Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China

Background Human cystic (CE) and alveolar (AE) echinococcoses are zoonotic parasitic diseases that can be influenced by environmental variability and change through effects on the parasites, animal intermediate and definitive hosts, and human populations. We aimed to assess and quantify the spati...

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Main Authors: Cadavid Restrepo, Angela M., Yang, Yu Rong, McManus, Donald P., Gray, Darren J., Barnes, Tamsin S., Williams, Gail M., Soares Magalhães, Ricardo J., Hamm, Nicholas A.S, Clements, Archie C.A.
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Published: BioMed Central 2018
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Online Access:https://eprints.nottingham.ac.uk/53020/
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author Cadavid Restrepo, Angela M.
Yang, Yu Rong
McManus, Donald P.
Gray, Darren J.
Barnes, Tamsin S.
Williams, Gail M.
Soares Magalhães, Ricardo J.
Hamm, Nicholas A.S
Clements, Archie C.A.
author_facet Cadavid Restrepo, Angela M.
Yang, Yu Rong
McManus, Donald P.
Gray, Darren J.
Barnes, Tamsin S.
Williams, Gail M.
Soares Magalhães, Ricardo J.
Hamm, Nicholas A.S
Clements, Archie C.A.
author_sort Cadavid Restrepo, Angela M.
building Nottingham Research Data Repository
collection Online Access
description Background Human cystic (CE) and alveolar (AE) echinococcoses are zoonotic parasitic diseases that can be influenced by environmental variability and change through effects on the parasites, animal intermediate and definitive hosts, and human populations. We aimed to assess and quantify the spatiotemporal patterns of human echinococcoses in Ningxia Hui Autonomous Region (NHAR), China between January 1994 and December 2013, and examine associations between these infections and indicators of environmental variability and change, including large-scale landscape regeneration undertaken by the Chinese authorities. Methods Data on the number of human echinococcosis cases were obtained from a hospital-based retrospective survey conducted in NHAR for the period 1 January 1994 through 31 December 2013. High-resolution imagery from Landsat 4/5-TM and 8-OLI was used to create single date land cover maps. Meteorological data were also collected for the period January 1980 to December 2013 to derive time series of bioclimatic variables. A Bayesian spatio-temporal conditional autoregressive model was used to quantify the relationship between annual cases of CE and AE and environmental variables. Results Annual CE incidence demonstrated a negative temporal trend and was positively associated with winter mean temperature at a 10-year lag. There was also a significant, nonlinear effect of annual mean temperature at 13-year lag. The findings also revealed a negative association between AE incidence with temporal moving averages of bareland/artificial surface coverage and annual mean temperature calculated for the period 11–15 years before diagnosis and winter mean temperature for the period 0–4 years. Unlike CE risk, the selected environmental covariates accounted for some of the spatial variation in the risk of AE. Conclusions The present study contributes towards efforts to understand the role of environmental factors in determining the spatial heterogeneity of human echinococcoses. The identification of areas with high incidence of CE and AE may assist in the development and refinement of interventions for these diseases, and enhanced environmental change risk assessment.
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spelling nottingham-530202020-05-04T19:33:15Z https://eprints.nottingham.ac.uk/53020/ Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China Cadavid Restrepo, Angela M. Yang, Yu Rong McManus, Donald P. Gray, Darren J. Barnes, Tamsin S. Williams, Gail M. Soares Magalhães, Ricardo J. Hamm, Nicholas A.S Clements, Archie C.A. Background Human cystic (CE) and alveolar (AE) echinococcoses are zoonotic parasitic diseases that can be influenced by environmental variability and change through effects on the parasites, animal intermediate and definitive hosts, and human populations. We aimed to assess and quantify the spatiotemporal patterns of human echinococcoses in Ningxia Hui Autonomous Region (NHAR), China between January 1994 and December 2013, and examine associations between these infections and indicators of environmental variability and change, including large-scale landscape regeneration undertaken by the Chinese authorities. Methods Data on the number of human echinococcosis cases were obtained from a hospital-based retrospective survey conducted in NHAR for the period 1 January 1994 through 31 December 2013. High-resolution imagery from Landsat 4/5-TM and 8-OLI was used to create single date land cover maps. Meteorological data were also collected for the period January 1980 to December 2013 to derive time series of bioclimatic variables. A Bayesian spatio-temporal conditional autoregressive model was used to quantify the relationship between annual cases of CE and AE and environmental variables. Results Annual CE incidence demonstrated a negative temporal trend and was positively associated with winter mean temperature at a 10-year lag. There was also a significant, nonlinear effect of annual mean temperature at 13-year lag. The findings also revealed a negative association between AE incidence with temporal moving averages of bareland/artificial surface coverage and annual mean temperature calculated for the period 11–15 years before diagnosis and winter mean temperature for the period 0–4 years. Unlike CE risk, the selected environmental covariates accounted for some of the spatial variation in the risk of AE. Conclusions The present study contributes towards efforts to understand the role of environmental factors in determining the spatial heterogeneity of human echinococcoses. The identification of areas with high incidence of CE and AE may assist in the development and refinement of interventions for these diseases, and enhanced environmental change risk assessment. BioMed Central 2018-02-22 Article PeerReviewed Cadavid Restrepo, Angela M., Yang, Yu Rong, McManus, Donald P., Gray, Darren J., Barnes, Tamsin S., Williams, Gail M., Soares Magalhães, Ricardo J., Hamm, Nicholas A.S and Clements, Archie C.A. (2018) Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China. Parasites and Vectors, 11 . 108/1-108/19. ISSN 1756-3305 Echinococcosis; Cystic echinococcosis; Alveolar echinococcosis; Spatial analysis; Environmental change; Remote sensing http://dx.doi.org/10.1186/s13071-018-2693-z doi:10.1186/s13071-018-2693-z doi:10.1186/s13071-018-2693-z
spellingShingle Echinococcosis; Cystic echinococcosis; Alveolar echinococcosis; Spatial analysis; Environmental change; Remote sensing
Cadavid Restrepo, Angela M.
Yang, Yu Rong
McManus, Donald P.
Gray, Darren J.
Barnes, Tamsin S.
Williams, Gail M.
Soares Magalhães, Ricardo J.
Hamm, Nicholas A.S
Clements, Archie C.A.
Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
title Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
title_full Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
title_fullStr Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
title_full_unstemmed Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
title_short Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
title_sort spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in ningxia hui autonomous region, china
topic Echinococcosis; Cystic echinococcosis; Alveolar echinococcosis; Spatial analysis; Environmental change; Remote sensing
url https://eprints.nottingham.ac.uk/53020/
https://eprints.nottingham.ac.uk/53020/
https://eprints.nottingham.ac.uk/53020/