ArticleBMC public health2022
Surveillance for foodborne disease outbreaks in Zhejiang Province, China, 2015-2020.
Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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23 citing papers in PubMed.
- Sentinel Surveillance-Based Epidemiological Analysis of Foodborne Diseases in Shengsi County, China, 2019-2024.Infection and drug resistance · 2026Article
- Spatiotemporal drivers of foodborne disease seasonality pattern in a coastal city of China.BMC public health · 2025Article
- Foodborne disease outbreaks before and during the COVID-19 pandemic in Jiangsu Province, China.One health (Amsterdam, Netherlands) · 2025Article
- Descriptive study of foodborne disease outbreaks using monitoring data from foodborne disease outbreak surveillance system (FDOSS) in Jiaxing City, China, 2013-2023.BMC public health · 2025Article
- Assessing risk factors for foodborne illness in restaurants in Seoul.One health (Amsterdam, Netherlands) · 2025Article
- Combating foodborne pathogens: Efficacy of plasma-activated water with supplementary methods forFood chemistry: X · 2024Article
- Phenotypic changes and gene expression profiles of Vibrio parahaemolyticus in response to low concentrations of ampicillin.The Journal of antibiotics · 2024Article
- Construction of Prediction Model of Foodborne Disease Outbreaks and Its Trend Prediction - Guizhou Province, China, 2023-2025.China CDC weekly · 2024Article
- Determination and analysis of patulin in apples, hawthorns, and their products by high-performance liquid chromatography.Mycotoxin research · 2024Article
- An integrated FoodNet in North East India: fostering one health approach to fortify public health.BMC public health · 2024Article
- A Food Poisoning Caused byInfection and drug resistance · 2024Article
- The effect of environmental calcium on gene expression, biofilm formation and virulence ofFrontiers in microbiology · 2024Article
- Antimicrobial resistance and genomic analysis ofFrontiers in microbiology · 2024Article
- Assessment of Vibrionaceae prevalence in seafood from Qidong market and analysis of Vibrio parahaemolyticus strains.PloS one · 2024Article
- Mushroom poisoning outbreaks in Guizhou Province, China: a prediction study using SARIMA and Prophet models.Scientific reports · 2023Article
- Detection ofFoods (Basel, Switzerland) · 2023Article
- Comparison of SARIMA model, Holt-winters model and ETS model in predicting the incidence of foodborne disease.BMC infectious diseases · 2023Article
- The Rapid Detection ofFoods (Basel, Switzerland) · 2023Article
- Molecular genotyping ofOpen veterinary journal · 2023Article
- Epidemiological characteristics ofFrontiers in microbiology · 2023Article
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6 authors.
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Abstract
backgroundFoodborne diseases are a major cause of morbidity and mortality and a major public health problem worldwide. We aim to explore characteristics of foodborne disease outbreaks (FBDOs) in Zhejiang Province and to provide data support for foodborne disease prevention and control. To our knowledge, few such analyses have been published at the provincial level.
methodsDescriptive statistical methods were used to analyze the data reported by centers for disease control (CDC) at all levels in Zhejiang Province through Foodborne Disease Outbreaks Surveillance System (FDOSS) during 2015-2020.
resultsA total of 962 FBDOs were reported during this period, resulting in 8324 illnesses, 1028 hospitalizations, and 20 deaths. The number of outbreaks (410 outbreaks, 42.62%) and cases (4991 cases, 59.96%) caused by bacteria were the largest, followed by poisonous mushrooms (157 outbreaks, 587 cases), which was the main cause of death (15 deaths, 75%). The highest number of FBDOs occurred in households (381 outbreaks, 39.60%), followed by restaurants (219 outbreaks, 22.77%) and canteens (174 outbreaks, 18.08%). Animal-based foods were the most common single food reported (232 outbreaks, 24.12%), followed by poisonous mushrooms (162 outbreaks, 16.84%), and plant-based foods (133 outbreaks, 13.83%). Poisonous mushrooms took the first place in outbreaks in households (38.32%, 146/381), while bacteria took the first place in outbreaks outside households. Vibrio parahaemolyticus was responsible for the largest number of outbreaks (232 outbreaks, 24.12%), which mainly occurred in catering service units (93.10%, 216/232). Different types of bacteria tended to be found in different food categories, such as Vibrio parahaemolyticus, which was mainly found in aquatic products.
conclusionsAnalysis of FBDOs can provide insight into the most important pathogens and sources of foodborne disease, helping authorities identify high-risk etiologies, high-risk foods, and high-risk settings to guide policies that would reduce FBDOs.
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