Evidence map›Paper›PMID 29039284›Full record

ArticleEpidemiology and infection2017

The association between diurnal temperature range and childhood hand, foot, and mouth disease: a distributed lag non-linear analysis.

Fei Yin, Yue Ma, Xing Zhao, Qiang Lv, Yaqiong Liu, Tao Zhang, Xiaosong Li

Abstract read
In one paragraph

Article in Epidemiology and infection, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

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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.

Fei YinWest China School of Public Health,Sichuan University,Chengdu,Sichuan,People's Republic of China.
Yue MaWest China School of Public Health,Sichuan University,Chengdu,Sichuan,People's Republic of China.
Xing ZhaoWest China School of Public Health,Sichuan University,Chengdu,Sichuan,People's Republic of China.
Qiang LvSichuan Center for Disease Control and Prevention,Chengdu,Sichuan,People's Republic of China.
Yaqiong LiuSichuan Center for Disease Control and Prevention,Chengdu,Sichuan,People's Republic of China.
Tao ZhangWest China School of Public Health,Sichuan University,Chengdu,Sichuan,People's Republic of China.
Xiaosong LiWest China School of Public Health,Sichuan University,Chengdu,Sichuan,People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In recent years, hand, foot, and mouth disease (HFMD) has been increasingly recognized as a critical challenge to disease control and prevention in China. Previous studies have found that meteorological factors such as mean temperature and relative humidity were associated with HFMD. However, little is known about whether the diurnal temperature range (DTR) has any impact on HFMD. This study aimed to quantify the impact of DTR on childhood HFMD in 18 cities in Sichuan Province. A distributed lag non-linear model was adopted to explore the temporal lagged association of daily temperature with age-, gender- and pathogen-specific HFMD. A total of 290 123 HFMD cases aged 0-14 years were reported in the 18 cities in Sichuan Province. The DTR-HFMD relationships were non-linear in all subgroups. Children aged 6-14 years and male children were more vulnerable to the temperature changes. Large DTR had the higher risk estimates of HFMD incidence in cases of EV71 infection, while small DTR had the higher risk estimates of HFMD incidence in cases of CV-A16 infection. Our study suggested that DTR played an important role in the transmission of HFMD with non-linear and delayed effects.

Indexed as

AdolescentAge FactorsChildChild, PreschoolChinaFemaleHand, Foot and Mouth DiseaseHumansInfantInfant, NewbornLinear ModelsMaleRisk FactorsSex FactorsTemperatureFoot and mouth diseasehand

Identifiers

PMID29039284
PMCPMC9148739

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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.