↓ Skip to main content

PLOS

Impact of Preventive Responses to Epidemics in Rural Regions

Overview of attention for article published in PLOS ONE, March 2013
Altmetric Badge

Mentioned by

blogs
1 blog
twitter
1 X user
facebook
1 Facebook page

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
31 Mendeley
Title
Impact of Preventive Responses to Epidemics in Rural Regions
Published in
PLOS ONE, March 2013
DOI 10.1371/journal.pone.0059028
Pubmed ID
Authors

Phillip Schumm, Walter Schumm, Caterina Scoglio

Abstract

Various epidemics have arisen in rural locations through human-animal interaction, such as the H1N1 outbreak of 2009. Through collaboration with local government officials, we have surveyed a rural county and its communities and collected a dataset characterizing the rural population. From the respondents' answers, we build a social (face-to-face) contact network. With this network, we explore the potential spread of epidemics through a Susceptible-Latent-Infected-Recovered (SLIR) disease model. We simulate an exact model of a stochastic SLIR Poisson process with disease parameters representing a typical influenza-like illness. We test vaccine distribution strategies under limited resources. We examine global and location-based distribution strategies, as a way to reach critical individuals in the rural setting. We demonstrate that locations can be identified through contact metrics for use in vaccination strategies to control contagious diseases.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 3%
United States 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 29%
Student > Ph. D. Student 6 19%
Student > Master 5 16%
Lecturer 2 6%
Student > Bachelor 2 6%
Other 6 19%
Unknown 1 3%
Readers by discipline Count As %
Medicine and Dentistry 9 29%
Social Sciences 4 13%
Agricultural and Biological Sciences 2 6%
Immunology and Microbiology 2 6%
Computer Science 2 6%
Other 10 32%
Unknown 2 6%