Literature DB >> 33571190

Potential impacts of climate change on geographical distribution of three primary vectors of African Trypanosomiasis in Tanzania's Maasai Steppe: G. m. morsitans, G. pallidipes and G. swynnertoni.

Happiness Jackson Nnko1, Paul Simon Gwakisa2, Anibariki Ngonyoka1, Calvin Sindato3,4, Anna Bond Estes5,6.   

Abstract

In the Maasai Steppe, public health and economy are threatened by African Trypanosomiasis, a debilitating and fatal disease to livestock (African Animal Trypanosomiasis -AAT) and humans (Human African Trypanosomiasis-HAT), if not treated. The tsetse fly is the primary vector for both HAT and AAT and climate is an important predictor of their occurrence and the parasites they carry. While understanding tsetse fly distribution is essential for informing vector and disease control strategies, existing distribution maps are old and were based on coarse spatial resolution data, consequently, inaccurately representing vector and disease dynamics necessary to design and implement fit-for-purpose mitigation strategies. Also, the assertion that climate change is altering tsetse fly distribution in Tanzania lacks empirical evidence. Despite tsetse flies posing public health risks and economic hardship, no study has modelled their distributions at a scale needed for local planning. This study used MaxEnt species distribution modelling (SDM) and ecological niche modeling tools to predict potential distribution of three tsetse fly species in Tanzania's Maasai Steppe from current climate information, and project their distributions to midcentury climatic conditions under representative concentration pathways (RCP) 4.5 scenarios. Current climate results predicted that G. m. morsitans, G. pallidipes and G swynnertoni cover 19,225 km2, 7,113 km2 and 32,335 km2 and future prediction indicated that by the year 2050, the habitable area may decrease by up to 23.13%, 12.9% and 22.8% of current habitable area, respectively. This information can serve as a useful predictor of potential HAT and AAT hotspots and inform surveillance strategies. Distribution maps generated by this study can be useful in guiding tsetse fly control managers, and health, livestock and wildlife officers when setting surveys and surveillance programs. The maps can also inform protected area managers of potential encroachment into the protected areas (PAs) due to shrinkage of tsetse fly habitats outside PAs.

Entities:  

Year:  2021        PMID: 33571190      PMCID: PMC7904224          DOI: 10.1371/journal.pntd.0009081

Source DB:  PubMed          Journal:  PLoS Negl Trop Dis        ISSN: 1935-2727


  24 in total

Review 1.  Range shifts and adaptive responses to Quaternary climate change.

Authors:  M B Davis; R G Shaw
Journal:  Science       Date:  2001-04-27       Impact factor: 47.728

2.  Sample selection bias and presence-only distribution models: implications for background and pseudo-absence data.

Authors:  Steven J Phillips; Miroslav Dudík; Jane Elith; Catherine H Graham; Anthony Lehmann; John Leathwick; Simon Ferrier
Journal:  Ecol Appl       Date:  2009-01       Impact factor: 4.657

3.  Vector-borne diseases, models, and global change.

Authors:  D J Rogers; M J Packer
Journal:  Lancet       Date:  1993-11-20       Impact factor: 79.321

Review 4.  Predicting the distribution of tsetse flies in West Africa using temporal Fourier processed meteorological satellite data.

Authors:  D J Rogers; S I Hay; M J Packer
Journal:  Ann Trop Med Parasitol       Date:  1996-06

5.  Variation of tsetse fly abundance in relation to habitat and host presence in the Maasai Steppe, Tanzania.

Authors:  Anibariki Ngonyoka; Paul S Gwakisa; Anna B Estes; Happiness J Nnko; Peter J Hudson; Isabella M Cattadori
Journal:  J Vector Ecol       Date:  2017-06       Impact factor: 1.671

6.  A landscape and climate data logistic model of tsetse distribution in Kenya.

Authors:  Nathan Moore; Joseph Messina
Journal:  PLoS One       Date:  2010-07-27       Impact factor: 3.240

7.  Factors influencing individual and community participation in the control of tsetse flies and human African trypanosomiasis in Urambo District, Tanzania.

Authors:  C Sindato; E N Kimbita; S N Kibona
Journal:  Tanzan J Health Res       Date:  2008-01

Review 8.  Potential influence of climate change on vector-borne and zoonotic diseases: a review and proposed research plan.

Authors:  James N Mills; Kenneth L Gage; Ali S Khan
Journal:  Environ Health Perspect       Date:  2010-11       Impact factor: 9.031

9.  Tsetse fly (G. f. fuscipes) distribution in the Lake Victoria basin of Uganda.

Authors:  Mugenyi Albert; Nicola A Wardrop; Peter M Atkinson; Steve J Torr; Susan C Welburn
Journal:  PLoS Negl Trop Dis       Date:  2015-04-15

10.  Patterns of tsetse abundance and trypanosome infection rates among habitats of surveyed villages in Maasai steppe of northern Tanzania.

Authors:  Anibariki Ngonyoka; Paul S Gwakisa; Anna B Estes; Linda P Salekwa; Happiness J Nnko; Peter J Hudson; Isabella M Cattadori
Journal:  Infect Dis Poverty       Date:  2017-09-04       Impact factor: 4.520

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