How heterogeneity in density dependence affects disease spread: when lifestyle matters

Abstract

People's lifestyles play a major role in disease risk. Some employment sectors and transport modes involve fixed exposures regardless of community size, while in other settings exposure tracks with population density. MERS-CoV, a coronavirus discovered in Saudi Arabia in 2012 closely related to those causing SARS and COVID-19, appears to need extended contact time for transmission, making some segments of a community at greater risk than others. We model mathematically how heterogeneity in contact rate structure impacts disease spread, using as a case study a MERS outbreak in two Saudi Arabian communities. We divide the at-risk population into segments with exposure rates either independent of population density or density-dependent. Analysis shows disease spread is minimized for intermediate size populations with a limited proportion of individuals in the density-independent group. In the case study, the high proportion of density-independent exposure may explain the historical outbreak's extinction in the larger city.

Keywords:

• Middle East respiratory syndrome
• contact rate
• population density
• epidemic outbreak

Acknowledgement

The authors acknowledge the preliminary work done by the authors of [12], whose research was supported by an NSF UBM-Institutional grant, DUE-0827136, as part of the UTTER program at UT Arlington.

Disclosure statement

No potential conflict of interest was reported by the author(s).