Evidence map›Paper›PMID 32540727›Full record

ArticleEpidemics2020

The effects of border control and quarantine measures on the spread of COVID-19.

M Pear Hossain, Alvin Junus, Xiaolin Zhu, Pengfei Jia, Tzai-Hung Wen, Dirk Pfeiffer, Hsiang-Yu Yuan

Abstract read
In one paragraph

Article in Epidemics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

45 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. How to avoid a local epidemic becoming a global pandemic.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  12. Article
  13. Nurse, Give Me the News! Understanding Support for and Opposition to a COVID-19 Health Screening System.International journal of environmental research and public health · 2023
    Article
  14. Article
  15. Borderland Economic Resilience under COVID-19: Evidence from China-Russia Border Regions.International journal of environmental research and public health · 2022
    Article
  16. Article
  17. Article
  18. Air transportation as a puzzle piece of COVID-19 in Africa?Research in transportation business & management · 2022
    Article
  19. Article
  20. Unequal impact and spatial aggregation distort COVID-19 growth rates.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

M Pear HossainDepartment of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong; Department of Statistics, Bangabandhu Sheikh Mujibur Rahman Science and Technology University, Bangladesh.
Alvin JunusDepartment of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong.
Xiaolin ZhuDepartment of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hong Kong.
Pengfei JiaAcademic Information Center, China Academy of Urban Planning and Design, Beijing, China.
Tzai-Hung WenDepartment of Geography, National Taiwan University, Taiwan.
Dirk PfeifferCentre for Applied One Health Research and Policy Advice, City University of Hong Kong, Hong Kong.
Hsiang-Yu YuanDepartment of Biomedical Sciences, Jockey Club College of Veterinary Medicine and Life Sciences, City University of Hong Kong, Hong Kong. Electronic address: sean.yuan@cityu.edu.hk.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The rapid expansion of coronavirus disease 2019 (COVID-19) has been observed in many parts of the world. Many newly reported cases of COVID-19 during early outbreak phases have been associated with travel history from an epidemic region (identified as imported cases). For those cases without travel history, the risk of wider spreads through community contact is even higher. However, most population models assume a homogeneous infected population without considering that the imported and secondary cases contracted by the imported cases can pose different risks to community spread. We have developed an "easy-to-use" mathematical framework extending from a meta-population model embedding city-to-city connections to stratify the dynamics of transmission waves caused by imported, secondary, and others from an outbreak source region when control measures are considered. Using the cumulative number of the secondary cases, we are able to determine the probability of community spread. Using the top 10 visiting cities from Wuhan in China as an example, we first demonstrated that the arrival time and the dynamics of the outbreaks at these cities can be successfully predicted under the reproduction number R

Indexed as

BetacoronavirusTravelChinaCommunicable Disease ControlCoronavirus InfectionsCOVID-19HumansIncidenceModels, StatisticalPandemicsPneumonia, ViralSARS-CoV-2Time Factors

Identifiers

PMID32540727
PMCPMC7274973

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.