Evidence map›Paper›PMID 35646753›Full record

ArticleFrontiers in public health2022

Rural Post-Earthquake Resettlement Mode Choices: Empirical Case Studies of Sichuan, China.

Lei Zhao, Sifan Zhou, Jinglin Zhong, Yibin Ao, Yan Wang, Tong Wang, Yunfeng Chen

Abstract read
In one paragraph

Article in Frontiers in public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Lei ZhaoCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Sifan ZhouCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Jinglin ZhongCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Yibin AoCollege of Environment and Civil Engineering, Chengdu University of Technology, Chengdu, China.
Yan WangDepartment of Engineering Management, Sichuan College of Architectural Technology, Chengdu, China.
Tong WangFaculty of Architecture and the Built Environment, Delft University of Technology, Delft, Netherlands.
Yunfeng ChenSchool of Construction Management Technology, Purdue Polytechnic Institute, Purdue University, West Lafayette, IN, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Earthquakes occur frequently in rural areas of Sichuan, China, causing huge damage and high mortality. The built environment plays a significant role in providing residents with safe and resilient settlements in such areas. There is yet little research on how rural families in developing countries cope with geological disasters like earthquakes, and how built environmental factors would influence their resettlement choices which would directly affect their quality of life afterward. Urban planning activities should be accompanied by these insights to design and create human-centric resettlements accordingly. In this study, the resettlement choices after three major earthquakes in Sichuan were studied for this reason. Random sampling and face-to-face questionnaire surveys were combined with factor analysis and binary logistic regression to understand the resettlement modes desired by the residents and the influencing factors. The results show that residents who have lived in their current places long and whose houses were not built recently are more likely to choose the

Indexed as

DisastersEarthquakesChinaHumansQuality of LifeRural Populationbinary logistic regressionChangning earthquakefactor analysisinfluencing factorLushan earthquakepost-earthquake resettlement modeWenchuan earthquake

Identifiers

PMID35646753
PMCPMC9133731

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Registered trials

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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.