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Roshani Dahal

Dados Biográficos

ID6073377
NOMERoshani Dahal
PRENOMESRoshani
SOBRENOMEDahal
ASSINATURADAHAL R
AFILIAÇÕESJoseph Kofi Acquah is with RTI International, Research Triangle Park, NC. Roshani Dahal is with the School of Public Health, Brown University, Providence, RI. Frank A. Sloan is with the Department of Economics, Duke University, Durham, NC.
ORCID0009-0002-1607-4736
VERIFICADONão
TOTAL DE OBRAS1
TOTAL DE CITAÇÕES2
TOTAL COMO AUTOR1
TOTAL COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2017
ANO MAIS RECENTE DE PUBLICAÇÃO2017
ÍNDICE H1
  • Influenza Pandemic

    Joseph Kofi Acquah, Joseph Acquah et al.•ARTICLE•American Journal of Public Health•2017•Citada por: 2•Referências: 28

    Objectives. To explore associations between in utero exposure to the 1918 influenza pandemic and hospitalization rates in old age (≥ 70 years) in the United States. Methods. We identified individuals exposed (mild and deadly waves) and unexposed in utero to the 1918 influenza pandemic (a natural experiment) by using birth dates from the Asset and Health Dynamics Among the Oldest Old survey. We analyzed differences in hospitalization rates by expo…

  • Influenza Pandemic

    Joseph Kofi Acquah, Joseph Acquah et al.•ARTICLE•American Journal of Public Health•2017•Citada por: 2•Referências: 28

    Objectives. To explore associations between in utero exposure to the 1918 influenza pandemic and hospitalization rates in old age (≥ 70 years) in the United States. Methods. We identified individuals exposed (mild and deadly waves) and unexposed in utero to the 1918 influenza pandemic (a natural experiment) by using birth dates from the Asset and Health Dynamics Among the Oldest Old survey. We analyzed differences in hospitalization rates by expo…

  • Influenza Pandemic

    Joseph Kofi Acquah, Joseph Acquah et al.•ARTICLE•American Journal of Public Health•2017•Citada por: 2•Referências: 28

    Objectives. To explore associations between in utero exposure to the 1918 influenza pandemic and hospitalization rates in old age (≥ 70 years) in the United States. Methods. We identified individuals exposed (mild and deadly waves) and unexposed in utero to the 1918 influenza pandemic (a natural experiment) by using birth dates from the Asset and Health Dynamics Among the Oldest Old survey. We analyzed differences in hospitalization rates by expo…

Birth, Development, and Health (1 obras) · Coronavirus disease 2019 (COVID-19) (1 obras) · COVID-19 Impact on Reproduction (1 obras) · Demography (1 obras) · Disease (1 obras) · Environmental health (1 obras) · Fetus (1 obras) · Gerontology (1 obras) · Gerontology (1 obras) · In utero (1 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae