. The Swedish Biosafety Level 3 (BSL3) Network + +The Swedish BSL3 Network (SB3N) is an open network for Swedish BSL3 facilities, in academia and government (BSL3 Directors, HQPs, and users alike) to come together to share experiences, knowledge, and technology. The network maps Swedish BSL3 capabilities and specialisations, defines joint actions for PLP and provides visibility and outreach for its members. Current members in the network come from 6 different Swedish universities and 1 university hospital. SB3N collaborates with the Canadian Consortium for Academic BSL3 Laboratories (CCABL3) and the Coronavirus Variants Rapid Response Network (CoVaRRNet). -For more information on the BSL3 facility (including information on access, use, and contact), please see the dedicated [BSL3 facility page](/resources-subprojects/bsl3-facility/). +For more information on the BSL3 Network (including information on access, use, and contact), please see the dedicated [BSL3 network page](/resources-subprojects/bsl3-network/).
- A generic square placeholder image with rounded corners in a figure. -
Testing CRISPR-based antivirals at BSL3 Biomedicum.
+ A map showing current members of the Swedish BSL3 network +
Current members of the Swedish BSL3 network
diff --git a/content/english/updates/serology_and_PLP.md b/content/english/updates/serology_and_PLP.md new file mode 100644 index 00000000..8b74676c --- /dev/null +++ b/content/english/updates/serology_and_PLP.md @@ -0,0 +1,15 @@ +--- +title: "Update on multi-disease serology and Pandemic Laboratory Preparedness at SciLifeLab." +date: 2024-04-25 +summary: Recent updates to existing sections for pandemic laboratory preparedness, and news of a new dashboard. +banner: /dashboard_thumbs/multi-disease-serology.jpg +banner_caption: "Representation of multi-disease serology generated using AI." +--- + +Our latest dashboard discusses updates from one of SciLifeLab's Pandemic Laboratory Preparedness (PLP) capabilities: [multi-disease serology](/resources/serology/). The [multi-disease serology dashboard](/dashboards/multidisease_serology/) shows proteins created at KTH that are related to viruses including SARS-CoV-2, influenza, RSV, adenovirus, and Mpox. It also shows antigens that have been produced externally as the PLP capability expands to work with flavivirus and herpesvirus. + +The release of this dashboard coincides with updates to the existing dashboard on [Serology tests for SARS-CoV-2 at SciLifeLab](/dashboards/serology-statistics/). The dashboard shows the number of serology tests conducted at SciLifeLab's Autoimmunology and Serology Profiling unit since early 2020. This includes the number of tests that were positive for SARS-CoV-2, the number that were negative, and the number that were used for research and development. + +There have also been updates to the [Pandemic Laboratory Preparedness Capabilities section](/resources/), which shows projects that are related to SciLifeLab's Pandemic Laboratory Preparedness (PLP) Program. + +If you are interested in having your work in the areas of pandemic preparedness and/or infectious disease promoted on the portal, please [contact the portal team](/contact/). diff --git a/content/svenska/dashboards/serology-statistics.md b/content/svenska/dashboards/serology-statistics.md index bae31687..58bde2dd 100644 --- a/content/svenska/dashboards/serology-statistics.md +++ b/content/svenska/dashboards/serology-statistics.md @@ -4,176 +4,71 @@ description: SARS-CoV-2 antikoppstestning utförs av SciLifeLab Autoimmunology a banner: /dashboard_thumbs/auto_sero.jpg toc: false menu: - dashboard_menu: - identifier: serology - name: SARS-CoV-2 antikoppstester som utförts av SciLifeLab + dashboard_menu: + identifier: serology + name: SARS-CoV-2 antikoppstester som utförts av SciLifeLab aliases: - - /sv/data_types/health_data/serology-statistics/ - + - /sv/data_types/health_data/serology-statistics/ --- -
Grafiken på denna sida är baserad på data senast uppdaterad den {{% serology_date_modified %}}.
+
Denna sida är primärt ett arkiv för tidigare publicerade data, men den kan komma att uppdateras även i framtiden. Enheten Autoimmunity and Serology Profiling har nu utökat sin pandemiberedskap till att omfatta tester för flera andra virus. Information om detta arbete finns på 'multi-disease serology dashboard'. +
+ +Serologiska tester innebär att kroppsvätskor testas för förekomst av antikroppar eller andra ämnen. Sedan pandemins början har enheten SciLifeLab Autoimmunity and Serology Profiling genomfört serologiska tester för antikroppar riktade mot SARS-CoV-2-proteiner. Enheten har kontinuerligt tillhandahållit de senaste uppgifterna till Swedish Pathogens Portal. I vart och ett av avsnitten nedan visar vi antalet prover som var **positiva**, **negativa** eller **forskning och utveckling (R&D)**. + +- **Positiva tester**: Serologiska tester som indikerar _förekomst_ av immunoglobulin G (IgG)-antikroppar mot SARS-CoV-2-proteiner. +- **Negativa tester**: Serologiska tester som indikerar _frånvaro_ av immunoglobulin G (IgG)-antikroppar mot SARS-CoV-2-proteiner. +- **R&D-tester**: Alla återstående serum-, plasma- och salivprover som kompletterades för att testa nivåerna IgG-, IgM- eller IgA-antikroppar mot SARS-CoV-2-proteiner. Detta omfattar alla positiva och negativa kontroller, alla replikerade och omreplikerade prover och analyser, alla prover som analyserats under den kontinuerliga utvecklingen och optimeringen av testerna, tekniskt misslyckade prover och alla forskningsrelaterade projekt. + +
Senaste uppdatering: {{% serology_date_modified %}}.
-#### Totala antalet tester + -#### Veckovis antal tester +## Serologiska tester per vecka -Antalet SARS-CoV-2 antikroppstester analyserade per vecka vid SciLifeLab Autoimmunity and Serology profiling facility, uppdelade i positivt IgG-testresultat, negativt IgG-testresultat, och R&D-tester (research and development). +Antalet SARS-CoV-2 serologitester som SciLifeLab Autoimmunity and Serology Profiling-enheten genomförde varje vecka, uppdelat efter om testerna var positiva, negativa eller inom forskning och utveckling (R&D). -
- Scroll the plot sideways to view all data. +
+ Att rotera mobiltelefonen kan förbättra grafens layout
-
*Kategorin som benämns som "R&D" (research and development) inkluderar alla återstående serum-, plasma- och salivprover där nivåer av IgG-, IgM- eller IgA-antikroppar riktade mot SARS-CoV-2-proteiner mätts. Kategorin innehåller alla positiva och negativa kontrollprover, alla replikat och omkörningar av prover och analyser, alla prover som analyserats som en del av utveckling och optimering, tekniskt misslyckade prover och prover inom forskningsassocierade projekt.
- -#### Kumulativt antal tester +## Kumulativa serologiska tester -Det totala antalet SARS-CoV-2 antikroppstester analyserade på SciLifeLab Autoimmunity and Serology profiling facility sedan start, uppdelade i positivt IgG-testresultat, negativt IgG-testresultat, och R&D-tester (research and development). +Det kumulativa antalet positiva, negativa och forsknings- och utvecklingstester (R&D) av SARS-CoV-2-serologi som slutförts över tid vid SciLifeLab Autoimmunity and Serology Profiling-enheten. -
- Scroll the plot sideways to view all data. +
+ Att rotera mobiltelefonen kan förbättra grafens layout
-
*Kategorin som benämns som "R&D" (research and development) inkluderar alla återstående serum-, plasma- och salivprover där nivåer av IgG-, IgM- eller IgA-antikroppar riktade mot SARS-CoV-2-proteiner mätts. Kategorin innehåller alla positiva och negativa kontrollprover, alla replikat och omkörningar av prover och analyser, alla prover som analyserats som en del av utveckling och optimering, tekniskt misslyckade prover och prover inom forskningsassocierade projekt.
- -#### Om tester vid SciLifeLab Autoimmunity and Serology profiling facility - -Under den tidig fasen av covid-19-pandemin, påbörjade tre forskargrupper på [KTH](https://www.kth.se) tillsammans med [Autoimmunity profiling facility](https://www.scilifelab.se/facilities/autoimmunity-profiling/) vid SciLifeLab arbetet att [utveckla en serologisk analysmetod](https://www.scilifelab.se/covid-19/kaw-program/serology/) för att möjliggöra storskalig testning av plasma- och serumprover för antikroppar mot SARS-CoV-2. Arbetet initierades och koordinerades av tre KTH-professorer, Peter Nilsson, Sophia Hober och My Hedhammar. - -Utvecklingsarbetet har finansierats av Knut och Alice Wallenbergs Stiftelse, Familjen Erling-Perssons Stiftelse, KTH, SciLifeLab, KTH, Region Stockholm, Atlas Copco, Mercodia, Familjen Christian och Jennifer Dahlberg, Familjen Birgitta Klasén. - -Genom att jämföra och kombinera ett stort antal variationer av SARS- CoV- 2-proteiner som antigener, har en specifik array-baserad teknologi med hög känslighet etablerats och applicerats för storskalig analys av upp till 8000 prover per vecka. De allra flesta prover som hittills analyserats har samlats in från vårdpersonal och inom befolknings-baserade studier, från personal inom läkemedels- och bioteknikindustrin samt genom ett antal forskningssamarbeten. - -Provinsamlingsenheter och forskningssamarbeten inkluderar [Danderyds Universitetssjukhus](https://www.scilifelab.se/news/four-out-of-five-still-have-antibodies-against-sars-cov-2), Karolinska Universitetssjukhuset, Akademiska sjukhuset i Uppsala, Skånes universitetssjukhus, Örebro Universitetssjukhus, Sophiahemmet, Folkhälsomyndigheten, RISE Research Institutes of Sweden, AstraZeneca, Cytiva, SVPH, Karolinska Institutet, KTH, Uppsala universitet och Lunds universitet. - -SciLifeLab faciliteten har ny bytt namn - [Autoimmunity and Serology Profiling facility](https://www.scilifelab.se/facilities/autoimmunity-profiling/). - -#### Publicerade vetenskapliga artiklar och preprint - -Senast uppdaterad: 2021-11-15 - -- Peter Bergman, Ola Blennow, Lotta Hansson, Stephan Mielke, Piotr -Nowak, Puran Chen, Gunnar Söderdahl, Anders Österborg, Edvard Smith, David Wullimann, Jan Vesterbacka, Gustaf Lindgren, -Lisa Blixt, Gustav Friman, Emilie Wahren Borgstrom, Anna Nordlander, Angelica Cuapio Gomez, Mira Akber, Davide Valentini, -Anna-Carin Norlin, Anders Thalme, Gordana Bogdanovic, Sandra Muschiol, Peter Nilsson, Sophia Hober, Karin Lore, Margaret -Sällberg Chen, Marcus Buggert, Hans-Gustav Ljunggren, Per Ljungman, Soo Aleman. Safety and efficacy of the mRNA BNT162b2 vaccine against SARS-CoV-2 in five groups of immunocompromised patients and -healthy controls in a prospective open-label clinical trial. *EBioMedicine* **in press**. [https://doi.org/10.1101/2021.09.07.21263206](https://doi.org/10.1101/2021.09.07.21263206) - -- Raphael Carapito, Richard Li, Julie Helms, Christine Carapito, Sharvari Gujja, Véronique Rolli, Raony Guimaraes, Jose Malagon- -Lopez, Perrine Spinnhirny, Razieh Mohseninia, Aurélie Hirschler, Leslie Muller, Paul Bastard, Adrian Gervais, Qian Zhang, -Francois Danion, Yvon Ruch, Maleka Schenck-Dhif, Olivier Collange, Thiên-Nga Chamaraux-Tran, Anne Molitor, Angélique -Pichot, Alice Bernard, Ouria Tahar, Sabrina Bibi-Triki, Haiguo Wu, Nicodème Paul, Sylvain Mayeur, Annabel Larnicol, Geraldine -Laumond, Julia Frappier, Sylvie Schmidt, Antoine Hanauer, Cécile Macquin, Tristan Stemmelen, Michael Simons, Xavier -Mariette, Olivier Hermine, Samira Fafi-Kremer, Bernard Goichot, Bernard Drenou, Khaldoun Kuteifan, Julien Pottecher, Paul- -Michel Mertes, Shweta Kailasan, M. Javad Aman, Elisa Pin, Peter Nilsson, Anne Thomas, Alain Viari, Damien Sanlaville, Francis -Schneider, Jean Sibilia, Pierre-Louis Tharaux, Jean-Laurent Casanova, Yves Hansmann, Daniel Lidar, Mirjana Radosavljevic, -Jeffrey Gulcher, Ferhat Meziani, Christiane Moog, Thomas W Chittenden, Seiamak Bahram. Identification of driver genes for severe forms of COVID-19 in a deeply phenotyped young patient cohort. *Science Translational Medicine* (2021). [https://doi.org/10.1126/scitranslmed.abj7521](https://doi.org/10.1126/scitranslmed.abj7521) - -- Sara Mravinacova, Malin Jönsson, Jonas Klingström, Jamil Yousef, Cecilia Hellström, Sebastian Havervall, Sara Kanje, Charlotte Thålin, Elisa Pin, Hanna Tegel, Peter -Nilsson, Anna Månberg, Sophia Hober. A cell free high-throughput assay for assessment of SARS-CoV-2 neutralization capability. *New Biotechnology* **66** (2022). [https://doi.org/10.1016/j.nbt.2021.10.002](https://doi.org/10.1016/j.nbt.2021.10.002) - -- Sebastian Havervall, Ulrika Marking, Nina Greilert-Norin, Max Gordon, Henry Ng, Wanda Christ, Kim Blom, Mia Phillipson, Peter Nilsson, Sophia Hober, Jonas Klingström, -Sara Mangsbo, Mikael Åberg, Charlotte Thålin. Impact of SARS-CoV-2 infection on vaccine-induced immune responses over time. *medRxiv* (2021). [https://doi.org/10.1101/2021.10.16.21264948](https://doi.org/10.1101/2021.10.16.21264948) - -- Katie Healy, Elisa Pin, Puran Chen, Gunnar Söderdahl, Piotr Nowak, Stephan Mielke, Lotta Hansson, Peter Bergman, -Edvard Smith, Per Ljungman, Davide Valentini, Ola Blennow, Anders Österborg, Giorgio Gabarrini, Khaled Al-Manei, Hassan -Alkharaan, Michal Jacek Sobkowiak, Xinling Xu, Mira Akber, Karin Loré, Cecilia Hellström, Sandra Muschiol, Gordana -Bogdanovic, Markus Buggert, Hans-Gustaf Ljunggren, Sophia Hober, Peter Nilsson, Soo Aleman, Margaret Sällberg Chen. Appearance of IgG to SARS-CoV-2 in saliva effectively indicates seroconversion in mRNA vaccinated immunocompromised -individuals. *medRxiv* (2021). [https://doi.org/10.1101/2021.09.30.21264377](https://doi.org/10.1101/2021.09.30.21264377) - -- Sara M Mangsbo, Sebastian Havervall, Ida Laurén, Robin Lindsay, August Jernbom Falk, Ulrika Marking, Martin Lord, Marcus Buggert, Pierre -Dönnes, Gustaf Christoffersson, Peter Nilsson, Sophia Hober, Mia Phillipson, Jonas Klingström, Charlotte Thålin. An evaluation of a FluoroSpot assay as a diagnostic tool to determine SARS-CoV-2 specific T-cell responses. *PLOS ONE* **16(9)** (2021). [https://doi.org/10.1371/journal.pone.0258041](https://doi.org/10.1371/journal.pone.0258041) - -- Lisa Blixt, Gordana Bogdanovic, Marcus Buggert, Yu Gao, Sophia Hober, Katie Healy, Hemming -Johansson, Christian Kjellander, Sara Mravinacova, Sandra Muschiol, Peter Nilsson, Marzia Palma, Elisa Pin, C.I. Edvard Smith, -Olga Stromberg, Margaret Sällberg Chen, Rula Zain, Lotta Hansson and Anders Österborg. Covid-19 in patients with chronic lymphocytic leukemia: Clinical outcome and B- and T-cell immunity during 13 months in -consecutive patients. *Leukemia* (2021). [https://doi.org/10.1038/s41375-021-01424-w](https://doi.org/10.1038/s41375-021-01424-w) - -- Klara Asplund Högelin; Nicolas Ruffin; Elisa Pin; Anna Månberg; Sophia Hober; Guro Gafvelin; Hans Grönlund; -Peter Nilsson; Mohsen Khademi; Tomas Olsson; Fredrik Piehl; Faiez Al Nimer. Development of humoral and cellular immunological memory against SARS-CoV-2 despite B-cell depleting treatment in -multiple sclerosis. *iScience* **24(9)**. [https://doi.org/10.1016/j.isci.2021.103078](https://doi.org/10.1016/j.isci.2021.103078) - -- Sebastian Havervall, Henry Ng, August Jernbom Falk, Nina Greilert-Norin, Anna Månberg, Ulrika -Wimmercranz-Marking, Ida Laurén, Lena Gabrielsson, Ann-Christin Salomonsson, Katherina Aguilera, Martha Kihlgren, Maja -Månsson, Cecilia Hellström, Eni Andersson, Jennie Olofsson, Lovisa Skoglund, Jamil Yousef, Elisa Pin, Martin Lord, My -Hedhammar, Hanna Tegel, Pierre Dönnes, Mia Phillipson, Peter Nilsson, Jonas Klingström, Sara Mangsbo, Sophia Hober, -Charlotte Thålin. Robust humoral and cellular immune responses and low risk for reinfection at least eight months following asymptomatic -to mild COVID-19. *J Internal Medicine* (2021). [https://doi.org/10.1111/joim.13387](https://doi.org/10.1111/joim.13387) - -- Miriam Elfström, Jonas Blomqvist, Peter Nilsson, Sophia Hober, Elisa Pin, Anna Månberg, Ville N. Pimenoff, Laila Sara Arroyo Mühr, Kalle Conneryd Lundgren, Joakim Dillner. Differences in risk for SARS-CoV-2 infection among healthcare workers. *Preventive Medicine Reports* **24** (2021). [https://doi.org/10.1016/j.pmedr.2021.101518](https://doi.org/10.1016/j.pmedr.2021.101518) - -- Sebastian Havervall, Ulrika Marking, Nina Greilert-Norin, Henry Ng, Ann-Christin Salomonsson, Cecilia Hellström, Elisa -Pin, Kim Blom, Sara Mangsbo, Mia Phillipson, Jonas Klingström, Mikael Åberg, Sophia Hober, Peter Nilsson, Charlotte Thålin. Antibody Responses After a Single Dose of ChAdOx1 nCoV-19 Vaccine in Healthcare Workers Previously Infected with SARS- -CoV-2. *EBioMedicine* **70** (2021). [https://doi.org/10.1016/j.ebiom.2021.103523](https://doi.org/10.1016/j.ebiom.2021.103523) - -- Sebastian Havervall, Ulrika Marking, Max Gordon, Henry Ng, Nina Greilert-Norin, Sarah Lindbo, Kim Blom, Peter Nilsson, Mia Phillipson, Jonas Klingström, Sara Mangsbo, Mikael -Åberg, Sophia Hober, Charlotte Thålin. Neutralization of VOCs including Delta one year post COVID-19 or vaccine. *medRxiv* (2021). [https://doi.org/10.1101/2021.08.12.21261951](https://doi.org/10.1101/2021.08.12.21261951) - -- Sophia Hober, Cecilia Hellström, Jennie Olofsson, Eni Andersson, Sofia Bergström, August Jernbom Falk, Shaghayegh Bayati, -Sara Mravinacova, Ronald Sjöberg, Jamil Yousef, Lovisa Skoglund, Sara Kanje, Anna Berling, Anne-Sophie Svensson, Gabriella -Jenssen, Henric Enstedt, Delaram Afshari, Lan Xu, Martin Zwahlen, Kalle von Feilitzen, Leo Hanke, Ben Murrell, Gerald -McInerney, Gunilla B. Karlsson Hedestam, Christofer Lendel, Robert G. Roth, Ingmar Skoog, Elisabet Svenungsson, Tomas -Olsson, Anna Fogdell-Hahn, Ylva Lindroth, Maria Lundgren, Kimia T. Maleki, Nina Lagerqvist, Jonas Klingström, Rui Da Silva -Rodrigues, Sandra Muschiol, Gordana Bogdanovic, Laila Sara Arroyo Mühr, Carina Eklund, Camilla Lagheden, Joakim Dillner, -Åsa Sivertsson, Sebastian Havervall, Charlotte Thålin, Hanna Tegel, Elisa Pin, Anna Månberg, My Hedhammar, Peter Nilsson. Systematic evaluation of SARS-CoV-2 antigens enables a highly specific and sensitive multiplex serological COVID-19 assay. *Clinical & Translational Immunology* **e1312** (2021). [http://dx.doi.org/10.1002/cti2.1312](http://dx.doi.org/10.1002/cti2.1312) - -- Susanna Klevebro, Fuad Bahram, Miriam Elfström, Ulrika Hellberg, Sophia Hober, Simon Kebede Merid, Inger Kull, Peter Nilsson, Per -Tornvall, Gang Wang, Kalle Conneryd Lundgren, Sari Ponzer, Joakim Dillner, Erik Melén. Risk of SARS-CoV-2 exposure among hospital healthcare workers in relation to patient contact and type of care. *Scand J Publ Health* **49** (2021). [https://journals.sagepub.com/doi/10.1177/14034948211022434](https://journals.sagepub.com/doi/10.1177/14034948211022434) - -- Thomas Åkerlund, Katherina Zakikhany, Charlotta Löfström, Evelina Lindmark, Henrik Källberg, Ulla Elofsson, Karin Cederbrant, Erik Nygren, Anders Kallin, Nina Lagerkvist, Peter -Nilsson, Sophia Hober, Anna Ridderstad Wollberg, Åsa Szekely Björndal. Stable IgG-antibody levels in patients with mild SARS-CoV-2 infection. *medRxiv* (2021). [https://doi.org/10.1101/2021.06.16.21258960](https://doi.org/10.1101/2021.06.16.21258960) - -- Hassan Alkharaan, Shaghayegh Bayati, Cecilia Hellström, Annika Olsson, Karin Lindahl, Gordana Bogdanovic, Soo Aleman, Georgios Tsilingaridis, Patricia De Palma, Sophia Hober, Anna Månberg, Peter Nilsson, Elisa Pin, Margaret Sällberg -Chen. Persisting Salivary IgG against SARS-CoV-2 at 9 Months After Mild COVID-19 – A Complementary Approach to Population -Surveys. *J Infectious Diseases* **224** (2021). [https://doi.org/10.1093/infdis/jiab256](https://doi.org/10.1093/infdis/jiab256) - -- Nastya Kharlamova, Nicky Dunn, Sahl Khalid Bedri, Svante Jerling, Malin Almgren, Francesca Faustini, Iva Gunnarsson, Johan Rönnelid, -Rille Pullerits, Inger Gjertsson, Karin Lundberg, Anna Månberg, Elisa Pin, Peter Nilsson, Sophia Hober, Katharina Fink and Anna -Fogdell-Hahn. False positive results in SARS-CoV-2 serological tests for samples from patients with chronic inflammatory diseases. *Frontiers in Immunology* **12** (2021). [https://doi.org/10.3389/fimmu.2021.666114](https://doi.org/10.3389/fimmu.2021.666114) - -- Sebastian Havervall, Axel Rosell, Mia Phillipson, Sara Mangsbo, Peter Nilsson, Sophia Hober, Charlotte Thålin. Symptoms and functional impairment assessed 8 months after mild COVID-19 among health care workers. *JAMA* **325** (2021). +#### Om serologisk testning vid enheten för Autoimmunity and Serology Profiling -- Sadaf Sakina Hassan, Åsa Seigerud, Roda Abdirahman, Laila Sara Arroyo Mühr, Sara Nordqvist-Kleppe, Elisa Pin, Anna Månberg, Sophia -Hober, Peter Nilsson, Lars Engstrand, Miriam Elfström, Jonas Blomqvist, Kalle Conneryd-Lundgren, Joakim Dillner. SARS-CoV-2 infections among personnel providing home care services for older persons in Stockholm, Sweden. *J Internal Medicine* **290** (2021). [https://doi.org/10.1111/joim.13274](https://doi.org/10.1111/joim.13274) +Tidigt under covid-19-pandemin inleddes arbetet med att [utveckla en serologisk analys](https://www.scilifelab.se/capabilities/pandemic-laboratory-preparedness/pandemic-response/other-scilifelab-efforts/serology/) för storskalig testning av plasma- och serumprover för antikroppar mot SARS-CoV-2. Arbetet utfördes av tre forskargrupper vid [institutionen för proteinvetenskap, Kungliga Tekniska Högskolan (KTH)](https://www.kth.se/sv/pro/protein-science-1.784558) och [enheten för autoimmunitet och serologisk profilering](https://www.scilifelab.se/facilities/autoimmunity-profiling/) vid [SciLifeLab](https://www.scilifelab.se). -- Joakim Dillner, Miriam Elfström, Jonas Blomqvist, Carina Eklund, Camilla Lagheden, Sara Nordqvist-Kleppe, Cecilia Hellström, Jennie Olofsson, Eni Andersson, August Jernbom Falk, Sofia -Bergström, Emilie Hultin, Elisa Pin, Anna Månberg, Peter Nilsson, My Hedhammar, Sophia Hober, Johan Mattsson, Laila Sara -Arroyo Mühr, Kalle Conneryd Lundgren. Antibodies to SARS-CoV-2 and risk of past or future sick leave. *Scientific Reports* **11** (2021). [https://doi.org/10.1038/s41598-021-84356-w](https://doi.org/10.1038/s41598-021-84356-w) +Genom att jämföra och kombinera ett stort antal varianter av SARS-CoV-2-proteiner som antigener etablerades en [mycket känslig och specifik så kallad multiplex bead-based assay](https://doi.org/10.1002/cti2.1312). Assayen med hög kapacitet kan användas för att bearbeta upp till 8000 prover per vecka. De allra flesta prover som hittills har analyserats kommer från vårdpersonal, befolkningsbaserade studier, personal inom läkemedels- och bioteknikindustrin samt från flera olika forskningssamarbeten. Samarbetspartners och provleverantörer inkluderar samhällsstudien vid Danderyds universitetssjukhus ([se nyhet om uppföljningsstudie vid Danderyds universitetssjukhus](https://www.scilifelab.se/news/four-out-of-five-still-have-antibodies-against-sars-cov-2)), Karolinska universitetssjukhuset, Akademiska sjukhuset i Uppsala, Skånes universitetssjukhus, Universitetssjukhuset Örebro, Sophiahemmet, Folkhälsomyndigheten, RISE (Research Institutes of Sweden), AstraZeneca, Cytiva, SVPH, Karolinska Institutet, KTH, Uppsala universitet och Lunds universitet. -- Joakim Dillner, Miriam Elfström, Jonas Blomqvist, Lars Engstrand, Mathias Uhlén, Carina Eklund, Fredrik Boulund, Camilla Lagheden, Marica Hamsten, Sara -Nordqvist-Kleppe, Maike Seifert, Cecilia Hellström, Jennie Olofsson, Eni Andersson, August Jernbom Falk, Sofia Bergström, -Emilie Hultin, Elisa Pin, Ville N Pimenoff, Sadaf Hassan, Anna Månberg, Peter Nilsson, My Hedhammar, Sophia Hober, Johan -Mattsson, Laila Sara Arroyo Mühr, Kalle Conneryd-Lundgren. High amounts of SARS-CoV-2 precede sickness among asymptomatic healthcare workers. *J Infectious Diseases* **224** (2021). [https://doi.org/10.1093/infdis/jiab099](https://doi.org/10.1093/infdis/jiab099) - -- Sebastian Havervall, August Jernbom Falk, Jonas Klingström, Henry Ng, Nina Greilert-Norin, Lena Gabrielsson, Ann-Christin -Salomonsson, Eva Isaksson, Ann-Sofie Rudberg, Cecilia Hellström, Eni Andersson, Jennie Olofsson, Lovisa Skoglund, Jamil -Yousef, Elisa Pin, Wanda Christ, Mikaela Olausson, My Hedhammar, Hanna Tegel, Sara Mangsbo, Mia Phillipson, Anna -Månberg, Sophia Hober, Peter Nilsson, Charlotte Thålin. SARS-CoV-2 induces a durable and antigen specific humoral immunity after asymptomatic to mild COVID-19 infection. *medRxiv* (2021) [https://doi.org/10.1101/2021.01.03.21249162](https://doi.org/10.1101/2021.01.03.21249162) - -- Ann-Sofie Rudberg, Sebastian Havervall, Anna Månberg, August Jernbom Falk, Katherina Aguilera, Henry Ng, Lena Gabrielsson, Ann-Christin Salomonsson, -Leo Hanke, Ben Murrell, Gerald McInerney, Jennie Olofsson, Eni Andersson, Cecilia Hellström, Shaghayegh Bayati, Sofia -Bergström, Elisa Pin, Ronald Sjöberg, Hanna Tegel, My Hedhammar, Mia Phillipson, Peter Nilsson, Sophia Hober, Charlotte -Thålin. SARS-CoV-2 exposure, symptoms and seroprevalence in healthcare workers in Sweden. *Nature Communications* **11** (2020). [https://doi.org/10.1038/s41467-020-18848-0](https://doi.org/10.1038/s41467-020-18848-0) +Kolla in [Autoimmunity and Serology Profiling unit page](https://www.scilifelab.se/units/autoimmunity-profiling/) på SciLifeLabs webbplats för att få reda på mer om själva enheten. Publikationer som producerats av studier som använder enheten finns tillgängliga i databasen [SciLifeLab Infrastructure Publications](https://publications.scilifelab.se/label/Autoimmunity%20and%20Serology%20Profiling). diff --git a/content/svenska/dashboards/variants_region_uppsala.md b/content/svenska/dashboards/variants_region_uppsala.md index 019c4b9b..920438af 100644 --- a/content/svenska/dashboards/variants_region_uppsala.md +++ b/content/svenska/dashboards/variants_region_uppsala.md @@ -19,7 +19,7 @@ Under hela COVID-19 pandemin och fram till idag har Sektionen för [klinisk mikr Denna dashboard innehåller två visualiseringar av data från Sektionen för klinisk mikrobiologi och sjukhushygien vid Akademiska sjukhuset i Uppsala. Sidan innehåller även kontaktuppgifter till forskarna som delar dessa data samt länkar till relevanta publikationer. -Data på denna dashboard ska uppdateras veckovis. +Data på denna dashboard ska uppdateras varje månad. ## SARS-CoV-2 sekvenser Visualiseringar diff --git a/layouts/index.html b/layouts/index.html index 1af71215..697c241b 100644 --- a/layouts/index.html +++ b/layouts/index.html @@ -12,6 +12,13 @@ SciLifeLab Data Centre wish everyone a Merry Christmas and a Happy New Year!
The team will be away from 20th December until 2nd January, and will respond to any questions/requests as soon as possible. {{ end }}
--> +
+ {{ if eq $.Site.Language.LanguageName "Svenska" }} + Underhåll av Pathogens Portal Sverige kommer att genomföras måndagen den 29 april.
Användare kan därför uppleva vissa problem med att komma åt webbplatsen. + {{ else }} + The Swedish Pathogens Portal will be undergoing maintenance on Monday 29th April.
Users may experience some issues accessing the site during this time. + {{ end }} +
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static/resorces/bsl3_network_members.png | Bin 90756 -> 22776 bytes static/resources_thumbs/bsl3_lab.jpg | Bin 52588 -> 0 bytes .../{bsl3_lab_2.png => bsl3_lab.png} | Bin 5 files changed, 1 insertion(+), 1 deletion(-) delete mode 100644 static/resources_thumbs/bsl3_lab.jpg rename static/resources_thumbs/{bsl3_lab_2.png => bsl3_lab.png} (100%) diff --git a/content/english/resources/bsl3.md b/content/english/resources/bsl3.md index b9104abd..b189ed2d 100644 --- a/content/english/resources/bsl3.md +++ b/content/english/resources/bsl3.md @@ -1,7 +1,7 @@ --- title: "BSL3 Biomedicum-SciLifeLab Collaborative Platform" category: "plp1" -banner: "/resources_thumbs/bsl3_lab_2.png" +banner: "/resources_thumbs/bsl3_lab.png" resource_info: name: "BSL3 Biomedicum-SciLifeLab Collaborative Platform" pi: Antonio Rothfuchs diff --git a/static/resorces/bsl3-facility-crispr-based-antiviral.png b/static/resorces/bsl3-facility-crispr-based-antiviral.png index 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zFPh82X6oOWuNm<^n-;a>i!z*BMit{D)Npg}&lU77;wkW4Sp$^*wZr^5iYt$aP)9n4 zP#l26BOnquK9$bamMKX0pA&eyM)+^xh19hs!~tAMgRlnAnrFABBR@nP%kjRXC^ j`{dWMd|*UB5cM2^!~XzE^FJ;>?vKj7FKI64nt%V Date: Thu, 25 Apr 2024 15:57:57 +0200 Subject: [PATCH 6/9] Add citation page in Swedish --- content/svenska/citation.md | 56 +++++++++++++++++++++++++++++++++++++ 1 file changed, 56 insertions(+) create mode 100644 content/svenska/citation.md diff --git a/content/svenska/citation.md b/content/svenska/citation.md new file mode 100644 index 00000000..806ba0d5 --- /dev/null +++ b/content/svenska/citation.md @@ -0,0 +1,56 @@ +--- +title: Citera data, information och resurser från portalen +menu: + top_actions: + name: Citera oss + weight: 80 + pre: + footer_about: + name: Citera oss + weight: 30 +toc: true +--- + +I linje med principerna för öppen vetenskap och FAIR är data, information och resurser från Pathogens Portal Sverige fritt tillgängligt för användning och återanvändning. På den här sidan hittar du information om hur du på ett korrekt sätt kan citera när du återanvänder eller refererar till innehåll på portalen. Observera att informationen på portalen uppdateras kontinuerligt, därför är det viktigt att hänvisa till specifik version (eller ange åtkomstdatum) vid citering. + +## För forskare + +I det här avsnittet finner du instruktioner för hur du kan citera portalwebbplatsen, eller underliggande källkod, i forskningspublikationer. + +### Citera webbplatsens innehåll + +##### Research Resource Identifier för Pathogens Portal Sverige + +The Resource Identification Portal skapades till stöd för Resource Identification Initiative. Det syftar till att främja identifiering, upptäckt och återanvändning av forskningsresurser. Research Resource Identifiers (RRIDs) är persistenta och unika identifierare som används för att referera forskningsresurser. + +RRID för Pathogens Portal Sverige är [**SCR_024866**](https://scicrunch.org/resources/data/record/nlx_144509-1/SCR_024866/resolver?q=SCR_024866&l=SCR_024866&i=rrid:scr_024866). + +Att lägga till portalens RRID vid citering bidrar till att öka återanvändning av data, information och resurser från portalen, och gör det möjligt för oss att spåra aktivitet samt och tillåta andra att enkelt hitta den sammanfattande rapporten för användning av Pathogens Portal Sverige. + +##### APA format + +För officiell vägledning se [SciCrunch-sidan om RRID-citat](https://scicrunch.org/resources/about/guidelines). + +**Hänvisning i text:**: Swedish Pathogens Portal, SciLifeLab Data Centre, _version number_, RRID: SCR_024866. (Access date: date of access). + +**Reference list**: Swedish Pathogens Portal (_access date_), SciLifeLab Data Centre, version (version number) from https://pathogens.se, RRID:SCR_024866. + +Du hittar versionsnumret på portalen längst ner I sidfoten på valfri sida, eller på vårt Github repositorie under 'releases'. + +Om du vill citera en särskild sida från portalen som exempelvis "Data Highlights", kan du i vissa fall se att denna sida har en egen författare och publiceringsdatum. I detta fall bör du inkludera datum och författare, men samtidigt lägga till RRID. Det finns också vissa sidor där information om hur man kan citera data tillhandahålls, exempelvis separata doi för vissa dashboards som du bör använda för citering. + +### Citera källkod + +Portalens källkod har skapats av SciLifeLab Data Centre ch samarbetspartners. Många forskare från forskarsamhället har även bidragit till att utveckla källkoden. Portalens källkod ligger öppet tillgänglig för återanvändning på GitHub. Källkod för webbsidan ligger i pathogens-portal repository, och all källkod för visualiseringar ligger i visualisations repository. All källkod görs tillgänglig för återanvändning under en MIT licens. + +##### APA format + +SciLifeLab Data Centre (år) pathogens-portal. version: (versionsnummer)[Programvara]. +Zenodo. . + +SciLifeLab Data Centre (år) pathogens-portal-visualiseringar. version: +(versionsnummer)[Programvara]. Zenodo. _DOI to be confirmed_. + +## Journalister + +Journalister är välkomna att återanvänd bilder, innehåll och annat material på **Pathogens Portal Sverige** för exempelvis artiklar, bloggar och sociala media poster under förutsättning att portalen anges som käll. Vänligen ange **Pathogens Portal Sverige** och länka till webbsidan när du använder material från portalen. Om möjligt inkludera även RRID: **SCR_024866** (se information ovan kring RRID nummer). From 0dea80a917816c9fafae5999af34f6fad5f5e24c Mon Sep 17 00:00:00 2001 From: Senthilkumar Panneerselvam Date: Fri, 26 Apr 2024 09:01:38 +0200 Subject: [PATCH 7/9] Comment out migartion notice --- layouts/index.html | 8 +++++--- 1 file changed, 5 insertions(+), 3 deletions(-) diff --git a/layouts/index.html b/layouts/index.html index 697c241b..bfd496ab 100644 --- a/layouts/index.html +++ b/layouts/index.html @@ -11,14 +11,16 @@ SciLifeLab Data Centre wish everyone a Merry Christmas and a Happy New Year!
The team will be away from 20th December until 2nd January, and will respond to any questions/requests as soon as possible. {{ end }} -

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+
--> + + + {{ range .Site.Menus.homepage_dashboards }} From 6aa781052c705ec6e6e09c8014a4c6e3076d56e3 Mon Sep 17 00:00:00 2001 From: LianeHughes <68756672+LianeHughes@users.noreply.github.com> Date: Fri, 26 Apr 2024 12:53:47 +0200 Subject: [PATCH 8/9] minor revisions fixed typos and added missing translations --- content/english/citation.md | 6 +++--- content/svenska/citation.md | 18 +++++++++--------- 2 files changed, 12 insertions(+), 12 deletions(-) diff --git a/content/english/citation.md b/content/english/citation.md index 6f866952..d762173a 100644 --- a/content/english/citation.md +++ b/content/english/citation.md @@ -33,9 +33,9 @@ For official guidance see the [SciCrunch page on RRID citations](https://scicrun **In-text citation**: Swedish Pathogens Portal, SciLifeLab Data Centre, _version number_, RRID: SCR_024866. (Access date: date of access). -**Reference list**: Swedish Pathogens Portal (_access date_), SciLifeLab Data Centre, version (version number) from https://pathogens.se, RRID:SCR_024866. +**Reference list**: Swedish Pathogens Portal (_access date_), SciLifeLab Data Centre, version (version number) from https://www.pathogens.se, RRID:SCR_024866. -You will find the version number of the portal at the bottom of the footer on any page, or on our Github repository under 'releases'. +You will find the version number of the portal at the bottom of the footer on any page, or on our pathogens-portal GitHub repository under 'releases'. If you are aiming to cite particular pages of the portal in particular (e.g. the Data Highlights), you may find that an author is mentioned and a date is given. In this case, you should include the appropriate date and author instead, but must still include the RRID. There are also some pages were information for how to cite the data itself is provided (e.g. where a DOI is given on a dashboard page). In those cases, you should use that citation. @@ -51,4 +51,4 @@ SciLifeLab Data Centre (year) pathogens-portal-visualisations. version: (version ## Journalists -Journalists are welcome to reuse images, content, or other material from the **Swedish Pathogens Portal** for articles, blogs, social media etc., provided that the portal is acknowledged. Please refer to the portal as the **Swedish Pathogens Portal** and link to our webpage when you use content from the portal. You may also include our RRID: **SCR_024866** (see above for information on RRIDs). +Journalists are welcome to reuse images, content, or other material from the **Swedish Pathogens Portal** for articles, blogs, social media etc., provided that the portal is acknowledged. Please refer to the portal as the **Swedish Pathogens Portal** and link to our webpage when you use content from the portal. You may also include our RRID: **SCR_024866** (see above for information on RRIDs). diff --git a/content/svenska/citation.md b/content/svenska/citation.md index 806ba0d5..08576549 100644 --- a/content/svenska/citation.md +++ b/content/svenska/citation.md @@ -11,7 +11,7 @@ menu: toc: true --- -I linje med principerna för öppen vetenskap och FAIR är data, information och resurser från Pathogens Portal Sverige fritt tillgängligt för användning och återanvändning. På den här sidan hittar du information om hur du på ett korrekt sätt kan citera när du återanvänder eller refererar till innehåll på portalen. Observera att informationen på portalen uppdateras kontinuerligt, därför är det viktigt att hänvisa till specifik version (eller ange åtkomstdatum) vid citering. +I linje med principerna för öppen vetenskap och FAIR är data, information, och resurser från Pathogens Portal Sverige fritt tillgängligt för användning och återanvändning. På den här sidan hittar du information om hur du på ett korrekt sätt kan citera när du återanvänder eller refererar till innehåll på portalen. Observera att informationen på portalen uppdateras kontinuerligt, därför är det viktigt att hänvisa till specifik version (eller ange åtkomstdatum) vid citering. ## För forskare @@ -21,7 +21,7 @@ I det här avsnittet finner du instruktioner för hur du kan citera portalwebbpl ##### Research Resource Identifier för Pathogens Portal Sverige -The Resource Identification Portal skapades till stöd för Resource Identification Initiative. Det syftar till att främja identifiering, upptäckt och återanvändning av forskningsresurser. Research Resource Identifiers (RRIDs) är persistenta och unika identifierare som används för att referera forskningsresurser. +The Resource Identification Portal skapades till stöd för Resource Identification Initiative. Det syftar till att främja identifiering, upptäckt och återanvändning av forskningsresurser. Research Resource Identifiers (**RRIDs**) är persistenta och unika identifierare som används för att referera forskningsresurser. RRID för Pathogens Portal Sverige är [**SCR_024866**](https://scicrunch.org/resources/data/record/nlx_144509-1/SCR_024866/resolver?q=SCR_024866&l=SCR_024866&i=rrid:scr_024866). @@ -31,17 +31,17 @@ Att lägga till portalens RRID vid citering bidrar till att öka återanvändnin För officiell vägledning se [SciCrunch-sidan om RRID-citat](https://scicrunch.org/resources/about/guidelines). -**Hänvisning i text:**: Swedish Pathogens Portal, SciLifeLab Data Centre, _version number_, RRID: SCR_024866. (Access date: date of access). +**Hänvisning i text:** Swedish Pathogens Portal, SciLifeLab Data Centre, _versionsnummer_, RRID: SCR_024866. (nedladdningsdatum). -**Reference list**: Swedish Pathogens Portal (_access date_), SciLifeLab Data Centre, version (version number) from https://pathogens.se, RRID:SCR_024866. +**Reference list**: Swedish Pathogens Portal (_nedladdningsdatum_), SciLifeLab Data Centre, version (versionsnummer) from https://www.pathogens.se, RRID:SCR_024866. -Du hittar versionsnumret på portalen längst ner I sidfoten på valfri sida, eller på vårt Github repositorie under 'releases'. +Du hittar versionsnumret på portalen längst ner i sidfoten på valfri sida, eller på vårt pathogens-portal repository under 'releases'. -Om du vill citera en särskild sida från portalen som exempelvis "Data Highlights", kan du i vissa fall se att denna sida har en egen författare och publiceringsdatum. I detta fall bör du inkludera datum och författare, men samtidigt lägga till RRID. Det finns också vissa sidor där information om hur man kan citera data tillhandahålls, exempelvis separata doi för vissa dashboards som du bör använda för citering. +Om du vill citera en särskild sida från portalen som exempelvis "Data Highlights", kan du i vissa fall se att denna sida har en egen författare och publiceringsdatum. I detta fall bör du inkludera datum och författare, men samtidigt lägga till RRID. Det finns också vissa sidor där information om hur man kan citera data tillhandahålls, exempelvis separata DOI för vissa dashboards som du bör använda för citering. ### Citera källkod -Portalens källkod har skapats av SciLifeLab Data Centre ch samarbetspartners. Många forskare från forskarsamhället har även bidragit till att utveckla källkoden. Portalens källkod ligger öppet tillgänglig för återanvändning på GitHub. Källkod för webbsidan ligger i pathogens-portal repository, och all källkod för visualiseringar ligger i visualisations repository. All källkod görs tillgänglig för återanvändning under en MIT licens. +Portalens källkod har skapats av SciLifeLab Data Centre och samarbetspartners. Många forskare från forskarsamhället har även bidragit till att utveckla källkoden. Portalens källkod ligger öppet tillgänglig för återanvändning på GitHub. Källkod för webbsidan ligger i pathogens-portal repository, och all källkod för visualiseringar ligger i pathogens-portal-visualisations repository. All källkod görs tillgänglig för återanvändning under en MIT licens. ##### APA format @@ -49,8 +49,8 @@ SciLifeLab Data Centre (år) pathogens-portal. version: (versionsnummer)[Program Zenodo. . SciLifeLab Data Centre (år) pathogens-portal-visualiseringar. version: -(versionsnummer)[Programvara]. Zenodo. _DOI to be confirmed_. +(versionsnummer)[Programvara]. Zenodo. _DOI saknas_. ## Journalister -Journalister är välkomna att återanvänd bilder, innehåll och annat material på **Pathogens Portal Sverige** för exempelvis artiklar, bloggar och sociala media poster under förutsättning att portalen anges som käll. Vänligen ange **Pathogens Portal Sverige** och länka till webbsidan när du använder material från portalen. Om möjligt inkludera även RRID: **SCR_024866** (se information ovan kring RRID nummer). +Journalister är välkomna att återanvänd bilder, innehåll och annat material på **Pathogens Portal Sverige** för exempelvis artiklar, bloggar och sociala media poster under förutsättning att portalen anges som käll. Vänligen ange **Pathogens Portal Sverige** och länka till webbsidan när du använder material från portalen. Om möjligt inkludera även RRID: **SCR_024866** (se information ovan kring RRID nummer). From 04da1c9622232f7cf5fe1b40823f451df0d45079 Mon Sep 17 00:00:00 2001 From: LianeHughes <68756672+LianeHughes@users.noreply.github.com> Date: Thu, 2 May 2024 07:29:23 +0200 Subject: [PATCH 9/9] change news date and BSL3 picture --- content/english/resources/test_bsl3.md | 2 +- content/english/updates/serology_and_PLP.md | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/content/english/resources/test_bsl3.md b/content/english/resources/test_bsl3.md index 1653edae..47276cc8 100644 --- a/content/english/resources/test_bsl3.md +++ b/content/english/resources/test_bsl3.md @@ -1,7 +1,7 @@ --- title: "Testing BSL3 Biomedicum capabilities and more" category: "test" -banner: "/resources_thumbs/bsl3_test.jpg" +banner: "/resources_thumbs/bsl3_lab.png" resource_info: name: "Testing BSL3 Biomedicum capabilities and more" pi: Antonio Rothfuchs diff --git a/content/english/updates/serology_and_PLP.md b/content/english/updates/serology_and_PLP.md index 8b74676c..43d5aef4 100644 --- a/content/english/updates/serology_and_PLP.md +++ b/content/english/updates/serology_and_PLP.md @@ -1,6 +1,6 @@ --- title: "Update on multi-disease serology and Pandemic Laboratory Preparedness at SciLifeLab." -date: 2024-04-25 +date: 2024-05-02 summary: Recent updates to existing sections for pandemic laboratory preparedness, and news of a new dashboard. banner: /dashboard_thumbs/multi-disease-serology.jpg banner_caption: "Representation of multi-disease serology generated using AI."