ArticleFrontiers in medicine2020
Evaluation of the Secondary Transmission Pattern and Epidemic Prediction of COVID-19 in the Four Metropolitan Areas of China.
Article in Frontiers in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 4 of them syntheses that pooled it.
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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.
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Who cites it
22 citing papers in PubMed, 4 syntheses or guidelines pooled it, 42 citations in OpenAlex.
- Evidence of the effectiveness of travel-related measures during the early phase of the COVID-19 pandemic: a rapid systematic review.BMJ global health · 2021Pooled it
- The COVID-19 research landscape: Measuring topics and collaborations using scientific literature.Medicine · 2020Pooled it
- Quarantine alone or in combination with other public health measures to control COVID-19: a rapid review.The Cochrane database of systematic reviews · 2020Pooled it
- Impact of temperature on the dynamics of the COVID-19 outbreak in China.The Science of the total environment · 2020Pooled it
- Measuring the worldwide spread of COVID-19 using a comprehensive modeling method.BMC medical informatics and decision making · 2023Article
- Spatial and Temporal Analysis of COVID-19 Cases in West Java, Indonesia and Its Influencing Factors.International journal of environmental research and public health · 2023Article
- Lessons Learned from the Lessons Learned in Public Health during the First Years of COVID-19 Pandemic.International journal of environmental research and public health · 2023Review
- The SARS-COV-2 Seroprevalence among Oncology Patients.Journal of clinical medicine · 2023Article
- Spatial clustering behaviour of Covid-19 conditioned by the development level: Case study for the administrative units in Romania.Spatial statistics · 2022Article
- Transmission dynamics model and the coronavirus disease 2019 epidemic: applications and challenges.Medical review (2021) · 2022Review
- A compartmental model that predicts the effect of social distancing and vaccination on controlling COVID-19.Scientific reports · 2021Article
- Article
- Built environment and early infection of COVID-19 in urban districts: A case study of Huangzhou.Sustainable cities and society · 2021Article
- Modeling the Global Dynamic Contagion of COVID-19.Frontiers in public health · 2021Article
- Facilitating Understanding, Modeling and Simulation of Infectious Disease Epidemics in the Age of COVID-19.Frontiers in public health · 2021Article
- Epidemiological Characteristics and Transmissibility for SARS-CoV-2 of Population Level and Cluster Level in a Chinese City.Frontiers in public health · 2021Article
- Spatial analysis and GIS in the study of COVID-19. A review.The Science of the total environment · 2020Review
- Space-Time Patterns, Change, and Propagation of COVID-19 Risk Relative to the Intervention Scenarios in Bangladesh.International journal of environmental research and public health · 2020Article
- Modelling SARS-COV2 Spread in London: Approaches to Lift the Lockdown.The Journal of infection · 2020Article
- Article
Corrections and comments
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Authors and funding
11 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding the transmission dynamics of COVID-19 is crucial for evaluating its spread pattern, especially in metropolitan areas of China, as its spread could lead to secondary outbreaks. In addition, the experiences gained and lessons learned from China have the potential to provide evidence to support other metropolitan areas and large cities outside China with their emerging cases. We used data reported from January 24, 2020, to February 23, 2020, to fit a model of infection, estimate the likely number of infections in four high-risk metropolitan areas based on the number of cases reported, and increase the understanding of the COVID-19 spread pattern. Considering the effect of the official quarantine regulations and travel restrictions for China, which began January 23~24, 2020, we used the daily travel intensity index from the Baidu Maps app to roughly simulate the level of restrictions and estimate the proportion of the quarantined population. A group of SEIR model statistical parameters were estimated using Markov chain Monte Carlo (MCMC) methods and fitting on the basis of reported data. As a result, we estimated that the basic reproductive number,
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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.