Effects of human mobility on the spread of Dengue in the region of Caldas, Colombia

PLoS Negl Trop Dis. 2023 Nov 27;17(11):e0011087. doi: 10.1371/journal.pntd.0011087. eCollection 2023 Nov.

Abstract

According to the World Health Organization (WHO), dengue is the most common acute arthropod-borne viral infection in the world. The spread of dengue and other infectious diseases is closely related to human activity and mobility. In this paper we analyze the effect of introducing mobility restrictions as a public health policy on the total number of dengue cases within a population. To perform the analysis, we use a complex metapopulation in which we implement a compartmental propagation model coupled with the mobility of individuals between the patches. This model is used to investigate the spread of dengue in the municipalities of Caldas (CO). Two scenarios corresponding to different types of mobility restrictions are applied. In the first scenario, the effect of restricting mobility is analyzed in three different ways: a) limiting the access to the endemic node but allowing the movement of its inhabitants, b) restricting the diaspora of the inhabitants of the endemic node but allowing the access of outsiders, and c) a total isolation of the inhabitants of the endemic node. In this scenario, the best simulation results are obtained when specific endemic nodes are isolated during a dengue outbreak, obtaining a reduction of up to 2.5% of dengue cases. Finally, the second scenario simulates a total isolation of the network, i.e., mobility between nodes is completely limited. We have found that this control measure increases the number of total dengue cases in the network by 2.36%.

MeSH terms

  • Cities
  • Colombia / epidemiology
  • Computer Simulation
  • Dengue* / epidemiology
  • Disease Outbreaks
  • Humans

Grants and funding

COA acknowledges the funding provided by Colciencias through a doctoral scholarship under the ‘national doctoral scholarships call 647 of 2014,’ which has been essential in supporting her doctoral studies and contributing to the progress of this research. JGG acknowledges financial support from the Departamento de Industria e Innovación del Gobierno de Aragón y Fondo Social Europeo (FENOL group grant E36-23R) and from MICIN through project PID2020-113582GB-I00/AEI/10.13039/501100011033. The funders had no role in the study design, data collection and analysis, decision to publish, or manuscript preparation.