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dc.contributor.authorBizzego, Andreaen_US
dc.contributor.authorLim, Mengyuen_US
dc.contributor.authorSchiavon, Gretaen_US
dc.contributor.authorSetoh, Peipeien_US
dc.contributor.authorGabrieli, Giulioen_US
dc.contributor.authorDimitriou, Dagmaraen_US
dc.contributor.authorEsposito, Gianlucaen_US
dc.identifier.citationBizzego, A., Lim, M., Schiavon, G., Setoh, P., Gabrieli, G., Dimitriou, D., & Esposito, G. (2020). Child disability and caregiving in low and middle income countries : big data approach on open data. Research in Developmental Disabilities, 107, 103795-. doi:10.1016/j.ridd.2020.103795en_US
dc.description.abstractThe presence of child disabilities might affect the amount of caregiving attention the child receives, with potential ramifications on the development of the child and increasing the likelihood of developing a more severe condition. Little is known about the association between child disabilities and caregiving practices in less developed countries, penalized by both lack of data and a research bias toward western societies.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.relation.ispartofResearch in Developmental Disabilitiesen_US
dc.rights© 2020 Elsevier Ltd. All rights reserved. This paper was published in Research in Developmental Disabilities and is made available with permission of Elsevier Ltd.en_US
dc.subjectSocial sciences::Psychologyen_US
dc.titleChild disability and caregiving in low and middle income countries : big data approach on open dataen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Social Sciencesen_US
dc.contributor.schoolLee Kong Chian School of Medicine (LKCMedicine)en_US
dc.contributor.departmentDepartment of Psychology and Cognitive Science, University of Trento, Italyen_US
dc.contributor.departmentUCL Institute of Education, University College London, London, United Kingdomen_US
dc.description.versionAccepted versionen_US
dc.subject.keywordsDevelopmental Disabilitiesen_US
dc.description.acknowledgementA.B. was supported by a Post-doctoral Fellowship within MIUR programme framework ”Dipartimenti di Eccellenza” (DiPSCO, University of Trento). G.E. was supported by NAP SUG 2015, Singapore Ministry of Education ACR Tier 1 (RG149/16 and RT10/19). Computational resources were provided by the National Super Computing Center of Singapore (Project ID: 12001609; Computational study of Child Development in Low Resource Contexts).en_US
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