Ar Baghestani, A Teymourpour, Y Bashiri,
Volume 11, Issue 1 (Vol 11, No 1 2015)
Abstract
Background & Objectives: In the analysis of mortality trend in the Iran that is basically a sequences of observations sorted by time, there is a point where the statistical properties of the mortality trend change so that the first k0 observations have a distribution of F0 and other n-k0 observations have a distribution of F1. The point k0 is unknown and called the change point. The aim of this paper was to detect the location of the change point and estimate it in the real mortality data of the country.
Methods: In this study, Xt indicated the number of mortality in time t (year) and because of the numeric nature of the variable, we considered the Poisson model for the variable Xt.
We assumed in early years (t0), Xt had a Poisson distribution with a mean of ʎ0 and for later years (t>k0), Xt had a Poisson distribution with a mean of ʎ1 .In theory, we used the MIC method, a modification of the SIC method. For detecting more than one change point, we used the binary segmentation process in the mortality trend.
Results: The results showed that the change point occurred in 1993 and 1997.
Conclusion: The finding of this study showed three periods with different rates in the mortality trend of Iran.
Z Cheraghi, H Mahjub, A Ghalehiha, S Bashirian, H Tayybeenia, A Rahmani, B Naghsh Tabrizi , N Shir Mohammadi , A Farhadi, M Asgarinia, M Karami,
Volume 14, Issue 4 (Vol.14, No.4, 2019)
Abstract
Background and Objectives: Prioritizing the list of required research, taking into account the real needs and problems of the health sector, provides a ground for justice; strengthens the link between research, action, and policy; and addresses the needs of vulnerable groups. The present study was done to formulate research priorities of Hamadan University of Medical Sciences using the opinions of experts in the field of health as a positive step towards proper allocation of research resources of the University to solve the problem.
Methods: In this study, the research priorities of Hamadan University of Medical Sciences in 13 domains during 2017 were ranked using 10 standard criteria according to the Essential National Health Research (ENHR) approach.
Results: Forty inter and intra beneficiaries were participated in this study. During the sessions, using group training techniques (brain storming), the topics were discussed, resulting in identifying 122 topics in 13 domains. In each of these domains, top 10 topics with the highest ranks were determined as the research priorities of Hamadan University of Medical Sciences.
Conclusion: Determination of research priorities at a provincial level based on the ENHR approach was conducted in Hamadan University of Medical Sciences with the cooperation of all health stakeholders for the first time. The result of this study will play an important role in optimum use of resources of the research and technology domain of Hamadan University of Medical Sciences by directing research projects according to the identified priorities.
M Karami, S Khazaei, F Shahbazi, M Mirzaei, A Biglarkhani, A Ataei, Seyed Jalalodin Bathaei, A Zahiri, M Shojaeyan, R Zamani, Ae Karshenas, F Heeders-Moghis, K Hamelmann, R Heidari Moghadam, I Khodadadi-Kahlan, S Bashirian, F Keramat, Sh Hashemi, E Jalili, F Azizi-Jalilian,
Volume 17, Issue 3 (Vol 17,No.3, Atumn 2021 2021)
Abstract
Background and Objectives: The aim of this study was to investigate the epidemiological characteristics of patients with Covid-19 in Hamadan Province.
Materials and Methods: In this descriptive cross-sectional study, demographic and epidemiological data of all people who presented to hospitals in Hamadan Province from February 2019 to December 2020 were extracted using two checklists. Data were then analyzed using the Stata software.
Results: In this study, 9674 covid-19 positive patients were examined. According to results, 49.11% of the cases occurred in the elderly over 60 years. The rate of involvement was higher in females than males (51.57% vs. 48.43%). Moreover, 72.05% of the definitive patients lived in the city and 0.76% reported traveling to areas with a high prevalence of the disease two weeks before the onset of symptoms. The highest incidence of this disease per one hundred thousand population was in Malayer, Hamedan and Nahavand counties and the highest fetality was in Razan and Dargazin, Tuyserkan and Asadabad counties, respectively. The data of suspected, probable, and definite outpatients with Covid-19 presenting to medical centers were not evaluated in this study.
Conclusion: Due to the high death rate in the elderly, males, those with underlying diseases, and people living in rural areas, it is necessary to design and apply precautionary measures in these groups. Attention should be paid to these high-risk groups in the shortest possible time to reduce the burden of this disease on individuals as well as the health care system.
