Evidence map›Paper›PMID 36064333›Full record

SynthesisBMC infectious diseases2022

Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review.

Junyao Zheng, Guoquan Shen, Siqi Hu, Xinxin Han, Siyu Zhu, Jinlin Liu, Rongxin He, Ning Zhang, Chih-Wei Hsieh, Hao Xue and 4 more

Open access · goldAbstract readSystematic Review
PubMed Full text at PMC Publisher
In one paragraph

Synthesis in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.5field-weighted citation impact, top 40% of its field
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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. 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

14 authors at 11 institutions in 4 countries.

Junyao ZhengChina Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai, China.
Guoquan ShenSchool of Public Administration and Policy, Renmin University of China, Beijing, China.
Siqi HuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Xinxin HanSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China.
Siyu ZhuSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Jinlin LiuSchool of Public Policy and Administration, Northwestern Polytechnical University, Xi'an, China.
Rongxin HeVanke School of Public Health, Tsinghua University, Beijing, China.
Ning ZhangSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Chih-Wei HsiehDepartment of Public Policy, City University of Hong Kong, Hong Kong, China.
Hao XueFreeman Spogli Institute for International Studies, Stanford University, Stanford, CA, USA.
Bo ZhangDepartment of Earth System Science, Tsinghua University, Beijing, China.
Yue ShenLaboratory for Urban Future, School of Urban Planning and Design, Peking University Shenzhen Graduate School, Shenzhen, China.
Ying MaoSchool of Public Policy and Administration, Xi'an Jiaotong University, Xi'an, China.
Bin ZhuSchool of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, Guangdong, China. zhub6@sustech.edu.cn.
Xi'an Jiaotong University · CNSouthern University of Science and Technology · CNCity University of Hong Kong · HKImperial College London · GBNorthwestern Polytechnical University · CNPeking University · CNRenmin University of China · CNShanghai Jiao Tong University · CNStanford University · USTsinghua University · CNVanke (China) · CN

Funding

Major Project of Philosophy and Social Sciences of China 17ZDA079Shenzhen Philosophy and Social Science Project SZ2021C017
6 · The paper itself

Abstract

backgroundThe prevalence of infectious diseases remains one of the major challenges faced by the Chinese health sector. Policymakers have a tremendous interest in investigating the spatiotemporal epidemiology of infectious diseases. We aimed to review the small-scale (city level, county level, or below) spatiotemporal epidemiology of notifiable infectious diseases in China through a systematic review, thus summarizing the evidence to facilitate more effective prevention and control of the diseases.

methodsWe searched four English language databases (PubMed, EMBASE, Cochrane Library, and Web of Science) and three Chinese databases (CNKI, WanFang, and SinoMed), for studies published between January 1, 2004 (the year in which China's Internet-based disease reporting system was established) and December 31, 2021. Eligible works were small-scale spatial or spatiotemporal studies focusing on at least one notifiable infectious disease, with the entire territory of mainland China as the study area. Two independent reviewers completed the review process based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines.

resultsA total of 18,195 articles were identified, with 71 eligible for inclusion, focusing on 22 diseases. Thirty-one studies (43.66%) were analyzed using city-level data, 34 (47.89%) were analyzed using county-level data, and six (8.45%) used community or individual data. Approximately four-fifths (80.28%) of the studies visualized incidence using rate maps. Of these, 76.06% employed various spatial clustering methods to explore the spatial variations in the burden, with Moran's I statistic being the most common. Of the studies, 40.85% explored risk factors, in which the geographically weighted regression model was the most commonly used method. Climate, socioeconomic factors, and population density were the three most considered factors.

conclusionsSmall-scale spatiotemporal epidemiology has been applied in studies on notifiable infectious diseases in China, involving spatiotemporal distribution and risk factors. Health authorities should improve prevention strategies and clarify the direction of future work in the field of infectious disease research in China.

Indexed as

Communicable DiseasesChinaHumansIncidencePrevalenceRisk FactorsChinaGeographical scaleNotifiable infectious diseasesSpatial epidemiologySpatiotemporal epidemiology

Identifiers

PMID36064333
PMCPMC9442567
OpenAlexW4294613170

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.