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Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm

Evolution Medicine and Public Health(2022)10.1093/emph/eoac002Source: DataRank Database

Optimal non-pharmaceutical intervention policy for Covid-19 epidemic via neuroevolution algorithm is a research paper published in Evolution Medicine and Public Health (2022). On theSindex it has a DataRank of 0.

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datarank_citation_only_1hop_v6· scope data_onlyMethodology

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Enrichment:Funding (2 grants)OA: goldTopics (13)IDs (PubMed)SDGs (1)

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Findable (1/2)

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Accessible (1/2)

Open Access

Interoperable (0/2)

Reusable (0/3)

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Authors (2)

Pejman Rohani ORCID,Arash Saeidpour ORCID

Live enrichment

PubMed:23304386

National Institutes of Health

Grant: R01GM123007

National Institutes of Health

Grant: 5R01GM123007-02

Vaccine hesitancy and erosion of herd immunity: harnessing big data to forecast disease re-emergence

goldLicense: cc-by

publisherhttps://academic.oup.com/emph/article-pdf/10/1/59/42504421/eoac002.pdf

publisherhttps://academic.oup.com/emph/advance-article-pdf/doi/10.1093/emph/eoac002/42321853/eoac002.pdf

repositoryhttps://arxiv.org/pdf/2110.13633

repositoryhttps://www.ncbi.nlm.nih.gov/pmc/articles/8841015

repositoryhttps://doi.org/10.48550/arxiv.2110.13633

Fields of Study

0211 other engineering and technologies02 engineering and technology

Keywords

FOS: Computer and information sciencesComputer Science - Machine LearningG.1.6Populations and Evolution (q-bio.PE)Computer Science - Neural and Evolutionary ComputingMachine Learning (cs.LG)FOS: Biological sciences49N10Original Research ArticleNeural and Evolutionary Computing (cs.NE)Quantitative Biology - Populations and Evolution

Sustainable Development Goals

SDG 3: 3. Good health