Measuring a hidden population: A novel technique to estimate the population size of women with sexual violence-related pregnancies in South Kivu Province, Democratic Republic of Congo
- DOI
- 10.1016/j.jegh.2016.08.003How to use a DOI?
- Keywords
- Democratic Republic of Congo; Hidden populations, pregnancy; Respondent-driven sampling; Sexual violence; Successive sampling-population size estimation
- Abstract
Successive sampling (SS)–population size estimation (PSE) is a technique used to estimate the sizes of hidden populations using data collected in respondent-driven sampling (RDS) surveys. We assess past estimations and use new data from an RDS survey to calculate a new PSE. In 2012, 852 adult women in South Kivu Province, Democratic Republic of Congo, who self-identified as survivors of sexual violence, resulting in a pregnancy, since the start of the war (in 1996) were sampled using RDS. We used imputed visibility, enrollment order, and prior estimates for PSE using SS-PSE in RDS Analyst. Prior estimates varied between Congolese local experts and researchers. We calculated the PSE of women with a sexual violence-related pregnancy in South Kivu using researchers’ priors to be approximately 17,400. SS–PSE is an effective method for estimating the population sizes of hidden populations, useful for providing evidence for services and resource allocation. SS–PSE is beneficial because population sizes can be calculated after conducting the survey and do not rely on separate studies or additional data (as in network scale-up, multiplier, and capture-recapture methods).
- Copyright
- © 2016 Ministry of Health, Saudi Arabia. Published by Elsevier Ltd.
- Open Access
- This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
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TY - JOUR AU - Lisa G. Johnston AU - Katherine R. McLaughlin AU - Shada A. Rouhani AU - Susan A. Bartels PY - 2016 DA - 2016/09/20 TI - Measuring a hidden population: A novel technique to estimate the population size of women with sexual violence-related pregnancies in South Kivu Province, Democratic Republic of Congo JO - Journal of Epidemiology and Global Health SP - 45 EP - 53 VL - 7 IS - 1 SN - 2210-6014 UR - https://doi.org/10.1016/j.jegh.2016.08.003 DO - 10.1016/j.jegh.2016.08.003 ID - Johnston2016 ER -