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Replacing ill workers with healthy ones accelerates some epidemics

Date:
August 1, 2016
Source:
Santa Fe Institute
Summary:
When disease outbreaks occur, people with essential roles -- healthcare workers, first responders, and teachers, for example -- are typically up close and personal with infected people. As these front-line workers become infected, healthy individuals take their places. Based on network models of this 'human exchange,' researchers find that replacing sick individuals with healthy ones can actually accelerate the spread of infection.
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When disease outbreaks occur, people with essential roles -- healthcare workers, first responders, and teachers, for example -- are typically up close and personal with infected people. As these front-line workers become infected, healthy individuals take their places.

Mathematical biologist Samuel Scarpino, who creates and analyzes epidemiological models, wondered how this exchange of critical people affects the spread of disease. The practice clearly raises the risk of infection for the replacement individuals -- but the population dynamics of this increase are neglected in existing epidemiological models.

Scarpino, while he was an Omidyar Fellow at the Santa Fe Institute, set out to quantify that risk and understand its influence. He enlisted the help of theoretical physicist Laurent Hébert-Dufresne, a James S. McDonnell Fellow at the Institute, and Antoine Allard, Hébert-Dufresne's longtime collaborator from the University of Barcelona. Both study complex patterns in networks.

The trio integrated this "human exchange" into network models of disease and found that replacing sick individuals with healthy ones can actually accelerate the spread of infection. Scarpino and Hébert-Dufresne tested their ideas on 17 years' worth of data on two diseases: influenza and dengue. Their analysis, just published in Nature Physics, reveals that human exchange likely accelerates outbreaks of influenza, which spreads via human contact. But it has no effect on the spread of dengue -- which makes sense, as dengue spreads via mosquitoes.

"We didn't see a strong signal in diseases where we didn't expect it," says Hébert-Dufresne.

Scarpino, now an assistant professor at the University of Vermont, says he hopes to see this effect integrated into future epidemiological models. "Models where you start to incorporate slightly more realistic human behavior are essential if we're going to make high-fidelity public health and clinical decisions," he says.


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Materials provided by Santa Fe Institute. Note: Content may be edited for style and length.


Journal Reference:

  1. Samuel V. Scarpino, Antoine Allard, Laurent Hébert-Dufresne. The effect of a prudent adaptive behaviour on disease transmission. Nature Physics, 2016; DOI: 10.1038/nphys3832

Cite This Page:

Santa Fe Institute. "Replacing ill workers with healthy ones accelerates some epidemics." ScienceDaily. ScienceDaily, 1 August 2016. <www.sciencedaily.com/releases/2016/08/160801163904.htm>.
Santa Fe Institute. (2016, August 1). Replacing ill workers with healthy ones accelerates some epidemics. ScienceDaily. Retrieved May 23, 2017 from www.sciencedaily.com/releases/2016/08/160801163904.htm
Santa Fe Institute. "Replacing ill workers with healthy ones accelerates some epidemics." ScienceDaily. www.sciencedaily.com/releases/2016/08/160801163904.htm (accessed May 23, 2017).

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