Mathematical modeling of climate change and malaria transmission dynamics: a historical review

Steffen E. Eikenberry, Abba Gumel

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

Malaria, one of the greatest historical killers of mankind, continues to claim around half a million lives annually, with almost all deaths occurring in children under the age of five living in tropical Africa. The range of this disease is limited by climate to the warmer regions of the globe, and so anthropogenic global warming (and climate change more broadly) now threatens to alter the geographic area for potential malaria transmission, as both the Plasmodium malaria parasite and Anopheles mosquito vector have highly temperature-dependent lifecycles, while the aquatic immature Anopheles habitats are also strongly dependent upon rainfall and local hydrodynamics. A wide variety of process-based (or mechanistic) mathematical models have thus been proposed for the complex, highly nonlinear weather-driven Anopheles lifecycle and malaria transmission dynamics, but have reached somewhat disparate conclusions as to optimum temperatures for transmission, and the possible effect of increasing temperatures upon (potential) malaria distribution, with some projecting a large increase in the area at risk for malaria, but others predicting primarily a shift in the disease’s geographic range. More generally, both global and local environmental changes drove the initial emergence of P. falciparum as a major human pathogen in tropical Africa some 10,000 years ago, and the disease has a long and deep history through the present. It is the goal of this paper to review major aspects of malaria biology, methods for formalizing these into mathematical forms, uncertainties and controversies in proper modeling methodology, and to provide a timeline of some major modeling efforts from the classical works of Sir Ronald Ross and George Macdonald through recent climate-focused modeling studies. Finally, we attempt to place such mathematical work within a broader historical context for the “million-murdering Death” of malaria.

Original languageEnglish (US)
Pages (from-to)1-77
Number of pages77
JournalJournal of Mathematical Biology
DOIs
StateAccepted/In press - Apr 24 2018

Fingerprint

Malaria
Climate Change
Climate change
Mathematical Modeling
malaria
mathematical models
climate change
Anopheles
Global warming
Pathogens
Temperature
Rain
Climate
Hydrodynamics
Life Cycle
Mathematical models
Plasmodium malariae
death
Global Warming
climate

Keywords

  • Climate change
  • Malaria
  • Ross–Macdonald
  • Thermal-response

ASJC Scopus subject areas

  • Modeling and Simulation
  • Agricultural and Biological Sciences (miscellaneous)
  • Applied Mathematics

Cite this

Mathematical modeling of climate change and malaria transmission dynamics : a historical review. / Eikenberry, Steffen E.; Gumel, Abba.

In: Journal of Mathematical Biology, 24.04.2018, p. 1-77.

Research output: Contribution to journalArticle

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