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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

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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.
In: Advances in Parasitology, Vol. 97, 2017, p. 187-241.

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@article{a30bae03d9424cd88d3252bfd143cbb8,
title = "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",
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.",
keywords = "Africa South of the Sahara, Animals, Elephantiasis, Filarial, Humans, Neglected Diseases, Schistosomiasis, Tropical Medicine, Trypanosomiasis, African, Journal Article, Review",
author = "Stanton, {M. C.}",
note = "Copyright {\textcopyright} 2017 Elsevier Ltd. All rights reserved.",
year = "2017",
doi = "10.1016/bs.apar.2017.01.001",
language = "English",
volume = "97",
pages = "187--241",
journal = "Advances in Parasitology",
issn = "0065-308X",
publisher = "Academic Press Inc.",

}

RIS

TY - JOUR

T1 - The Role of Spatial Statistics in the Control and Elimination of Neglected Tropical Diseases in Sub-Saharan Africa

T2 - A Focus on Human African Trypanosomiasis, Schistosomiasis and Lymphatic Filariasis

AU - Stanton, M. C.

N1 - Copyright © 2017 Elsevier Ltd. All rights reserved.

PY - 2017

Y1 - 2017

N2 - 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.

AB - 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.

KW - Africa South of the Sahara

KW - Animals

KW - Elephantiasis, Filarial

KW - Humans

KW - Neglected Diseases

KW - Schistosomiasis

KW - Tropical Medicine

KW - Trypanosomiasis, African

KW - Journal Article

KW - Review

U2 - 10.1016/bs.apar.2017.01.001

DO - 10.1016/bs.apar.2017.01.001

M3 - Review article

C2 - 28325371

VL - 97

SP - 187

EP - 241

JO - Advances in Parasitology

JF - Advances in Parasitology

SN - 0065-308X

ER -