ArticlePublic health2020
Human mobility and coronavirus disease 2019 (COVID-19): a negative binomial regression analysis.
Article in Public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- Determinants of COVID-19 prevalence in Central Java, Indonesia: An ecological study of socio-demographic, environmental, and healthcare factors.Dialogues in health · 2026Article
- Spatio-temporal modelling of COVID-19 infection and associated risk factors in Dakar, Senegal.PLOS global public health · 2026Article
- Synthetic method of analogues for emerging infectious disease forecasting.PLoS computational biology · 2025Article
- Work-related connectivity between Boston Logan international airport and urban communities with high social vulnerability during the COVID-19 pandemic.Tropical diseases, travel medicine and vaccines · 2025Article
- Assessing self-reported public health emergency competencies for civil aviation personnel in China: a pilot study.BMC public health · 2024Article
- Review
- Spatio-temporal epidemiology and associated indicators of COVID-19 (wave-I and II) in India.Scientific reports · 2024Article
- Interregional mobility in different age groups is associated with COVID-19 transmission in the Taipei metropolitan area, Taiwan.Scientific reports · 2023Article
- Systematic literature review on impacts of COVID-19 pandemic and corresponding measures on mobility.Transportation · 2023Article
- COVID-19, traffic demand, and activity restriction in China: A national assessment.Travel behaviour & society · 2023Article
- Understanding Covid-19 Mobility Through Human Capital: A Unified Causal Framework.Computational economics · 2023Article
- A neighborhood-level analysis of association between social vulnerability and COVID-19 in ahvaz, Iran.International journal of disaster risk reduction : IJDRR · 2023Article
- The relationship among air pollution, meteorological factors and COVID-19 in the Brussels Capital Region.The Science of the total environment · 2023Article
- Revisiting the analysis pipeline for overdispersed Poisson and binomial data.Journal of applied statistics · 2023Review
- Impact of Different Transportation Modes on the Transmission of COVID-19: Correlation and Strategies from a Case Study in Wuhan, China.International journal of environmental research and public health · 2022Article
- The impact of air travel on the precocity and severity of COVID-19 deaths in sub-national areas across 45 countries.Scientific reports · 2022Article
- Impact of pre-pandemic travel mobility patterns on the spatial diffusion of COVID-19 in South Korea.Journal of transport & health · 2022Article
- Role of pathogen-laden expiratory droplet dispersion and natural ventilation explaining a COVID-19 outbreak in a coach bus.Building and environment · 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
- Novel mobility index tracks COVID-19 transmission following stay-at-home orders.Scientific reports · 2022Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to examine the link between human mobility and the number of coronavirus disease 2019 (COVID-19)-infected people in countries. STUDY
designOur data set covers 144 countries for which complete data are available. To analyze the link between human mobility and COVID-19-infected people, our study focused on the volume of air travel, the number of airports, and the Schengen system.
methodsTo analyze the variation in COVID-19-infected people in countries, we used negative binomial regression analysis.
resultsOur findings suggest a positive relationship between higher volume of airline passenger traffic carried in a country and higher numbers of patients with COVID-19. We further found that countries which have a higher number of airports are associated with higher number of COVID-19 cases. Schengen countries, countries which have higher population density, and higher percentage of elderly population are also found to be more likely to have more COVID-19 cases than other countries.
conclusionsThe article brings a novel insight into the COVID-19 pandemic from a human mobility perspective. Future research should assess the impacts of the scale of sea/bus/car travel on the epidemic. The findings of this article are relevant for public health authorities, community and health service providers, as well as policy-makers.
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