2019/10/08 by Emanuele Massaro, Dániel Kondor, Massaro, Emanuele +3 · 4 citations
Computer Science · Mathematics · Social Sciences · #COVID-19 epidemiological studies #FOS: Biological sciences #FOS: Physical sciences #Human Mobility and Location-Based Analysis #ICT in Developing Communities #Physics and Society (physics.soc-ph) #Populations and Evolution (q-bio.PE)
paper · pdf · doi:10.48550/arxiv.1910.03529
openalex publication_date 2019/10/08 · openalex created_date 2022/07/28 · openalex updated_date 2026/07/28
Urbanization drives the epidemiology of infectious diseases to many threats\nand new challenges. In this research, we study the interplay between human\nmobility and dengue outbreaks in the complex urban environment of the\ncity-state of Singapore. We integrate both stylized and mobile phone\ndata-driven mobility patterns in an agent-based transmission model in which\nhumans and mosquitoes are represented as agents that go through the epidemic\nstates of dengue. We monitor with numerical simulations the system-level\nresponse to the epidemic by comparing our results with the observed cases\nreported during the 2013 and 2014 outbreaks. Our results show that human\nmobility is a major factor in the spread of vector-borne diseases such as\ndengue even on the short scale corresponding to intra-city distances. We\nfinally discuss the advantages and the limits of mobile phone data and\npotential alternatives for assessing valuable mobility patterns for modeling\nvector-borne diseases outbreaks in cities.\n