Spatiotemporal distribution and sociodemographic and socioeconomic factors associated with primary and secondary syphilis in Guangdong, China, 2005–2017

Background Previous studies exploring the factors associated with the incidence of syphilis have mostly focused on individual-level factors. However, recent evidence has indicated that social-level factors, such as sociodemographic and socioeconomic factors, also affect the incidence of syphilis. St...

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Veröffentlicht in:PLoS neglected tropical diseases 2021-08, Vol.15 (8), p.e0009621-e0009621
Hauptverfasser: Tang, Shangqing, Shi, Lishuo, Chen, Wen, Zhao, Peizhen, Zheng, Heping, Yang, Bin, Wang, Cheng, Ling, Li
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container_issue 8
container_start_page e0009621
container_title PLoS neglected tropical diseases
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creator Tang, Shangqing
Shi, Lishuo
Chen, Wen
Zhao, Peizhen
Zheng, Heping
Yang, Bin
Wang, Cheng
Ling, Li
description Background Previous studies exploring the factors associated with the incidence of syphilis have mostly focused on individual-level factors. However, recent evidence has indicated that social-level factors, such as sociodemographic and socioeconomic factors, also affect the incidence of syphilis. Studies on the sociodemographic and socioeconomic factors associated with syphilis incidence are scarce, and they have rarely controlled for spatial effects, even though syphilis shows spatial autocorrelation. Methodology/Principal findings Syphilis data from 21 cities in Guangdong province between 2005 and 2017 were provided by the National Notifiable Infectious Disease Reporting Information System. The incidence time series, incidence map, and space-time scanning data were used to visualize the spatiotemporal distribution. The spatial panel data model was then applied to explore the relationship between sociodemographic factors (population density, net migration rate, male:female ratio, and the number of health institutions per 1,000 residents), socioeconomic factors (gross domestic product per capita, the proportion of secondary/tertiary industry), and the incidence of primary and secondary syphilis after controlling for spatial effects. The incidence of syphilis increased slowly from 2005 (11.91 per 100,000) to 2011 (13.42 per 100,000) and then began to decrease, reaching 6.55 per 100,000 in 2017. High-risk clusters of syphilis tended to shift from developed areas to underdeveloped areas. An inverted U-shaped relationship was found between syphilis incidence and gross domestic product per capita. Moreover, syphilis incidence was significantly associated with population density ([beta] = 2.844, P = 0.006), the number of health institutions per 1,000 residents ([beta] = -0.095, P = 0.007), and the net migration rate ([beta] = -0.219, P = 0.002). Conclusions/Significance Our findings suggest that the incidence of primary and secondary syphilis first increase before decreasing as economic development increases further. These results emphasize the necessity to prevent syphilis in regions at the early stages of economic growth.
doi_str_mv 10.1371/journal.pntd.0009621
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However, recent evidence has indicated that social-level factors, such as sociodemographic and socioeconomic factors, also affect the incidence of syphilis. Studies on the sociodemographic and socioeconomic factors associated with syphilis incidence are scarce, and they have rarely controlled for spatial effects, even though syphilis shows spatial autocorrelation. Methodology/Principal findings Syphilis data from 21 cities in Guangdong province between 2005 and 2017 were provided by the National Notifiable Infectious Disease Reporting Information System. The incidence time series, incidence map, and space-time scanning data were used to visualize the spatiotemporal distribution. The spatial panel data model was then applied to explore the relationship between sociodemographic factors (population density, net migration rate, male:female ratio, and the number of health institutions per 1,000 residents), socioeconomic factors (gross domestic product per capita, the proportion of secondary/tertiary industry), and the incidence of primary and secondary syphilis after controlling for spatial effects. The incidence of syphilis increased slowly from 2005 (11.91 per 100,000) to 2011 (13.42 per 100,000) and then began to decrease, reaching 6.55 per 100,000 in 2017. High-risk clusters of syphilis tended to shift from developed areas to underdeveloped areas. An inverted U-shaped relationship was found between syphilis incidence and gross domestic product per capita. Moreover, syphilis incidence was significantly associated with population density ([beta] = 2.844, P = 0.006), the number of health institutions per 1,000 residents ([beta] = -0.095, P = 0.007), and the net migration rate ([beta] = -0.219, P = 0.002). Conclusions/Significance Our findings suggest that the incidence of primary and secondary syphilis first increase before decreasing as economic development increases further. These results emphasize the necessity to prevent syphilis in regions at the early stages of economic growth.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0009621</identifier><identifier>PMID: 34383788</identifier><language>eng</language><publisher>San Francisco: Public Library of Science</publisher><subject>Autocorrelation ; Biology and Life Sciences ; Data models ; Demographic aspects ; Disease prevention ; Distribution ; Earth Sciences ; Economic development ; Economic growth ; Economics ; GDP ; Gross Domestic Product ; Hypotheses ; Infectious diseases ; Information systems ; Lagrange multiplier ; Medicine and Health Sciences ; Per capita ; Population density ; Risk factors ; Sexually transmitted diseases ; Social factors ; Social Sciences ; Sociodemographics ; Socioeconomic data ; Socioeconomic factors ; Socioeconomics ; Spacetime ; Spatial data ; Spatial distribution ; STD ; Syphilis ; Temporal distribution ; Tertiary ; Tropical diseases ; Variables</subject><ispartof>PLoS neglected tropical diseases, 2021-08, Vol.15 (8), p.e0009621-e0009621</ispartof><rights>COPYRIGHT 2021 Public Library of Science</rights><rights>2021 Tang et al. 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However, recent evidence has indicated that social-level factors, such as sociodemographic and socioeconomic factors, also affect the incidence of syphilis. Studies on the sociodemographic and socioeconomic factors associated with syphilis incidence are scarce, and they have rarely controlled for spatial effects, even though syphilis shows spatial autocorrelation. Methodology/Principal findings Syphilis data from 21 cities in Guangdong province between 2005 and 2017 were provided by the National Notifiable Infectious Disease Reporting Information System. The incidence time series, incidence map, and space-time scanning data were used to visualize the spatiotemporal distribution. The spatial panel data model was then applied to explore the relationship between sociodemographic factors (population density, net migration rate, male:female ratio, and the number of health institutions per 1,000 residents), socioeconomic factors (gross domestic product per capita, the proportion of secondary/tertiary industry), and the incidence of primary and secondary syphilis after controlling for spatial effects. The incidence of syphilis increased slowly from 2005 (11.91 per 100,000) to 2011 (13.42 per 100,000) and then began to decrease, reaching 6.55 per 100,000 in 2017. High-risk clusters of syphilis tended to shift from developed areas to underdeveloped areas. An inverted U-shaped relationship was found between syphilis incidence and gross domestic product per capita. 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subjects Autocorrelation
Biology and Life Sciences
Data models
Demographic aspects
Disease prevention
Distribution
Earth Sciences
Economic development
Economic growth
Economics
GDP
Gross Domestic Product
Hypotheses
Infectious diseases
Information systems
Lagrange multiplier
Medicine and Health Sciences
Per capita
Population density
Risk factors
Sexually transmitted diseases
Social factors
Social Sciences
Sociodemographics
Socioeconomic data
Socioeconomic factors
Socioeconomics
Spacetime
Spatial data
Spatial distribution
STD
Syphilis
Temporal distribution
Tertiary
Tropical diseases
Variables
title Spatiotemporal distribution and sociodemographic and socioeconomic factors associated with primary and secondary syphilis in Guangdong, China, 2005–2017
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