Evidence map›Paper›PMID 29642902›Full record

ArticleBMC public health2018

The public health emergency management system in China: trends from 2002 to 2012.

Mei Sun, Ningze Xu, Chengyue Li, Dan Wu, Jiatong Zou, Ying Wang, Li Luo, Mingzhu Yu, Yu Zhang, Hua Wang and 11 more

Abstract read
In one paragraph

Article in BMC public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  16. Comprehensive Risk Assessment of Schistosomiasis Epidemic Based on Precise Identification ofInternational journal of environmental research and public health · 2021
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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

21 authors.

Mei SunResearch Institute of Health Development Strategies & Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 177 box, 130 Dong'an Road, Shanghai, 200032, China.
Ningze XuKey Lab of Health Technology Assessment, National Health Commission of the People's Republic of China (Fudan University), School of Public Health, Fudan University, Shanghai, China.
Chengyue LiResearch Institute of Health Development Strategies & Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 177 box, 130 Dong'an Road, Shanghai, 200032, China.
Dan WuShanghai Health Education Institution, Shanghai, China.
Jiatong ZouResearch Institute of Health Development Strategies & Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 177 box, 130 Dong'an Road, Shanghai, 200032, China.
Ying WangResearch Institute of Health Development Strategies & Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 177 box, 130 Dong'an Road, Shanghai, 200032, China.
Li LuoResearch Institute of Health Development Strategies & Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 177 box, 130 Dong'an Road, Shanghai, 200032, China.
Mingzhu YuBureau of Disease Control and Prevention of National Health Commission of the People's Republic of China, Beijing, China.
Yu ZhangHealth and Family Planning Commission of Hubei Province, Wuhan, China.
Hua WangHealth and Family Planning Commission of Jiangsu Province, Nanjing, China.
Peiwu ShiZhejiang Academy of Medical Sciences, Hangzhou, China.
Zheng ChenNational Grassroots Health Prevention Group, Shanghai, China.
Jian WangChinese Center for Disease Control and Prevention, Beijing, China.
Yueliang LuJiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
Qi LiHebei Provincial Center for Disease Control and Prevention, Shijiazhuang, China.
Xinhua WangGansu Provincial Center for Disease Control and Prevention, Lanzhou, China.
Zhenqiang BiShandong Provincial Center for Disease Control and Prevention, Jinan, China.
Ming FanJilin Provincial Center for Disease Control and Prevention, Changchun, China.
Liping FuXinjiang Provincial Center for Disease Control and Prevention, Urumqi, China.
Jingjin YuBureau of Disease Control and Prevention of National Health Commission of the People's Republic of China, Beijing, China.
Mo HaoResearch Institute of Health Development Strategies & Collaborative Innovation Center of Social Risks Governance in Health, Fudan University, 177 box, 130 Dong'an Road, Shanghai, 200032, China. haomo03@fudan.edu.cn.

Funding

Changjiang Scholar Program of Chinese Ministry of Education (CN) IRT0912Changjiang Scholar Program of Chinese Ministry of Education (CN) IRT_13R11National Natural Science Foundation of China 71003025National Natural Science Foundation of China 71303058National Natural Science Foundation of China 71373004National Science Foundation for Distinguished Young Scholars of China 79925002Specialized Research Fund for the Doctoral Program of Higher Education from Ministry of Education of China 20120071110055the Fourth Round of Three-Year Pubic Health Action Plan in Shanghai (2015-2017) GWIV-32the Fundamental Research Funds for the Central Universities 20520163035the Program of National Social Science Fund of China 13AZD081
6 · The paper itself

Abstract

backgroundPublic health emergencies have challenged the public health emergency management systems (PHEMSs) of many countries critically and frequently since this century. As the world's most populated country and the second biggest economy in the world, China used to have a fragile PHEMS; however, the government took forceful actions to build PHEMS after the 2003 SARS outbreak. After more than one decade's efforts, we tried to assess the improvements and problems of China's PHEMS between 2002 and 2012.

methodsWe conducted two rounds of national surveys and collected the data of the year 2002 and 2012, including all 32 provincial, 139 municipal, and 489 county CDCs. The municipal and county CDCs were selected by systematic random sampling. Twenty-one indicators of four stages (preparation, readiness, response and recovery) from the National Assessment Criteria for CDC Performance were chosen to assess the ten-year trends.

resultsAt the preparation stage, organization, mechanisms, workforce, and stockpile across all levels and regions were significantly improved after one decade's efforts. At the readiness stage, the capability for formulating an emergency plan was also significantly improved during the same period. At the response stage, internet-based direct reporting was 98.8%, and coping scores were nearly full points of ten in 2012. At the recovery stage, the capabilities were generally lower than expected.

conclusionsDue to forceful leadership, sounder regulations, and intensive resources, China's PHEMS has been improved at the preparation, readiness, and response stages; however, the recovery stage was still weak and could not meet the requirements of crisis management and preventive governance. In addition, CDCs in the Western region and counties lagged behind in performance on most indicators. Future priorities should include developing the recovery stage, establishing a closed feedback loop, and strengthening the capabilities of CDCs in Western region and counties.

Indexed as

EmergenciesPublic HealthChinaDisease OutbreaksHumansPublic Health AdministrationChinaPreparationPublic health emergency management systemReadinessRecoveryResponseTrend

Identifiers

PMID29642902
PMCPMC5896068

What OpenQuestion holds

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LicenceCC BY
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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.