ArticleProceedings of the National Academy of Sciences of the United States of America2016
Perspectives on the role of mobility, behavior, and time scales in the spread of diseases.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- How host mobility formulations shape estimates of pathogen dispersal and epidemic risk in non endemic regions.PLoS computational biology · 2026Article
- Vector-borne disease models with Lagrangian approach.Journal of mathematical biology · 2024Article
- Inference on a Multi-Patch Epidemic Model with Partial Mobility, Residency, and Demography: Case of the 2020 COVID-19 Outbreak in Hermosillo, Mexico.Entropy (Basel, Switzerland) · 2023Article
- Airborne disease transmission during indoor gatherings over multiple time scales: Modeling framework and policy implications.Proceedings of the National Academy of Sciences of the United States of America · 2023Article
- Unraveling the dynamic impacts of COVID-19 on metro ridership: An empirical analysis of Beijing and Shanghai, China.Transport policy · 2022Article
- Disease-economy trade-offs under alternative epidemic control strategies.Nature communications · 2022Article
- Effect of Human Mobility on the Spatial Spread of Airborne Diseases: An Epidemic Model with Indirect Transmission.Bulletin of mathematical biology · 2022Article
- Decentralized governance may lead to higher infection levels and sub-optimal releases of quarantines amid the COVID-19 pandemic.PloS one · 2022Article
- The Role of Movement Patterns in Epidemic Models on Complex Networks.Bulletin of mathematical biology · 2021Article
- The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modelling approach.Royal Society open science · 2021Article
- Measuring voluntary and policy-induced social distancing behavior during the COVID-19 pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Mobility restrictions are more than transient reduction of travel activities.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Discrete epidemic models with two time scales.Advances in difference equations · 2021Article
- Impacts of socio-economic determinants, spatial distance and climate factors on the confirmed cases and deaths of COVID-19 in China.PloS one · 2021Article
- Article
- Ebola vaccination in the Democratic Republic of the Congo.Proceedings of the National Academy of Sciences of the United States of America · 2019Article
- Vector-borne disease risk indexes in spatially structured populations.PLoS neglected tropical diseases · 2018Article
- Mathematical epidemiology: Past, present, and future.Infectious Disease Modelling · 2017Review
- Human-environment interactions in population and ecosystem health.Proceedings of the National Academy of Sciences of the United States of America · 2016Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The dynamics, control, and evolution of communicable and vector-borne diseases are intimately connected to the joint dynamics of epidemiological, behavioral, and mobility processes that operate across multiple spatial, temporal, and organizational scales. The identification of a theoretical explanatory framework that accounts for the pattern regularity exhibited by a large number of host-parasite systems, including those sustained by host-vector epidemiological dynamics, is but one of the challenges facing the coevolving fields of computational, evolutionary, and theoretical epidemiology. Host-parasite epidemiological patterns, including epidemic outbreaks and endemic recurrent dynamics, are characteristic to well-identified regions of the world; the result of processes and constraints such as strain competition, host and vector mobility, and population structure operating over multiple scales in response to recurrent disturbances (like El Niño) and climatological and environmental perturbations over thousands of years. It is therefore important to identify and quantify the processes responsible for observed epidemiological macroscopic patterns: the result of individual interactions in changing social and ecological landscapes. In this perspective, we touch on some of the issues calling for the identification of an encompassing theoretical explanatory framework by identifying some of the limitations of existing theory, in the context of particular epidemiological systems. Fostering the reenergizing of research that aims at disentangling the role of epidemiological and socioeconomic forces on disease dynamics, better understood as complex adaptive systems, is a key aim of this perspective.
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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.