Watson, Samuel I., Sartori, Jo, Uthman, Olalekan A. and Lilford, Richard (2019) Health effects of sanitation facilities : a Bayesian semi-parametric analysis of compositional data. Journal of the Royal Statistical Society: Series C (Applied Statistics), 68 (4). pp. 1149-1166. doi:10.1111/rssc.12339 ISSN 0035-9254.
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Abstract
Diarrhoeal disease is one of the leading causes of illness and death in young children, a problem exacerbated by a lack of access to safe sanitation facilities. But the effects of different types of sanitation facilities, and the relationship between their levels of coverage in an area and disease risk remain uncertain. We specify a hierarchical model that allows us to estimate the disease risk response surface across the multi-dimensional space of the composition of sanitation facilities in an area. This permits a non-linear relationship between coverage of improved sanitation, differential effects by sanitation type, and unobserved differences between countries. The model is used to estimate the change in risk associated with different types of sanitation facility, from which it is estimated that only increases in the coverage of sewerage and private improved sanitation facilities will achieve clinically meaningful reductions in the risk of adverse outcomes.
| Item Type: | Journal Article |
|---|---|
| Subjects: | H Social Sciences > HA Statistics R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine |
| Divisions: | Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School > Health Sciences > Population, Evidence & Technologies (PET) Faculty of Science, Engineering and Medicine > Medicine > Warwick Medical School |
| Library of Congress Subject Headings (LCSH): | Sanitation--Health aspects , Sanitation--Health aspects -- Statistical methods |
| Journal or Publication Title: | Journal of the Royal Statistical Society: Series C (Applied Statistics) |
| Publisher: | Wiley-Blackwell Publishing Ltd. |
| ISSN: | 0035-9254 |
| Official Date: | August 2019 |
| Dates: | Date Event August 2019 Published 24 February 2019 Available 21 December 2018 Accepted |
| Volume: | 68 |
| Number: | 4 |
| Page Range: | pp. 1149-1166 |
| DOI: | 10.1111/rssc.12339 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Re-use Statement: | This is the peer reviewed version of the following article: Watson, S. I., Sartori, J. , Uthman, O. and Lilford, R. J. (2019), Health effects of sanitation facilities: a Bayesian semiparametric analysis of compositional data. J. R. Stat. Soc. C. doi:10.1111/rssc.12339, which has been published in final form at https://doi.org/10.1111/rssc.12339. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. |
| Access rights to Published version: | Restricted or Subscription Access |
| Date of first compliant deposit: | 19 February 2019 |
| Date of first compliant Open Access: | 24 February 2020 |
| RIOXX Funder/Project Grant: | Project/Grant ID RIOXX Funder Name Funder ID NIHR Global Health Research Unit on Improving Health in Slums [NIHR] National Institute for Health Research |
| Related URLs: | |
| URI: | https://wrap.warwick.ac.uk/114063/ |
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