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Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

Science Advances(2023)10.1126/sciadv.abq0199Source: DataRank Database

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States is a research paper published in Science Advances (2023). On theSindex it has a DataRank of 0. It has been cited 50 times.

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0DataRank · unranked

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Open Access50 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (7)IDs (PubMed, PMC)Annotations (1)SDGs (1)

FAIR Checklist

Context only (not used in score)

Findable (1/2)

Has DOI

Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (8)

Leonardo Clemente,Canelle Poirier ORCID,Kris V. Parag ORCID,Atreyee Majumder ORCID,Serge Masyn ORCID

Live enrichment

PubMed:36652520 PMC:PMC9848273

Medical Research Council

Grant: MR/W016834/1

Medical Research Council

Grant: MR/R015600/1

NIGMS NIH HHS

Grant: R01 GM130668

National Institutes of Health

Grant: 5R01GM130668-05

Development of an Open-Source and Data-Driven Modeling Platform to Monitor and Forecast Disease Activity

goldLicense: cc-by

publisherhttps://www.science.org/doi/pdf/10.1126/sciadv.abq0199?download=true

publisherhttps://www.science.org/doi/pdf/10.1126/sciadv.abq0199

repositoryhttps://pmc.ncbi.nlm.nih.gov/articles/PMC9848273/pdf/sciadv.abq0199.pdf

Europe_PMChttps://europepmc.org/articles/PMC9848273

Europe_PMChttps://europepmc.org/articles/PMC9848273?pdf=render

Fields of Study

0301 basic medicine0303 health sciences03 medical and health sciences

Keywords

FOS: Biological sciencesQuantitative Biology - Quantitative MethodsQuantitative Methods (q-bio.QM)Social and Interdisciplinary Sciences

Sustainable Development Goals

SDG 3: 3. Good health

Using digital traces to build prospective and real-time county-level early warning systems to anticipate COVID-19 outbreaks in the United States

FAIR Checklist

Authors (8)

Funding (4 grants)

Open Access

Topics

Annotations (Europe PMC)