Measuring non-events: infertility estimation using cross-sectional, population-based data from four countries in sub-Saharan Africa

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Publication Details

Journal
Human Reproduction
Published
2024-09-30
DOI
https://doi.org/10.1093/humrep/deae218
Citations
6
Primary Topic
Reproductive Health and Technologies
Type
article
Field-Weighted Citation Impact
3.22

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article

Measuring non-events: infertility estimation using cross-sectional, population-based data from four countries in sub-Saharan Africa

Caroline Moreau, Dana Sarnak, Simon P. S. Kibira, Philip Anglewicz et al.
6 citations
Human Reproduction
Reproductive Health and Technologies
3.22
article

Measuring non-events: infertility estimation using cross-sectional, population-based data from four countries in sub-Saharan Africa

Caroline Moreau, Dana Sarnak, Simon P. S. Kibira, Philip Anglewicz, Alexander C. McLain, Peter Gichangi, Marie E. Thoma, Suzanne O. Bell
article en
6 citations

Abstract

No abstract available for this paper.
Human ReproductionVol. 39(12)
Johns Hopkins University (US), Inserm (FR), University of South Carolina (US), Technical University of Mombasa (KE), Ghent University (BE), Centre de recherche en Epidémiologie et Santé des Populations (FR), University of Maryland, College Park (US), Makerere University (UG)
Bill and Melinda Gates Foundation, National Institute of Child Health and Human Development
Good health and well-being
Openalex Percentile: Top 8%
Reproductive Health and Technologies
3.22
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