ArticleScientific reports2019
Assessing the interplay between human mobility and mosquito borne diseases in urban environments.
Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 2 of them syntheses that pooled it.
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Who cites it
36 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Climatic, Socioecological and Environmental Determinants of Aedes spp. Dynamics at the Community Interface: A Systematic Review With Reflections From a One Health Perspective.Tropical medicine & international health : TM & IH · 2026Pooled it
- Spatial connectivity in mosquito-borne disease models: a systematic review of methods and assumptions.Journal of the Royal Society, Interface · 2021Pooled it
- Mobility and non-household environments: Understanding dengue transmission patterns in urban contexts.PLoS neglected tropical diseases · 2026Article
- Noisy periodicity in tropical respiratory disease dynamics.medRxiv : the preprint server for health sciences · 2026Article
- Dengue forecasting and outbreak detection in Brazil using LSTM: integrating human mobility and climate factors.Infectious Disease Modelling · 2026Article
- Molecular Dynamics Simulations and Current Trends in Designing New Antivirals Targeting Proteases: A Review from 2018 to 2025.Current drug targets · 2026Review
- Entomo-Molecular and Epidemiological Survey of Arboviruses inResearch and reports in tropical medicine · 2026Article
- Re-emergence of chikungunya virus in China by 2025: What we know and what to do?PLoS pathogens · 2025Review
- Mobility and non-household environments: understanding dengue transmission patterns in urban contexts.medRxiv : the preprint server for health sciences · 2025Article
- Dengue dynamics beyond biological factors: Revealing the nexus between urbanisation planning, and mobilities in Vientiane, Lao PDR.PLoS neglected tropical diseases · 2025Article
- Culicidae Fauna (Diptera: Culicomorpha) of the Quilombola Community of Abacatal, Ananindeua, Pará, in the Brazilian Amazon.Insects · 2025Article
- Critical mobility in policy making for epidemic containment.Scientific reports · 2025Article
- Impact of migratory flows and socio-environmental factors on dengue epidemiology in Oaxaca, Mexico.Frontiers in sociology · 2025Review
- Emerging mosquito-borne flaviviruses.mBio · 2024Review
- Use of Digital Tools in Arbovirus Surveillance: Scoping Review.Journal of medical Internet research · 2024Article
- The impact of COVID-19 mobility restrictions on dengue transmission in urban areas.PLoS neglected tropical diseases · 2024Article
- Identifying Important Nodes in Trip Networks and Investigating Their Determinants.Entropy (Basel, Switzerland) · 2023Article
- The Potential of Surveillance Data for Dengue Risk Mapping: An Evaluation of Different Approaches in Cuba.Tropical medicine and infectious disease · 2023Article
- Retrospective Genomic Surveillance of Chikungunya Transmission in Minas Gerais State, Southeast Brazil.Microbiology spectrum · 2022Article
- A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV.Micromachines · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Urbanization drives the epidemiology of infectious diseases to many threats and new challenges. In this research, we study the interplay between human mobility and dengue outbreaks in the complex urban environment of the city-state of Singapore. We integrate both stylized and mobile phone data-driven mobility patterns in an agent-based transmission model in which humans and mosquitoes are represented as agents that go through the epidemic states of dengue. We monitor with numerical simulations the system-level response to the epidemic by comparing our results with the observed cases reported during the 2013 and 2014 outbreaks. Our results show that human mobility is a major factor in the spread of vector-borne diseases such as dengue even on the short scale corresponding to intra-city distances. We finally discuss the advantages and the limits of mobile phone data and potential alternatives for assessing valuable mobility patterns for modeling vector-borne diseases outbreaks in cities.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.