Evidence map›Paper›PMID 24830808›Full record

ArticlePloS one2014

A mixed method to evaluate burden of malaria due to flooding and waterlogging in Mengcheng County, China: a case study.

Guoyong Ding, Lu Gao, Xuewen Li, Maigeng Zhou, Qiyong Liu, Hongyan Ren, Baofa Jiang

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

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
2.9field-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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 36 citations in OpenAlex.

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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

7 authors at 5 institutions in 1 country.

Guoyong DingDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R.China; Department of Occupational and Environmental Health, School of Public Health, Taishan Medical College, Taian City, Shandong Province, P.R.China; Shandong University Climate Change and Health Center, Jinan City, Shandong Province, P.R.China.
Lu GaoDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R.China; Shandong University Climate Change and Health Center, Jinan City, Shandong Province, P.R.China.
Xuewen LiShandong University Climate Change and Health Center, Jinan City, Shandong Province, P.R.China; Department of Environment and Health, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R.China.
Maigeng ZhouNational Center for Chronic and Noncommunicable Disease Control and Prevention, China CDC, Beijing City, P.R.China.
Qiyong LiuShandong University Climate Change and Health Center, Jinan City, Shandong Province, P.R.China; State Key Laboratory for Infectious Diseases Prevention and Control, National Institute for Communicable Disease Control and Prevention, China CDC, Beijing City, P.R.China.
Hongyan RenState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing City, P.R.China.
Baofa JiangDepartment of Epidemiology and Health Statistics, School of Public Health, Shandong University, Jinan City, Shandong Province, P.R.China; Shandong University Climate Change and Health Center, Jinan City, Shandong Province, P.R.China.
Shandong University · CNChinese Academy of Sciences · CNNational Center for Chronic and Noncommunicable Disease Control and Prevention · CNNational Institute for Communicable Disease Control and Prevention · CNTaishan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMalaria is a highly climate-sensitive vector-borne infectious disease that still represents a significant public health problem in Huaihe River Basin. However, little comprehensive information about the burden of malaria caused by flooding and waterlogging is available from this region. This study aims to quantitatively assess the impact of flooding and waterlogging on the burden of malaria in a county of Anhui Province, China.

methodsA mixed method evaluation was conducted. A case-crossover study was firstly performed to evaluate the relationship between daily number of cases of malaria and flooding and waterlogging from May to October 2007 in Mengcheng County, China. Stratified Cox models were used to examine the lagged time and hazard ratios (HRs) of the risk of flooding and waterlogging on malaria. Years lived with disability (YLDs) of malaria attributable to flooding and waterlogging were then estimated based on the WHO framework of calculating potential impact fraction in the Global Burden of Disease study.

resultsA total of 3683 malaria were notified during the study period. The strongest effect was shown with a 25-day lag for flooding and a 7-day lag for waterlogging. Multivariable analysis showed that an increased risk of malaria was significantly associated with flooding alone [adjusted hazard ratio (AHR)  = 1.467, 95% CI = 1.257, 1.713], waterlogging alone (AHR = 1.879, 95% CI = 1.696, 2.121), and flooding and waterlogging together (AHR = 2.926, 95% CI = 2.576, 3.325). YLDs per 1000 of malaria attributable to flooding alone, waterlogging alone and flooding and waterlogging together were 0.009 per day, 0.019 per day and 0.022 per day, respectively.

conclusionFlooding and waterlogging can lead to higher burden of malaria in the study area. Public health action should be taken to avoid and control a potential risk of malaria epidemics after these two weather disasters.

Indexed as

Cost of IllnessFloodsAdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaClimateClimate ChangeCross-Over StudiesFemaleGeographyHumansIncidence

Identifiers

PMID24830808
PMCPMC4022516
OpenAlexW2104328821

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.