Evidence map›Paper›PMID 32422948›Full record

ArticleInternational journal of environmental research and public health2020

Distribution of COVID-19 Morbidity Rate in Association with Social and Economic Factors in Wuhan, China: Implications for Urban Development.

Heyuan You, Xi Wu, Xuxu Guo

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 56 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
56citing papers in PubMed, 3 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

56 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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
  3. Pooled it
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  8. Monoclonal neutralizing antibodies against SARS-COV-2 S protein.American journal of translational research · 2024
    Article
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  13. Review
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  20. COVID-19, green space exposure, and mask mandates.The Science of the total environment · 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

3 authors.

Heyuan YouSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Xi WuSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China.
Xuxu GuoSchool of Public Administration, Zhejiang University of Finance and Economics, Hangzhou 310018, China.

Funding

National Natural Science Foundation of China 71874151Social Science Foundation of Ministry of Education of China 18YJA630134Zhejiang Provincial Natural Science Foundation of China LY18G030031
6 · The paper itself

Abstract

Social and economic factors relate to the prevention and control of infectious diseases. The purpose of this paper was to assess the distribution of COVID-19 morbidity rate in association with social and economic factors and discuss the implications for urban development that help to control infectious diseases. This study was a cross-sectional study. In this study, social and economic factors were classified into three dimensions: built environment, economic activities, and public service status. The method applied in this study was the spatial regression analysis. In the 13 districts in Wuhan, the spatial regression analysis was applied. The results showed that: 1) increasing population density, construction land area proportion, value-added of tertiary industry per unit of land area, total retail sales of consumer goods per unit of land area, public green space density, aged population density were associated with an increased COVID-19 morbidity rate due to the positive characteristics of estimated coefficients of these variables. 2) increasing average building scale, GDP per unit of land area, and hospital density were associated with a decreased COVID-19 morbidity rate due to the negative characteristics of estimated coefficients of these variables. It was concluded that it is possible to control infectious diseases, such as COVID-19, by adjusting social and economic factors. We should guide urban development to improve human health.

Indexed as

Built EnvironmentCoronavirusEconomic DevelopmentPandemicsPopulation DensityUrban RenewalBetacoronavirusChinaConservation of Natural ResourcesCoronavirus InfectionsCOVID-19Cross-Sectional StudiesEnvironmentHumansIndustryMorbidityCOVID-19morbidity ratesocial and economic factorsspatial regression analysisWuhan city

Identifiers

PMID32422948
PMCPMC7277377

What OpenQuestion holds

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LicenceCC BY
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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.