Z Torabi, Sh Nematollahi, E Ahmadnezhad, K Holakoie Naieni ,
Volume 14, Issue 2 (9-2018)
Abstract
Background and Objectives: Epidemics of diarrhea caused by contaminated food and water occur frequently worldwide, especially in developing countries. The aim of this study was to identify the factors contributing to the development and spread of diarrhea epidemics caused by Shigella flexneri in Isfahan in the spring of 2015.
Methods: Following the first reports and activation of the surveillance system, a matched case-control study was conducted in 360 cases with diarrhea and 360 controls. Data were gathered using a questionnaire, and conditional logistic regression was used to provide adjusted odds ratios and 95% confidence intervals.
Results: Consumption of contaminated fresh vegetable (OR=4.50, 95% CI=2.88-7.01) was the source of the epidemic. Contact with similar patients (OR=7.19, 95% CI=4.26-12.12), presence of similar patients in the family (OR=33.2, 95% CI=13.64-80.82), food consumption on special events (party, wedding ceremony, funeral, etc.) (OR=1.67, 95% CI=1.06-2.62), being a government employee (OR=3.08, 95% CI=1.64-5.78) and being illiterate (OR=2.91, 95% CI=1.10-7.67) were the risk factors of the spread of the epidemic.
Conclusion: In this study, consumption of fresh vegetable contaminated with Shigella flexneri was the source of the infection. According to the Epidemic Management Team, contamination occurred due to non-standard wastewater irrigation of agricultural lands. Therefore, it is important to consider the standards of agricultural production and compilation of a comprehensive program to improve the status of the wastewater purification system in the environmental sciences by the relevant organizations to prevent diarrhea epidemics.
K Sharifolkashani, P Yavari, , R Shekarriz, F Tajdini, N Aghili,
Volume 16, Issue 4 (3-2021)
Abstract
Background and Objectives: Correct and timely detection of the outbreaks of diseases with a short incubation period is of great importance in the health system. The aim of this study was to determine the detection of dysentery outbreaks using the cumulative sum method.
Methods: This time series study was conducted using the data of the National Surveillance System between 2014 and 2017. The outbreak alert threshold of each season and province was determined separately using the average of three years (1393 to 1395) in the same season and province. The dysentery outbreak in each season was exclusively predicted for Isfahan, Khuzestan, and Hamadan provinces in 2017 using the CUSUM method.
Results: In Isfahan Province, the outbreak alert was higher in the spring and summer and lower in the autumn and winter using the current method compared to the CUSUM method. For Khuzestan Province, the current outbreak alert was significantly higher in all seasons compared to the CUSUM method, while the current outbreak alert was lower than the alert predicted by the CUSUM method in Hamadan Province in all the seasons.
Conclusion: Compared to constant threshold-based methods, using the CUSUM method seems to be a better way for reporting outbreaks, especially in areas with a high incidence.
