Evidence map›Paper›PMID 23271973›Full record

ArticlePLoS genetics2012

The effective population size of malaria mosquitoes: large impact of vector control.

Giridhar Athrey, Theresa K Hodges, Michael R Reddy, Hans J Overgaard, Abrahan Matias, Frances C Ridl, Immo Kleinschmidt, Adalgisa Caccone, Michel A Slotman

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.1field-weighted citation impact, top 9% of its field
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

29 citing papers in PubMed, 50 citations in OpenAlex.

  1. Article
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  5. Article
  6. Article
  7. Effective population size ofFrontiers in genetics · 2023
    Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. Article
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  19. Tracing the origin of the early wet-seasonEvolutionary applications · 2017
    Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 6 institutions in 4 countries.

Giridhar AthreyDepartment of Entomology, Texas A&M University, College Station, Texas, United States of America. gathrey@gmail.com
Theresa K Hodges
Michael R Reddy
Hans J Overgaard
Abrahan Matias
Frances C Ridl
Immo Kleinschmidt
Adalgisa Caccone
Michel A Slotman
Texas A&M University · USYale University · USLondon School of Hygiene & Tropical Medicine · GBMedical Care Development International · USNorwegian University of Life Sciences · NOSouth African Medical Research Council · ZA

Funding

The Genetic Basis of Anthropophily in Anopheles gambiaeR01AI085079 · NIAID · TEXAS A&M AGRILIFE RESEARCH · PI SLOTMAN, MICHEL A · 2010 to 2013
$1.0M
NIAID NIH HHS 1R01AI085079-01NIAID NIH HHS R01 AI085079
6 · The paper itself

Abstract

Malaria vectors in sub-Saharan Africa have proven themselves very difficult adversaries in the global struggle against malaria. Decades of anti-vector interventions have yielded mixed results--with successful reductions in transmission in some areas and limited impacts in others. These varying successes can be ascribed to a lack of universally effective vector control tools, as well as the development of insecticide resistance in mosquito populations. Understanding the impact of vector control on mosquito populations is crucial for planning new interventions and evaluating existing ones. However, estimates of population size changes in response to control efforts are often inaccurate because of limitations and biases in collection methods. Attempts to evaluate the impact of vector control on mosquito effective population size (N(e)) have produced inconclusive results thus far. Therefore, we obtained data for 13-15 microsatellite markers for more than 1,500 mosquitoes representing multiple time points for seven populations of three important vector species--Anopheles gambiae, An. melas, and An. moucheti--in Equatorial Guinea. These populations were exposed to indoor residual spraying or long-lasting insecticidal nets in recent years. For comparison, we also analyzed data from two populations that have no history of organized vector control. We used Approximate Bayesian Computation to reconstruct their demographic history, allowing us to evaluate the impact of these interventions on the effective population size. In six of the seven study populations, vector control had a dramatic impact on the effective population size, reducing N(e) between 55%-87%, the exception being a single An. melas population. In contrast, the two negative control populations did not experience a reduction in effective population size. This study is the first to conclusively link anti-vector intervention programs in Africa to sharply reduced effective population sizes of malaria vectors.

Indexed as

MalariaMosquito ControlPopulation DensityAfrica South of the SaharaAnimalsAnophelesEquatorial GuineaHumansInsecticide ResistanceInsecticidesInsect VectorsPest ControlPyrethrinsInsecticidesPyrethrins

Identifiers

PMID23271973
PMCPMC3521722
OpenAlexW2106763976

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.