Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030
Abstract Estimates of married women of reproductive age (MWRA) are needed for policy decisions to enhance reproductive health. Given the unavailability in Cameroon, this study aimed to derive MWRA counts by regions and divisions from 2000 to 2030. Data included 1976, 1987, and 2005 censuses with 606...
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| Format: | Article |
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Nature Portfolio
2022-10-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-23089-w |
| _version_ | 1811257087478464512 |
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| author | Raïssa Shiyghan Nsashiyi Md Mizanur Rahman Lawrence Monah Ndam Masahiro Hashizume |
| author_facet | Raïssa Shiyghan Nsashiyi Md Mizanur Rahman Lawrence Monah Ndam Masahiro Hashizume |
| author_sort | Raïssa Shiyghan Nsashiyi |
| collection | DOAJ |
| description | Abstract Estimates of married women of reproductive age (MWRA) are needed for policy decisions to enhance reproductive health. Given the unavailability in Cameroon, this study aimed to derive MWRA counts by regions and divisions from 2000 to 2030. Data included 1976, 1987, and 2005 censuses with 606,542 women, five Demographic and Health Surveys from 1991 to 2018 with 48,981 women, and United Nations World Population Prospects from 1976 to 2030. Bayesian models were used in estimating fertility rates, net-migration, and finally, MWRA counts. The total MWRA population in Cameroon was estimated to increase from 2,260,665 (2,198,569–2,352,934) to 6,124,480 (5,862,854–6,482,921), reflecting a 5.7 (5.2–6.2) percentage points (%p) annual rise from 2000–2030. The Centre and Far North regions host the largest numbers, projected to reach 1,264,514 (1,099,373–1,470,021) and 1,069,814 (985,315–1,185,523), respectively, in 2030. The highest divisional-level increases are expected in Mfoundi [14.6%p (11.2–18.8)] and Bénoué [14.9%p (11.1–20.09). This study’s findings, showing varied regional- and divisional-level estimates of and trends in MWRA counts should set a baseline for determining the demand for programmes such as family planning, and the scaling of relevant resources sub-nationally. |
| first_indexed | 2024-04-12T17:51:13Z |
| format | Article |
| id | doaj.art-b5684fcee3f9439a8aeb443d8aa014e0 |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-12T17:51:13Z |
| publishDate | 2022-10-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-b5684fcee3f9439a8aeb443d8aa014e02022-12-22T03:22:30ZengNature PortfolioScientific Reports2045-23222022-10-011211910.1038/s41598-022-23089-wExploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030Raïssa Shiyghan Nsashiyi0Md Mizanur Rahman1Lawrence Monah Ndam2Masahiro Hashizume3Department of Global Health Policy, Graduate School of Medicine, The University of TokyoHitotsubashi Institute for Advanced Study, University of HitotsubashiDepartment of Agronomic and Applied Molecular Sciences, Faculty of Agriculture and Veterinary Medicine, University of BueaDepartment of Global Health Policy, Graduate School of Medicine, The University of TokyoAbstract Estimates of married women of reproductive age (MWRA) are needed for policy decisions to enhance reproductive health. Given the unavailability in Cameroon, this study aimed to derive MWRA counts by regions and divisions from 2000 to 2030. Data included 1976, 1987, and 2005 censuses with 606,542 women, five Demographic and Health Surveys from 1991 to 2018 with 48,981 women, and United Nations World Population Prospects from 1976 to 2030. Bayesian models were used in estimating fertility rates, net-migration, and finally, MWRA counts. The total MWRA population in Cameroon was estimated to increase from 2,260,665 (2,198,569–2,352,934) to 6,124,480 (5,862,854–6,482,921), reflecting a 5.7 (5.2–6.2) percentage points (%p) annual rise from 2000–2030. The Centre and Far North regions host the largest numbers, projected to reach 1,264,514 (1,099,373–1,470,021) and 1,069,814 (985,315–1,185,523), respectively, in 2030. The highest divisional-level increases are expected in Mfoundi [14.6%p (11.2–18.8)] and Bénoué [14.9%p (11.1–20.09). This study’s findings, showing varied regional- and divisional-level estimates of and trends in MWRA counts should set a baseline for determining the demand for programmes such as family planning, and the scaling of relevant resources sub-nationally.https://doi.org/10.1038/s41598-022-23089-w |
| spellingShingle | Raïssa Shiyghan Nsashiyi Md Mizanur Rahman Lawrence Monah Ndam Masahiro Hashizume Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030 Scientific Reports |
| title | Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030 |
| title_full | Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030 |
| title_fullStr | Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030 |
| title_full_unstemmed | Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030 |
| title_short | Exploiting the Bayesian approach to derive counts of married women of reproductive age across Cameroon for healthcare planning, 2000–2030 |
| title_sort | exploiting the bayesian approach to derive counts of married women of reproductive age across cameroon for healthcare planning 2000 2030 |
| url | https://doi.org/10.1038/s41598-022-23089-w |
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