ArticleInternational journal of environmental research and public health2020
The Predictive Capacity of Air Travel Patterns During the Global Spread of the COVID-19 Pandemic: Risk, Uncertainty and Randomness.
Article in International journal of environmental research and public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Applications of GIS and geospatial analyses in COVID-19 research: A systematic review.F1000Research · 2020Pooled it
- Assessing self-reported public health emergency competencies for civil aviation personnel in China: a pilot study.BMC public health · 2024Article
- Assessment of epidemic risk state and its change trend of public hospital in underdeveloped area in different stages.Frontiers in public health · 2024Article
- Inferring country-specific import risk of diseases from the world air transportation network.PLoS computational biology · 2024Article
- Urban public health emergencies and the COVID-19 pandemic. Part 1: Social and spatial inequalities in the COVID-city.Urban studies (Edinburgh, Scotland) · 2023Article
- Airline strategies during the pandemic: What worked?Transportation research. Part A, Policy and practice · 2023Article
- A numerical study of COVID-19-laden droplets dispersion in aircraft cabin ventilation system.Heliyon · 2023Article
- COVID-19 public transit precautions: Trade-offs between risk reduction and costs.Transportation research interdisciplinary perspectives · 2023Article
- Review
- The impact of air travel on the precocity and severity of COVID-19 deaths in sub-national areas across 45 countries.Scientific reports · 2022Article
- The effects of air transport mobility and global connectivity on viral transmission: Lessons learned from Covid-19 and its variants.Transport policy · 2022Article
- Air transportation as a puzzle piece of COVID-19 in Africa?Research in transportation business & management · 2022Article
- Regional mobility during the Covid-19 pandemic: Analysis of trends and repercussions using mobile phones data across the EU.Case studies on transport policy · 2022Article
- Evaluation of different air distribution systems in a commercial airliner cabin in terms of comfort and COVID-19 infection risk.Building and environment · 2022Article
- Religion, social interactions, and COVID-19 incidence in Western Germany.European economic review · 2022Article
- Predictive analytics of COVID-19 cases and tourist arrivals in ASEAN based on covid-19 cases.Health and technology · 2022Article
- COVID-19 and bailout policy: The case of Virgin Australia.Transport policy · 2021Article
- COVID-19 impacts on general aviation - Comparative experiences, governmental responses and policy imperatives.Transport policy · 2021Article
- Influence of transportation network on transmission heterogeneity of COVID-19 in China.Transportation research. Part C, Emerging technologies · 2021Article
- COVID-19 pandemic and air transportation: Successfully navigating the paper hurricane.Journal of air transport management · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Air travel has a decisive role in the spread of infectious diseases at the global level. We present a methodology applied during the early stages of the COVID-19 pandemic that uses detailed aviation data at the final destination level in order to measure the risk of the disease spreading outside China. The approach proved to be successful in terms of identifying countries with a high risk of infected travellers and as a tool to monitor the evolution of the pandemic in different countries. The high number of undetected or asymptomatic cases of COVID-19, however, limits the capacity of the approach to model the full dynamics. As a result, the risk for countries with a low number of passengers from Hubei province appeared as low. Globalization and international aviation connectivity allow travel times that are much shorter than the incubation period of infectious diseases, a fact that raises the question of how to react in a potential new pandemic.
Indexed as
Identifiers
What OpenQuestion holds
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.