Evidence map›Paper›PMID 28994741›Full record

ArticleInternational journal of environmental research and public health2017

Assessment of the Public Health Risks and Impact of a Tornado in Funing, China, 23 June 2016: A Retrospective Analysis.

Kaiwen Wang, Shuang Zhong, Xiaoye Wang, Zhe Wang, Lianping Yang, Qiong Wang, Suhan Wang, Rongrong Sheng, Rui Ma, Shao Lin and 3 more

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2017. 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

13 authors.

Kaiwen WangSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. wangkw6@mail2.sysu.edu.cn.
Shuang ZhongSchool of Government, Sun Yat-sen University, Guangzhou 510275, China. amigo-008@163.com.
Xiaoye WangPublic Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China. wangxy2@chinacdc.cn.
Zhe WangPublic Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China. wangzhe@chinacdc.cn.
Lianping YangSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. yanglp7@mail.sysu.edu.cn.
Qiong WangSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. wangqiong@mail.sysu.edu.cn.
Suhan WangSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. wangsuh@mail.sysu.edu.cn.
Rongrong ShengSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. shengrr@mail2.sysu.edu.cn.
Rui MaSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. marui6@mail2.sysu.edu.cn.
Shao LinSchool of Public Health, State University of New York at Albany, Albany, NY 12222, USA. slin@albany.edu.
Wenyu LiuFuning County's Center for Disease Control and Prevention, Yancheng 224400, China. mkaren614@hotmail.com.
Rongqiang ZuDepartment for Acute Infectious Disease Control, Jiangsu Provincial Center for Disease Control and Prevention, 172 Jiangsu Road, Gulou District, Nanjing 210009, China. cdczrq@163.com.
Cunrui HuangSchool of Public Health, Sun Yat-sen University, No. 74, 2nd Yat-Sen Road, Yuexiu District, Guangzhou 510080, China. huangcr@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Tornadoes are one of the deadliest disasters but their health impacts in China are poorly investigated. This study aimed to assess the public health risks and impact of an EF-4 tornado outbreak in Funing, China; (2) Methods: A retrospective analysis on the characteristics of tornado-related deaths and injuries was conducted based on the database from the Funing's Center for Disease Control and Prevention (CDC) and Funing People's Hospital. A change-point time-series analysis of weekly incidence for the period January 2010 to September 2016 was used to identify sensitive infectious diseases to the tornado; (3) Results: The 75 to 84 years old group was at the highest risk of both death (RR = 82.16; 95% CIs = 19.66, 343.33) and injury (RR = 31.80; 95% CI = 17.26, 58.61), and females were at 53% higher risk of death than males (RR = 1.53; 95% CIs = 1.02, 2.29). Of the 337 injuries, 274 injuries (81%) were minor. Most deaths occurred indoors (87%) and the head (74%) was the most frequent site of trauma during the tornado. Five diseases showed downward change-points; (4) Conclusions: The experience of the Funing tornado underscores the relative danger of being indoors during a tornado and is successful in avoiding epidemics post-tornado. Current international safety guidelines need modification when generalized to China.

Indexed as

DisastersTornadoesAdultChinaDisease OutbreaksFemaleHospitalsHumansIncidenceMaleRetrospective StudiesRisk Factorsdeath and injuryinfectious diseasenatural disasterpublic health impacttornado

Identifiers

PMID28994741
PMCPMC5664702

What OpenQuestion holds

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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.