Evidence map›Paper›PMID 34843478›Full record

ArticlePLoS neglected tropical diseases2021

A distribution model for Glossina brevipalpis and Glossina austeni in Southern Mozambique, Eswatini and South Africa for enhanced area-wide integrated pest management approaches.

Chantel J de Beer, Ahmadou H Dicko, Jerome Ntshangase, Percy Moyaba, Moeti O Taioe, Fernando C Mulandane, Luis Neves, Sihle Mdluli, Laure Guerrini, Jérémy Bouyer and 2 more

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
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  3. Insects · 2025
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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

12 authors at 5 institutions in 5 countries.

Chantel J de BeerJoint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Insect Pest Control Laboratory, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.ORCID 0000-0002-6244-4905
Ahmadou H DickoSTATS4D, Dakar, Senegal.
Jerome NtshangaseEpidemiology, Parasites & Vectors, Agricultural Research Council-Onderstepoort Veterinary Research (ARC-OVR), Onderstepoort, South Africa.
Percy MoyabaEpidemiology, Parasites & Vectors, Agricultural Research Council-Onderstepoort Veterinary Research (ARC-OVR), Onderstepoort, South Africa.
Moeti O TaioeEpidemiology, Parasites & Vectors, Agricultural Research Council-Onderstepoort Veterinary Research (ARC-OVR), Onderstepoort, South Africa.ORCID 0000-0002-2905-4104
Fernando C MulandaneBiotechnology Centre, Eduardo Mondlane University, Maputo, Mozambique.ORCID 0000-0002-0995-1369
Luis NevesBiotechnology Centre, Eduardo Mondlane University, Maputo, Mozambique.
Sihle MdluliEpidemiology Unit, Department of Veterinary Services, Manzini, Eswatini.
Laure GuerriniUMR ASTRE (Animal, Health, Territories, Risks and Ecosystems), CIRAD, INRA, Université de Montpellier, Montpellier, France.ORCID 0000-0002-4122-8023
Jérémy BouyerJoint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Insect Pest Control Laboratory, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.ORCID 0000-0002-1913-416X
Marc J B VreysenJoint FAO/IAEA Centre of Nuclear Techniques in Food and Agriculture, Insect Pest Control Laboratory, Department of Nuclear Sciences and Applications, International Atomic Energy Agency, Vienna, Austria.
Gert J VenterEpidemiology, Parasites & Vectors, Agricultural Research Council-Onderstepoort Veterinary Research (ARC-OVR), Onderstepoort, South Africa.ORCID 0000-0003-3396-7333
Onderstepoort Veterinary Institute · ZAInternational Atomic Energy Agency · ATEduardo Mondlane University · MZAnimal, Santé, Territoires, Risques et Ecosystèmes · FRCentre de Coopération Internationale en Recherche Agronomique pour le Développement · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGlossina austeni and Glossina brevipalpis (Diptera: Glossinidae) are the sole cyclical vectors of African trypanosomes in South Africa, Eswatini and southern Mozambique. These populations represent the southernmost distribution of tsetse flies on the African continent. Accurate knowledge of infested areas is a prerequisite to develop and implement efficient and cost-effective control strategies, and distribution models may reduce large-scale, extensive entomological surveys that are time consuming and expensive. The objective was to develop a MaxEnt species distribution model and habitat suitability maps for the southern tsetse belt of South Africa, Eswatini and southern Mozambique. METHODOLOGY/PRINCIPAL

findingsThe present study used existing entomological survey data of G. austeni and G. brevipalpis to develop a MaxEnt species distribution model and habitat suitability maps. Distribution models and a checkerboard analysis indicated an overlapping presence of the two species and the most suitable habitat for both species were protected areas and the coastal strip in KwaZulu-Natal Province, South Africa and Maputo Province, Mozambique. The predicted presence extents, to a small degree, into communal farming areas adjacent to the protected areas and coastline, especially in the Matutuíne District of Mozambique. The quality of the MaxEnt model was assessed using an independent data set and indicated good performance with high predictive power (AUC > 0.80 for both species). CONCLUSIONS/SIGNIFICANCE: The models indicated that cattle density, land surface temperature and protected areas, in relation with vegetation are the main factors contributing to the distribution of the two tsetse species in the area. Changes in the climate, agricultural practices and land-use have had a significant and rapid impact on tsetse abundance in the area. The model predicted low habitat suitability in the Gaza and Inhambane Provinces of Mozambique, i.e., the area north of the Matutuíne District. This might indicate that the southern tsetse population is isolated from the main tsetse belt in the north of Mozambique. The updated distribution models will be useful for planning tsetse and trypanosomosis interventions in the area.

Indexed as

Animal DistributionAnimalsCattleCattle DiseasesEcosystemEswatiniGlossinidaeInsect ControlInsect VectorsMozambiqueSouth Africa

Identifiers

PMID34843478
PMCPMC8659649
OpenAlexW3216809055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.