Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence.

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Bibliographic Details
Title: Using family planning service statistics to inform model-based estimates of modern contraceptive prevalence.
Authors: 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.
Source: PloS one [PLoS One] 2021 Oct 29; Vol. 16 (10), pp. e0258304. Date of Electronic Publication: 2021 Oct 29 (Print Publication: 2021).
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE
Database: MEDLINE Ultimate
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