{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T04:25:34Z","timestamp":1772166334461,"version":"3.50.1"},"reference-count":24,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T00:00:00Z","timestamp":1611100800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T00:00:00Z","timestamp":1611100800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BioData Mining"],"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Background<\/jats:title>\n                    <jats:p>The COVID-19 pandemic has caused major health and socio-economic disruptions worldwide. Accurate investigation of emerging data is crucial to inform policy makers as they construct viral mitigation strategies. Complications such as variable testing rates and time lags in counting cases, hospitalizations and deaths make it challenging to accurately track and identify true infectious surges from available data, and requires a multi-modal approach that simultaneously considers testing, incidence, hospitalizations, and deaths. Although many websites and applications report a subset of these data, none of them provide graphical displays capable of comparing different states or countries on all these measures as well as various useful quantities derived from them. Here we introduce a freely available dynamic representation tool, COVID-TRACK, that allows the user to simultaneously assess time trends in these measures and compare various states or countries, equipping them with a tool to investigate the potential effects of the different mitigation strategies and timelines used by various jurisdictions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Findings<\/jats:title>\n                    <jats:p>COVID-TRACK is a Python based web-application that provides a platform for tracking testing, incidence, hospitalizations, and deaths related to COVID-19 along with various derived quantities. Our application makes the comparison across states\u00a0in the USA and\u00a0countries in the world easy to explore, with useful transformation options including per capita, log scale, and\/or moving averages. We illustrate its use by assessing various viral trends in the USA and Europe.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The COVID-TRACK web-application is a user-friendly analytical tool to compare data and trends related to the COVID-19 pandemic across areas in the United States and worldwide. Our tracking tool provides a unique platform where trends can be monitored across geographical areas in the coming months to watch how the pandemic waxes and wanes over time at different locations around the USA and the\u00a0globe.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1186\/s13040-021-00233-2","type":"journal-article","created":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T07:03:20Z","timestamp":1611126200000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":12,"title":["COVID-TRACK: world and USA SARS-COV-2 testing and COVID-19 tracking"],"prefix":"10.1186","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1362-3445","authenticated-orcid":false,"given":"Ye Emma","family":"Zohner","sequence":"first","affiliation":[]},{"given":"Jeffrey S.","family":"Morris","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2021,1,20]]},"reference":[{"key":"233_CR1","doi-asserted-by":"publisher","unstructured":"Chauhan S. Comprehensive review of coronavirus disease 2019 (COVID-19). Biomed J. 2020. https:\/\/doi.org\/10.1016\/j.bj.2020.05.023.","DOI":"10.1016\/j.bj.2020.05.023"},{"key":"233_CR2","unstructured":"Coronavirus. World Health Organization. 2020. http:\/\/www.who.int\/emergencies\/diseases\/novel-coronavirus-2019. Accessed 29 June 2020."},{"key":"233_CR3","doi-asserted-by":"crossref","unstructured":"Jordan RE, Adab P, Cheng KK. Covid-19: risk factors for severe disease and death. BMJ. 2020:m1198.","DOI":"10.1136\/bmj.m1198"},{"key":"233_CR4","unstructured":"Coronavirus Disease 2019 (COVID-19). Centers for Disease Control and Prevention. 2020. http:\/\/www.cdc.gov\/coronavirus\/2019-ncov\/index.html. Accessed 29 June 2020."},{"issue":"9","key":"233_CR5","doi-asserted-by":"publisher","first-page":"577","DOI":"10.7326\/M20-0504","volume":"172","author":"SA Lauer","year":"2020","unstructured":"Lauer SA, Grantz KH, Bi Q, Jones FK, Zheng Q, Meredith HR, et al. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Ann Intern Med. 2020;172(9):577\u201382.","journal-title":"Ann Intern Med"},{"key":"233_CR6","unstructured":"COVID-19 Vaccine Tracker. Regulatory Affairs Professionals Society (RAPS). 2020. www.raps.org\/news-and-articles\/news-articles\/2020\/3\/covid-19-vaccine-tracker. Accessed 29 June 2020."},{"key":"233_CR7","unstructured":"Haelle, T. Use These COVID-19 Clinical Trial Trackers to Keep up with Research. Assoc Health Care J 2020. https:\/\/healthjournalism.org\/blog\/2020\/04\/use-these-covid-19-clinical-trial-trackers-to-keep-up-with-research. Accessed 29 June 2020."},{"key":"233_CR8","unstructured":"Carey B, Glanz J. Travel From New York City Seeded Wave of U.S. Outbreaks. New York City: The New York Times; 2020.\u00a0http:\/\/www.nytimes.com\/2020\/05\/07\/us\/new-york-city-coronavirus-outbreak.html. Accessed 29 June 2020."},{"key":"233_CR9","unstructured":"Connolly K, Beaumont P. Covid-19 track and trace: what can UK learn from countries that got it right? The Guardian. 2020. http:\/\/www.theguardian.com\/world\/2020\/may\/21\/covid-19-track-and-trace-what-can-uk-learn-from-countries-got-it-right. Accessed 29 June 2020."},{"key":"233_CR10","doi-asserted-by":"publisher","unstructured":"Borjas G. Demographic Determinants of Testing Incidence and COVID-19 Infections in New York City Neighborhoods. Nat Bureau Econ Res. 2020. https:\/\/doi.org\/10.3386\/w26952.","DOI":"10.3386\/w26952"},{"key":"233_CR11","unstructured":"The Covid-19 Tracker. STAT. 2020. www.statnews.com\/feature\/coronavirus\/covid-19-tracker. Accessed 29 June 2020."},{"key":"233_CR12","unstructured":"COVID-19 Map. Johns Hopkins Coronavirus Resource Center. 2020. https:\/\/coronavirus.jhu.edu\/map.html. Accessed 29 June 2020."},{"key":"233_CR13","unstructured":"CDC COVID Data Tracker. Centers for Disease Control and Prevention. 2020. http:\/\/www.cdc.gov\/covid-data-tracker\/. Accessed 29 June 2020."},{"key":"233_CR14","unstructured":"Coronavirus Cases. Worldometer. 2020. http:\/\/www.worldometers.info\/coronavirus\/. Accessed 29 June 2020."},{"key":"233_CR15","unstructured":"Tracking Covid-19 Cases in the US. CNN, Cable News Network. 2020. www.cnn.com\/interactive\/2020\/health\/coronavirus-us-maps-and-cases. Accessed 29 June 2020."},{"key":"233_CR16","unstructured":"Coronavirus Map: Tracking the Global Outbreak. New York City: The New York Times; 2020.\u00a0www.nytimes.com\/interactive\/2020\/world\/coronavirus-maps.html. Accessed 29 June 2020."},{"key":"233_CR17","unstructured":"Bing. Microsoft. 2020 www.bing.com\/covid. Accessed 29 June 2020."},{"key":"233_CR18","unstructured":"United States COVID-19 Corona Tracker. Corona Tracker. 2020. www.coronatracker.com\/country\/us. Accessed 29 June 2020."},{"key":"233_CR19","unstructured":"Outbreak.info. 2020. https:\/\/outbreak.info\/epidemiology. Accessed 20 October 2020."},{"key":"233_CR20","unstructured":"Ahlander J. Swedish antibody study shows long road to immunity as COVID-19 toll mounts. Reuters. 2020. http:\/\/www.reuters.com\/article\/us-health-coronavirus-sweden-strategy\/swedish-antibody-study-shows-long-road-to-immunity-as-covid-19-toll-mounts-idUSKBN22W2YC. Accessed 29 June 2020."},{"key":"233_CR21","unstructured":"Jasmine C, Lee SM. See How All 50 States Are Reopening (and Closing Again). New York City: The New York Times; 2020.\u00a0http:\/\/www.nytimes.com\/interactive\/2020\/us\/states-reopen-map-coronavirus.html. Accessed 29 June 2020."},{"key":"233_CR22","unstructured":"Morris JS. Covid-19 Data Science. Covid Data Science. 2020. Available from: http:\/\/www.covid-datascience.com\/. Accessed 29 June 2020."},{"key":"233_CR23","unstructured":"TMC Daily New Covid-19 Hospitalizations. Texas Medical Center. 2020. https:\/\/www.tmc.edu\/coronavirus-updates\/tmc-daily-new-covid-19-hospitalizations\/. Accessed 29 June 2020."},{"key":"233_CR24","unstructured":"COVID-19 Daily Report. Maricopa County Department of Public Health. 2020. https:\/\/www.maricopa.gov\/DocumentCenter\/View\/59661\/COVID-19-Daily-Data-Report?refer=home-button. Accessed 29 June 2020."}],"container-title":["BioData Mining"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-021-00233-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1186\/s13040-021-00233-2\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1186\/s13040-021-00233-2.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,1,20]],"date-time":"2021-01-20T07:15:35Z","timestamp":1611126935000},"score":1,"resource":{"primary":{"URL":"https:\/\/biodatamining.biomedcentral.com\/articles\/10.1186\/s13040-021-00233-2"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,1,20]]},"references-count":24,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2021,12]]}},"alternative-id":["233"],"URL":"https:\/\/doi.org\/10.1186\/s13040-021-00233-2","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-41444\/v1","asserted-by":"object"},{"id-type":"doi","id":"10.21203\/rs.3.rs-41444\/v2","asserted-by":"object"}]},"ISSN":["1756-0381"],"issn-type":[{"value":"1756-0381","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,1,20]]},"assertion":[{"value":"16 July 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 January 2021","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"20 January 2021","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"Not applicable.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethics approval and consent to participate"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent for publication"}},{"value":"The authors declare that the have no competing interests.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interests"}}],"article-number":"4"}}