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Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model

PLoS Computational Biology(2021)10.1371/journal.pcbi.1008837Source: DataRank Database

Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model is a research paper published in PLoS Computational Biology (2021). On theSindex it has a DataRank of 0.624. It has been cited 63 times.

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0.624DataRank · unranked

Scored on demand from live citation data

Open Access63 citations

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

Pipeline:MetadataData-paper checkEnrichmentCitation networkScoring

Enrichment:Funding (4 grants)OA: goldTopics (39)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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DataRank Breakdown

Base Score 100%Citation Network 0%

Base Score Contribution

0.624

From this paper's citation signal

Citation Network Contribution

Citation network not refreshed for this result

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Authors (10)

Di Xiong ORCID,Lu Zhang ORCID,Joseph A. Zoller ORCID,John Shamshoian ORCID,Phillip Sundin ORCID

Live enrichment

PubMed:33780443 PMC:PMC8031749

National Institutes of Health

Grant: AI135995

NIAID NIH HHS

Grant: U19 AI135995

National Institutes of Health

Grant: 3U19AI135995-04S3

Consortium for Viral Systems Biology (CViSB)

Private Health Management

goldLicense: cc-by

publisherhttps://doi.org/10.1371/journal.pcbi.1008837

publisherhttps://dx.plos.org/10.1371/journal.pcbi.1008837

repositoryhttps://escholarship.org/uc/item/0ww525hn

repositoryhttps://doaj.org/article/96e9619c864f45dd94ade0dff778875e

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8031749

Fields of Study

0301 basic medicine03 medical and health sciences0303 health sciences

MeSH Terms

HumansModels, StatisticalBayes TheoremComputational BiologyAlgorithmsForecastingUnited StatesPandemicsMachine LearningCOVID-19SARS-CoV-2

Keywords

330BioinformaticsQH301-705.5Mathematical SciencesMachine LearningModelsInformation and Computing SciencesHumansBiology (General)PandemicsModels, StatisticalSARS-CoV-2StatisticsCOVID-19Computational BiologyBayes TheoremStatisticalBiological SciencesUnited StatesHuman SocietyGood Health and Well BeingGeneric health relevanceAlgorithmsResearch ArticleForecasting

Sustainable Development Goals

SDG 3: 3. Good health

Pandemic velocity: Forecasting COVID-19 in the US with a machine learning & Bayesian time series compartmental model

FAIR Checklist

DataRank Breakdown

Authors (10)

Funding (4 grants)

Open Access

Topics

Annotations (Europe PMC)