18 results on '"Cadavid Restrepo, Angela M."'
Search Results
2. Serological Comparison of Native Antigen ELISAs with Rapid ICT Test Kits for the Diagnosis of Human Alveolar and Cystic Echinococcosis in China
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Yang, Shu-Kun, primary, Zhang, Wei, additional, Zhu, Na, additional, McManus, Donald P., additional, Gray, Darren J., additional, Clements, Archie C. A., additional, Cadavid Restrepo, Angela M., additional, Williams, Gail M., additional, Zhang, Ting, additional, Ma, Guo-Rong, additional, Yang, Yan-Hui, additional, and Yang, Yu-Rong, additional
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- 2024
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3. Predictive risk mapping of lymphatic filariasis residual hotspots in American Samoa using demographic and environmental factors
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Cadavid Restrepo, Angela M., primary, Martin, Beatris Mario, additional, Fuimaono, Saipale, additional, Clements, Archie C.A., additional, Graves, Patricia M., additional, and Lau, Colleen L., additional
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- 2022
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4. Spatial predictive risk mapping of lymphatic filariasis residual hotspots in American Samoa using demographic and environmental factors.
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Cadavid Restrepo, Angela M., Martin, Beatris M., Fuimaono, Saipale, Clements, Archie C. A., Graves, Patricia M., and Lau, Colleen L.
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FILARIASIS , *TREE age , *BAYESIAN analysis , *LAND cover , *DECISION making - Abstract
Background: American Samoa successfully completed seven rounds of mass drug administration (MDA) for lymphatic filariasis (LF) from 2000–2006. The territory passed the school-based transmission assessment surveys in 2011 and 2015 but failed in 2016. One of the key challenges after the implementation of MDA is the identification of any residual hotspots of transmission. Method: Based on data collected in a 2016 community survey in persons aged ≥8 years, Bayesian geostatistical models were developed for LF antigen (Ag), and Wb123, Bm14, Bm33 antibodies (Abs) to predict spatial variation in infection markers using demographic and environmental factors (including land cover, elevation, rainfall, distance to the coastline and distance to streams). Results: In the Ag model, females had a 26.8% (95% CrI: 11.0–39.8%) lower risk of being Ag-positive than males. There was a 2.4% (95% CrI: 1.8–3.0%) increase in the odds of Ag positivity for every year of age. Also, the odds of Ag-positivity increased by 0.4% (95% CrI: 0.1–0.7%) for each 1% increase in tree cover. The models for Wb123, Bm14 and Bm33 Abs showed similar significant associations as the Ag model for sex, age and tree coverage. After accounting for the effect of covariates, the radii of the clusters were larger for Bm14 and Bm33 Abs compared to Ag and Wb123 Ab. The predictive maps showed that Ab-positivity was more widespread across the territory, while Ag-positivity was more confined to villages in the north-west of the main island. Conclusion: The findings may facilitate more specific targeting of post-MDA surveillance activities by prioritising those areas at higher risk of ongoing transmission. Author summary: The Global Programme to Eliminate Lymphatic filariasis (LF) aims to interrupt transmission by implementing mass drug administration (MDA) of antifilarial drugs in endemic areas; and to alleviate suffering of those affected through improved morbidity management and disability prevention. Significant progress has been made in the global efforts to eliminate LF. One of the main challenges faced by most LF-endemic countries that have implemented MDA is to effectively undertake post-validation surveillance to identify residual hotspots of ongoing transmission. American Samoa conducted seven rounds of MDA for LF between 2000 and 2006. Subsequently, the territory passed transmission assessment surveys in February 2011 (TAS-1) and April 2015 (TAS-2). However, the territory failed TAS-3 in September 2016, indicating resurgence. We implemented a Bayesian geostatistical analysis to predict LF prevalence estimates for American Samoa and examined the geographical distribution of the infection using sociodemographic and environmental factors. Our observations indicate that there are still areas with high prevalence of LF in the territory, particularly in the north-west of the main island of Tutuila. Bayesian geostatistical approaches have a promising role in guiding programmatic decision making by facilitating more specific targeting of post-MDA surveillance activities and prioritising those areas at higher risk of ongoing transmission. [ABSTRACT FROM AUTHOR]
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- 2023
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5. Estimating the prevalence of Echinococcus in domestic dogs in highly endemic for echinococcosis
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Liu, Cong-Nuan, Xu, Yang-Yang, Cadavid-Restrepo, Angela M., Lou, Zhong-Zi, Yan, Hong-Bin, Li, Li, Fu, Bao-Quan, Gray, Darren J., Clements, Archie A., Barnes, Tamsin S., Williams, Gail M., Jia, Wan-Zhong, McManus, Donald P., and Yang, Yu-Rong
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- 2018
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6. Environmental risk factors and changing spatial patterns of human seropositivity for Echinococcus spp. in Xiji County, Ningxia Hui Autonomous Region, China
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Cadavid Restrepo, Angela M., Yang, Yu Rong, McManus, Donald P., Gray, Darren J., Barnes, Tamsin S., Williams, Gail M., Soares Magalhães, Ricardo J., and Clements, Archie C. A.
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- 2018
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7. Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
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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.
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- 2018
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8. Potential use of antibodies to provide an earlier indication of lymphatic filariasis resurgence in post-mass drug administration surveillance, American Samoa
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Cadavid Restrepo, Angela M, primary, Gass, Katherine, additional, Won, Kimberly Y, additional, Sheel, Meru, additional, Robinson, Keri, additional, Graves, Patricia M, additional, Fuimaono, Saipale, additional, and Lau, Colleen L, additional
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- 2021
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9. A spatiotemporal epidemiological investigation of the impact of environmental change on the transmission dynamics of Echinococcus spp. in Ningxia Hui Autonomous Region, China
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Cadavid Restrepo, Angela M, Yang, Yurong, McManus, Donald P, Gray, Darren J, Barnes, Tamsin S, Williams, Gail M, Soares Magalhães, Ricardo J, Hamm, Nicholas A S, Clements, Archie C A, Research School of population health, Australian National University (ANU), Ningxia Medical University, Molecular Parasitology Unit, Queensland Institute of Medical Research, Queensland Alliance for Agriculture and Food Innovation (QAAFI), University of Queensland [Brisbane], School of veterinary science, School of Public Health, Child Health Research Centre, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente [Netherlands], GDRI Ecosystem Health and Environmental Disease Ecology, and Giraudoux, Patrick
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[SDE.BE] Environmental Sciences/Biodiversity and Ecology ,modelling ,[SDV.EE]Life Sciences [q-bio]/Ecology, environment ,[SDV.EE] Life Sciences [q-bio]/Ecology, environment ,graphab ,landscape connectivity ,[SDE.BE]Environmental Sciences/Biodiversity and Ecology ,ecological network - Abstract
International audience; Echinococcoses are parasitic diseases of major public health importance globally. 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. Using geographic information systems and remote sensing technologies, we explored the role of environmental factors in determining the spatiotemporal variation of human echinococcosis risk in Ningxia Hui Autonomous Region, which is a hyper-endemic province for echinococcoses. Data on echinococcosis cases were obtained from a hospital-based retrospective survey undertaken between 1 January 1994 and 31 December 2013. Land cover maps of the region were created using a range of high-quality remote sensing images with approximately 30-meter spatial resolution. Data on climatic factors were obtained from 11 local meteorological stations. The inverse distance weighted interpolation method was applied to obtain data for those locations where there were no meteorological observations locally available. Bayesian spatiotemporal conditional autoregressive models were developed at the township-level to quantify the relationship between monthly cases of human echinococcoses and environmental factors. The results of the study indicate that the land cover patterns and landscape characteristics in the province were greatly altered during the study period. We also found a significant spatial heterogeneity in the prevalence of human echinococcoses across the province. Models revealed significant positive association between human cystic echinococcosis infection and mean temperature in winter (lag-10), and also negative associations between human alveolar echinococcosis and moving averages calculated for bareland, mean temperature and mean temperature in winter. Environmental determinants of human echinococcoses can be used to develop and refine initiatives local and national initiatives to reduce the medical, social and economic burden of the infection.
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- 2016
10. Spatial prediction of the risk of exposure to Echinococcus spp. among schoolchildren and dogs in Ningxia Hui Autonomous Region, People’s Republic of China
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Cadavid Restrepo, Angela M., primary, Yang, Yu Rong, additional, McManus, Donald P., additional, Gray, Darren J., additional, Barnes, Tamsin S., additional, Williams, Gail M., additional, Soares Magalhães, Ricardo J., additional, and Clements, Archie C.A., additional
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- 2018
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11. Land cover change during a period of extensive landscape restoration in Ningxia Hui Autonomous Region, China
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Cadavid Restrepo, Angela M., primary, Yang, Yu Rong, additional, Hamm, Nicholas A.S., additional, Gray, Darren J., additional, Barnes, Tamsin S., additional, Williams, Gail M., additional, Soares Magalhães, Ricardo J., additional, McManus, Donald P., additional, Guo, Danhuai, additional, and Clements, Archie C.A., additional
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- 2017
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12. The landscape epidemiology of echinococcoses
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Cadavid Restrepo, Angela M, Yang, Yu R, McManus, Donald P, Gray, Darren J, Giraudoux, Patrick, Barnes, Tamsin S, Williams, Gail M, Soares Magalhaes, Ricardo, Hamm, Nicholas A S, Clements, Archie C A, Cadavid Restrepo, Angela M, Yang, Yu R, McManus, Donald P, Gray, Darren J, Giraudoux, Patrick, Barnes, Tamsin S, Williams, Gail M, Soares Magalhaes, Ricardo, Hamm, Nicholas A S, and Clements, Archie C A
- 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.
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- 2016
13. The landscape epidemiology of echinococcoses
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Cadavid Restrepo, Angela M., primary, Yang, Yu Rong, additional, McManus, Donald P., additional, Gray, Darren J., additional, Giraudoux, Patrick, additional, Barnes, Tamsin S., additional, Williams, Gail M., additional, Soares Magalhães, Ricardo J., additional, Hamm, Nicholas A. S., additional, and Clements, Archie C. A., additional
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- 2016
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14. Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
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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., 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.
- Abstract
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
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15. Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
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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., 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.
- Abstract
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
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16. Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
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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., 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.
- Abstract
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
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17. Spatiotemporal patterns and environmental drivers of human echinococcoses over a twenty-year period in Ningxia Hui Autonomous Region, China
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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., 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.
- Abstract
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
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18. Environmental risk factors and changing spatial patterns of human seropositivity for <italic>Echinococcus</italic> spp. in Xiji County, Ningxia Hui Autonomous Region, China.
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Cadavid Restrepo, Angela M., Yang, Yu Rong, McManus, Donald P., Gray, Darren J., Barnes, Tamsin S., Williams, Gail M., Soares Magalhães, Ricardo J., and Clements, Archie C. A.
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HELMINTHIASIS ,SEROPREVALENCE ,EPIDEMIOLOGY ,SEROLOGY ,ECHINOCOCCOSIS - Abstract
Background: Human echinococcoses are parasitic helminth infections that constitute a serious public health concern in several regions across the world. Cystic (CE) and alveolar echinococcosis (AE) in China represent a high proportion of the total global burden of these infections. This study was conducted to predict the spatial distribution of human seropositivity for
Echinococcus species in Xiji County, Ningxia Hui Autonomous Region (NHAR), with the aim of identifying communities where targeted prevention and control efforts are required. Methods: Bayesian geostatistical models with environmental and demographic covariates were developed to predict spatial variation in the risk of human seropositivity forEchinococcus granulosus (the cause of CE) andE. multilocularis (the cause of AE). Data were collected from three cross-sectional surveys of school children conducted in Xiji County in 2002–2003, 2006–2007 and 2012–2013. Environmental data were derived from high-resolution satellite images and meteorological data. Results: The overall seroprevalence ofE. granulosus andE. multilocularis was 33.4 and 12.2%, respectively, across the three surveys. Seropositivity forE. granulosus was significantly associated with summer and winter precipitation, landscape fragmentation variables and the extent of areas covered by forest, shrubland, water and bareland/artificial surfaces. Seropositivity forE. multilocularis was significantly associated with summer and winter precipitations, landscape fragmentation variables and the extent of shrubland and water bodies. Spatial correlation occurred over greater distances forE. granulosus than forE. multilocularis. The predictive maps showed that the risk of seropositivity forE. granulosus expanded across Xiji during the three surveys, while the risk of seropositivity forE. multilocularis became more confined in communities located in the south. Conclusions: The identification of high-risk areas for seropositivity for these parasites, and a better understanding of the role of the environment in determining the transmission dynamics ofEchinococcus spp. may help to guide and monitor improvements in human echinococcosis control strategies by allowing targeted allocation of resources. [ABSTRACT FROM AUTHOR]- Published
- 2018
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