The landscape epidemiology of echinococcoses

Restrepo, Angela M. Cadavid, Yang, Yu Rong, McManus, Donald P., Gray, Darren J., Giraudoux, Patrick, Barnes, Tamsin S., Williams, Gail M., Magalhaes, Ricardo J. Soares, Hamm, Nicholas A. S. and Clements, Archie C. A. (2016) The landscape epidemiology of echinococcoses. Infectious Diseases of Poverty, 5 13: 1-13. doi:10.1186/s40249-016-0109-x


Author Restrepo, Angela M. Cadavid
Yang, Yu Rong
McManus, Donald P.
Gray, Darren J.
Giraudoux, Patrick
Barnes, Tamsin S.
Williams, Gail M.
Magalhaes, Ricardo J. Soares
Hamm, Nicholas A. S.
Clements, Archie C. A.
Title The landscape epidemiology of echinococcoses
Journal name Infectious Diseases of Poverty   Check publisher's open access policy
ISSN 2049-9957
Publication date 2016-02-20
Year available 2016
Sub-type Critical review of research, literature review, critical commentary
DOI 10.1186/s40249-016-0109-x
Open Access Status DOI
Volume 5
Issue 13
Start page 1
End page 13
Total pages 13
Place of publication London, United Kingdom
Publisher BioMed Central
Collection year 2017
Language eng
Formatted abstract
Echinococcoses are parasitic diseases of major public health importance globally. Human infection results in chronic disease with poor prognosis and serious medical, social and economic consequences for vulnerable populations. According to recent estimates, the geographical distribution of Echinococcus spp. infections is expanding and becoming an emerging and re-emerging problem in several regions of the world. Echinococcosis endemicity is geographically heterogeneous and over time it may be affected by global environmental change. Therefore, landscape epidemiology offers a unique opportunity to quantify and predict the ecological risk of infection at multiple spatial and temporal scales. Here, we review the most relevant environmental sources of spatial variation in human echinococcosis risk, and describe the potential applications of landscape epidemiological studies to characterise the current patterns of parasite transmission across natural and human-altered landscapes. We advocate future work promoting the use of this approach as a support tool for decision-making that facilitates the design, implementation and monitoring of spatially targeted interventions to reduce the burden of human echinococcoses in disease-endemic areas.
Keyword Landscape epidemiology
Helminth infection
Human echinococcosis
Echinococcus spp
Environmental change
Geographic information systems
Remote sensing
Geostatistics
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

 
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