key: cord-0729878-ll0tcmm7
authors: Arora, Rahul K; Joseph, Abel; Van Wyk, Jordan; Rocco, Simona; Atmaja, Austin; May, Ewan; Yan, Tingting; Bobrovitz, Niklas; Chevrier, Jonathan; Cheng, Matthew P; Williamson, Tyler; Buckeridge, David L
title: SeroTracker: a global SARS-CoV-2 seroprevalence dashboard
date: 2020-08-04
journal: Lancet Infect Dis
DOI: 10.1016/s1473-3099(20)30631-9
sha: a51bf71285a2494222d88bbd4d27656506781407
doc_id: 729878
cord_uid: ll0tcmm7

nan

As the initial phase of the COVID-19 pandemic passes its peak in many countries, serological studies are becoming increasingly important in guiding public health responses. Antibody testing is crucial for monitoring the evolution of the pandemic, providing a more complete picture of the total number of people infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) than molecular diagnostic testing alone. 1 All individuals with SARS-CoV-2-specific antibodies have been exposed to the virus, so antibody testing can highlight differences in past exposure between regions, demographic groups, and occupations. 2 Seroprevalence estimates can also be used to estimate the infection fatality rate. 3 Dashboards that visualise COVID-19 cases confirmed by diagnostic testing have been pivotal in enabling policy makers and researchers to monitor the pandemic. 4 Yet, despite the value of antibody testing, there is no unified resource for seroprevalence estimates.

To address this need, we created SeroTracker, a custom-built dashboard that systematically monitors and synthesises findings from hundreds of global SARS-CoV-2 serological studies. The dashboard allows users to visualise seroprevalence estimates on a world map and compare estimates between regions, population groups, and testing modalities (eg, assay type or antibody isotype).

SeroTracker integrates evidence from serosurveillance studies through a live systematic review. 5 Each day, published articles (MEDLINE, Embase, Web of Science, and Cochrane), preprints (medRxiv and bioRxiv), government reports, and news articles are reviewed for newly reported SARS-CoV-2 seroprevalence estimates by a team of doctoral and medical students. Over 13 000 records have been screened to date. Seroprevalence estimates are extracted from each article, in addition to the sample size, sampling approach, study population, and antibody test used. Risk of bias for each prevalence estimate is assessed using the Joanna Briggs Institute Critical Appraisal Guidelines for Prevalence studies. 6 As of July 23, 2020, 162 studies are being monitored, with data available through the SeroTracker website and dashboard code accessible through GitHub.

SeroTracker presents data on an Explore map tab and an Analyze chart tab. The Explore tab features a world map where countries are coloured by seroprevalence. Hovering over each country displays the aggregated seroprevalence estimate along with a 95% CI, the total number of seroprevalence estimates available for that country, and the number of antibody tests administered. This birds-eye view shows that most reported seroprevalence estimates are in the USA and Europe (appendix).

The Analyze tab offers a more granular view, providing seroprevalence estimates stratified by geography, age, or population group, among other variables. This tab also features a references table that summarises the sources from which these estimates were extracted. Across both tabs, users can also filter data by geography, study characteristics (source type, study status, overall risk of bias), population demographics (age, sex, general population, health-care workers), and test information (test type, reported isotypes). Filtering for national or regional seroprevalence estimates in the general population yields studies in 12 countries. Comparing these estimates to diagnostic testing data suggests that SARS-CoV-2 has infected many more individuals than case counts indicate (appendix).

SeroTracker has proven useful to researchers, policy makers, and public health officials. For example, one group is using our data to estimate COVID-19 infection fatality rates globally. Recognising the limitations of serological tests and serosurvey study designs, our dashboard shows by default only studies at low and moderate risk of bias, and we plan to adjust seroprevalence estimates on the basis of test sensitivity and specificity. Further features will allow visualisation of how seroprevalence is changing over time, overlay diagnostic testing data alongside seroprevalence estimates, and show seroprevalence estimates in specific states and provinces. We will continue to host SeroTracker throughout the COVID-19 outbreak to support evidence-based decision making.

All authors report grants from the Public Health Agency of Canada for SeroTracker. MPC also reports grants from the McGill Interdisciplinary Initiative in Infection and Immunity and the Canadian Institutes of Health Research and personal fees from GEn1E Lifesciences, outside the submitted work. We thank our talented research team, without whom SeroTracker would not be possible. We are also grateful for the partnership of Canada's COVID-19 Immunity Task Force (of which DLB, MPC, and JC are members) and the Centre for Health Informatics at the University of Calgary (of which TW is associate director).

The development of a critical appraisal tool for use in systematic reviews addressing questions of prevalence

Lessons from a rapid systematic review of early SARS-CoV-2 serosurveys

Estimation of SARS-CoV-2 infection fatality rate by real-time antibody screening of blood donors

An interactive web-based dashboard to track COVID-19 in real time