Evidence map›Paper›PMID 33076987›Full record

ArticleParasites & vectors2020

Modelling the impact of climate change on the distribution and abundance of tsetse in Northern Zimbabwe.

Joshua Longbottom, Cyril Caminade, Harry S Gibson, Daniel J Weiss, Steve Torr, Jennifer S Lord

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 14% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
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  3. Optimization of Quinazolines for Inhibition ofACS medicinal chemistry letters · 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

6 authors at 3 institutions in 1 country.

Joshua LongbottomDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK. joshua.longbottom@gmail.com.ORCID http://orcid.org/0000-0002-4151-9031
Cyril CaminadeDepartment of Livestock and One Health, Institute of Infection, Veterinary and Ecological Sciences, University of Liverpool, Liverpool, UK.
Harry S GibsonMalaria Atlas Project, Big Data Institute, University of Oxford, Oxford, UK.
Daniel J WeissMalaria Atlas Project, Big Data Institute, University of Oxford, Oxford, UK.
Steve TorrDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Jennifer S LordDepartment of Vector Biology, Liverpool School of Tropical Medicine, Liverpool, UK.
Liverpool School of Tropical Medicine · GBUniversity of Oxford · GBUniversity of Liverpool · GB

Funding

Biotechnology and Biological Sciences Research Council BB/L019035/1Biotechnology and Biological Sciences Research Council BB/P005888/1Biotechnology and Biological Sciences Research Council BB/P006159/1Biotechnology and Biological Sciences Research Council BB/S01375X/1Medical Research Council 1964851
6 · The paper itself

Abstract

backgroundClimate change is predicted to impact the transmission dynamics of vector-borne diseases. Tsetse flies (Glossina) transmit species of Trypanosoma that cause human and animal African trypanosomiasis. A previous modelling study showed that temperature increases between 1990 and 2017 can explain the observed decline in abundance of tsetse at a single site in the Mana Pools National Park of Zimbabwe. Here, we apply a mechanistic model of tsetse population dynamics to predict how increases in temperature may have changed the distribution and relative abundance of Glossina pallidipes across northern Zimbabwe.

methodsLocal weather station temperature measurements were previously used to fit the mechanistic model to longitudinal G. pallidipes catch data. To extend the use of the model, we converted MODIS land surface temperature to air temperature, compared the converted temperatures with available weather station data to confirm they aligned, and then re-fitted the mechanistic model using G. pallidipes catch data and air temperature estimates. We projected this fitted model across northern Zimbabwe, using simulations at a 1 km × 1 km spatial resolution, between 2000 to 2016.

resultsWe produced estimates of relative changes in G. pallidipes mortality, larviposition, emergence rates and abundance, for northern Zimbabwe. Our model predicts decreasing tsetse populations within low elevation areas in response to increasing temperature trends during 2000-2016. Conversely, we show that high elevation areas (> 1000 m above sea level), previously considered too cold to sustain tsetse, may now be climatically suitable.

conclusionsTo our knowledge, the results of this research represent the first regional-scale assessment of temperature related tsetse population dynamics, and the first high spatial-resolution estimates of this metric for northern Zimbabwe. Our results suggest that tsetse abundance may have declined across much of the Zambezi Valley in response to changing climatic conditions during the study period. Future research including empirical studies is planned to improve model accuracy and validate predictions for other field sites in Zimbabwe.

Indexed as

Climate ChangeAnimalsFemaleHumansInsect VectorsPopulation DynamicsTemperatureTrypanosoma brucei gambienseTrypanosomiasis, AfricanTsetse FliesVector Borne DiseasesWeatherZimbabweAbundance estimatesNorthern zimbabwer-HATSleeping sicknessSpatial modelTsetse

Identifiers

PMID33076987
PMCPMC7574501
OpenAlexW3093021002

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.