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Modeling infectious disease dynamics in the complex landscape of global health.

Accepted version
Peer-reviewed

Type

Article

Change log

Authors

Heesterbeek, Hans 
Anderson, Roy M 
Andreasen, Viggo 
Bansal, Shweta 
De Angelis, Daniela  ORCID logo  https://orcid.org/0000-0001-6619-6112

Abstract

Despite some notable successes in the control of infectious diseases, transmissible pathogens still pose an enormous threat to human and animal health. The ecological and evolutionary dynamics of infections play out on a wide range of interconnected temporal, organizational, and spatial scales, which span hours to months, cells to ecosystems, and local to global spread. Moreover, some pathogens are directly transmitted between individuals of a single species, whereas others circulate among multiple hosts, need arthropod vectors, or can survive in environmental reservoirs. Many factors, including increasing antimicrobial resistance, increased human connectivity and changeable human behavior, elevate prevention and control from matters of national policy to international challenge. In the face of this complexity, mathematical models offer valuable tools for synthesizing information to understand epidemiological patterns, and for developing quantitative evidence for decision-making in global health.

Description

Keywords

Animals, Basic Reproduction Number, Coinfection, Communicable Disease Control, Communicable Diseases, Communicable Diseases, Emerging, Disease Outbreaks, Global Health, Health Policy, Hemorrhagic Fever, Ebola, Humans, Models, Biological, Public Health, Zoonoses

Journal Title

Science

Conference Name

Journal ISSN

0036-8075
1095-9203

Volume Title

347

Publisher

American Association for the Advancement of Science (AAAS)