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Estimating the effects of COVID-19 on essential health services utilization in Uganda and Bangladesh using data from routine health information systems.
Angeles, Gustavo; Silverstein, Hannah; Ahsan, Karar Zunaid; Kibria, Mohammad Golam; Rakib, Nibras Ar; Escudero, Gabriela; Singh, Kavita; Mpiima, Jamiru; Simmons, Elizabeth; Weiss, William.
Afiliação
  • Angeles G; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Silverstein H; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Ahsan KZ; Public Health Leadership Program, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Kibria MG; Carolina Health Informatics Program, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Rakib NA; Carolina Health Informatics Program, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Escudero G; Carolina Population Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Singh K; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Mpiima J; Last Mile Health-Uganda, Kampala, Uganda.
  • Simmons E; Department of Maternal and Child Health, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, United States.
  • Weiss W; Department of International Health, Johns Hopkins University, Baltimore, MD, United States.
Front Public Health ; 11: 1129581, 2023.
Article em En | MEDLINE | ID: mdl-37829090

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Informação em Saúde / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Sistemas de Informação em Saúde / COVID-19 Idioma: En Ano de publicação: 2023 Tipo de documento: Article