Evidence map›Paper›PMID 37362004›Full record

ArticleUrban climate2023

Nighttime light perspective in urban resilience assessment and spatiotemporal impact of COVID-19 from January to June 2022 in mainland China.

Yaohui Liu, Wenyi Liu, Xinyu Zhang, Yu Lin, Guoqiang Zheng, Zhan Zhao, Hao Cheng, Lutz Gross, Xiaoli Li, Benyong Wei and 1 more

Abstract read
In one paragraph

Article in Urban climate, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

11 authors.

Yaohui LiuSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Wenyi LiuSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Xinyu ZhangSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Yu LinSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Guoqiang ZhengSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Zhan ZhaoSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.
Hao ChengSchool of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China.
Lutz GrossSchool of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4072, Australia.
Xiaoli LiChina Earthquake Networks Center, Beijing 100045, China.
Benyong WeiInstitute of Geology, China Earthquake Administration, Beijing 100029, China.
Fei SuSchool of Surveying and Geo-Informatics, Shandong Jianzhu University, Jinan 250101, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outbreak of the coronavirus disease 2019 (COVID-19) epidemic has resulted in large threats and damage to society and the economy. In this study, we evaluate and verify the comprehensive resilience and spatiotemporal impact of the COVID-19 epidemic from January to June 2022 in mainland China based on multisource data. First, we adopt a combination of the mandatory determination method and the coefficient of variation method to determine the weight of the urban resilience assessment index. Furthermore, Beijing, Shanghai, and Tianjin were selected to verify the feasibility and accuracy of the resilience assessment results based on the nighttime light data. Finally, the epidemic situation was dynamically monitored and verified with population migration data. The results show that urban comprehensive resilience of mainland China is shown in the distribution pattern of higher resilience in the middle east and south and lower resilience in the northwest and northeast. Moreover, the average light intensity index is inversely proportional to the number of newly confirmed and treated cases of COVID-19 in the local area. This study provides a scientific reference to improve the comprehensive resilience of cities to achieve the goals of sustainable development (SDGs 11): make cities and human settlements resilient and sustainable.

Indexed as

COVID-19Mainland ChinaMoran's I statisticsNPP-VIIRS nighttime light dataRemote sensingUrban resilience

Identifiers

PMID37362004
PMCPMC10284457

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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.