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Distribution of reported syphilis cases in South China: spatiotemporal analysis

There was a varied spatial distribution of reported syphilis cases across cities in South China. This study aims to identify and describe spatiotemporal clusters of primary and secondary syphilis (P/S) cases in this region. Reported syphilis cases in Guangdong Province, China, from January 2014 to J...

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Autores principales: Wong, Ngai Sze, Chen, Lei, Tucker, Joseph D., Zhao, Peizhen, Goh, Beng Tin, Poon, Chin Man, Yang, Ligang, Yang, Bin, Zheng, Heping, Huang, Shujie
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002518/
https://www.ncbi.nlm.nih.gov/pubmed/29904141
http://dx.doi.org/10.1038/s41598-018-27173-y
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author Wong, Ngai Sze
Chen, Lei
Tucker, Joseph D.
Zhao, Peizhen
Goh, Beng Tin
Poon, Chin Man
Yang, Ligang
Yang, Bin
Zheng, Heping
Huang, Shujie
author_facet Wong, Ngai Sze
Chen, Lei
Tucker, Joseph D.
Zhao, Peizhen
Goh, Beng Tin
Poon, Chin Man
Yang, Ligang
Yang, Bin
Zheng, Heping
Huang, Shujie
author_sort Wong, Ngai Sze
collection PubMed
description There was a varied spatial distribution of reported syphilis cases across cities in South China. This study aims to identify and describe spatiotemporal clusters of primary and secondary syphilis (P/S) cases in this region. Reported syphilis cases in Guangdong Province, China, from January 2014 to June 2015 were collected from the national centralized reporting system. Spatiotemporal clusters of P/S were identified and cross-validated by calculating local Moran’s I, performing hotspot analysis (Getis-Ord Gi*), and constructing a discrete Poisson model in SaTScan. Reported cases within and outside the clusters were compared by bivariable and multivariable logistic regression. Out of 17,691 reported P/S cases, 11% were in the identified spatiotemporal clusters. The monthly P/S notification rate (per 100,000 persons) ranged between 0.6 and 1. The identified clusters were located in 14, out of 126, counties in eight, out of 21, cities. Cases of older age, living in rural area and taking self-initiated syphilis test were more likely to be in the clusters. Some areas bore a greater burden of P/S in Guangdong Province. Routine spatiotemporal analysis of P/S cases may be useful for enhancing syphilis control programs by strategic location-based service planning.
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spelling pubmed-60025182018-06-26 Distribution of reported syphilis cases in South China: spatiotemporal analysis Wong, Ngai Sze Chen, Lei Tucker, Joseph D. Zhao, Peizhen Goh, Beng Tin Poon, Chin Man Yang, Ligang Yang, Bin Zheng, Heping Huang, Shujie Sci Rep Article There was a varied spatial distribution of reported syphilis cases across cities in South China. This study aims to identify and describe spatiotemporal clusters of primary and secondary syphilis (P/S) cases in this region. Reported syphilis cases in Guangdong Province, China, from January 2014 to June 2015 were collected from the national centralized reporting system. Spatiotemporal clusters of P/S were identified and cross-validated by calculating local Moran’s I, performing hotspot analysis (Getis-Ord Gi*), and constructing a discrete Poisson model in SaTScan. Reported cases within and outside the clusters were compared by bivariable and multivariable logistic regression. Out of 17,691 reported P/S cases, 11% were in the identified spatiotemporal clusters. The monthly P/S notification rate (per 100,000 persons) ranged between 0.6 and 1. The identified clusters were located in 14, out of 126, counties in eight, out of 21, cities. Cases of older age, living in rural area and taking self-initiated syphilis test were more likely to be in the clusters. Some areas bore a greater burden of P/S in Guangdong Province. Routine spatiotemporal analysis of P/S cases may be useful for enhancing syphilis control programs by strategic location-based service planning. Nature Publishing Group UK 2018-06-14 /pmc/articles/PMC6002518/ /pubmed/29904141 http://dx.doi.org/10.1038/s41598-018-27173-y Text en © The Author(s) 2018 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Wong, Ngai Sze
Chen, Lei
Tucker, Joseph D.
Zhao, Peizhen
Goh, Beng Tin
Poon, Chin Man
Yang, Ligang
Yang, Bin
Zheng, Heping
Huang, Shujie
Distribution of reported syphilis cases in South China: spatiotemporal analysis
title Distribution of reported syphilis cases in South China: spatiotemporal analysis
title_full Distribution of reported syphilis cases in South China: spatiotemporal analysis
title_fullStr Distribution of reported syphilis cases in South China: spatiotemporal analysis
title_full_unstemmed Distribution of reported syphilis cases in South China: spatiotemporal analysis
title_short Distribution of reported syphilis cases in South China: spatiotemporal analysis
title_sort distribution of reported syphilis cases in south china: spatiotemporal analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6002518/
https://www.ncbi.nlm.nih.gov/pubmed/29904141
http://dx.doi.org/10.1038/s41598-018-27173-y
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