Final published version
Research output: Contribution to Journal/Magazine › Review article › peer-review
Research output: Contribution to Journal/Magazine › Review article › peer-review
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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 -