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Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China

The spatiotemporal dynamics of Schistosoma japonicum, combined with temporal heterogeneity among regions of different epidemic areal-types from a microscale viewpoint might capture the local change dynamics and thus aid in optimizing the combinations of precise schistosomiasis control measures. The...

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Autores principales: Qiu, Juan, Li, Rendong, Xiao, Ying, Xia, Jing, Zhu, Hong, Niu, Yingnan, Huang, Duan, Shao, Qihui, Cui, Ying, Wang, Yong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617067/
https://www.ncbi.nlm.nih.gov/pubmed/31234380
http://dx.doi.org/10.3390/ijerph16122198
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author Qiu, Juan
Li, Rendong
Xiao, Ying
Xia, Jing
Zhu, Hong
Niu, Yingnan
Huang, Duan
Shao, Qihui
Cui, Ying
Wang, Yong
author_facet Qiu, Juan
Li, Rendong
Xiao, Ying
Xia, Jing
Zhu, Hong
Niu, Yingnan
Huang, Duan
Shao, Qihui
Cui, Ying
Wang, Yong
author_sort Qiu, Juan
collection PubMed
description The spatiotemporal dynamics of Schistosoma japonicum, combined with temporal heterogeneity among regions of different epidemic areal-types from a microscale viewpoint might capture the local change dynamics and thus aid in optimizing the combinations of precise schistosomiasis control measures. The prevalence data on schistosomiasis infection from 2007 to 2012 in the 30 most endemic counties of Hubei Province, Central China, were appended to the village-level administrative division polygon layer. Anselin local Moran’s I, a retrospective space–time scan statistic and a multilevel-growth model analysis framework, was used to investigate the spatiotemporal pattern of schistosomiasis resident infection rate (RIR) at the village level and how natural geographical environment influence the schistosomiasis RIR over time. Two spatiotemporal high-risk clusters and continuous high-rate clusters were identified mainly in the embankment region across flooding areas of lakes connected with the Yangze and Hanjiang Rivers. Moreover, 12 other clusters and outlier evolution modes were detected to be scattered across the continuous high-rate clusters. Villages located in embankment region had the highest initial values and most rapidly reduced RIRs over time, followed by villages located in marshland-and-lake regions and finally by villages located in hilly region. Moreover, initial RIR values and rates of change did significantly vary (p < 0.001 and p < 0.001, respectively) irrespective of their epidemic areal-type. These local spatiotemporal heterogeneities could contribute to the formulation of distinct control strategies based on local transmission dynamics and be applied in other endemic areas of schistosomiasis.
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spelling pubmed-66170672019-07-18 Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China Qiu, Juan Li, Rendong Xiao, Ying Xia, Jing Zhu, Hong Niu, Yingnan Huang, Duan Shao, Qihui Cui, Ying Wang, Yong Int J Environ Res Public Health Article The spatiotemporal dynamics of Schistosoma japonicum, combined with temporal heterogeneity among regions of different epidemic areal-types from a microscale viewpoint might capture the local change dynamics and thus aid in optimizing the combinations of precise schistosomiasis control measures. The prevalence data on schistosomiasis infection from 2007 to 2012 in the 30 most endemic counties of Hubei Province, Central China, were appended to the village-level administrative division polygon layer. Anselin local Moran’s I, a retrospective space–time scan statistic and a multilevel-growth model analysis framework, was used to investigate the spatiotemporal pattern of schistosomiasis resident infection rate (RIR) at the village level and how natural geographical environment influence the schistosomiasis RIR over time. Two spatiotemporal high-risk clusters and continuous high-rate clusters were identified mainly in the embankment region across flooding areas of lakes connected with the Yangze and Hanjiang Rivers. Moreover, 12 other clusters and outlier evolution modes were detected to be scattered across the continuous high-rate clusters. Villages located in embankment region had the highest initial values and most rapidly reduced RIRs over time, followed by villages located in marshland-and-lake regions and finally by villages located in hilly region. Moreover, initial RIR values and rates of change did significantly vary (p < 0.001 and p < 0.001, respectively) irrespective of their epidemic areal-type. These local spatiotemporal heterogeneities could contribute to the formulation of distinct control strategies based on local transmission dynamics and be applied in other endemic areas of schistosomiasis. MDPI 2019-06-21 2019-06 /pmc/articles/PMC6617067/ /pubmed/31234380 http://dx.doi.org/10.3390/ijerph16122198 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Qiu, Juan
Li, Rendong
Xiao, Ying
Xia, Jing
Zhu, Hong
Niu, Yingnan
Huang, Duan
Shao, Qihui
Cui, Ying
Wang, Yong
Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
title Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
title_full Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
title_fullStr Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
title_full_unstemmed Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
title_short Spatiotemporal Heterogeneity in Human Schistosoma japonicum Infection at Village Level in Hubei Province, China
title_sort spatiotemporal heterogeneity in human schistosoma japonicum infection at village level in hubei province, china
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6617067/
https://www.ncbi.nlm.nih.gov/pubmed/31234380
http://dx.doi.org/10.3390/ijerph16122198
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