Evidence map›Paper›PMID 26106882›Full record

ArticlePloS one2015

Impacts of different grades of tropical cyclones on infectious diarrhea in Guangdong, 2005-2011.

Ruihua Kang, Huanmiao Xun, Ying Zhang, Wei Wang, Xin Wang, Baofa Jiang, Wei Ma

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 26% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 25 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Observational
  5. Review
  6. Review
  7. Article
  8. Health impacts of climate change on smallholder farmers.One health (Amsterdam, Netherlands) · 2021
    Review
  9. Article
  10. Review
  11. Infectious Diseases and Tropical Cyclones in Southeast China.International journal of environmental research and public health · 2017
    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

7 authors at 2 institutions in 2 countries.

Ruihua KangDepartment of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China.
Huanmiao XunDepartment of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China; Shandong University Climate Change and Health Center, Jinan, Shandong, People's Republic of China.
Ying ZhangSchool of Public Health, University of Sydney, Sydney, Australia.
Wei WangDepartment of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China.
Xin WangDepartment of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China.
Baofa JiangDepartment of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China; Shandong University Climate Change and Health Center, Jinan, Shandong, People's Republic of China.
Wei MaDepartment of Epidemiology, School of Public Health, Shandong University, Jinan, Shandong, People's Republic of China; Shandong University Climate Change and Health Center, Jinan, Shandong, People's Republic of China.
Shandong University · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveGuangdong province is one of the most vulnerable provinces to tropical cyclones in China. Most prior studies concentrated on the relationship between tropical cyclones and injuries and mortality. This study aimed to explore the impacts of different grades of tropical cyclones on infectious diarrhea incidence in Guangdong province, from 2005 to 2011.

methodsMann-Whitney U test was firstly used to examine if infectious diarrhea were sensitive to tropical cyclone. Then unidirectional 1:1 case-crossover design was performed to quantitatively evaluate the relationship between daily number of infectious diarrhea and tropical cyclone from 2005 to 2011 in Guangdong, China. Principal component analysis (PCA) was applied to eliminate multicollinearity. Multivariate logistic regression model was used to estimate the hazard ratios (HRs) and the 95% confidence intervals (CI).

resultsThere were no significant relationships between tropical cyclone and bacillary dysentery, amebic dysentery, typhoid, and paratyphoid cases. Infectious diarrhea other than cholera, dysentery, typhoid and paratyphoid significantly increased after tropical cyclones. The strongest effect were shown on lag 1 day (HRs = 1.95, 95%CI = 1.22, 3.12) and no lagged effect was detected for tropical depression, tropical storm, severe tropical storm and typhoon, with the largest HRs (95%CI) of 2.16 (95%CI = 1.69, 2.76), 2.43 (95%CI = 1.65, 3.58) and 2.21 (95%CI = 1.65, 2.69), respectively. Among children below 5 years old, the impacts of all grades of tropical cyclones were strongest at lag 0 day. And HRs were 2.67 (95%CI = 1.10, 6.48), 2.49 (95%CI = 1.80, 3.44), 4.89 (95%CI = 2.37, 7.37) and 3.18 (95%CI = 2.10, 4.81), respectively.

conclusionAll grades of tropical cyclones could increase risk of other infectious diarrhea. Severe tropical storm has the strongest influence on other infectious diarrhea. The impacts of tropical cyclones on children under 5 years old were higher than total population.

Indexed as

Child, PreschoolChinaCross-Over StudiesCyclonic StormsDiarrheaDysentery, AmebicDysentery, BacillaryFemaleGeographyHumansIncidenceInfantInfant, NewbornMaleMultivariate AnalysisPrincipal Component Analysis

Identifiers

PMID26106882
PMCPMC4479563
OpenAlexW848887934

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.