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Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence.
Cahill, Niamh; Sonneveldt, Emily; Emmart, Priya; Williamson, Jessica; Mbu, Robinson; Fodjo Yetgang, Airy Barrière; Dambula, Isaac; Azambuja, Gizela; Mahumane Govo, Alda Antonio; Joshi, Binod; Felix, Sayinzoga; Makashaka, Clarisse; Ndaruhutse, Victor; Serucaca, Joel; Madzima, Bernard; Muzavazi, Brighton; Alkema, Leontine.
Afiliação
  • Cahill N; Department of Mathematics and Statistics, Maynooth University, Maynooth, Kildare, Ireland.
  • Sonneveldt E; Avenir Health, Glastonbury, CN, United States of America.
  • Emmart P; Avenir Health, Glastonbury, CN, United States of America.
  • Williamson J; Avenir Health, Glastonbury, CN, United States of America.
  • Mbu R; Department of Family Health, Ministry of Public Health, Yaoundé, Cameroon.
  • Fodjo Yetgang AB; Department of Family Health, Ministry of Public Health, Yaoundé, Cameroon.
  • Dambula I; Central Monitoring and Evaluation Division, Ministry of Health, Lilongwe, Malawi.
  • Azambuja G; Child Health Department, Ministry of Health, Maputo, Mozambique.
  • Mahumane Govo AA; Women's Health Division, National Directorate of Public Health, Mozambique.
  • Joshi B; Department of Health Services, Ministry of Health and Population, Kathmandu, Nepal.
  • Felix S; Maternal, Child and Community Health Division, Rwanda Biomedical Centre, Kigali, Rwanda.
  • Makashaka C; Maternal, Child and Community Health Division, Rwanda Biomedical Centre, Kigali, Rwanda.
  • Ndaruhutse V; Maternal, Child and Community Health Division, Rwanda Biomedical Centre, Kigali, Rwanda.
  • Serucaca J; Maternal, Child and Community Health Division, Rwanda Biomedical Centre, Kigali, Rwanda.
  • Madzima B; National AIDS Council, Harare, Zimbabwe.
  • Muzavazi B; Ministry of Health and Child Care, Harare, Zimbabwe.
  • Alkema L; School of Public Health and Health Sciences, University of Massachusetts Amherst, Amherst, MA, United States of America.
PLoS One ; 16(10): e0258304, 2021.
Article em En | MEDLINE | ID: mdl-34714856
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Anticoncepcionais / Serviços de Planejamento Familiar Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irlanda
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Modelos Estatísticos / Anticoncepcionais / Serviços de Planejamento Familiar Tipo de estudo: Prevalence_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Irlanda