Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Modeling the Potential Future Distribution of Anthrax Outbreaks under Multiple Climate Change Scenarios for Kenya

Domain:

climatehealthcaregeospatial

Record type:

paper
Creator:
FreJohPetPat
Publisher:
MDP
Host:
The climate is changing, and such changes are projected to cause global increase in the prevalence and geographic ranges of infectious diseases such as anthrax. There is limited knowledge in the tropics with regards to expected impacts of climate change on anthrax outbreaks. We determined the future distribution of anthrax in Kenya with representative concentration pathways (RCP) 4.5 and 8.5 for year 2055. Ecological niche modelling (ENM) of boosted regression trees (BRT) was applied in predicting the potential geographic distribution of anthrax for current and future climatic conditions. The models were fitted with presence-only anthrax occurrences (n = 178) from historical archives (2011–2017), sporadic outbreak surveys (2017–2018), and active surveillance (2019–2020). The selected environmental variables in order of importance included rainfall of wettest month, mean precipitation (February, October, December, July), annual temperature range, temperature seasonality, length of longest dry season, potential evapotranspiration and slope. We found a general anthrax risk areal expansion i.e., current, 36,131 km2, RCP 4.5, 40,012 km2, and RCP 8.5, 39,835 km2. The distribution exhibited a northward shift from current to future. This prediction of the potential anthrax distribution under changing climates can inform anticipatory measures to mitigate future anthrax risk.

Visit

doi.org

Licenses

https://creativecommons.org/licenses/by/4.0/

Similar

Anthrax distribution in Kenya under climate change scenariosModeling the current distribution suitability and future dynamics of <i>Culicoides imicola</i> under climate change scenariosSPECIES DISTRIBUTION MODELING OF Terminalia brownii FRES UNDER CURRENT AND FUTURE CLIMATE SCENARIOS: IMPLICATIONS FOR DRYLAND RESTORATION IN ETHIOPIAModeling the spatial distribution of anthrax in southern KenyaModeling Groundwater Potential Under Climate Change Scenarios in Eastern Rwanda Using the MaxEnt and RF Machine Learning AlgorithmsClimate change reshapes potato (Solanum tuberosum L) suitability across the Greater Horn of Africa under future scenarios using MaxEnt modeling

Anthrax distribution in Kenya under climate change scenarios

Dat for climatic scenarios, baseline (1961–1990) of Mid-century (2041–2070 for RCP 4.5 and RCP 8.5.

Modeling the current distribution suitability and future dynamics of <i>Culicoides imicola</i> under climate change scenarios

Background African horse sickness, a transboundary and non-contagious arboviral infectious disease

SPECIES DISTRIBUTION MODELING OF Terminalia brownii FRES UNDER CURRENT AND FUTURE CLIMATE SCENARIOS: IMPLICATIONS FOR DRYLAND RESTORATION IN ETHIOPIA

ABSTRACT This study examines the potential distribution of Terminalia brownii, a drought-tolerant tr

Modeling the spatial distribution of anthrax in southern Kenya

Background Anthrax is an important zoonotic disease in Kenya associated with high animal and public

Modeling Groundwater Potential Under Climate Change Scenarios in Eastern Rwanda Using the MaxEnt and RF Machine Learning Algorithms

Groundwater in semi-arid East Africa is under increasing pressure from population growth and climate

Climate change reshapes potato (Solanum tuberosum L) suitability across the Greater Horn of Africa under future scenarios using MaxEnt modeling

The Greater Horn of Africa (GHA), where 75% of the population relies on rainfed agriculture, is high