Evidence map›Paper›PMID 32290445›Full record

ArticleInternational journal of environmental research and public health2020

The Relationship between the Migrant Population's Migration Network and the Risk of COVID-19 Transmission in China-Empirical Analysis and Prediction in Prefecture-Level Cities.

Chenjing Fan, Tianmin Cai, Zhenyu Gai, Yuerong Wu

Abstract read
In one paragraph

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 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. The Number of Confirmed Cases of Covid-19 by using Machine Learning: Methods and Challenges.Archives of computational methods in engineering : state of the art reviews · 2021
    Article
  8. Article
  9. Article
  10. Modeling the Global Dynamic Contagion of COVID-19.Frontiers in public health · 2021
    Article
  11. Risk Assessment on Continued Public Health Threats: Evidence from China's Stock Market.International journal of environmental research and public health · 2020
    Article
  12. Article
  13. Article
  14. Article
  15. 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

4 authors.

Chenjing FanCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Tianmin CaiDepartment of Health Care & Medical Technology, Nanjing Benq Medical Center, Nanjing 210037, China.
Zhenyu GaiCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.
Yuerong WuCollege of Landscape Architecture, Nanjing Forestry University, Nanjing 210037, China.

Funding

Youth Program of National Natural Science Foundation of China 51908309
6 · The paper itself

Abstract

The outbreak of COVID-19 in China has attracted wide attention from all over the world. The impact of COVID-19 has been significant, raising concerns regarding public health risks in China and worldwide. Migration may be the primary reason for the long-distance transmission of the disease. In this study, the following analyses were performed. (1) Using the data from the China migrant population survey in 2017 (Sample size = 432,907), a matrix of the residence-birthplace (R-B matrix) of migrant populations is constructed. The matrix was used to analyze the confirmed cases of COVID-19 at Prefecture-level Cities from February 1-15, 2020 after the outbreak in Wuhan, by calculating the probability of influx or outflow migration. We obtain a satisfactory regression analysis result (

Indexed as

PandemicsPopulation DynamicsTransients and MigrantsBetacoronavirusChinaCitiesCoronavirus InfectionsCOVID-19Disease OutbreaksDisease Transmission, InfectiousEpidemicsHumansModels, BiologicalPneumonia, ViralPopulation SurveillanceRisk FactorsChinaCOVID-19 transmissionemerging epidemicmigrant populationmigration networkSpring Festival travel rush

Identifiers

PMID32290445
PMCPMC7215340

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.