ArticleScientific reports2022
Impact of urban structure on infectious disease spreading.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
20 citing papers in PubMed, 52 citations in OpenAlex.
- Assessing spatial transmission risk of respiratory infectious diseases across cities of different socioeconomic tiers in China: A modelling study.PLoS medicine · 2026Article
- HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.Research square · 2026Article
- HIV Transmission Dynamics in Greater Mexico City are Shaped by Dense Spatial Mixing.medRxiv : the preprint server for health sciences · 2026Article
- Analysis of influenza surveillance results in Sichuan Province in China, 2023-2025.Frontiers in medicine · 2026Article
- Hepatitis A epidemics in Japan, France, and Thailand from 2007 to 2021, highlighting a post-COVID-19 decline.Scientific reports · 2025Article
- Model predicted human mobility explains COVID-19 transmission in urban space without behavioral data.Scientific reports · 2025Article
- A coupled model for public health risk: hazard and urban vulnerability in 18 cities in Sichuan, China.Frontiers in public health · 2025Article
- Observational
- Emerging Cases of Cat-Transmitted Sporotrichosis Driven by Sporothrix brasiliensis in Northeast Brazil.Mycopathologia · 2024Article
- Antimicrobial Resistance Patterns in an Urban County: a Spatiotemporal Exploration.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- Safety in Rats of a Novel Nasal Spray Formulation for the Prevention of Airborne Viral Infections.Pharmaceutics · 2023Article
- Crime, inequality and public health: a survey of emerging trends in urban data science.Frontiers in big data · 2023Review
- Measuring the effects of Compactness/Sprawl on COVID 19 spread patterns at the neighborhood level.Cities (London, England) · 2023Article
- Mobility data shows effectiveness of control strategies for COVID-19 in remote, sparse and diffuse populations.Frontiers in epidemiology · 2023Article
- 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
- SARS-CoV-2 Surface Swabs in Locations With Public Access-Potential for Improved Source Control.Open forum infectious diseases · 2022Article
- Interplay between mobility, multi-seeding and lockdowns shapes COVID-19 local impact.PLoS computational biology · 2021Article
- Integrating online and offline data for crisis management: Online geolocalized emotion, policy response, and local mobility during the COVID crisis.Scientific reports · 2021Article
- Investigation of the urbanization contribution to the COVID-19 outbreak in Iran and the MECA countries.Environment, development and sustainability · 2021Article
- Quantifying the Time-Lag Effects of Human Mobility on the COVID-19 Transmission: A Multi-City Study in China.IEEE access : practical innovations, open solutions · 2020Article
Corrections and comments
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Authors and funding
11 authors at 7 institutions in 5 countries.
Funding
Abstract
The ongoing SARS-CoV-2 pandemic has been holding the world hostage for several years now. Mobility is key to viral spreading and its restriction is the main non-pharmaceutical interventions to fight the virus expansion. Previous works have shown a connection between the structural organization of cities and the movement patterns of their residents. This puts urban centers in the focus of epidemic surveillance and interventions. Here we show that the organization of urban flows has a tremendous impact on disease spreading and on the amenability of different mitigation strategies. By studying anonymous and aggregated intra-urban flows in a variety of cities in the United States and other countries, and a combination of empirical analysis and analytical methods, we demonstrate that the response of cities to epidemic spreading can be roughly classified in two major types according to the overall organization of those flows. Hierarchical cities, where flows are concentrated primarily between mobility hotspots, are particularly vulnerable to the rapid spread of epidemics. Nevertheless, mobility restrictions in such types of cities are very effective in mitigating the spread of a virus. Conversely, in sprawled cities which present many centers of activity, the spread of an epidemic is much slower, but the response to mobility restrictions is much weaker and less effective. Investing resources on early monitoring and prompt ad-hoc interventions in more vulnerable cities may prove helpful in containing and reducing the impact of future pandemics.
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Registered trials
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.