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Modeling Distributional Potential of Infectious Diseases

  • Abdallah M. Samy
  • , Carlos Yáñez-Arenas
  • , Anja Jaeschke
  • , Yanchao Cheng
  • , Stephanie Thomas

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Abstract

Mapping disease risk assists in understanding disease epidemiology and illuminates details on spatial patterns of species involved in the disease transmission cycle. This chapter provides a conceptual framework for the ecological niche modeling (ENM) and epidemiological modeling (EM) to offer diverse applications for the two approaches in anticipating disease risk. The two modeling approaches present a methodological suite of geospatial, ecological, and epidemiological toolkits in the field of epidemiology and public health. ENM combines occurrence records and environmental information to project the habitat suitability for a certain species and identifies ecological drivers of its distribution. Alternatively, EM is used to describe the health state change (e.g., susceptible, exposed, infected, and removed) of both vectors and hosts with mathematical equations. Finally, this chapter also identifies the pros and cons of each single modeling approach and offers new opportunities for integrating both ecological niche and epidemiological modeling approaches for a better understanding of disease dynamics.
Original languageEnglish
Title of host publicationGeospatial Technology for Human Well-Being and Health
PublisherSpringer
ISBN (Print)978-3-030-71377-5, 978-3-030-71376-8
DOIs
Publication statusPublished - 2022
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • ITC-CV

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