Rapid review of COVID-19 epidemic estimation studies for Iran

Healthcare policies, precautionary measures and outcomes of mass gathering events in the era of COVID-19 pandemic: Expedited review

With the onset of the COVID-19 pandemic in early 2020, several countries suspended or restricted mass gathering (MG) events to mitigate the risk of superspreading events. Prohibiting MGs aimed to lessen the likelihood of highly infectious persons coming into close contact with many others. Now that the world has opened its doors wide and removed most of precautionary measures, many questions arise. In this review, we aimed to summarize the current evidence regarding the policies and regulations that were implemented for the safe return of MG events. Besides, we highlighted the impact of the return of MG events during 2021 on the trajectory of COVID-19 spread. Canceling MG events can carry religious, societal, economic, and public negative consequences necessitating the safe return of these events. The experience with the COVID-19 pandemic was the foundation for the recommendations for the safe conduction of MG events during the pandemic by international public health bodies. When policymakers adequately applied precautionary measures and strategic approaches, we witnessed the safe holding of huge MG events without aggravating the COVID-19 situation or increasing the number of new cases beyond the capacity and readiness of the national healthcare system.

Immunophenotyping characteristics of COVID-19 patients: Peripheral blood CD8+ HLA-DR+ T cells as a biomarker for mortality outcome

INTRODUCTION

The goal of this study was to identify biomarker(s) to assign risk of mortality in COVID-19 patients to improve intensive care unit (ICU) and coronary care unit  management. A total of 100 confirmed COVID-19 patients admitted at Imam Khomeini Hospital in Tehran, were compared to 70 control subjects. Peripheral blood leukocyte was studied using staining reagents included CD3, CD4, CD8, HLA-DR, CD19, CD16, and CD56. The immunophenotyping analysis was evaluated using the FACSCalibur instrument. To investigate the cell density of lung infiltrating T cells, postmortem slides of needle necropsies taken from the lung tissue of 3 critical patients were evaluated by immunohistochemistry staining. The number of lymphocyte subpopulations was significantly lower in COVID-19 patients than in the control group. Regarding the disease severity, the absolute count of T, NK, and HLA-DR+ T cells were significantly reduced in severe patients compared to the moderate ones. The critical patients had a significantly lower count of CD8-HLA-DR+ T cells than the moderate cases. Regarding the disease mortality, based on univariate analysis, the count of HLA-DR+ T, CD8- HLA-DR+ T, and CD8+ HLA-DR+ T cells was associated with mortality in COVID-19 patients. Receiver operating characteristic curve analysis showed the count of CD8+ HLA-DR+ T cells is the best candidate as a biomarker for mortality outcome. Furthermore, pulmonary infiltration of T cells in the lung tissue showed only slight infiltrations of CD3+ T cells, with an equal percentage of CD4+ and CD8+ T cell subpopulation in the lung tissue. These findings suggest that close monitoring of the value of CD8+ HLA-DR+ T cells in COVID-19 patients may be helpful to identify high-risk patients. However, further studies with larger sample size are needed.

Evaluating the characteristics of patients with SARS-CoV-2 infection admitted during COVID-19 peaks: A single-center study

Background

Nowadays, the world is facing a coronavirus disease (COVID-19) pandemic, elicited by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). At the time of studying, five COVID-19 waves occurred in Iran. We aimed to evaluate the characteristics of patients with SARS-CoV-2 infection admitted to Vasei Hospital of Sabzevar, Iran during COVID-19 peaks.

Methods

Clinical manifestations, laboratory findings, radiological findings, and underlying diseases of patients with COVID-19 were obtained from electronic medical records. Then, this information was compared in patients with SARS-CoV-2 infection to the peaks of COVID-19.

Results

The highest and lowest respiratory involvements were observed in the third (74.6%) and fourth (38.8%) peaks, respectively. The most common radiological finding in all peaks was ground-glass opacity (28.98%), followed by consolidation, which was the highest (14.6%) in peak three. The lymphocyte count decreased in all peaks. Its highest reduction (16.12) occurred in the third peak. The SpO2 was lower than normal range in all peaks, except for the second (90.77%) and fifth (91.06%) peaks. Dyspnea (52.36%) was the most and dizziness (1.26%) and sore throat (0.6%) were the least frequent symptoms. The mortality rates were 14. 4%, 18.2%, 23%, 9.02%, and 9.4% in the first to fifth peaks, respectively.

Conclusion

As different variants of the SARS-CoV-2 virus were predominant in each wave, COVID-19 patients had different features in various peaks. The fifth wave of COVID-19 had the highest number of hospitalized patients, while the first peak had the lowest number. Perhaps, the significant increase in testing capacity in the fifth wave and its long time period are the reasons for this growth. Most of the clinical symptoms were similar in all peaks, but the incidence was different. As patients hospitalized in the third peak had the highest rate of underlying disease, it can be a reason for the increase in the death rate of patients. We did not observe any significant differences in laboratory tests among the patients during different peaks. Thus, we should be vigilant in continuously studying the characteristics of the disease, and be able to modify treatments rapidly if necessary.

Evaluating the characteristics of patients with SARS-CoV-2 infection admitted during COVID-19 peaks: A single-center study

Background

Nowadays, the world is facing a coronavirus disease (COVID-19) pandemic, elicited by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). At the time of studying, five COVID-19 waves occurred in Iran. We aimed to evaluate the characteristics of patients with SARS-CoV-2 infection admitted to Vasei Hospital of Sabzevar, Iran during COVID-19 peaks.

Methods

Clinical manifestations, laboratory findings, radiological findings, and underlying diseases of patients with COVID-19 were obtained from electronic medical records. Then, this information was compared in patients with SARS-CoV-2 infection to the peaks of COVID-19.

Results

The highest and lowest respiratory involvements were observed in the third (74.6%) and fourth (38.8%) peaks, respectively. The most common radiological finding in all peaks was ground-glass opacity (28.98%), followed by consolidation, which was the highest (14.6%) in peak three. The lymphocyte count decreased in all peaks. Its highest reduction (16.12) occurred in the third peak. The SpO2 was lower than normal range in all peaks, except for the second (90.77%) and fifth (91.06%) peaks. Dyspnea (52.36%) was the most and dizziness (1.26%) and sore throat (0.6%) were the least frequent symptoms. The mortality rates were 14. 4%, 18.2%, 23%, 9.02%, and 9.4% in the first to fifth peaks, respectively.

Conclusion

As different variants of the SARS-CoV-2 virus were predominant in each wave, COVID-19 patients had different features in various peaks. The fifth wave of COVID-19 had the highest number of hospitalized patients, while the first peak had the lowest number. Perhaps, the significant increase in testing capacity in the fifth wave and its long time period are the reasons for this growth. Most of the clinical symptoms were similar in all peaks, but the incidence was different. As patients hospitalized in the third peak had the highest rate of underlying disease, it can be a reason for the increase in the death rate of patients. We did not observe any significant differences in laboratory tests among the patients during different peaks. Thus, we should be vigilant in continuously studying the characteristics of the disease, and be able to modify treatments rapidly if necessary.

Impact of the COVID-19 Pandemic on the Success of Bariatric Surgeries in Patients with Severe Obesity

INTRODUCTION

SARS-CoV-2 infection (COVID-19) pandemic may influence the weight outcomes of bariatric surgeries (BS). Here, we intended to compare the weight outcome of patients who underwent BS before and during the pandemic time.

METHODS

In a retrospective, single-center study, the information of two groups of patients; first COVID-19 group (n = 51) consisted of those that underwent BS during the pandemic and completed a year of follow-up, second non-COVID-19 group included 50 patients who underwent BS and were followed up before the pandemic. All the patients' anthropometric and obesity-related disease data were compared between groups.

RESULTS

Weight loss and the decrease of body mass index 1 year after the surgery, as well as excess weight loss and total weight loss, were significantly higher in the non-COVID-19 group compared to the COVID-19 group (p < 0.05). Although the rate of remission for diabetes mellitus, hypertension, and dyslipidemia was higher in the non-COVID-19 group, the differences were not statistically significant (p > 0.05).

CONCLUSION

We showed a significantly poorer weight outcome at the 1-year follow-up of the BS during the pandemic compared to the pre-pandemic. These results need further investigations to determine the preventive measures and management by evaluating the associated factors.

COVID-19 management in Iran and international sanctions

Iran has one of the highest death rates from COVID-19 among Middle Eastern countries. In addition to having a better disease registration system compared to neighboring countries, many factors including economic conditions, have played an important role in increasing the number of mortality rate. This is while that during the Corona pandemic, Iran has been undergo severe sanctions by the United States, that has faced this country with a severe economic crisis. Considering the role of sanction on the country's health management in our study, we examined Iran's management plans against the Corona pandemic and the effect of sanctions on it. Quarantine and corona restrictions, on the one hand, and international sanctions, on the other hand, have put double pressure on the Iranian government. Although drugs and basic medical equipment are exempted from economic sanctions, direct and indirect effects of the sanctions have limited Iran's banking system and created widespread restrictions in the fields of trade, production, and investment. Fortunately, despite the sanctions, many hospitals had an appropriate performance in line with the health promotion program. It is obvious that economic sanctions have severe and harmful effects on public health and have led to poor health consequences in Iran, but attention to planning, standards and improving the quality of the hospital is an important issue in Corona management. Despite multiple mutations, this virus is likely to face with a more dangerous virus in the world future. Now, it is time to take appropriate management measures to remove these sanctions by relying on international solutions and interactions.

Direct Inpatient Cost and Payments of COVID-19 in Iran: Quantile Regression Analysis

Background: COVID-19 pandemic imposes a substantial medical and socioeconomic burden on health systems. The study aimed to estimate the direct inpatient costs of COVID-19 in Iran. Methods: This is a Cost of Illness (COI) study with the bottom-up method. Provider perspective and prevalence approach were applied for cost identification. Data included inpatient charges and clinical characteristics of all COVID-19 cases (2015 patients) admitted to a teaching hospital during a financial year (March 2020 to February 2021). We extracted data from Hospital Information System (HIS) and applied the quantile regression to estimate determinant factors of COVID-19 inpatient cost using STATA software. Results: 1026 (50.92%) of admitted COVID-19 patients were female, and 42.3% were older than 65 years. More than 82% of discharged COVID-19 patients in this study recovered. 189 (9.38%) patients admitted to ICUs. Length of Stay (LOS) for about 70% of admitted COVID-19 cases was 7 days or less. The Total Inpatient Charges (TIC) was 155,372,056,826 Rials (5,041,836 PPP USD). The median charge was 42,410,477 Rials, and Average Inpatient Charges (AIC) was 77,107,720±110,051,702 (2,461 PPP USD) per person. Drugs and supplies accounted for 37% of total inpatient charges. Basic insurance companies would pay more than 79% of total claims and the share of Out-of-Pocket Payments (OOP) was 7%. ICUs admission and LOS of more than 3 days are associated with higher costs across all percentiles of the cost distribution (p<0.001). Conclusion: This study call attention to the substantial economic burden based on real-world data. According to the broad socio-economic impacts of COVID-19 and also multiple components of COI study designs, conducting meta-analysis approaches is needed to combine results from independent studies.

Are lipid ratios and triglyceride-glucose index associated with critical care outcomes in COVID-19 patients?

Lipid ratios and the triglyceride and glucose index (TyG) could be a simple biochemical marker of insulin resistance (IR). The current study was carried out to examine the correlation between triglyceride to high-density lipoprotein-cholesterol (TG/HDL-C), total cholesterol to HDL-C (TC/HDL-C), low-density lipoprotein-cholesterol to HDL-C ratio (LDL-C/HDL-C), as well as TyG index with the severity and mortality of severe coronavirus disease 2019 (COVID-19). A total of 1228 confirmed COVID-19 patients were included in the current research. Regression models were performed to evaluate the correlation between the lipid index and severity and mortality of COVID-19. The TyG index and TG/HDL-C levels were significantly higher in the severe patients (P<0.05). TG/HDL-C, LDL-C/HDL-C, TC/HDL-C ratios, and TyG index were significantly lower in survivor cases (P<0.05). Multivariate logistic regression analysis demonstrated that predictors of the severity adjusted for age, sex and BMI were TyG index, TG/HDL-C ratio (OR = 1.42 CI:1.10–1.82, OR = 1.06 CI: 1.02–1.11, respectively). This analysis showed that TG/HDL-C, TC/HDL-C, LDL-C/HDL-C ratios, and TyG index statistically are correlated with COVID-19 mortality (OR = 1.12 CI:1.06–1.18, OR = 1.24 CI:1.05–1.48, OR = 1.47 CI:1.19–1.80, OR = 1.52 CI:1.01–2.31, respectively). In summary, the TyG index and lipid ratios such as TC/HDL-C, TG/HDL-C, LDL-C/HDL-C could be used as an early indicator of COVID-19 mortality. Furthermore, the study revealed that TyG index and TG/HDL-C indices are biochemical markers of COVID-19 severe prognosis.

A Comprehensive Review of the Protein Subunit Vaccines Against COVID-19

Two years after severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), in December 2019, the first infections were identified in Wuhan city of China. SARS-CoV-2 infection caused a global pandemic and accordingly, 5.41 million deaths worldwide. Hence, developing a safe and efficient vaccine for coronavirus disease 2019 (COVID-19) seems to be an urgent need. Attempts to produce efficient vaccines inexhaustibly are ongoing. At present time, according to the COVID-19 vaccine tracker and landscape provided by World Health Organization (WHO), there are 161 vaccine candidates in different clinical phases all over the world. In between, protein subunit vaccines are types of vaccines that contain a viral protein like spike protein or its segment as the antigen assumed to elicit humoral and cellular immunity and good protective effects. Previously, this technology of vaccine manufacturing was used in a recombinant influenza vaccine (RIV4). In the present work, we review protein subunit vaccines passing their phase 3 and 4 clinical trials, population participated in these trials, vaccines manufactures, vaccines efficiency and their side effects, and other features of these vaccines.

Seroprevalence of SARS-CoV-2 antibody among urban Iranian population: findings from the second large population-based cross-sectional study

Background

The first large serosurvey in Iran found a SARS-CoV-2 antibody seroprevalence of 17.1% among the general population in the first wave of the epidemic by April, 2020. The purpose of the current study was to assess the seroprevalence of COVID-19 infection among Iranian general population after the third wave of the disease.

Methods

This population-based cross-sectional study was conducted on 7411 individuals aged ≥10 years old in 16 cities across 15 provinces in Iran between January and March, 2021. We randomly sampled individuals registered in the Iranian electronic health record system based on their national identification numbers and invited them by telephone to a healthcare center for data collection. Presence of SARS-CoV-2-specific IgG and IgM antibodies was assessed using the SARS-CoV-2 ELISA kits. The participants were also asked about their recent COVID-19-related symptoms, including cough, fever, chills, sore throat, headache, dyspnea, diarrhea, anosmia, conjunctivitis, weakness, myalgia, arthralgia, altered level of consciousness, and chest pain. The seroprevalence was estimated after adjustment for population weighting and test performance.

Results

The overall population-weighted seroprevalence adjusted for test performance was 34.2% (95% CI 31.0-37.3), with an estimated 7,667,874 (95% CI 6,950,412-8,362,915) infected individuals from the 16 cities. The seroprevalence varied between the cities, from the highest estimate in Tabriz (39.2% [95% CI 33.0-45.5]) to the lowest estimate in Kerman (16.0% [95% CI 10.7-21.4]). In the 16 cities studied, 50.9% of the seropositive individuals did not report a history of symptoms suggestive of COVID-19, implying an estimation of 3,902,948 (95% CI 3,537,760-4,256,724) asymptomatic infected individuals.

Conclusions

Nearly one in three individuals were exposed to SARS-CoV-2 in the studied cities by March 2021. The seroprevalence increased about two-fold between April, 2020, and March, 2021.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12889-022-13464-7.

CovidVisualized: Visualized compilation of international updated models' estimates of COVID-19 pandemic at global and country levels

Objectives

To identify international and periodically updated models of the COVID-19 epidemic, compile and visualize their estimation results at the global, regional, and country levels, and periodically update the compilations. This compilation can serve as an early warning mechanism for countries about future surges in cases and deaths. When one or more models predict an increase in daily cases or infections and deaths in the next one to three months, technical advisors to the national and subnational decision-makers can consider this early alarm for assessment and suggestion of augmentation of preventive measures and interventions.

Data description

Five international and periodically updated models of the COVID-19 pandemic were identified, created by: (1) Massachusetts Institute of Technology, Cambridge, (2) Institute for Health Metrics and Evaluation, Seattle, (3) Imperial College, London, (4) Los Alamos National Laboratories, Los Alamos, and (5) University of Southern California, Los Angeles. Estimates of these five identified models were gathered, combined, and graphed at global and two country levels. Canada and Iran were chosen as countries with and without subnational estimates, respectively. Compilations of results are periodically updated. Three Github repositories were created that contain the codes and results, i.e., “CovidVisualizedGlobal” for the global and regional levels, “CovidVisualizedCountry” for a country with subnational estimates–Canada, and “covir2” for a country without subnational estimates–Iran.

Exploring the experiences of nurses and physicians infected with COVID-19

BACKGROUND

Health-care providers, including physicians and nurses, are vital resources of the health-care system, and their health is essential to ensure safe care and to control outbreaks in the community. The aim of this study was to explore the experiences of physicians and nurses infected with COVID-19.

MATERIALS AND METHODS

This descriptive exploratory qualitative study was conducted in 2020. To conduct this study, 19 participants (5 physicians and 14 nurses) were selected using purposive sampling. Data were collected using semi-structured interviews. Data analysis was performed using conventional content analysis.

RESULTS

Eight main categories of "Fear and anxiety," "Fighting against COVID-19," "Feeling abandoned during home quarantine period," "Denial of disease despite testing positive," "Recovery: the second opportunity," "Imposition of psychological burden after returning to work," "Promotion of the health professional perception," and "Promising supportive resources," as well as 21 subcategories, were extracted from the participants' experiences.

CONCLUSION

The experiences of physicians and nurses with COVID-19 revealed that their perception of the profession and providing care had changed. This experience has highlighted the focus and effort to promote patient-centered care and interprofessional collaboration among them.

"Mass gathering events and COVID-19 transmission in Borriana (Spain): A retrospective cohort study"

OBJECTIVE

Mass gathering events (MGEs) are associated with the transmission of COVID-19. Between 6 and 10 March 2020, several MGEs related to the Falles festival took place in Borriana, a municipality in the province of Castellon (Spain). The aim of this study was to estimate the incidence of COVID-19 and its association with these MGEs, and to quantify the potential risk factors of its occurrence.

METHODS

During May and June 2020, a population-based retrospective cohort study was carried out by the Public Health Center of Castelló and the Hospital de la Plana in Vila-real. Participants were obtained from a representative sample of 1663 people with potential exposure at six MGEs. A questionnaire survey was carried out to obtain information about attendance at MGEs and COVID-19 disease. In addition, a serologic survey of antibodies against SARS-Cov-2 was implemented. Inverse probability weighted regression was used in the statistical analysis.

RESULTS

A total of 1338 subjects participated in the questionnaire survey (80.5%), 997 of whom undertook the serologic survey. Five hundred and seventy cases were observed with an attack rate (AR) of 42.6%; average age was 36 years, 62.3% were female, 536 cases were confirmed by laboratory tests, and 514 cases were found with SARS-CoV-2 total antibodies. Considering MGE exposure, AR was 39.2% (496/1264). A dose-response relationship was found between MGE attendance and the disease, (adjusted relative risk [aRR] = 4.11 95% confidence interval [CI]3.25-5.19). Two MGEs with a dinner and dance in the same building had higher risks. Associated risk factors with the incidence were older age, obesity, and upper and middle class versus lower class; current smoking was protective.

CONCLUSIONS

The study suggests the significance of MGEs in the COVID-19 transmission that could explain the subsequent outbreak in Borriana.

U.S.-Imposed Economic Sanctions on Iran in the COVID-19 Crisis From the Human Rights Perspective

One of the obvious impacts of comprehensive economic sanctions is on pharmaceuticals and supplies, which are essential elements of all functioning health systems. Observers report that comprehensive sanctions imposed on Iran are a barrier to Iran's coronavirus disease-2019 (COVID-19) crisis and could impede Iran's access to coronavirus vaccines. In this minireview, we discuss COVID-19 and its human rights dimensions of U.S. sanctions on Iran. We believe fighting COVID-19 with limited resources during sanctions will produce a humanitarian crisis, and coronavirus is a convincing reason to lift the sanctions on Iran.