Showing 2 results for Mohammadsalehi
A Mohammadbeigi, J Hassanzadeh, B Eshrati, N Mohammadsalehi,
Volume 9, Issue 2 (Vol 9, No 2, Summer 2013 2013)
Abstract
Background and Objectives: Inequity in health is a universal term which used for showing current differences, variations and inequalities of people in access to health. But inequality in health refers to some inequities which seems are unfair or caused by some errors and biases. The current study aimed to describe some of the common health related inequity measures to be useful for the inequity researchers and other interested health coworkers.
Methods: The calculation, advantage and disadvantage of most common health-inequity indexes including slope index of inequity, relative index of inequality, Theil’s Index, mean log deviation, index of disparity, Gini coefficient, weighted utilization social welfare function, absolute and relative concentration index were assessed. Inequity size of these measures was calculated by using the health care utilization survey data.
Results: Average of health care utilization in in-need subjects was 66.4%. This indicator was in the first to fifth quintiles equal to 57.6%, 63.4%, 71.6%, 69.5% and 75.3%, respectively. Relative concentration index and Gini coefficient was calculated as 0.053 and 0.0062, respectively.
Conclusion: Inequity in health care utilization in Markazi province differs based on the types of inequity measures. Selection of the inequity indexes dependent to the objective and the scale of under study variable. Among discussed indexes, concentration index determine the more accurate and also show the gradient of inequity. Therefore it can be used as the best index.
N Mohammadsalehi, K Holakouie Naieni , B Eshrati, A Mohammadbeigi, E Ahmadnezhad, Sh Arsangjang,
Volume 14, Issue 1 (Vol 14, No 1, 2018)
Abstract
Background and Objectives: Cholera is one of the public health ththat has received attention due to climate change and weather variables. In the current study, the trend of cholera and its epidemics was assessed in the last 50 years in Iran based on climatic variables.
Methods: In a retrospective cohort study, all cholera cases and epidemics of the disease in the country (Iran) were assessed using the registry system of the Center for Communicable Disease Control in the Ministry of Health and Medical education (MOH&ME) from 1964 to 2014. Furthermore, the incidence of cholera was evaluated in 2005-2014 by province. The temperature and rainfall data were obtained from the provincial Meteorological Organization. The correlation coefficient test and mixed-effects binomial regression model were used for data analysis.
Results: A significant positive correlation was found between cholera and rainfall (r = 0.168, P = 0.008). A one-millimeter increase in rainfall increased the incidence of cholera by 10.9% but temperature changes had no effect on cholera outbreaks. The incidence of cholera declined significantly by 14.7% each year from 2005 to 2014. The highest incidence of cholera was reported in Sistan-Baluchestan, Qom, Tehran, Kerman and Hormozgan provinces in a descending order.
Conclusion: In recent years, the the overall incidence of cholera has decreased. The occurrence of cholera is an outcome of rainfall in the previous year. Therefore, increased rainfall increases the number of cholera cases in the next year. However, temperature changes are not related to cholera outbreaks.
