Evidence map›Paper›PMID 41636726›Full record

ArticleInternational health2026

An innovative concept of using community information for surveys and developing a map of Simulium breeding sites.

Daniel A Boakye, Kareen Atekem, Franklin Ayisi, Olabanji Surakat, Adoum M Oumar, Lassane Koala, Arwa Elaagip, Dziedzom K de Souza, Jamie Tallant, Sashi Leff and 3 more

Abstract read
In one paragraph

Article in International health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

13 authors.

Daniel A BoakyeDepartment of Parasitology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, P.O. Box LG581 Legon, Ghana.
Kareen AtekemDepartment of Entomology, Center for Infectious Disease Dynamics, Pennsylvania State University, 16802 University Park, PA, USA.
Franklin AyisiAfrican Regional Postgraduate Programme in Insect Science (ARPPIS), University of Ghana, PMB LG 59, Legon, Ghana.ORCID 0009-0002-6629-1472
Olabanji SurakatDepartment of Zoology, Osun State University, PMB 4494, Osogbo, Nigeria.ORCID 0000-0002-2382-3857
Adoum M OumarMinistère de la Santé Publique et de la Prevention, BP 700, Ndjamena, Chad.
Lassane KoalaCentre National de Recherche Scientifique et Technologique (CNRST)/Institut de Recherche en Sciences de la Santé (IRSS), Département Biomédical et Santé Publique, Direction Régionale de l'Ouest, Bobo Dioulasso, Burkina Faso.
Arwa ElaagipDepartment of Parasitology and Medical Entomology, Faculty of Medical Laboratory Sciences, University of Khartoum, P.O. Box 11111 Khartoum, Sudan.
Dziedzom K de SouzaDepartment of Parasitology, Noguchi Memorial Institute for Medical Research, College of Health Sciences, University of Ghana, P.O. Box LG581 Legon, Ghana.
Jamie TallantThe END Fund, New York, NY 10016, USA.
Sashi LeffThe END Fund, New York, NY 10016, USA.
Eve GatawaThe END Fund, New York, NY 10016, USA.
Anne HeggenThe END Fund, New York, NY 10016, USA.
Charles D MackenzieThe END Fund, New York, NY 10016, USA.ORCID 0000-0003-4628-8188

Funding

Bill and Melinda Gates Foundation OPP1193778Reaching the Last Mile Fund
6 · The paper itself

Abstract

backgroundHaving a Simulium vector distribution map is important for all entomological and epidemiological aspects for the elimination of onchocerciasis. Developing these maps using topographic maps has some limitations such as identifying the exact locations of rapids, especially with low-scale maps. This leads to breeding sites being missed during prospecting. Recent efforts to map breeding sites involve the development of technologies such as satellite images, remote sensing modelling and drones. The limitations of these technologies include cost, security concerns and tree cover preventing the observation of rapids from the sky. Although community support has traditionally been used to guide entomological teams during prospecting for breeding sites, community knowledge has not been an integral part in planning breeding site surveys.

methodsThis article proposes a concept of using community knowledge and health system structure for planning and implementation of breeding sites surveys. The approach uses questionnaires to gather information on fast-flowing stretches of rivers within communities. Using this information, a breeding site survey plan is developed at the national level and reviewed and implemented at the district and subdistrict levels using discussions, photos and videos of fast flowing rivers, as well as topographic maps. A working timetable is then developed that indicates areas to visit each day, maximizing time in the field and other logistics.

conclusionsUsing health system structures and community members not only provides a rapid approach for entomological surveys but also strengthens entomological fieldwork and fosters community engagement in vector surveillance.

Indexed as

Insect VectorsOnchocerciasisSimuliidaeAnimalsBreedingHumansRiversSurveys and Questionnairesbreeding site surveyscommunity knowledgehealth systemonchocerciasis

Identifiers

PMID41636726
PMCPMC13223561

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.