Côte d’Ivoire Round 2 Female Follow-up (Abortion)
Survey Title:
Côte d’Ivoire Round 2 Female Follow-up (Abortion)
Dataset Persistent ID:
10.34976/xqy6-nf94
Country:
Cote D'Ivoire
Description:
For Côte d’Ivoire Round 2 Female Follow-up (CIR2-FU) survey, data collectors followed up with 420 women who reported an abortion (ending a pregnancy or doing something to bring back a period when they were worried they were pregnant) in the CIR2 female survey and consented to be recontacted. A total of 347 women completed the follow-up interview. Data collection was conducted between October and November of 2020.
Field work:
October 2020 - November 2020
Suggested Citation:
L'ecole Nationale Supérieure de Statistique et d'Economie Appliquée (ENSEA); and the Bill & Melinda Gates Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health. Performance Monitoring and Accountability 2020 (PMA2020) Côte d’Ivoire Abortion Follow-up Round 2: Female Survey (Version 1.0), PMA2020/CI-R2FU-FQ-Abt. 2020. Abidjan, Cote d'Ivoire and Baltimore, Maryland, USA. https://doi.org/10.34976/xqy6-nf94
Organizations:
L'ecole Nationale Supérieure de Statistique et d'Economie Appliquée (ENSEA); and the Bill & Melinda Gates Institute for Population and Reproductive Health at the Johns Hopkins Bloomberg School of Public Health.
Keywords:
Family Planning
Reproductive Health
Contraception
Abortion
Survey Research
Côte d'Ivoire
Funding:
The PMA2020 project is funded by the Bill & Melinda Gates Foundation. The CIR2 FQ Follow-up (Abortion) Survey was funded by an anonymous donor.
Dataset Request:
To request access to the dataset, please email Dr. Phil Anglewicz panglew1@jhu.edu with the following information:
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PMA Data Use Policy:
The dataset must not be shared or redistributed to other users or researchers. The data must not be used for marketing or commercial purposes. The data will be treated as confidential, and no effort will be made to identify any individual, household, or enumeration area in the survey. No results will be published that could identify specific communities or individuals. The dataset must be cited properly in all publications and outputs.