Evidence map›Paper›PMID 33394450›Full record

ArticleEnvironmental science and pollution research international2021

Effect of temperature and its interactions with relative humidity and rainfall on malaria in a temperate city Suzhou, China.

Zhidong Liu, Shuzi Wang, Ying Zhang, Jianjun Xiang, Michael Xiaoliang Tong, Qi Gao, Yiwen Zhang, Shuyue Sun, Qiyong Liu, Baofa Jiang and 1 more

Abstract read
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In one paragraph

Article in Environmental science and pollution research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
4.9field-weighted citation impact, top 4% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 40 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

11 authors at 7 institutions in 2 countries.

Zhidong Liu *Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan City, Shandong Province, People's Republic of China.
Shuzi Wang *Shandong University Climate Change and Health Center, Jinan City, Shandong Province, People's Republic of China.
Ying ZhangSchool of Public Health, China Studies Centre, The University of Sydney, Sydney, New South Wales, Australia.
Jianjun XiangSchool of Public Health, Fujian Medical University, Fuzhou, People's Republic of China.
Michael Xiaoliang TongSchool of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
Qi GaoShandong University Climate Change and Health Center, Jinan City, Shandong Province, People's Republic of China.
Yiwen ZhangShandong University Climate Change and Health Center, Jinan City, Shandong Province, People's Republic of China.
Shuyue SunNational Meteorological Center, China Meteorological Administration, Beijing, People's Republic of China.
Qiyong LiuShandong University Climate Change and Health Center, Jinan City, Shandong Province, People's Republic of China.
Baofa JiangShandong University Climate Change and Health Center, Jinan City, Shandong Province, People's Republic of China. bjiang@sdu.edu.cn.
Peng BiSchool of Public Health, The University of Adelaide, Adelaide, South Australia, Australia.
Shandong University · CNUniversity of Adelaide · AUChina Meteorological Administration · CNFujian Medical University · CNNational Institute for Communicable Disease Control and Prevention · CNQilu Hospital of Shandong University · CNShandong Mental Health Center · CN

Funding

Ministry of Science and Technology of the People's Republic of China 2012CB955502Ministry of Science and Technology of the People's Republic of China 2017FY101202
6 · The paper itself

Abstract

Malaria is a climate-sensitive infectious disease. Many ecological studies have investigated the independent impacts of ambient temperature on malaria. However, the optimal temperature measures of malaria and its interaction with other meteorological factors on malaria transmission are less understood. This study aims to investigate the effect of ambient temperature and its interactions with relative humidity and rainfall on malaria in Suzhou, a temperate climate city in Anhui Province, China. Weekly malaria and meteorological data from 2005 to 2012 were obtained for Suzhou. A distributed lag nonlinear model was conducted to quantify the effect of different temperature measures on malaria. The best measure was defined as that with the minimum quasi-Akaike information criterion. GeoDetector and Poisson regression models were employed to quantify the interactions of temperature, relative humidity, and rainfall on malaria transmission. A total of 13,382 malaria cases were notified in Suzhou from 2005 to 2012. Each 5 °C rise in average temperature over 10 °C resulted in a 22% (95% CI: 17%, 28%) increase in malaria cases at lag of 4 weeks. In terms of cumulative effects from lag 1 to 8 weeks, each 5 °C increase over 10 °C caused a 175% growth in malaria cases (95% CI: 139%, 216%). Average temperature achieved the best performance in terms of model fitting, followed by minimum temperature, most frequent temperature, and maximum temperature. Temperature had an interactive effect on malaria with relative humidity and rainfall. High temperature together with high relative humidity and high rainfall could accelerate the transmission of malaria. Meteorological factors may affect malaria transmission interactively. The research findings could be helpful in the development of weather-based malaria early warning system, especially in the context of climate change for the prevention of possible malaria resurgence.

Indexed as

MalariaChinaCitiesHumansHumidityIncidenceTemperatureChinaDistributed lag nonlinear modelInteractionMalariaTemperature

Identifiers

PMID33394450
OpenAlexW3118666906

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.