Zahra Sedaghat; Mohammad Fararouei; Seyed Saeed Hashemi Nazari
Abstract
Background: In 2020, shortly after recognizing the COVID-19 virus in China on March 11, the World Health Organization (WHO) declared the Covid-19 outbreak a pandemic. It is estimated that COVID-19 is responsible for millions of morbidities and deaths globally, causing devastating health, social and economic ...
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Background: In 2020, shortly after recognizing the COVID-19 virus in China on March 11, the World Health Organization (WHO) declared the Covid-19 outbreak a pandemic. It is estimated that COVID-19 is responsible for millions of morbidities and deaths globally, causing devastating health, social and economic crises. This ecologic study aimed to define the correlation between a few key elements of a national health system (i.e., quality of health care services, rate of provided COVID-19 diagnostic tests, and coverage of flu vaccine in the preceding years of the COVID-19 pandemic) and the fatality rate of COVID-19 in countries that were affected by the Covid-19 epidemic in the early phase of the pandemic.Methods: In this ecological study, data regarding the total population, number of active cases, total cases, mortality, and time to peak of the COVID-19 epidemic for the countries with defined criteria and the required data available were collected from the Worldmeter database. Thehealth system quality of the selected countries was obtained using a report by WHO (Measuring Overall Health System Performance for 191 Countries). The Flu vaccine coverage of the selected populations was ordered and ranked using graphs provided by a joint VENICE–ECDC–WHO survey. The analysis was done by fitting meta-regression using rates and confidence intervals. A forest graph was used to show the summary of the results. R version 6.3 (package meta) was used to do the analysis.Results: The average Case fatality rate (CFR) of the 26 selected countries was 115 per 1000 for COVID-19. Testing for heterogeneity suggested that CFR was highly heterogeneous among the countries. The regression analysis results suggested that CFR for COVID-19 was inversely related to the rate of COVID-19 diagnostic tests and was directly related to the rate of flu vaccine coverage).Conclusion: The direct correlation between flu vaccine coverage and CFR of COVID-19 may suggest a positive effect of the natural circulation of flu infection on the effectiveness of the individuals’ immune response. Also, the natural flu infection may protect those who could not tolerate the respiratory complications of COVID-19 infection. The results may help NHSs to cope better with future pandemics. In addition, to provide a faster and more effective response to any future infectious pandemic, better access to diagnosis tests seems to be an effective approach in reducing morbidity and mortality.
Mohammad Hoseini; Solmaz Aslan Pour; Gholam Hossein Safari
Abstract
Background: Health care waste (HCW) management is highly important and has received special attention from the authorities and people. Objectives: This study was conducted to investigate the management of HCW in general and specialized hospitals of Tabriz, Iran. Methods: In this descriptive cross-sectional ...
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Background: Health care waste (HCW) management is highly important and has received special attention from the authorities and people. Objectives: This study was conducted to investigate the management of HCW in general and specialized hospitals of Tabriz, Iran. Methods: In this descriptive cross-sectional study, field investigations were conducted on gathering data on HCW management activities using the WHO questionnaire including 100 questions through observation. Results: This study indicated that the total in-use beds in the studied hospitals were 3953 beds. The total amount of generating wastes in the hospitals was 13349.5 kg day-1, of which 10059 kg day-1 (75.4%) was general waste and the remaining 24.6% (3290.5 kg day-1) was categorized as medical waste. The medical waste was categorized further into infectious (3002.50 kg day-1), sharp (171.80 kg day-1), chemical (63.15 kg day-1), and pathological (52.55 kg day-1) wastes. In general and specialized hospitals, 56% and 31% of the waste separation was at a good level, respectively. The results showed that the chemical process (37.5%) was the mostly used method for the treatment of medical waste in the studied hospitals. Conclusions: Generally, the rate of waste generation in general hospitals was more than that in specialized hospitals. Higher waste generation in general hospitals can be due to the fact that in these hospitals the amount and diversity of the health services provided were more than specialized hospitals. Good separation of general wastes from medical ones, proper health waste management, and training of staff for correct segregation of wastes can lead to a reduction of treatment charges.
Alireza Mirahmadizadeh; Mitra Rahimi Haghighi; Pegah Shoa Hagighi; Abdolrasool Hemmati; Mohsen Moghadami
Volume 3, Issue 3 , July 2015, , Pages 107-112
Abstract
Background: The dependency ratio (DR) is defined as the ratio of the non-working population to the economically active population. Dependency ratio is calculated by the sum of population under fifteen years and over 65 years divided by 15-64 year old population. The interpretation of DR variation gives ...
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Background: The dependency ratio (DR) is defined as the ratio of the non-working population to the economically active population. Dependency ratio is calculated by the sum of population under fifteen years and over 65 years divided by 15-64 year old population. The interpretation of DR variation gives us the impact of health care services and some reproductive interventions. This study analyzed a 23-year DR trend in rural population of Fars province and the effect of some fertility variables on it. Methods: In this study, using data from vital horoscope and regression analysis, we analyzed a 23-year period of DR and some fertility indicators. Results: The total DR significantly declined from 102.5% in 1990 to 41.4% in 2012 (P<0.001). Most of this reduction is attributed to reduction in young DR. Old dependency ratio (population of 65 years and more) was significantly growing (P<0.035). Number of rural health house, family planning coverage, total fertility rate and general fertility rate was significantly associated with total dependency ratio (P<0.009). Conclusion: We passed the first stage of demographic transition, i.e. young dependency ratio declining. But the old dependency ratio slowly increased; it is recommended that the health care services should be promoted in future, especially services for old age people.
