Skip to content
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Menu
Home
About Us
Resources
Profiles Metrics
Authors Directory
Institutions Directory
Top Authors
Top Institutions
Top Sponsors
AI Digest
Contact Us
Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
agricultural and biological sciences
Poverty trap formed by the ecology of infectious diseases
Proceedings of the Royal Society B: Biological Sciences, Volume 277, No. 1685, Year 2010
Notification
URL copied to clipboard!
Description
While most of the world has enjoyed exponential economic growth, more than one-sixth of the world is today roughly as poor as their ancestors were many generations ago. Widely accepted general explanations for the persistence of such poverty have been elusive and are needed by the international development community. Building on a well-established model of human infectious diseases, we show how formally integrating simple economic and disease ecology models can naturally give rise to poverty traps, where initial economic and epidemiological conditions determine the long-term trajectory of the health and economic development of a society. This poverty trap may therefore be broken by improving health conditions of the population. More generally, we demonstrate that simple human ecological models can help explain broad patterns of modern economic organization. © 2009 The Royal Society.
Authors & Co-Authors
Bonds, Matthew H.
United States, Boston
Harvard T.h. Chan School of Public Health
Rwanda, Butare
University of Rwanda
Keenan, Donald C.
United States, Athens
Terry College of Business
France, Cergy-pontoise
Cy Cergy Paris Université
Rohani, Pejman
United States, Ann Arbor
University of Michigan, Ann Arbor
Sachs, Jeffrey David
United States, New York
Columbia University
Statistics
Citations: 195
Authors: 4
Affiliations: 6
Identifiers
Doi:
10.1098/rspb.2009.1778
ISSN:
09628452
Study Design
Cross Sectional Study