Evidence map›Paper›PMID 42851556›Full record

ArticleEvolutionary applications2026

Estimation of Adult Census Size From Close-Kin Dyads in the Malaria Mosquito

Anita Lerch, Scott T Small, Tin-Yu J Hui, Priscila Bascuñán, Ellen M Dotson, Martin Lukindu, Krystal Birungi, Jonathan K Kayondo, Austin Burt, T Alex Perkins and 1 more

Abstract read
In one paragraph

Article in Evolutionary applications, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Anita LerchDepartment of Biological Sciences and Eck Institute for Global Health University of Notre Dame Notre Dame Indiana USA.ORCID https://orcid.org/0000-0003-3062-5901
Scott T SmallDepartment of Biological Sciences and Eck Institute for Global Health University of Notre Dame Notre Dame Indiana USA.
Tin-Yu J HuiDepartment of Life Sciences, Faculty of Natural Sciences Imperial College London, Silwood Park Ascot UK.ORCID https://orcid.org/0000-0002-1702-803X
Priscila BascuñánCDC Foundation assigned to Centers for Disease Control and Prevention (CDC), Division of Parasitic Diseases and Malaria, Entomology Branch Atlanta Georgia USA.ORCID https://orcid.org/0000-0003-3132-9776
Ellen M DotsonCenters for Disease Control and Prevention (CDC), Division of Parasitic Diseases and Malaria Entomology Branch Atlanta Georgia USA.ORCID https://orcid.org/0000-0001-9236-9566
Martin LukinduEntomology Division Uganda Virus Research Institute (UVRI) Entebbe Uganda.ORCID https://orcid.org/0000-0002-1447-3525
Krystal BirungiEntomology Division Uganda Virus Research Institute (UVRI) Entebbe Uganda.
Jonathan K KayondoEntomology Division Uganda Virus Research Institute (UVRI) Entebbe Uganda.
Austin BurtDepartment of Life Sciences, Faculty of Natural Sciences Imperial College London, Silwood Park Ascot UK.ORCID https://orcid.org/0000-0001-5146-9640
T Alex PerkinsDepartment of Biological Sciences and Eck Institute for Global Health University of Notre Dame Notre Dame Indiana USA.ORCID https://orcid.org/0000-0002-7518-4014
Nora J BesanskyDepartment of Biological Sciences and Eck Institute for Global Health University of Notre Dame Notre Dame Indiana USA.ORCID https://orcid.org/0000-0003-0646-0721

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Accurate estimates of adult mosquito abundance are central to the design and evaluation of vector control strategies, yet they are difficult to obtain from natural populations. Conventional mark-recapture methods for estimating adult mosquito census size pose logistical and other challenges. A recently developed close-kin mark-recapture (CKMR) approach is a promising alternative. However, application of CKMR has been largely confined to long-lived vertebrates. Validation on empirical data from short-lived, highly fecund insects is lacking. Here, we apply CKMR to a natural population of

Indexed as

abundance estimationAnopheles gambiaeclose‐kin mark‐recapturekinship inferencemicrohaplotypereproductive variance

Identifiers

PMID42851556
PMCPMC13646492

What OpenQuestion holds

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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.