Population size estimation of seasonal forest-going populations in southern Lao PDR

Abstract Forest-going populations are key to malaria transmission in the Greater Mekong Sub-region (GMS) and are therefore targeted for elimination efforts. Estimating the size of this population is essential for programs to assess, track and achieve their elimination goals. Leveraging data from thr...

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Main Authors: Francois Rerolle, Jerry O. Jacobson, Paul Wesson, Emily Dantzer, Andrew A. Lover, Bouasy Hongvanthong, Jennifer Smith, John M. Marshall, Hugh J. W. Sturrock, Adam Bennett
Format: Article
Language:English
Published: Nature Publishing Group 2021-07-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-021-94413-z
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spelling doaj-51cda9f05a004fea93fc0759be6526192021-07-25T11:24:58ZengNature Publishing GroupScientific Reports2045-23222021-07-0111111110.1038/s41598-021-94413-zPopulation size estimation of seasonal forest-going populations in southern Lao PDRFrancois Rerolle0Jerry O. Jacobson1Paul Wesson2Emily Dantzer3Andrew A. Lover4Bouasy Hongvanthong5Jennifer Smith6John M. Marshall7Hugh J. W. Sturrock8Adam Bennett9Malaria Elimination Initiative, The Global Health Group, University of CaliforniaMalaria Elimination Initiative, The Global Health Group, University of CaliforniaDepartment of Epidemiology and Biostatistics, University of CaliforniaMalaria Elimination Initiative, The Global Health Group, University of CaliforniaDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts-AmherstCenter for Malariology, Parasitology and Entomology, Ministry of HealthMalaria Elimination Initiative, The Global Health Group, University of CaliforniaDivision of Epidemiology and Biostatistics, School of Public Health, University of CaliforniaMalaria Elimination Initiative, The Global Health Group, University of CaliforniaMalaria Elimination Initiative, The Global Health Group, University of CaliforniaAbstract Forest-going populations are key to malaria transmission in the Greater Mekong Sub-region (GMS) and are therefore targeted for elimination efforts. Estimating the size of this population is essential for programs to assess, track and achieve their elimination goals. Leveraging data from three cross-sectional household surveys and one survey among forest-goers, the size of this high-risk population in a southern province of Lao PDR between December 2017 and November 2018 was estimated by two methods: population-based household surveys and capture–recapture. During the first month of the dry season, the first month of the rainy season, and the last month of the rainy season, respectively, 16.2% [14.7; 17.7], 9.3% [7.2; 11.3], and 5.3% [4.4; 6.1] of the adult population were estimated to have engaged in forest-going activities. The capture–recapture method estimated a total population size of 18,426 [16,529; 20,669] forest-goers, meaning 61.0% [54.2; 67.9] of the adult population had engaged in forest-going activities over the 12-month study period. This study demonstrates two methods for population size estimation to inform malaria research and programming. The seasonality and turnover within this forest-going population provide unique opportunities and challenges for control programs across the GMS as they work towards malaria elimination.https://doi.org/10.1038/s41598-021-94413-z
collection DOAJ
language English
format Article
sources DOAJ
author Francois Rerolle
Jerry O. Jacobson
Paul Wesson
Emily Dantzer
Andrew A. Lover
Bouasy Hongvanthong
Jennifer Smith
John M. Marshall
Hugh J. W. Sturrock
Adam Bennett
spellingShingle Francois Rerolle
Jerry O. Jacobson
Paul Wesson
Emily Dantzer
Andrew A. Lover
Bouasy Hongvanthong
Jennifer Smith
John M. Marshall
Hugh J. W. Sturrock
Adam Bennett
Population size estimation of seasonal forest-going populations in southern Lao PDR
Scientific Reports
author_facet Francois Rerolle
Jerry O. Jacobson
Paul Wesson
Emily Dantzer
Andrew A. Lover
Bouasy Hongvanthong
Jennifer Smith
John M. Marshall
Hugh J. W. Sturrock
Adam Bennett
author_sort Francois Rerolle
title Population size estimation of seasonal forest-going populations in southern Lao PDR
title_short Population size estimation of seasonal forest-going populations in southern Lao PDR
title_full Population size estimation of seasonal forest-going populations in southern Lao PDR
title_fullStr Population size estimation of seasonal forest-going populations in southern Lao PDR
title_full_unstemmed Population size estimation of seasonal forest-going populations in southern Lao PDR
title_sort population size estimation of seasonal forest-going populations in southern lao pdr
publisher Nature Publishing Group
series Scientific Reports
issn 2045-2322
publishDate 2021-07-01
description Abstract Forest-going populations are key to malaria transmission in the Greater Mekong Sub-region (GMS) and are therefore targeted for elimination efforts. Estimating the size of this population is essential for programs to assess, track and achieve their elimination goals. Leveraging data from three cross-sectional household surveys and one survey among forest-goers, the size of this high-risk population in a southern province of Lao PDR between December 2017 and November 2018 was estimated by two methods: population-based household surveys and capture–recapture. During the first month of the dry season, the first month of the rainy season, and the last month of the rainy season, respectively, 16.2% [14.7; 17.7], 9.3% [7.2; 11.3], and 5.3% [4.4; 6.1] of the adult population were estimated to have engaged in forest-going activities. The capture–recapture method estimated a total population size of 18,426 [16,529; 20,669] forest-goers, meaning 61.0% [54.2; 67.9] of the adult population had engaged in forest-going activities over the 12-month study period. This study demonstrates two methods for population size estimation to inform malaria research and programming. The seasonality and turnover within this forest-going population provide unique opportunities and challenges for control programs across the GMS as they work towards malaria elimination.
url https://doi.org/10.1038/s41598-021-94413-z
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