The Role of Spatial Statistics in the Control and Elimination of Neglected Tropical Diseases in Sub-Saharan Africa:A Focus on Human African Trypanosomiasis, Schistosomiasis and Lymphatic Filariasis

Stanton, M. C. (2017) The Role of Spatial Statistics in the Control and Elimination of Neglected Tropical Diseases in Sub-Saharan Africa:A Focus on Human African Trypanosomiasis, Schistosomiasis and Lymphatic Filariasis. Advances in Parasitology, 97. pp. 187-241. ISSN 0065-308X

Full text not available from this repository.

Abstract

Disease control and elimination programmes can benefit greatly from accurate information on the spatial variability of disease risk, particularly when risk is highly spatially heterogeneous. Due to advances in statistical methodology, coupled with the increased availability of geospatial technology, this information is becoming increasingly accessible. In this chapter we describe recent advancements in spatial methods associated with the analysis of disease data measured at the point-level and demonstrate their application to the control and elimination of neglected tropical diseases (NTDs). We further provide information on spatially referenced data sources and software that can be used to create NTD risk maps, concentrating on those that can be freely obtained. Examples relating to three NTDs affecting populations in sub-Saharan Africa are presented throughout the chapter, i.e., human African trypanosomiasis, schistosomiasis and lymphatic filariasis. These three diseases, with differing routes of transmission, control methods and level of spatial heterogeneity, demonstrate the flexibility and applicability of the methods described.

Item Type:
Journal Article
Journal or Publication Title:
Advances in Parasitology
Additional Information:
Copyright © 2017 Elsevier Ltd. All rights reserved.
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/2400/2405
Subjects:
ID Code:
126531
Deposited By:
Deposited On:
06 Aug 2019 10:35
Refereed?:
Yes
Published?:
Published
Last Modified:
17 Jun 2020 06:04