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Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017

BACKGROUND: In order to generate data on the burden of foodborne diseases in Shandong Province, we aimed to use the case monitoring data of foodborne diseases from 2016 to 2017 to estimate. METHODS: Data were obtained from the foodborne disease surveillance reporting system with dates of onset from...

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Autores principales: WU, Guangjian, WANG, Liansen, WANG, Qiang, HAN, Ru, ZHAO, Jinshan, CHU, Zunhua, ZHUANG, Maoqiang, ZHANG, Yingxiu, WANG, Kebo, XIAO, Peirui, LIU, Ya, DU, Zhongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Tehran University of Medical Sciences 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500530/
https://www.ncbi.nlm.nih.gov/pubmed/31110983
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author WU, Guangjian
WANG, Liansen
WANG, Qiang
HAN, Ru
ZHAO, Jinshan
CHU, Zunhua
ZHUANG, Maoqiang
ZHANG, Yingxiu
WANG, Kebo
XIAO, Peirui
LIU, Ya
DU, Zhongjun
author_facet WU, Guangjian
WANG, Liansen
WANG, Qiang
HAN, Ru
ZHAO, Jinshan
CHU, Zunhua
ZHUANG, Maoqiang
ZHANG, Yingxiu
WANG, Kebo
XIAO, Peirui
LIU, Ya
DU, Zhongjun
author_sort WU, Guangjian
collection PubMed
description BACKGROUND: In order to generate data on the burden of foodborne diseases in Shandong Province, we aimed to use the case monitoring data of foodborne diseases from 2016 to 2017 to estimate. METHODS: Data were obtained from the foodborne disease surveillance reporting system with dates of onset from Jan 1, 2016, to Dec 31, 2017, in Shandong, China. RESULTS: The places of food exposure were categorized by settings as follows: private home, catering facility, collective canteens, retail markets, rural banquets and other. Exposed food is divided into 23 categories. Overall incidence rate and proportions by exposure categories, age, and sex-specific incidence rates were calculated and sex proportions compared. Approximately 75.00% of cases who had at least one exposure settings were in private homes. The most frequently reported exposed food was a variety of food (meaning more than two kinds of food). The two-year average incidence rate was 75.78/100,000, sex-specific incidence rate was much higher for females compared to males (78.23 vs. 74.69 cases per 100,000 population). An age-specific trend was observed in the cases reported (Chi-Square for linear trend, χ(2)=4.39, P=0.036<0.05). CONCLUSION: A preliminary estimate of 14 million cases of foodborne diseases in Shandong province each year. Future studies should focus on cross-sectional and cohort studies to facilitate the assessment of the distribution and burden of foodborne disease of the population in Shandong. Considering strengthening the burden of foodborne diseases in foodborne disease surveillance is also a feasible way.
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spelling pubmed-65005302019-05-20 Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017 WU, Guangjian WANG, Liansen WANG, Qiang HAN, Ru ZHAO, Jinshan CHU, Zunhua ZHUANG, Maoqiang ZHANG, Yingxiu WANG, Kebo XIAO, Peirui LIU, Ya DU, Zhongjun Iran J Public Health Original Article BACKGROUND: In order to generate data on the burden of foodborne diseases in Shandong Province, we aimed to use the case monitoring data of foodborne diseases from 2016 to 2017 to estimate. METHODS: Data were obtained from the foodborne disease surveillance reporting system with dates of onset from Jan 1, 2016, to Dec 31, 2017, in Shandong, China. RESULTS: The places of food exposure were categorized by settings as follows: private home, catering facility, collective canteens, retail markets, rural banquets and other. Exposed food is divided into 23 categories. Overall incidence rate and proportions by exposure categories, age, and sex-specific incidence rates were calculated and sex proportions compared. Approximately 75.00% of cases who had at least one exposure settings were in private homes. The most frequently reported exposed food was a variety of food (meaning more than two kinds of food). The two-year average incidence rate was 75.78/100,000, sex-specific incidence rate was much higher for females compared to males (78.23 vs. 74.69 cases per 100,000 population). An age-specific trend was observed in the cases reported (Chi-Square for linear trend, χ(2)=4.39, P=0.036<0.05). CONCLUSION: A preliminary estimate of 14 million cases of foodborne diseases in Shandong province each year. Future studies should focus on cross-sectional and cohort studies to facilitate the assessment of the distribution and burden of foodborne disease of the population in Shandong. Considering strengthening the burden of foodborne diseases in foodborne disease surveillance is also a feasible way. Tehran University of Medical Sciences 2019-04 /pmc/articles/PMC6500530/ /pubmed/31110983 Text en Copyright© Iranian Public Health Association & Tehran University of Medical Sciences http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
WU, Guangjian
WANG, Liansen
WANG, Qiang
HAN, Ru
ZHAO, Jinshan
CHU, Zunhua
ZHUANG, Maoqiang
ZHANG, Yingxiu
WANG, Kebo
XIAO, Peirui
LIU, Ya
DU, Zhongjun
Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017
title Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017
title_full Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017
title_fullStr Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017
title_full_unstemmed Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017
title_short Descriptive Study of Foodborne Disease Using Case Monitoring Data in Shandong Province, China, 2016–2017
title_sort descriptive study of foodborne disease using case monitoring data in shandong province, china, 2016–2017
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6500530/
https://www.ncbi.nlm.nih.gov/pubmed/31110983
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