Exploring geological and socio-demographic factors associated with under-five mortality in the Wenchuan earthquake using neural network model.
On 12 May 2008, a devastating earthquake occurred in Sichuan Province, China, taking tens of thousands of lives and destroying the homes of millions of people. Among the large number of dead or missing were children, particularly children aged less than five years old, a fact which drew significant...
| Publicado en: | International Journal of Environmental Health Research Vol. 22; no. 2; pp. 184 - 197 |
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| Autores principales: | , , , , , |
| Formato: | pictorial research tables/charts Journal Article |
| Publicado: |
Taylor & Francis Ltd
Apr2012
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=104529740&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 104529740 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 09603123 57L jtl: International Journal of Environmental Health Research issn: 09603123 maglogo: Y pubinfo: dt: Apr2012 vid: 22 iid: 2 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 104529740 73253376 10.1080/09603123.2011.613113 NLM21916667 104529740 ppf: 184 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Exploring geological and socio-demographic factors associated with under-five mortality in the Wenchuan earthquake using neural network model. aug: au: Hu, Yi Wang, Jinfeng Li, Xiaohong Ren, Dan Driskell, Luke Zhu, Jun affil: School of Earth & Mineral Resources, China University of Geosciences, Beijing; State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing sug: subj: Neural Networks (Computer) Child Mortality Risk Factors Natural Disasters Human China Geographic Factors Socioeconomic Factors Child, Preschool Descriptive Statistics Income Conceptual Framework Data Analysis Software Funding Source Child, Preschool: 2-5 years ab: On 12 May 2008, a devastating earthquake occurred in Sichuan Province, China, taking tens of thousands of lives and destroying the homes of millions of people. Among the large number of dead or missing were children, particularly children aged less than five years old, a fact which drew significant media attention. To obtain relevant information specifically to aid further studies and future preventative measures, a neural network model was proposed to explore some geological and socio-demographic factors associated with earthquake-related child mortality. Sensitivity analysis showed that topographic slope (mean 35.76%), geomorphology (mean 24.18%), earthquake intensity (mean 13.68%), and average income (mean 11%) had great contributions to child mortality. These findings could provide some clues to researchers for further studies and to policy makers in deciding how and where preventive measures and corresponding policies should be implemented in the reconstruction of communities. pubtype: Academic Journal doctype: pictorial research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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