Showing 3 results for Sedighi
S Heidari, M Karami, Sm Zahraei, I Sedighi, F Azimian Zavareh,
Volume 17, Issue 3 (Vol 17,No.3, Atumn 2021 2021)
Abstract
Background and Objectives: Given the importance of the early detection of any outbreak or change in the trend of meningitis, this study was conducted to estimate the fixed and dynamic alarm threshold levels of meningitis and its outbreak in Iran.
Materials and Methods: In this study, the data of all patients from 20¬ March 2016 to 20 March 2019 were extracted from the National Meningitis Disease Surveillance System. Alarm threshold levels were calculated separately for different seasons and provinces. To determine the alarm threshold levels, four methods of Upper Control Limit (UCL), relative increase, statistical cut off points, and recommendations provided by the World Health Organization were used.
Results: The alarm threshold levels for confirmed cases were determined for Iran according to the upper limits of cumulative sum (CUSUM) algorithm and the statistical cut off points based on the 90th percentile, 2 cases per day for Iran. The fixed amount was 3 to 5 cases per week in populations under 30,000 and 5 to 7 per week in populations between 30,000 and 100,000. According to the relative increase method, a 30% increase in one week compared to previous weeks was considered as the threshold level.
Conclusion: The use of alarm threshold levels reported in this study can be a basis for detecting meningitis outbreaks.
A Hosseinzadeh, Mr Baneshi, B Sedighi, J Kermanchi, Aa Haghdoost,
Volume 18, Issue 1 (Vol.18, No.1, Spring 2022 2022)
Abstract
Background and Objectives: Dementia is a chronic disease that imposes a huge financial and social burden on the health system. Knowledge of the prevalence of dementia is essential for healthcare planning and ensuring that there is an adequate service for people with the condition. Considering that the prevalence and geographical variation of dementia are not well known in Iran, the present study was conducted to investigate the prevalence of dementia and its geographic variations in Iran.
Methods: In this study, the prevalence of dementia was estimated indirectly using the frequency of prescribed specialized medicines in one year by generic and brand names in each province. Choropleth maps were used to visually assess the geographical variation of dementia prevalence at the provincial level. Moran I and Getis-Ord Gi (Gi) geographical tests were used to investigate the spatial autocorrelation and geographical variability of dementia prevalence at a significant level of 0.05, respectively.
Results: In this study, the prevalence of dementia was 49.6 and 508.9 in 100000 in the general and over 60-year population, respectively. In the general population, the lowest prevalence was in Hormozgan Province (9.4/100000) and the highest prevalence was in East Azarbayjan Province (96.4/100000). In the over 60-year population, the lowest prevalence was in Hormozgan Province (141.5/100000) and the highest in Isfahan Province (862.5/1000000). According to Moran I and Getis-Ord Gi (Gi) tests, spatial autocorrelation and geographical variability of dementia prevalence were not significant.
Conclusion: The prevalence of dementia in the Iranian over 60-year population is lower compared to western countries; however, it is comparable with the reported dementia prevalence from developing countries. It should be noted that the dementia prevalence is high, similar to developed countries, in some developed provinces of Iran.
Tina Fallah, Ameneh Elikaei, Roxana Mansour Ghanaie, Abdollah Karimi, Iraj Sedighi, Marjan Tariverdi, Arezu Amirali, Tayebe Nazari, Negin Nahanmoghadam, Alireza Nateghian, Seyed Hamidreza Monavari, Seyed Mohsen Zahraei, Sussan Mahmoudi, Masoud Alebouyeh,
Volume 19, Issue 1 (Vol.19, No.1, Spring 2023)
Abstract
Background and Objectives: Identification of rotavirus genotypes in children is clinically important. This study aimed to determine the spectrum of rotavirus genotypes and assess their correlation with demographic variables and clinical manifestations in hospitalized children.
Methods: To determine rotavirus genotypes, rotavirus positive stool samples of symptomatic children were included in the study between December 2019 and March 2020. RNA extraction and cDNA synthesis for VP7 and VP4 genes were performed following standard protocols. Genotypes were determined using specific primers. Validation of results was done through sequencing and bioinformatic analysis. Data were statistically analyzed using SPSS version 20 and GraphPad version 9.5.0.
Results: Among the infected patients, three genotypes emerged as dominant in the studied population. The study demonstrated a significant correlation between genotype frequency and seasonal variations (p-value=0.0077), as well as between genotypes, hospitalization, and severity of diarrhea. While significantly more types of rotavirus group A were identified with increasing age, no correlation was observed between the genotypes and gender (p-value=0.473). Furthermore, there was no significant association between genotype, dehydration rates, and the presence or absence of fever.
Conclusion: This study revealed a relatively high diversity of rotavirus genotypes in children. The findings suggest the need for further research to validate the identified correlations between certain genotypes and age groups, seasonal variations, clinical symptoms, and the efficacy of available vaccines.
