{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,4,19]],"date-time":"2025-04-19T20:43:22Z","timestamp":1745095402150},"reference-count":6,"publisher":"Oxford University Press (OUP)","issue":"14","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,8,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Motivation<\/jats:title>\n                  <jats:p>Mortality Tracker is an in-browser application for data wrangling, analysis, dissemination and visualization of public time series of mortality in the United States. It was developed in response to requests by epidemiologists for portable real time assessment of the effect of COVID-19 on other causes of death and all-cause mortality. This is performed by comparing 2020 real time values with observations from the same week in the previous 5\u2009years, and by enabling the extraction of temporal snapshots of mortality series that facilitate modeling the interdependence between its causes.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Our solution employs a scalable \u2018Data Commons at Web Scale\u2019 approach that abstracts all stages of the data cycle as in-browser components. Specifically, the data wrangling computation, not just the orchestration of data retrieval, takes place in the browser, without any requirement to download or install software. This approach, where operations that would normally be computed server-side are mapped to in-browser SDKs, is sometimes loosely described as Web APIs, a designation adopted here.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Availabilityand implementation<\/jats:title>\n                  <jats:p>https:\/\/episphere.github.io\/mortalitytracker; webcast demo: youtu.be\/ZsvCe7cZzLo.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Supplementary information<\/jats:title>\n                  <jats:p>Supplementary data are available at Bioinformatics online.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/bioinformatics\/btaa933","type":"journal-article","created":{"date-parts":[[2020,10,23]],"date-time":"2020-10-23T03:27:08Z","timestamp":1603423628000},"page":"2073-2074","source":"Crossref","is-referenced-by-count":5,"title":["Mortality Tracker: the COVID-19 case for real time web APIs as epidemiology commons"],"prefix":"10.1093","volume":"37","author":[{"given":"Jonas S","family":"Almeida","sequence":"first","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]},{"given":"Meredith","family":"Shiels","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]},{"given":"Praphulla","family":"Bhawsar","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]},{"given":"Bhaumik","family":"Patel","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]},{"given":"Erika","family":"Nemeth","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Stony Brook University (SUNY) , Stony Brook, NY, USA"}]},{"given":"Richard","family":"Moffitt","sequence":"additional","affiliation":[{"name":"Department of Biomedical Informatics, Stony Brook University (SUNY) , Stony Brook, NY, USA"}]},{"given":"Montserrat Garcia","family":"Closas","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]},{"given":"Neal","family":"Freedman","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]},{"given":"Amy","family":"Berrington","sequence":"additional","affiliation":[{"name":"Division of Cancer Epidemiology and Genetics, National Cancer Institute , Rockville, MD, USA"}]}],"member":"286","published-online":{"date-parts":[[2020,11,2]]},"reference":[{"key":"2023061310291838600_btaa933-B1","doi-asserted-by":"crossref","first-page":"e6230","DOI":"10.7717\/peerj.6230","article-title":"Serverless OpenHealth at data commons scale-traversing the 20 million patient records of New York\u2019s SPARCS dataset in real time","volume":"7","author":"Almeida","year":"2019","journal-title":"PeerJ"},{"key":"2023061310291838600_btaa933-B2","doi-asserted-by":"crossref","first-page":"e1004668","DOI":"10.1371\/journal.pcbi.1004668","article-title":"A quick introduction to version control with Git and GitHub","volume":"12","author":"Blischak","year":"2016","journal-title":"PLoS Comput. 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