Evidence map›Paper›PMID 26903612›Full record

ArticleThe American journal of tropical medicine and hygiene2016

Identifying Flood-Related Infectious Diseases in Anhui Province, China: A Spatial and Temporal Analysis.

Lu Gao, Ying Zhang, Guoyong Ding, Qiyong Liu, Baofa Jiang

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

Article in The American journal of tropical medicine and hygiene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 5 pooled it
3.3field-weighted citation impact, top 9% 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

16 citing papers in PubMed, 5 syntheses or guidelines pooled it, 43 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Impact of climate change on emerging infectious diseases: Implications for Canada.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2019
    Article
  14. Infectious Diseases After Hydrologic Disasters.Emergency medicine clinics of North America · 2018
    Review
  15. Article
  16. Microbial Risk Assessment of Tidal-Induced Urban Flooding in Can Tho City (Mekong Delta, Vietnam).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

5 authors at 1 institution in 1 country.

Lu GaoDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China.
Ying ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China.
Guoyong DingDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China.
Qiyong LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China.
Baofa JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Shandong Province, People's Republic of China; School of Public Health, China Studies Centre, The University of Sydney, New South Wales, Australia; School of Public Health, Center for Climate Change and Health, Shandong University, Shandong Province, People's Republic of China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Shandong Province, People's Republic of China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China Centers for Disease Control and Prevention, Beijing City, People's Republic of China bjiang@sdu.edu.cn.
Shandong Center for Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim of this study was to explore infectious diseases related to the 2007 Huai River flood in Anhui Province, China. The study was based on the notified incidences of infectious diseases between June 29 and July 25 from 2004 to 2011. Daily incidences of notified diseases in 2007 were compared with the corresponding daily incidences during the same period in the other years (from 2004 to 2011, except 2007) by Poisson regression analysis. Spatial autocorrelation analysis was used to test the distribution pattern of the diseases. Spatial regression models were then performed to examine the association between the incidence of each disease and flood, considering lag effects and other confounders. After controlling the other meteorological and socioeconomic factors, malaria (odds ratio [OR] = 3.67, 95% confidence interval [CI] = 1.77-7.61), diarrhea (OR = 2.16, 95% CI = 1.24-3.78), and hepatitis A virus (HAV) infection (OR = 6.11, 95% CI = 1.04-35.84) were significantly related to the 2007 Huai River flood both from the spatial and temporal analyses. Special attention should be given to develop public health preparation and interventions with a focus on malaria, diarrhea, and HAV infection, in the study region.

Indexed as

DisastersFloodsChinaCommunicable DiseasesDiarrheaDysentery, BacillaryHumansIncidenceMalariaModels, StatisticalPoisson DistributionRegression AnalysisSpatio-Temporal AnalysisWeather

Identifiers

PMID26903612
PMCPMC4824213
OpenAlexW2296910534

What OpenQuestion holds

Textmetadata
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.