Evidence map›Paper›PMID 29734606›Full record

ArticleThe Science of the total environment2018

Meteorological factors and the incidence of mumps in Fujian Province, China, 2005-2013: Non-linear effects.

Wenqi Hu, Yuying Li, Weixiao Han, Li Xue, Wenchao Zhang, Wei Ma, Peng Bi

Open access · bronzeAbstract read
In one paragraph

Article in The Science of the total environment, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

29 citing papers in PubMed, 1 synthesis or guideline pooled it, 54 citations in OpenAlex.

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  12. Association between Meteorological Factors and Mumps and Models for Prediction in Chongqing, China.International journal of environmental research and public health · 2022
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  14. Effects of temperature and PMEnvironmental science and pollution research international · 2022
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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 2 institutions in 2 countries.

Wenqi HuDepartment of Epidemiology, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China.
Yuying LiDepartment of Epidemiology, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China.
Weixiao HanDepartment of Epidemiology, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China.
Li XueDepartment of Epidemiology, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China.
Wenchao ZhangDepartment of Epidemiology, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China.
Wei MaDepartment of Epidemiology, School of Public Health, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China; Climate Change and Health Center, Shandong University, 44 West Wenhua Road, Jinan, Shandong 250012, PR China. Electronic address: weima@sdu.edu.cn.
Peng BiSchool of Public Health, The University of Adelaide, Level 8, Hughes Building, North Terrace Campus, Adelaide, SA 5005, Australia. Electronic address: peng.bi@adelaide.edu.au.
Shandong University · CNThe University of Adelaide · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMumps is still an important public health issue in the world with several recent outbreaks. The seasonable distribution of the disease suggested that meteorological factors may influence the incidence of mumps. The aim of this study was to explore the possible association between meteorological factors and the incidence of mumps, and to provide scientific evidence to relevant health authorities for the disease control and prevention.

methodsWe obtained the data of mumps cases and daily meteorological factors in Fujian Province in Eastern China over the period of 2005-2013. Using distributed lag non-linear model (DLNM) approach, we assessed the relationship between the meteorological factors and mumps incidence.

resultsThe effects of meteorological factors on the mumps incidence were all non-linear. Compared with the lowest risk values, the upper level of precipitation, atmospheric pressure and relative humidity could increase the risk of mumps, whereas the low level of wind velocity, temperature, diurnal temperature range and sunshine duration may also increase the risk. Moderate atmospheric pressure and low wind velocity had larger cumulative effects within 30lagdays and the relative risks were 10.02 (95%CI: 2.47-40.71) and 12.45 (95%CI: 1.40-110.78). For temperature, the cumulative effect within 30lagdays of minimum temperature was higher than that from maximum temperature in most populations. The cumulative effects of minimum temperature for males, children aged 10-14 and students were higher than those in other populations.

conclusionsMeteorological factors, especially temperature and wind velocity, should be taken into consideration in the prevention and warning of possible mumps epidemic. Special attention should be paid to the vulnerable populations, such as teenagers and young adults.

Indexed as

Meteorological ConceptsChinaEnvironmental ExposureHumansIncidenceMaleMumpsPublic HealthRiskSeasonsTemperatureWindDistributed lag non-linear modelMeteorological factorMumpsTemperature

Identifiers

PMID29734606
PMCPMC7112015
OpenAlexW2770292103

What OpenQuestion holds

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Registered trials

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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.