Evidence map›Paper›PMID 22723913›Full record

ArticlePloS one2012

Determinants of the incidence of hand, foot and mouth disease in China using geographically weighted regression models.

Maogui Hu, Zhongjie Li, Jinfeng Wang, Lin Jia, Yilan Liao, Shengjie Lai, Yansha Guo, Dan Zhao, Weizhong Yang

Abstract read
In one paragraph

Article in PloS one, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
62citing papers in PubMed, 2 pooled it
–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

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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

62 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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2 more citing papers are in PubMed but not listed here.

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

9 authors.

Maogui HuState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China. humg@lreis.ac.cn
Zhongjie Li
Jinfeng Wang
Lin Jia
Yilan Liao
Shengjie Lai
Yansha Guo
Dan Zhao
Weizhong Yang

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the past two decades, major epidemics of hand, foot, and mouth disease (HFMD) have occurred throughout most of the West-Pacific Region countries, causing thousands of deaths among children. However, few studies have examined potential determinants of the incidence of HFMD.

methodsReported HFMD cases from 2912 counties in China were obtained for May 2008. The monthly HFMD cumulative incidence was calculated for children aged 9 years and younger. Child population density (CPD) and six climate factors (average-temperature [AT], average-minimum-temperature [AT(min)], average-maximum-temperature [AT(max)], average-temperature-difference [AT(diff)], average-relative-humidity [ARH], and monthly precipitation [MP]) were selected as potential explanatory variables for the study. Geographically weighted regression (GWR) models were used to explore the associations between the selected factors and HFMD incidence at county level.

resultsThere were 176,111 HFMD cases reported in the studied counties. The adjusted monthly cumulative incidence by county ranged from 0.26 cases per 100,000 children to 2549.00 per 100,000 children. For local univariate GWR models, the percentage of counties with statistical significance (p<0.05) between HFMD incidence and each of the seven factors were: CPD 84.3%, AT(max) 54.9%, AT 57.8%, AT(min) 61.2%, ARH 54.4%, MP 50.3%, and AT(diff) 51.6%. The R(2) for the seven factors' univariate GWR models are CPD 0.56, AT(max) 0.53, AT 0.52, MP 0.51, AT(min) 0.52, ARH 0.51, and AT(diff) 0.51, respectively. CPD, MP, AT, ARH and AT(diff) were further included in the multivariate GWR model, with R(2) 0.62, and all counties show statistically significant relationship.

conclusionChild population density and climate factors are potential determinants of the HFMD incidence in most areas in China. The strength and direction of association between these factors and the incidence of HFDM is spatially heterogeneous at the local geographic level, and child population density has a greater influence on the incidence of HFMD than the climate factors.

Indexed as

Models, StatisticalChildChild, PreschoolChinaClimateGeographyHand, Foot and Mouth DiseaseHumansIncidenceInfantInfant, NewbornPopulation DensityRegression Analysis

Identifiers

PMID22723913
PMCPMC3377651

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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.