Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China

Zhang, Zhijie, Clark, Allan B. ORCID: https://orcid.org/0000-0003-2965-8941, Bivand, Roger, Chen, Yue, Carpenter, Tim E., Peng, Wenxiang, Zhou, Yibiao, Zhao, Genming and Jiang, Qingwu (2009) Nonparametric spatial analysis to detect high-risk regions for schistosomiasis in Guichi, China. Transactions of the Royal Society of Tropical Medicine and Hygiene, 103 (10). pp. 1045-1052. ISSN 0035-9203

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Abstract

Schistosomiasis control in China is facing a new challenge due to the rebound of epidemics in many areas and the unsustainable effects of the chemotherapy-based control strategy. Identifying high-risk regions for schistosomiasis is an important first step for an effective and sustainable strategy. Direct surveillance of snail habitats to detect high-risk regions is costly and no longer a desirable approach, while indirect monitoring of acute schistosomiasis may be a satisfactory alternative. To identify high-risk regions for schistosomiasis, we jointly used multiplicative and additive models with the kernel smoothing technique as the main approach to estimate the relative risk (RR) and excess risk (ER) surfaces by analyzing surveillance data for acute schistosomiasis. The feasibility of detecting high-risk regions for schistosomiasis through nonparametric spatial analysis was explored and confirmed in this study, and two significant high-risk regions were identified. The results provide useful hints for improving the national surveillance network for acute schistosomiasis and possible approaches to utilizing surveillance data more efficiently. In addition, the commonly used epidemiological indices, RR and ER, are examined and emphasized from the spatial point of view, which will be helpful for exploring many other epidemiological indices.

Item Type:	Article
Uncontrolled Keywords:	sdg 3 - good health and well-being ,/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_being
Faculty \ School:	Faculty of Medicine and Health Sciences > Norwich Medical School
UEA Research Groups:	Faculty of Medicine and Health Sciences > Research Groups > Public Health and Health Services Research (former - to 2023) Faculty of Medicine and Health Sciences > Research Groups > Norwich Clinical Trials Unit Faculty of Medicine and Health Sciences > Research Groups > Health Services and Primary Care Faculty of Medicine and Health Sciences > Research Groups > Epidemiology and Public Health Faculty of Medicine and Health Sciences > Research Centres > Population Health
Depositing User:	Rhiannon Harvey
Date Deposited:	04 Apr 2011 19:46
Last Modified:	19 Oct 2023 00:41
URI:	https://ueaeprints.uea.ac.uk/id/eprint/27985
DOI:	10.1016/j.trstmh.2008.11.012

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