The mental health impact of COVID-19 outbreak: A nationwide survey in Iran

Background: Disease outbreak not only carries the risk of death to the public due to the infection, but it also can lead to unbearable psychological impact on the mental health of the individuals. This study aims to explore and evaluate the burden of psychological problems on the Iranian general population during the outbreak of COVID-19. Method: A cross-sectional web-based survey was conducted among the general population of Iran age 15 and above. Demographic variables, depression, and anxiety symptoms were evaluated using the Patient Health Questionnaire-9 and General Anxiety Disorder-7 questionnaires. Results: Among the 8591 participants, the mean age was 34.37 (+/- 11.25) years and 66.4% were female while 33.6% were male. Based on our results, 1295 (15.1%) and 1733 (20.1%) of the general population had clinically significant depressive and anxiety symptoms, respectively. Based on the demographic variables, female gender was associated with a higher risk for developing depression and anxiety symptoms, whereas getting information about the disease from medical journals and articles, being older, and being married were considered as associated protective factors. In terms of depression, being a healthcare worker was an associated risk factor. On the other hand, for anxiety, having higher education was a protective factor while a higher number of individuals in a household was considered as a risk factor. Conclusions: This study identified a major mental health problem in the Iranian population during the time of the COVID-19 outbreak. Therefore, establishing a targeted mental health support program during the time of public emergencies, such as the disease outbreak, is advised. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Correlation Between Diabetes and COVID-19 Indices: A Global Level Ecological Study.

Introduction: Coronavirus is threatening the global public health as a new and widespread crisis. The researchers must keep in mind that one of the most vulnerable groups to COVID-19 are the people with underlying diseases, especially diabetes. Objective: This ecological study aimed to investigate the correlation between diabetes and the epidemiological indices of COVID-19. Methods: This ecological study included 144 countries. Their available data consists of the cumulative incidence rate of cases, cumulative incidence rate of death, recovery rate, case fatality rate, and performed tests of COVID-19, and diabetes. To collect the variables, a data set was provided which included the information of 144 countries based on diabetes and COVID-19 indices. Spearman coefficients were used for assess correlation between diabetes and COVID-19 indices. Also, Scatter plots of diabetes for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Results: The results of this ecological study showed in total countries, there was a weak positive correlation between diabetes and cumulative incidence rate of cases and also cumulative incidence rate of death. Correlation between diabetes with test of COVID-19 was very weak. Scatter plots showed a weak liner correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death and test of COVID-19. Conclusions: In this study, there was a weak positive correlation between diabetes and cumulative incidence rate of cases, cumulative incidence rate of death, and performed test of COVID-19. This disease is an enormous challenge for health policymakers; therefore, it is necessary to develop strategies and practical guidelines specific to each region to take the necessary care, especially for diabetic patients.

The effect of COVID-19 pandemic on diabetes care indices in Southern Iran: an interrupted time series analysis.

BACKGROUND: Type 2 diabetes mellitus (T2DM) requires a continues bulk of cares. It is very probable COVID-19 pandemic is affected its healthcare coverage. METHODS: The interrupted time series analysis is used to model the trend of diabetes healthcare indices, such as the health worker visits, physician visits, body mass index (MBI), fasting blood sugar (FBS), and hemoglobin A1c (HbA1c), before and after the start of COVID-19 pandemic. The reference of data was the totals of all T2DM patients living in Fars Province, Southern Iran, areas covered by Shiraz University of Medical Science (SUMS), from 2019 to 2020. RESULTS: A significant decrease for visits by the health workers, and physicians was observed by starting COVID-19 pandemic (ß2 = -0.808, P < 0.001, ß2 = -0.560, P < 0.001); Nevertheless, the coverage of these services statistically increased by next months (ß3 = 0.112, P < 0.001, ß3 = 0.053, P < 0.001). A same pattern was observed for the number of BMI, FBS and HbA1c assessments, and number of refer to hospital emergency wards (ß3 = 0.105, P < 0.001; ß3 = 0.076, P < 0.001; ß3 = 0.022, P < 0.001; ß3 = 0.106, P < 0.001). The proportion of T2DM patients with HbA1C < 7%, and controlled hypertension during study period was statistically unchanged. CONCLUSIONS: When the COVID-19 pandemic was announced, T2DM healthcare coverage drastically decreased, but it quickly began to rebound. The health monitoring system could not have any noticeable effects on diabetes outcomes.

Comparison of in-hospital mortality of COVID-19 between pregnant and non-pregnant women infected with SARS-CoV-2; a historical cohort study.

OBJECTIVES: This study aimed to compare pregnant and non-pregnant women infected with SARS-CoV-2 disease (COVID-19) in terms of in-hospital mortality. METHODS: This historical cohort study was conducted on hospitalized women of reproductive ages (15-49 years) infected with SARS-CoV-2 in Fars province, Iran during 15 March 2019-10 May 2021. RESULTS: Out of the 5,322 patients, 330 were pregnant. The fatality rate of SARS-CoV-2 was 1.2% amongst pregnant women and 3.5% amongst non-pregnant ones. Pregnant and non-pregnant women reported the same history of smoking, opium use, previous COVID-19 infection, vaccination against SARS-CoV-2, and COVID-19 symptoms (p>0.05 for all). However, the pregnant women were younger and had fewer underlying diseases (p<0.001 for both). The results revealed no significant difference between the two groups regarding in-hospital clinical manifestations including the number of days after the onset of COVID-19 symptoms, mechanical ventilation, and long involvement (cRR; 95% CI=0.99 (0.96-1.02), 1.18 (0.72-2.02), and 0.95 (0.88-1.02), respectively). Nonetheless, Intensive Care Unit (ICU) admission was significantly higher in pregnant women (cRR; 95% CI=2.37(1.85-3.02)). After adjusting for age, history of underlying diseases, and ICU admission, pregnant women showed lower in-hospital mortality due to COVID-19 compared to non-pregnant women (aRR; 95% CI=0.32 (0.12-0.87)). CONCLUSIONS: Based on the current study findings, pregnant women showed lower in-hospital mortality due to COVID-19 compared to non-pregnant ones. Nevertheless, they should follow the same recommendations as non-pregnant women, avoiding exposure to the virus and receiving medical treatment and vaccination. Further studies are recommended to address the follow-up of recovered pregnant women, their babies, and puerperium.

Effect of the COVID-19 pandemic on maternal healthcare indices in Southern Iran: an interrupted time series analysis.

OBJECTIVES: Epidemics are anticipated to influence the coverage of health services. We assessed the impact of the COVID-19 pandemic on maternal healthcare indices and care providers' performance. SETTING: 1801 maternal healthcare centres under the auspices of Shiraz University of Medical Sciences, Shiraz, Southern Iran. PARTICIPANTS: Approximately 63 000 pregnant women. PRIMARY AND SECONDARY OUTCOME MEASURES: In this prospective ecological study, interrupted time series analysis was used to model and compare the trend of maternal healthcare indices before and after the COVID-19 pandemic announcement. RESULTS: The results showed a significant drop in count of preconception healthcare visits, first routine laboratory tests, first trimester prenatal care, first trimester sonography, prenatal screening for birth defects at weeks 11-13, prenatal care visits at weeks 16-20, second routine laboratory tests, second trimester sonography, prenatal care visits at weeks 24-30, prenatal care visits at weeks 31-34, postpartum care visits at days 10-15 and postpartum care visits at days 30-42 with the start of the COVID-19 pandemic (-50% (95% CI -48.68% to -51.36%), -19.67% (95% CI -22.12% to -17.15%), -25.88% (95% CI -28.46% to -23.21%), -23.84% (95% CI -26.26% to -21.34%), -20.16% (95% CI -23.01% to -17.20%), -18.53% (95% CI -21.25% to -15.71%), -28.63% (95% CI -31.03% to -26.14%), -27.48% (95% CI -30.07% to -24.79%), -31.08% (95% CI -33.43% to -28.61%), -31.84% (95% CI -34.35% to -29.23%), 32.55% (95% CI -35.12% to -29.89%) and -39.28% (95% CI -41.59% to -36.88%), respectively). Nevertheless, the trend in coverage of these services showed recovery in the subsequent months (8.36%, 10.55%, 5.74%, 8.01%, 4.40%, 5.06%, 11.20%, 7.58%, 7.38%, 7.80%, 9.59% and 9.61% per month, respectively). CONCLUSIONS: Using ecological data during the COVID-19 pandemic era, we observed a 'level change and slope change' as the major pattern of interruption of maternal healthcare coverage, indicating a possible indirect effect rather than a causative relationship. Such relative predictability might assist with future pandemic planning.

COVID-19 Vaccine Acceptance and Its Risk Factors in Iranian Health Workers 2021.

Background: Ensuring vaccine acceptance in societies is a growing challenge for healthcare systems worldwide. This study aimed to identify factors associated with vaccine acceptance rates. Methods: This cross-sectional study was conducted as a national web-based survey from February 9th-13th, 2021, just before the release of the COVID-19 vaccine in Shiraz, Iran. Independent variables included age, gender, occupation, history of COVID-19 infection, underlying diseases, and source of information. The willingness to be vaccinated was the dependent variable. A logistic regression analysis was performed to determine the relationship between different variables and the willingness to receive the COVID-19 vaccine. The significance level was set at less than 0.05. The data were analyzed using SPSS software version 21. Results: Of 2,699 healthcare respondents, 70.3% indicated a willingness to receive the COVID-19 vaccine, of whom 49.2% preferred to receive a foreign vaccine and 24.68% desired to receive an Iranian vaccine. The women were more willing to receive the vaccine (67.6%) than the men (78.2%). Based on the results of logistic regression, gender (P<0.001) and job (P=0.005) were the most important associating factors to the willingness to receive the COVID-19 vaccine. Conclusion: Although the majority of participants were willing to receive the COVID-19 vaccine, 29.6% were not yet ready. Women's healthcare providers were more hesitant to recommend the vaccine. As a result, the findings of this study can help policymakers and decision-makers in the field of health, treatment, and prevention of COVID-19 in raising the level of vaccination awareness among healthcare workers.

Estimation of the Reproductive Number Trend of the Novel Coronavirus "COVID-19" in Southern Iran from July to November 2020.

Background: Effective measures to control COVID-19 should be based on an understanding of its epidemiological pattern and the evaluation of its prevalence in the community. This study aimed to examine the reproductive number (R) of COVID-19 and its trend in Fars Province in southern Iran. Methods: In this ecological study, the R trend was examined from July to November 2020. Data were collected from the daily reports of Shiraz University of Medical Sciences. R is the product of three components, namely the number of infection-producing contacts per unit time, the probability of transmission per contact, and the contagiousness period. Incidence and prevalence rates were used to calculate R. The R value was calculated in Microsoft Excel 2016. Results: The first and second peaks of COVID-19 were observed on July 6th and November 22nd, respectively. The median and mean of R were 1.42 and 1.41, respectively. The highest and lowest values of R were observed on October 20th (2.60) and September 1st (0.46), respectively. The values of R had a slightly decreasing trend in the second half of July and November than the first half. In the second half of August and September, an increasing trend was observed than the first half. There was not much change in the second half of October. Conclusion: The highest value of R was related to the dates when there was a higher probability of exposure to the virus, including public holidays and different occasions on which the probability of people's participation in ceremonies, communities, and gatherings was higher.

Correlation between human development index and its components with COVID-19 indices: a global level ecologic study.

BACKGROUND: Given that COVID-19 continues to spread worldwide, attempts to restrain the virus and to prevent the effects that critically ill patients with COVID-19 have on healthcare systems, has become a public health priority. This ecological study aimed to investigate the correlation between the Human Development Index (HDI) and the epidemiological indicators of COVID-19, including the cumulative incidence rate of cases, the cumulative incidence rate of death, performed COVID-19 tests per million, recovery rate, and case fatality rate. METHODS: In this ecological study, a data set was provided, which included the epidemiologic indices of COVID-19, HDI, and its components for each country. Correlation coefficients were used to determine linear correlation. Also, the scatter plots of the HDI for the studied countries based on the epidemiologic indices of COVID-19 were drawn. RESULTS: This study showed that HDI and its components had positive correlation with a cumulative incidence rate of cases, the cumulative incidence rate of death, and performed COVID-19 tests (p < 0.001). HDI and two of its components, including literacy and Gross National Income (GNI) components had negative correlation with case fatality rate (CFR). Also, HDI and two of its components, including literacy and life expectancy components had negative correlation with recovery rate. CONCLUSION: Our study showed that the HDI and its components can affect the epidemiological status of COVID-19. As HDI increased, the cumulative incidence rate of cases, cumulative incidence rate of death, and COVID-19 tests increased as well. As HDI increased, CFR and recovery rate decreased as well. Although the HDI is higher in high-income countries, these countries may have also better reporting and surveillance systems.

Components Affecting the Promotion of COVID-19 Disease Prevention Behaviors among Iranian Students: A Qualitative Study by Using the PRECEDE Model.

Background: COVID-19 is a social health problem. Several risk factors threaten students, and schools can provide a suitable environment for managing and performing health promotion programs. Given the extensive spread of the disease and the existence of multilevel components affecting the adoption of preventive behaviors, understanding the views and opinions of the audience about the barriers and facilitators affecting the behavior using qualitative studies can be one of the ways to have a successful intervention. Materials and Methods: This was a qualitative study performed by a directed content analysis method while using the PRECEDE model (predisposing, reinforcing, enabling constructs in educational diagnosis and evaluation). In total, 38 individuals (teachers, parents, and students) were entered into the study using the purposive sampling method. Data were collected by semistructured interviews, and the implemented data were systematically classified into five stages (condensed meaning units, code, subcategory, category, and theme) and were arranged and analyzed. Results: The findings are classified into three themes of predisposing, enabling, and reinforcing factors. In addition, perceived sensitivity, perceived intensity, mental beliefs, behavior outcome evaluation, and perceived power were considered as subcategories of predisposing factors, whereas normative beliefs and motivation for adherence to protocols were subcategories of reinforcing factors, and control beliefs were subcategories of enabling factors. Conclusion: Our findings could be used as a guide to design educational interventions aiming at promoting COVID-19 prevention behaviors in schools.

Spatiotemporal Study of COVID-19 in Fars Province, Iran, October-November 2020: Establishment of Early Warning System.

Background: Using time series and spatiotemporal analyses, this study aimed to establish an Early Warning System (EWS) for COVID-19 in Fars province Iran. Methods: A EWS was conducted on (i) daily basis city-level time series data including 53 554 cases recorded during 18 February-30 September 2020, which were applied to forecast COVID-19 cases during 1 October-14 November 2020, and (ii) the spatiotemporal analysis, which was conducted on the forecasted cases to predict spatiotemporal outbreaks of COVID-19. Results: A total of 55 369 cases were forecasted during 1 October-14 November 2020, most of which (26.9%) occurred in Shiraz. In addition, 65.80% and 34.20% of the cases occurred in October and November, respectively. Four significant spatiotemporal outbreaks were predicted, with the Most Likely Cluster (MLC) occurring in ten cities during 2-22 October (P < 0.001 for all). Moreover, subgroup analysis demonstrated that Zarrindasht was the canon of the epidemic on 6 October (P=0.04). As a part of EWS, the epidemic was triggered from Jahrom, involving the MLC districts in the center, west, and south parts of the province. Then, it showed a tendency to move towards Zarrindasht in the south and progress to Lar in the southernmost part. Afterwards, it simultaneously progressed to Fasa and Sepidan in the central and northwestern parts of the province, respectively. Conclusion: EWS, which was established based on the current protocol, alarmed policymakers and health managers on the progression of the epidemic and on where and when to implement medical facilities. These findings can be used to tailor province-level policies to servile the ongoing epidemic in the area; however, governmental level effort is needed to control the epidemic at a larger scale in the future.

Efficacy of single-dose and double-dose ivermectin early treatment in preventing progression to hospitalization in mild COVID-19: A multi-arm, parallel-group randomized, double-blind, placebo-controlled trial.

BACKGROUND AND OBJECTIVE: Ivermectin is a known anti-parasitic agent that has been investigated as an antiviral agent against coronavirus disease 2019 (COVID-19). This study aimed to evaluate the efficacy of ivermectin in mild COVID-19 patients. METHODS: In this multi-arm randomized clinical trial conducted between 9 April 2021 and 20 May 2021, a total of 393 patients with reverse transcription-PCR-confirmed COVID-19 infection and mild symptoms were enrolled. Subjects were randomized in a 1:1:1 ratio to receive single-dose ivermectin (12 mg), double-dose ivermectin (24 mg) or placebo. The primary outcome was need for hospitalization. RESULTS: There was no significant difference in the proportion of subjects who required hospitalization between the placebo and single-dose ivermectin groups (absolute difference in the proportions: -2.3 [95% CI = -8.5, 4.1]) and between the placebo and double-dose ivermectin groups (absolute difference in the proportions: -3.9 [95% CI = -9.8, 2.2]). The odds of differences in mean change in severity score between single-dose ivermectin and placebo groups (ORdifference  = 1.005 [95% CI: 0.972, 1.040]; p = 0.762) and double-dose ivermectin and placebo groups (ORdifference  = 1.010 [95% CI: 0.974, 1.046]; p = 0.598) were not statistically significant. None of the six adverse events (including mild dermatitis, tachycardia and hypertension) were serious and required extra action. CONCLUSION: Single-dose and double-dose ivermectin early treatment were not superior to the placebo in preventing progression to hospitalization and improving clinical course in mild COVID-19.

Epidemiological Study of Infection and Death Due to COVID-19 in Fars Province, Iran, From February to September 2020.

Background: Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has entered our lives with the fear of outbreak, death, and recurrence. Our objective in this study is to evaluate the epidemiological features of Coronavirus Disease 2019 (COVID-19) infection and death in Fars province, Iran. Methods: A cross-sectional study was conducted from February 18th to September 30th, 2020, where age, history of underlying diseases, sex, community-wide quarantine, nationality, close contact, pregnancy, medical staff job, traveling , and residency were compared between alive and deceased groups. Data were analyzed using IBM SPSS software, version 22.0, and the significance level was set at 0.05. Results: Regarding 57958 new cases of COVID-19, the basic reproduction number (R0) was estimated as 2.8, requiring a minimum of 65% immunization to reach herd immunity. Moreover, an R0=0.36 was required to reach the endemic state in the region. The incidence, mortality, fatality, and recurrence rates of COVID-19 were estimated as 1347.9 per 100,000 dwellers, 209.5 per 1000,000 dwellers, 1.6 %, and 3.1 per 100,000 dwellers, respectively. Age, history of underlying diseases, urban residency, and the male sex were significantly higher in the deceased group (OR=1.09, 5.48, 1.24, and 1.32; All Ps<0.001, <0.001, 0.005, and <0.001, respectively). In addition, the recurrence rate among positive cases was estimated as 0.23% with a median±inter-quartile range equal to 84±46.25 days. Community-wide quarantine was shown to be a protective factor for death due to COVID-19 (OR=0.58, P=0.005). Conclusion: Community-wide quarantine blocks the transmission of COVID-19 effectively. COVID-19 enjoys no solid immunity. History of underlying diseases, the male sex, urban residency, and age were among the most significant causes of death due to COVID-19. Further investigations are recommended on the genetic structure of SARS-CoV-2, treatments, and vaccination.

Spatial epidemiology and meteorological risk factors of COVID-19 in Fars Province, Iran.

This study aimed at detecting space-time clusters of COVID-19 cases in Fars Province, Iran and at investigating their potential association with meteorological factors, such as temperature, precipitation and wind velocity. Time-series data including 53,554 infected people recorded in 26 cities from 18 February to 30 September 2020 together with 5876 meteorological records were subjected to the analysis. Applying a significance level of P<0.05, the analysis of space-time distribution of COVID-19 resulted in nine significant outbreaks within the study period. The most likely cluster occurred from 27 March to 13 July 2020 and contained 11% of the total cases with eight additional, secondary clusters. We found that the COVID-19 incidence rate was affected by high temperature (OR=1.64; 95% CI: 1.44-1.87), while precipitation and wind velocity had less effect (OR=0.84; 95% CI: 0.75-0.89 and OR=0.27; 95% CI: 0.14-0.51), respectively.

The Association of Opium Abuse with Mortality Amongst Hospitalized COVID-19 Patients in Iranian Population.

Opioid abuse is a serious problem in the society. Since the first months of COVID-19 pandemic, several myths, rumors and misconceptions have been spread about the benefits of opium consumption for COVID-19 outcome. In addition, data are limited on the relationship between opium abuse and COVID-19 mortality amongst hospitalized COVID-19 patients. In this historical cohort study, we assessed the risks of several variables for mortality amongst all hospitalized COVID-19 patients from the beginning of COVID-19 pandemic in South of Iran from March 15th, 2021 to October 14th, 2021. Data was acquired from the Medical Care Monitoring Center (MCMC), affiliated to Shiraz University of Medical Sciences. A total of 64,427 hospitalized COVID-19 patients were included into the analysis. The mortality rate was 10.59% (n = 6756). Of all, 2030 (3.15%) patients-1702 males and 328 females-reported the positive history of opium abuse with a mean age of 57 ± 17.21 years. The results of multivariable risk showed that the positive history of opium abuse had a significant association with mortality (adjusted RR: 1.173; p = 0.007). Other significant predictive risk factors were male gender, elder ages, and comorbidities such as pulmonary diseases, cardiovascular disease, cancer, nephrological diseases, neurological diseases, and diabetes. However, being a health care worker and having thyroid gland diseases were protective factors amongst hospitalized COVID-19 patients (adjusted RR: 0.650 and 0.642; p = 0.040 and < .0001, respectively). Opium abuse is a risk factor for mortality amongst hospitalized COVID-19 patients. It is vital to educate societies about the consequences of unauthorized opium consumption.

Effectiveness of Coronavirus Disease 2019 Vaccines in Preventing Infection, Hospital Admission, and Death: A Historical Cohort Study Using Iranian Registration Data During Vaccination Program.

Background: There are some concerns about the effectiveness of the inactivated and vector-based vaccines against severe acute respiratory syndrome coronavirus 2 in real-world settings with the emergence of new mutations, especially variants of concern. Data derived from administrative repositories during mass vaccination campaigns or programs are of interest to study vaccine effectiveness. Methods: Using 4-repository administrative data linkage, we conducted a historical cohort study on a target population of 1 882 148 inhabitants aged at least 18 years residing in southern Iran. Results: We estimated a 71.9% [95% confidence interval [CI], 70.7%-73.1%], 81.5% [95% CI, 79.5%-83.4%], 67.5% [95% CI, 59.5%-75.6%], and 86.4% [95% CI, 84.1%-88.8%] hospital admission reduction for those who received the full vaccination schedule of BBIBP-CorV (Sinopharm), ChAdOx1-S/nCoV-19 vaccine (AZD1222, Oxford-AstraZeneca), rAd26-rAd5 (Gam-COVID-Vac, Sputnik V), and BIV1-CovIran (COVIran Barekat) vaccines, respectively. A high reduction in mortality (at least 85%) was observed in all age subgroups of the fully immunized population. Conclusions: The pragmatic implementation of a vaccination plan including all available vaccine options in the Iranian population was associated with a significant reduction in coronavirus disease 2019 (COVID-19) detected infections as well as hospital admissions and deaths associated with COVID-19.

Unemployment and COVID-19-related mortality: a historical cohort study of 50,000 COVID-19 patients in Fars, Iran.

OBJECTIVES: Previous studies have estimated the risk of death associated with unemployment in the coronavirus disease 2019 (COVID-19) pandemic, but no studies have examined unemployment before COVID-19 infection as a risk factor for COVID-19-related mortality. Thus, this study aimed to investigate COVID-19 mortality among this population. METHODS: Data on 50,038 people aged 25-59 years were collected from 38 agencies in Fars Province, Iran, from February 2020 to July 2021. Follow-up lasted from participants' diagnosis with COVID-19 based on the results of a reverse transcription-polymerase chain reaction test to participants' death or the end of the study period. The association between unemployment and COVID-19-related mortality was estimated using the Poisson regression method, and a sensitivity analysis was conducted to calculate the E-value. RESULTS: Unemployment was associated with a 2.41-fold (95% confidence interval [CI], 2.01 to 2.90) higher age-adjusted and sex-adjusted risk of COVID-19-related mortality. The adjusted Poisson regression analysis showed 8.82 (95% CI, 6.42 to 12.11), 2.84 (95% CI, 1.90 to 4.24), and 1.58 (95% CI, 1.24 to 2.01) times higher risks of COVID-19-related mortality among unemployed people aged 25-39 years, 40-49 years, and 50-59 years, respectively, than among their employed counterparts. Unemployment increased the risk of COVID-19 mortality by 3.31 (95% CI, 2.31 to 4.74) and 2.30 (95% CI, 1.86 to 2.84) times in female and male, respectively. The E-value was 3.43, reflecting the minimum strength of confounding required to shift the association between unemployment and COVID-19-related mortality toward the null. CONCLUSIONS: Unemployment prior to COVID-19 infection increased the risk of COVID-19-related mortality. COVID-19-related mortality disproportionately impacted unemployed women and younger unemployed people.

Risk factors for COVID-19 severity and mortality among inpatients in Southern Iran.

Introduction: COVID-19 is a highly contagious respiratory disease and many factors can affect its severity and mortality. This study aimed to investigate the risk factors associated with the severity and mortality of COVID-19. Methods: In this cross-sectional study, 311 cases with COVID-19 approved by the CORONALAB database in the Center for Disease Control and Prevention (CDC) in southern Iran were selected using systematic random sampling from 15 May to 13 June 2020. The data were collected through interviews and phone calls using a researcher-made questionnaire. Results: The mean age of the participants was 45.82 ± 17.92 years, and the male to female ratio was 1.57:1. In addition, the Case Fatality Rate (CFR) was 4.50%, and the disease was severe in 47.5% of the cases. The most common clinical symptoms were cough (39.22%), fever (31.83%), and dyspnea (24.76%). The severity of COVID-19 was significantly associated with age and history of Cardiovascular Disease (CVD). Besides, the mortality of COVID-19 was significantly related to age, gender, hypertension, CVD, and Chronic Kidney Disease (CKD). The mean interval between the onset of the first symptom and referral to a health center was 3.02 ± 2.82 days. Additionally, the mean interval between the referral to health centers and testing was 0.88 ± 2.20 days. Conclusion: Older patients, males, and those who had CVD, CKD, and hypertension required accurate healthcare and early intervention to prevent the exacerbation of COVID-19. Furthermore, the interval between the onset of the first symptom and testing was relatively long. Overall, early diagnosis, isolation, and treatment of patients were found to be essential to control COVID-19.

Correlation between environmental factors and COVID-19 indices: a global level ecological study.

This global level ecological study aimed to investigate the correlation between environmental factors and the COVID-19 indices. This survey is an ecological study, so all studied variables are aggregate variables. To collect the variables in the study, a data set was provided, which includes the information of each country based on the cumulative deaths, case fatality rate, recovery rate, and the number of performed COVID-19 tests. Scatter plots of environmental factors for the studied countries were drawn based on cumulative incidence rate of cases, cumulative incidence rate of death, tests, recovery rate, and case fatality rate of COVID-19. Furthermore, Spearman correlation coefficient was also used to verify the correlation between environmental factors and indicators related to COVID-19. The results of this ecological study showed that among all countries surveyed, Montenegro (60,310.56 per million) and Luxembourg (54,807.89 per million) had the highest cumulative incidence rates of COVID-19 cases, when Tanzania (8.42 per million) and Vietnam (13.78 per million) had the lowest cumulative incidence rates of COVID-19. In addition, in this study, it was shown that the cumulative incidence rate of cases, the cumulative incidence rate of deaths, and performed COVID-19 tests had significant direct correlations with the access to drinking water and the access to sanitation services (p < 0.001). The findings of the present study showed an inverse correlation between the mortality rate due to unhealthy water consumption, poor health status, and a positive correlation between access to drinking water and health services with the cumulative incidence and mortality rates of COVID-19. The differences between our findings and many other studies could be due to the ecological nature of the study. Nevertheless, our findings will help health policymakers to develop timely strategies to reduce the mortality and incidence rate of COVID-19.