Evidence map›Paper›PMID 29681142›Full record

ArticleEnvironmental health perspectives2018

Modeling the Present and Future Incidence of Pediatric Hand, Foot, and Mouth Disease Associated with Ambient Temperature in Mainland China.

Qi Zhao, Shanshan Li, Wei Cao, De-Li Liu, Quan Qian, Hongyan Ren, Fan Ding, Gail Williams, Rachel Huxley, Wenyi Zhang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2018. 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
4.4field-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, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 6 institutions in 2 countries.

Qi ZhaoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Shanshan LiDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Wei CaoInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
De-Li LiuNew South Wales Department of Primary Industries, Wagga Wagga, New South Wales, Australia.
Quan QianCenter for Disease Surveillance and Research, Institute for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
Hongyan RenInstitute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China.
Fan DingPublic Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing, China
Gail WilliamsDivision of Epidemiology and Biostatistics, School of Public Health, University of Queensland, Brisbane, Queensland, Australia.
Rachel HuxleyCollege of Science, Health and Engineering, La Trobe University, Melbourne, Victoria, Australia.
Wenyi ZhangCenter for Disease Surveillance and Research, Institute for Disease Control and Prevention of Chinese People’s Liberation Army, Beijing, China
Yuming GuoDepartment of Epidemiology and Preventive Medicine, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.
Chinese Center For Disease Control and Prevention · CNMonash University · AUChinese Academy of Sciences · CNLa Trobe University · AUNew South Wales Department of Primary Industries · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is limited evidence about the association between ambient temperature and the incidence of pediatric hand, foot, and mouth disease (HFMD) nationwide in China.

objectivesWe examined the childhood temperature-HFMD associations across mainland China, and we projected the change in HFMD cases due to projected temperature change by the 2090s.

methodsData on daily HFMD (children 0-14 y old) counts and weather were collected from 362 sites during 2009-2014. Daily temperature by the 2090s was downscaled under the Representative Concentration Pathway (RCP) 4.5 and 8.5 scenarios. Temperature-HFMD associations were quantified using a two-stage Poisson regression with a distributed lag nonlinear model. The impact of changes in temperature on the incidence of HFMD was estimated by combining the fitted temperature-HFMD associations with projected temperatures under each scenario, assuming a constant population structure. Sensitivity analyses were performed to assess the influence of primary model assumptions.

resultsDuring 2009-2014, >11 million HFMD cases were reported. In most regions, the temperature-HFMD association had an inverted U shape with a peak at approximately 20°C, but the association leveled off or continued to increase in the Inner Mongolia and Northeast regions. When estimates were pooled across all regions and the population size was held constant, the projected incidence of HFMD increased by 3.2% [95% empirical confidence interval (eCI): −13.5%, 20.0%] and 5.3% (95% eCI: −33.3%, 44.0%) by the 2090s under the RCP 4.5 and 8.5 scenarios, respectively. However, regional projections suggest that HFMD may decrease with climate change in temperate areas of central and eastern China.

conclusionOur estimates suggest that the association between temperature and HFMD varies across China and that the future impact of climate change on HFMD incidence will vary as well. Other factors, including changes in the size of the population at risk (children 0-14 y old) will also influence future HFMD trends. https://doi.org/10.1289/EHP3062.

Indexed as

Climate ChangeTemperatureAdolescentChildChild, PreschoolChinaForecastingHand, Foot and Mouth DiseaseHumansIncidenceInfantInfant, NewbornModels, Theoretical

Identifiers

PMID29681142
PMCPMC6071822
OpenAlexW2799424631

What OpenQuestion holds

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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.