Evidence map›Paper›PMID 28467409›Full record

ArticlePLoS neglected tropical diseases2017

A pilot study to delimit tsetse target populations in Zimbabwe.

Gerald Chikowore, Ahmadou H Dicko, Peter Chinwada, Moses Zimba, William Shereni, François Roger, Jérémy Bouyer, Laure Guerrini

Abstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. 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. Review
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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

8 authors.

Gerald ChikoworeTsetse Control Division, Department of Livestock and Veterinary Services, Ministry of Agriculture, Mechanisation and Irrigation Development, Harare, Zimbabwe.ORCID http://orcid.org/0000-0002-4122-8023
Ahmadou H DickoCentre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR ASTRE CIRAD-INRA « AnimalS, health, Territories, Risks and Ecosystems », Campus international de Baillarguet, Montpellier, France.
Peter ChinwadaDepartment of Biological Sciences, University of Zimbabwe, Harare, Zimbabwe.
Moses ZimbaDepartment of Biological Sciences, University of Zimbabwe, Harare, Zimbabwe.
William ShereniTsetse Control Division, Department of Livestock and Veterinary Services, Ministry of Agriculture, Mechanisation and Irrigation Development, Harare, Zimbabwe.
François RogerCentre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR ASTRE CIRAD-INRA « AnimalS, health, Territories, Risks and Ecosystems », Campus international de Baillarguet, Montpellier, France.
Jérémy BouyerCentre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR ASTRE CIRAD-INRA « AnimalS, health, Territories, Risks and Ecosystems », Campus international de Baillarguet, Montpellier, France.
Laure GuerriniCentre de Coopération Internationale en Recherche Agronomique pour le Développement, UMR ASTRE CIRAD-INRA « AnimalS, health, Territories, Risks and Ecosystems », Campus international de Baillarguet, Montpellier, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTsetse (Glossina sensu stricto) are cyclical vectors of human and animal trypanosomoses, that are presently targeted by the Pan African Tsetse and Trypanosomiasis Eradication Campaign (PATTEC) coordinated by the African Union. In order to achieve effective control of tsetse, there is need to produce elaborate plans to guide intervention programmes. A model intended to aid in the planning of intervention programmes and assist a fuller understanding of tsetse distribution was applied, in a pilot study in the Masoka area, Mid-Zambezi valley in Zimbabwe, and targeting two savannah species, Glossina morsitans morsitans and Glossina pallidipes. METHODOLOGY/PRINCIPAL

findingsThe field study was conducted between March and December 2015 in 105 sites following a standardized grid sampling frame. Presence data were used to study habitat suitability of both species based on climatic and environmental data derived from MODIS and SPOT 5 satellite images. Factors influencing distribution were studied using an Ecological Niche Factor Analysis (ENFA) whilst habitat suitability was predicted using a Maximum Entropy (MaxEnt) model at a spatial resolution of 250 m. Area Under the Curve (AUC), an indicator of model performance, was 0.89 for G. m. morsitans and 0.96 for G. pallidipes. We then used the predicted suitable areas to calculate the probability that flies were really absent from the grid cells where they were not captured during the study based on a probability model using a risk threshold of 0.05. Apart from grid cells where G. m. morsitans and G. pallidipes were captured, there was a high probability of presence in an additional 128 km2 and 144 km2 respectively. CONCLUSIONS/SIGNIFICANCE: The modelling process promised to be useful in optimizing the outputs of presence/absence surveys, allowing the definition of tsetse infested areas with improved accuracy. The methodology proposed here can be extended to all the tsetse infested parts of Zimbabwe and may also be useful for other PATTEC national initiatives in other African countries.

Indexed as

EcosystemTsetse FliesAnimalsEntomologyHumansInsect ControlInsect VectorsPilot ProjectsProbabilityTrypanosomiasis, AfricanZimbabwe

Identifiers

PMID28467409
PMCPMC5432187

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Registered trials

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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.