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http://hdl.handle.net/1942/21027
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DC Field | Value | Language |
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dc.contributor.author | AREGAY, Mehreteab | - |
dc.contributor.author | LAWSON, Andrew | - |
dc.contributor.author | FAES, Christel | - |
dc.contributor.author | Kirby, R.S. | - |
dc.contributor.author | Carroll, R. | - |
dc.contributor.author | WATJOU, Kevin | - |
dc.date.accessioned | 2016-04-19T14:18:45Z | - |
dc.date.available | 2016-04-19T14:18:45Z | - |
dc.date.issued | 2015 | - |
dc.identifier.citation | AIMS Public Health, 2, p. 667-680 | - |
dc.identifier.issn | 2327-8994 | - |
dc.identifier.uri | http://hdl.handle.net/1942/21027 | - |
dc.description.abstract | Low birth weight (LBW) is an important public health issue in the US as well as worldwide. The two main causes of LBW are premature birth and fetal growth restriction. Socio-economic status, as measured by family income has been correlated with LBW incidence at both the individual and population levels. In this paper, we investigate the impact of household income on LBW incidence at different geographical levels. To show this, we choose to examine LBW incidences collected from the state of Georgia, in the US, at both the county and public health (PH) district. The data at the PH district are an aggregation of the data at the county level nested within the PH district. A spatial scaling effect is induced during data aggregation from the county to the PH level. To address the scaling effect issue, we applied a shared multiscale model that jointly models the data at two levels via a shared correlated random effect. To assess the benefit of using the shared multiscale model, we compare it with an independent multiscale model which ignores the scale effect. Applying the shared multiscale model for the Georgia LBW incidence, we have found that income has a negative impact at both the county and PH levels. On the other hand, the independent multiscale model shows that income has a negative impact only at the county level. Hence, if the scale effect is not properly accommodated in the model, a different interpretation of the findings could result. | - |
dc.description.sponsorship | The authors would like to acknowledge support from the National Institutes of Health via grant R01CA172805. The third author also acknowledges support from the IAP Research Network P7/06 of the Belgian State (Belgian Science Policy). | - |
dc.language.iso | en | - |
dc.subject.other | low birth weight (LBW); predictive accuracy; shared multiscale model; independent multiscale model; scaling effect; Bayesian multiscale model | - |
dc.title | Impact of Income on Small Area Low Birth Weight Incidence Using Multiscale Models | - |
dc.type | Journal Contribution | - |
dc.identifier.epage | 680 | - |
dc.identifier.spage | 667 | - |
dc.identifier.volume | 2 | - |
local.bibliographicCitation.jcat | A1 | - |
dc.description.notes | Correspondence: aregay@musc.edu; Tel: +1-843-876-1100 | - |
local.type.refereed | Refereed | - |
local.type.specified | Article | - |
local.identifier.vabb | c:vabb:394492 | - |
dc.identifier.doi | 10.3934/publichealth.2015.4.667 | - |
item.contributor | AREGAY, Mehreteab | - |
item.contributor | LAWSON, Andrew | - |
item.contributor | FAES, Christel | - |
item.contributor | Kirby, R.S. | - |
item.contributor | Carroll, R. | - |
item.contributor | WATJOU, Kevin | - |
item.validation | vabb 2017 | - |
item.fullcitation | AREGAY, Mehreteab; LAWSON, Andrew; FAES, Christel; Kirby, R.S.; Carroll, R. & WATJOU, Kevin (2015) Impact of Income on Small Area Low Birth Weight Incidence Using Multiscale Models. In: AIMS Public Health, 2, p. 667-680. | - |
item.accessRights | Open Access | - |
item.fulltext | With Fulltext | - |
crisitem.journal.issn | 2327-8994 | - |
crisitem.journal.eissn | 2327-8994 | - |
Appears in Collections: | Research publications |
Files in This Item:
File | Description | Size | Format | |
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Aregay et al 2015 AIMS Public Health.pdf | Peer-reviewed author version | 856.46 kB | Adobe PDF | View/Open |
201504667.pdf | Published version | 1.15 MB | Adobe PDF | View/Open |
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