ArticleBMC public health2021
Variation in human mobility and its impact on the risk of future COVID-19 outbreaks in Taiwan.
Article in BMC public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.
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32 citing papers in PubMed, 67 citations in OpenAlex.
- Article
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- Global Mpox spread due to increased air travel.Geospatial health · 2024Article
- Human mobility and the infectious disease transmission: A systematic review.Geo-spatial information science = Diqui kongjian xinxi kexue xuebao · 2024Article
- Genomic Surveillance of SARS-CoV-2 in México: Three Years since Wuhan, China's First Reported Case.Viruses · 2023Article
- Interregional mobility in different age groups is associated with COVID-19 transmission in the Taipei metropolitan area, Taiwan.Scientific reports · 2023Article
- COVID-19-associated income loss and job loss: Evidence from Indonesia.Journal of Asian economics · 2023Article
- Using geospatial social media data for infectious disease studies: a systematic review.International journal of digital earth · 2023Article
- Spatial Optimization to Improve COVID-19 Vaccine Allocation.Vaccines · 2022Article
- Determination of Population Mobility Dynamics in Popayán-Colombia during the COVID-19 Pandemic Using Open Datasets.International journal of environmental research and public health · 2022Article
- Inter-prefectural Travel and Network Connectedness During the COVID-19 Pandemic in Japan.Journal of epidemiology · 2022Article
- Urban Determinants of COVID-19 Spread: a Comparative Study across Three Cities in New York State.Journal of urban health : bulletin of the New York Academy of Medicine · 2022Article
- Social media mining under the COVID-19 context: Progress, challenges, and opportunities.International journal of applied earth observation and geoinformation : ITC journal · 2022Article
- Examining the COVID-19 case growth rate due to visitor vs. local mobility in the United States using machine learning.Scientific reports · 2022Article
- Effectiveness of controlling COVID-19 epidemic by implementing soft lockdown policy and extensive community screening in Taiwan.Scientific reports · 2022Article
- Compartmental structures used in modeling COVID-19: a scoping review.Infectious diseases of poverty · 2022Article
- Associations between COVID-19 Pandemic, Lockdown Measures and Human Mobility: Longitudinal Evidence from 86 Countries.International journal of environmental research and public health · 2022Article
- A dynamic physical-distancing model to evaluate spatial measures for prevention of Covid-19 spread.Physica A · 2022Article
- Structural modeling of COVID-19 spread in relation to human mobility.Transportation research interdisciplinary perspectives · 2022Article
- Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.Medical review (2021) · 2022Review
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6 authors at 2 institutions in 2 countries.
Funding
Abstract
backgroundAs COVID-19 continues to spread around the world, understanding how patterns of human mobility and connectivity affect outbreak dynamics, especially before outbreaks establish locally, is critical for informing response efforts. In Taiwan, most cases to date were imported or linked to imported cases.
methodsIn collaboration with Facebook Data for Good, we characterized changes in movement patterns in Taiwan since February 2020, and built metapopulation models that incorporate human movement data to identify the high risk areas of disease spread and assess the potential effects of local travel restrictions in Taiwan.
resultsWe found that mobility changed with the number of local cases in Taiwan in the past few months. For each city, we identified the most highly connected areas that may serve as sources of importation during an outbreak. We showed that the risk of an outbreak in Taiwan is enhanced if initial infections occur around holidays. Intracity travel reductions have a higher impact on the risk of an outbreak than intercity travel reductions, while intercity travel reductions can narrow the scope of the outbreak and help target resources. The timing, duration, and level of travel reduction together determine the impact of travel reductions on the number of infections, and multiple combinations of these can result in similar impact.
conclusionsTo prepare for the potential spread within Taiwan, we utilized Facebook's aggregated and anonymized movement and colocation data to identify cities with higher risk of infection and regional importation. We developed an interactive application that allows users to vary inputs and assumptions and shows the spatial spread of the disease and the impact of intercity and intracity travel reduction under different initial conditions. Our results can be used readily if local transmission occurs in Taiwan after relaxation of border control, providing important insights into future disease surveillance and policies for travel restrictions.
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