Evidence map›Paper›PMID 34285321›Full record

ArticleScientific reports2021

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

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

Erratum issuedAbstract read
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In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Forest-Going as a Risk Factor for Confirmed Malaria in Champasak Province, Lao PDR: A Case-Control Study.International journal of environmental research and public health · 2024
    Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Francois RerolleMalaria Elimination Initiative, The Global Health Group, University of California, San Francisco, CA, USA. francois.rerolle@ucsf.edu.
Jerry O JacobsonMalaria Elimination Initiative, The Global Health Group, University of California, San Francisco, CA, USA.
Paul WessonDepartment of Epidemiology and Biostatistics, University of California, San Francisco, CA, USA.
Emily DantzerMalaria Elimination Initiative, The Global Health Group, University of California, San Francisco, CA, USA.
Andrew A LoverDepartment of Biostatistics and Epidemiology, School of Public Health and Health Sciences, University of Massachusetts-Amherst, Boston, MA, USA.
Bouasy HongvanthongCenter for Malariology, Parasitology and Entomology, Ministry of Health, Vientiane, Lao People's Democratic Republic.
Jennifer SmithMalaria Elimination Initiative, The Global Health Group, University of California, San Francisco, CA, USA.
John M MarshallDivision of Epidemiology and Biostatistics, School of Public Health, University of California, Berkeley, CA, USA.
Hugh J W SturrockMalaria Elimination Initiative, The Global Health Group, University of California, San Francisco, CA, USA.
Adam BennettMalaria Elimination Initiative, The Global Health Group, University of California, San Francisco, CA, USA.

Funding

The science for the last mile: Enhanced epidemiologic surveillance to accelerate HIV eliminationK01AI145572 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI WESSON, PAUL DOUGLAS · 2020 to 2024
$679k
6 · The paper itself

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.

Identifiers

PMID34285321
PMCPMC8292394

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