Evidence map›Paper›PMID 31372321›Full record

ArticlePeerJ2019

Epidemiological analysis of respiratory and intestinal infectious diseases in three counties of Sichuan: the baseline survey of Disaster Mitigation Demonstration Area in western China.

Zhiqiang Xue, Zhenbo Yang, Hui Sun, Jinghuan Ren, Mengzi Sun, Jiagen Li, Anning Zhang, Pingping Zheng, Pan Pan, Jing Dou and 9 more

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

Article in PeerJ, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

19 authors at 2 institutions in 1 country.

Zhiqiang XueEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Zhenbo YangUNICEF Office for China, BeiJing, China.
Hui SunUNICEF Office for China, BeiJing, China.
Jinghuan RenChinese Center for Disease Control and Prevention, BeiJing, China.
Mengzi SunEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jiagen LiEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Anning ZhangEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Pingping ZhengEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Pan PanEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jing DouEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Li ShenEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yang ChenEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Kexin LiEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Tianyu FengEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Yaogai LvEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Chunli BiEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Lina JinEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Zhe WangChinese Center for Disease Control and Prevention, BeiJing, China.
Yan YaoEpidemiology and Biostatistics, School of Public Health, Jilin University, Changchun, China.
Jilin University · CNChinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNatural disasters can indirectly induce epidemics of infectious diseases through air and water pollution, accelerated pathogen reproduction, and population migration. This study aimed to explore the epidemiological characteristics of the main infectious diseases in Sichuan, a province with a high frequency of natural disasters.

methodsData were collected from the local Centers for Disease Control infectious disease reports from Lu, Shifang and Yuexi counties from 2011 to 2015 and from the baseline survey of the Disaster Mitigation Demonstration Area in Western China in 2016. Principal component regression was used to explore the main influencing factors of respiratory infectious diseases (RIDs).

resultsThe incidence rates of RIDs and intestinal infectious diseases (IIDs) in 2015 were 78.99/100,000, 125.53/100,000, 190.32/100,000 and 51.70/100,000, 206.00/100,000, 69.16/100,000 in Lu, Shifang and Yuexi respectively. The incidence rates of pulmonary tuberculosis (TB) was the highest among RIDs in the three counties. The main IIDs in Lu and Shifang were hand-foot-mouth disease (HFMD) and other infectious diarrhea; however, the main IIDs in Yuexi was bacillary dysentery. The proportions of illiterate and ethnic minorities and per capita disposable income were the top three influencing factors of RIDs.

conclusionsTB was the key point of RIDs prevention among the three counties. The key preventable IIDs in Lu and Shifang were HFMD and other infectious diarrhea, and bacillary dysentery was the major IIDs in Yuexi. The incidence rates of RIDs was associated with the population composition, the economy and personal hygiene habits.

Indexed as

Distribution characteristicsInfluencing factorsIntestinal infectious diseasesPrincipal component regressionRespiratory infectious diseases

Identifiers

PMID31372321
PMCPMC6659668
OpenAlexW2963035962

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.