Epidemic SI COVID-19 modeling in LMICs: Accompanying commentary

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dc.contributor.authorPan-ngum W.
dc.contributor.authorClapham H.
dc.contributor.authorDawa J.
dc.contributor.authorPulliam J.R.C.
dc.contributor.otherMahidol University
dc.date.accessioned2023-06-18T17:20:55Z
dc.date.available2023-06-18T17:20:55Z
dc.date.issued2022-12-01
dc.identifier.citationEpidemics Vol.41 (2022)
dc.identifier.doi10.1016/j.epidem.2022.100651
dc.identifier.eissn18780067
dc.identifier.issn17554365
dc.identifier.pmid36400691
dc.identifier.scopus2-s2.0-85141950631
dc.identifier.urihttps://repository.li.mahidol.ac.th/handle/123456789/84842
dc.rights.holderSCOPUS
dc.subjectImmunology and Microbiology
dc.titleEpidemic SI COVID-19 modeling in LMICs: Accompanying commentary
dc.typeEditorial
mu.datasource.scopushttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85141950631&origin=inward
oaire.citation.titleEpidemics
oaire.citation.volume41
oairecerif.author.affiliationFaculty of Tropical Medicine, Mahidol University
oairecerif.author.affiliationUniversity of Nairobi
oairecerif.author.affiliationNational University of Singapore
oairecerif.author.affiliationStellenbosch University
oairecerif.author.affiliationWashington State University Global Health Program

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