Evidence map›Paper›PMID 33382758›Full record

ArticlePloS one2020

Spatiotemporal spread pattern of the COVID-19 cases in China.

Yongjiu Feng, Qingmei Li, Xiaohua Tong, Rong Wang, Shuting Zhai, Chen Gao, Zhenkun Lei, Shurui Chen, Yilun Zhou, Jiafeng Wang and 15 more

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 6 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

22 citing papers in PubMed, 6 syntheses or guidelines pooled it.

  1. Pooled it
  2. Retinal microvascular alterations in sickle cell disease: a systematic review and meta-analysis of OCTA findings based on genotype and stages of retinopathy.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Methods Used in the Spatial and Spatiotemporal Analysis of COVID-19 Epidemiology: A Systematic Review.International journal of environmental research and public health · 2022
    Pooled it
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Extensive SARS-CoV-2 testing reveals BA.1/BA.2 asymptomatic rates and underreporting in school children.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2023
    Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

25 authors.

Yongjiu FengCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.ORCID 0000-0001-8772-7218
Qingmei LiCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Xiaohua TongCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Rong WangCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Shuting ZhaiCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Chen GaoCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Zhenkun LeiCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Shurui ChenCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Yilun ZhouCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Jiafeng WangCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Xiongfeng YanCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Huan XieCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Peng ChenCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Shijie LiuCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Xiong XvCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Sicong LiuCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Yanmin JinCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Chao WangCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Zhonghua HongCollege of Marine Sciences, Shanghai Ocean University, Shanghai, China.
Kuifeng LuanCollege of Marine Sciences, Shanghai Ocean University, Shanghai, China.
Chao WeiCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Jinfu XuShanghai Pulmonary Hospital, Tongji University, Shanghai, China.
Hua JiangShanghai East Hospital, Tongji University, Shanghai, China.
Changjiang XiaoCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.
Yiyou GuoCollege of Surveying and Geo-Informatics, Tongji University, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic is currently spreading widely around the world, causing huge threats to public safety and global society. This study analyzes the spatiotemporal pattern of the COVID-19 pandemic in China, reveals China's epicenters of the pandemic through spatial clustering, and delineates the substantial effect of distance to Wuhan on the pandemic spread. The results show that the daily new COVID-19 cases mostly occurred in and around Wuhan before March 6, and then moved to the Grand Bay Area (Shenzhen, Hong Kong and Macau). The total COVID-19 cases in China were mainly distributed in the east of the Huhuanyong Line, where the epicenters accounted for more than 60% of the country's total in/on 24 January and 7 February, half in/on 31 January, and more than 70% from 14 February. The total cases finally stabilized at approximately 84,000, and the inflection point for Wuhan was on 14 February, one week later than those of Hubei (outside Wuhan) and China (outside Hubei). The generalized additive model-based analysis shows that population density and distance to provincial cities were significantly associated with the total number of the cases, while distances to prefecture cities and intercity traffic stations, and population inflow from Wuhan after 24 January, had no strong relationships with the total number of cases. The results and findings should provide valuable insights for understanding the changes in the COVID-19 transmission as well as implications for controlling the global COVID-19 pandemic spread.

Indexed as

Models, BiologicalPandemicsCitiesCOVID-19Hong KongHumansMacauSpatial Analysis

Identifiers

PMID33382758
PMCPMC7775067

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.