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Background: OVID-19 is a major cause of morbidity and mortality worldwide. The closure of governmental and nongovernmental centers as well as social, cultural, and economic activities are other major negative impacts of the virus. The present paper aimed to develop a model of economic and health-related factors which affect the reopening of businesses and the proper management of the effect of virus on different aspects, particularly on people’s health and economy. Methods: In order to facilitate decision-making and model risk analysis of guilds and occupations, an expert panel, including eight 8 experts, was convened by the Ministry of Health in Iran to prepare a strategic framework for the national taskforce of COVID-19 management. The panel spent many hours to prepare a simple model of reopening businesses and prioritize them from low to high risks. Results: The experts identified and weighed seven health and three economic-related factors. The businesses and jobs were classified into 69 categories based on their similarities; they were also graded according to a predefined five- point Likert scale and categorized into three levels of low, medium, and high risk. The policymakers recommended to reopen businesses stratified by risk levels at least two weeks’ intervals. Conclusion: The relaunch strategy in Iran put health and safety first while gradually reopening businesses, resuming activities, and getting people back to work. At the same time, attempts were made to slow the spread of the virus through following public health measures, social distancing, good hygiene, and continued acting responsibly. As many countries may have to deal with the same issue, this model can help them adopt appropriate policies and strategies for disease containment.

Background: In the coming years and near future, Iran will experience a main demographic transition resulting in an aging phenomenon and increased number of people over 65 years. Aging leads to increased medical expenditures associated with chronic diseases such as osteoporosis. This study aimed to investigate the patient-specific hospitalization costs of osteoporosis treatment in elderly patients. Methods: A retrospective cost analysis of hospitalization arising from osteoporosis conducted on all the elderly patients (adults aged 65 years and above) in a teaching hospital in Tehran through examining hospital admissions during 2017. The elderly patients consisted of 295 with a length of stay ≥ 24 hours. Cost analysis was performed using a bottom-up micro-costing approach and payer perspective (patient and insurer); and the result was statistically significant (p≤0.05). Nonparametric tests, including Mann–Whitney and Kruskal–Wallis tests, were used to investigate the relationship between affecting variables. Hospital training was considered as a control variable. The data were analyzed using SPSS 11 software Results: The mean age of the patients was 71.3 years; of the patients, 79% were female and 21% male. The overall crude prevalence of osteoporosis was 80% among people ≥ 65 years and 85% among patients who experienced relevant surgeries. The average cost of hospitalization was $3794.13. Also, 3 main areas of hospital costs were identified: consumables (57.70%), hoteling (17.24%), and surgical services (15.76%). The prevalence of osteoporosis was 4 times higher in women compared with men. Moreover, there were significant differences between the variables affecting hospital costs, such as gender, length of stay, diagnosis, intensive care unit services, and surgery (p