The global impact of the coronavirus pandemic

Modelling the impact of behavioural interventions during pandemics: A systematic review

BACKGROUND

Many studies examined the impact of behavioural interventions on COVID-19 outcomes. We conducted a systematic review to gain insight into transmission models, following PRISMA 2020 guidelines. We included peer-reviewed studies published in English until December 31, 2022, focusing on human subjects, modelling, and examining behavioural interventions during COVID-19 using real data across diverse geographical regions.

METHODS

We searched seven databases. We used descriptive analysis, network analysis for textual synthesis, and regression analysis to identify the relationship between the basic reproduction number R0 and various characteristics. From 30, 114 articles gathered, 15, 781 met the inclusion criteria. After deduplication, 7, 616 articles remained. The titles and abstracts screening reduced these to 1, 764 articles. Full-text screening reduced this to 270, and risk-of-bias assessment narrowed it to 245 articles. We employed combined criteria for risk of bias assessment, incorporating domains from ROBINS-I and principles for modeling.

RESULTS

Primary outcomes focused on R0, COVID-19 cases, and transmission rates. The average R0 was 3.184. The vast majority of studies (90.3%) used compartmental models, particularly SEIR models. Social distancing, mask-wearing, and lockdowns were frequently analyzed interventions. Early and strict implementation of these interventions significantly reduced transmission rates. Risk of bias assessment revealed that 62.6% of studies were of low risk, 24.1% moderate, and 9.3% high risks. Common issues included transparency, attrition bias, and confounding factors.

CONCLUSIONS

This comprehensive review highlights the importance of behavioural interventions in reducing COVID-19 transmission and areas for improving future research transparency and robustness. Our risk of bias criteria offers an important framework for future systematic reviews in modeling studies of interventions. We recommend that future studies enhance transparency in reporting and address common biases such as attrition and confounding.

Depressive symptomatology in Brazil: perspectives of statistical and psychometrics analyses of the PHQ-9 at four time-points (2020-2023) in the COVID-19 pandemic

The present research assessed the psychometric properties of the Patient Health Questionnaire-9 (PHQ-9) through an examination of its internal structure, invariance analysis, and standardization. Social distribution analyses of the measure were conducted using linear and binomial logistic regression. The sample consisted of 10,069 adults from all 27 states in Brazil. The data were obtained through four collections across different years of the COVID-19 pandemic (2020, 2021, 2022, and 2023), using independent samples. Confirmatory Factor Analysis (CFA) indicated that the measure is unidimensional with satisfactory fit indices. The model was invariant in relation to the variables investigated at four different levels (configural, metric, scalar, and strict). The standardization supported hypothetical cut scores indicating the severity of depressive symptoms, categorized as very low (0 to 6), low (7 to 13), moderate (14 to 19), high (20 to 23), and very high (≥ 24). We found that sex/gender, skin color/ethnicity, age, education level, and year of the pandemic were predictors of depressive symptoms in the adjusted linear regression analysis. The logistic regression showed variables with higher chances for a positive screening diagnosis of depression, with adjusted Odds Ratio as follows: years 2021 (ORadj = 1.275) and 2023 (ORadj = 1.409), women (ORadj = 1.900), Pardos individuals (ORadj = 1.252), education up to high school (ORadj = 1.272), being a northeast region resident (ORadj = 2.127), and younger people (ORadj = 1.716). The findings of this study indicate the suitability of the PHQ-9 for assessing depression in the population and recommend its use for monitoring depressive symptoms in the coming years in Brazil. Clinical implications include developing interventions to address the psychological impact of this and any future health crises.

Efficacy and Safety of Antimalarial as Repurposing Drug for COVID-19 Following Retraction of Chloroquine and Hydroxychloroquine

Various repurposing drugs have been tested for their efficacy on coronavirus disease 2019 (COVID-19), including antimalarial drugs. During the pandemic, Chloroquine (CQ) and Hydroxychloroquine (HCQ) demonstrated good potential against COVID-19, but further studies showed both drugs had side effects that were more dangerous than the efficacy. This made World Health Organization (WHO) ban the usage for COVID-19 patients. In this context, there is a need to explore other antimalarial drugs as potential therapies for COVID-19. This study provides a descriptive synthesis of clinical trials evaluating antimalarial drugs for COVID-19 treatment conducted after the withdrawal of CQ and HCQ. The method was a literature study using the keywords "antimalarial", "COVID-19", "SARS-CoV-2", "clinical trial", and "randomized controlled trial" on the MEDLINE, Scopus, and Cochrane databases. Inclusion criteria were published clinical trials with randomized controlled trials (RCTs) on the efficacy and safety of single antimalarial drugs for COVID-19, published in English and excluding combination therapies. The results showed 3 antimalarial drugs, namely Quinine Sulfate (QS), Atovaquone (AQ), and Artemisinin-Piperaquine (AP), had gone through clinical trial to assess efficacy and safety against COVID-19 patients. Out of the 3 drugs, only AP showed significant results in the primary outcome, which was the time required to reach undetectable levels of SARS-CoV-2. Furthermore, the intervention group took 10.6 days, and the control group took 19.3 days (p=0.001). Based on this review, AP showed significant potential as a therapy in the fight against COVID-19.

Bioanalytical Method Development and Validation of Doxorubicin and Lapatinib in Rat Plasma Using UHPLC-HESI-LTQ-MS

Cancer is considered a silent killer. The complexity of cancer makes it earn that title. So far there are only a few approaches to treat cancer. Among them, chemotherapy is considered the best approach. Many chemotherapeutical compounds are commercially available in the market. Among them, doxorubicin (DOX) and lapatinib (LAP) are considered blockbuster molecules. However, DOX suffers from poor bioavailability and exhibits cardiotoxicity. Interestingly, a fixed dose combination of DOX and LAP significantly decreases the cardiotoxic effect of DOX. To enhance the oral bioavailability of DOX and to avail the synergistic effect of LAP, many formulations have been made. To quantify both compounds in any formulation or biological matrix, an Liquid chromatography-Mass Spectrometry (LC-MS) method is required. In this present study, a simple and rapid Ultra High-Performance Liquid Chromatography - Heated Electron Spray Ionization - Mass Spectrometry (UHPLC-HESI-MS) bioanalytical method was developed. The developed method was validated as per the regulatory guidelines. The validated bioanalytical method had a lower limit of quantification of 0.75 ng. A simple protein precipitation technique was optimized to extract the compounds from the rat plasma. All the validation parameters were found to be within the limits as per the regulatory guidelines. A novel and rapid analytical method was successfully developed and validated. This developed method can be used to quantify the DOX and LAP in any formulation and biological matrix.

COVID-19 and Mental Distress and Well-Being Among Older People: A Gender Analysis in the First and Last Year of the Pandemic and in the Post-Pandemic Period

The Coronavirus disease 2019 (COVID-19) pandemic seriously threatened the health and well-being of the population. This study aims to investigate the relevance of the COVID-19 pandemic on the stress, mental distress, and well-being of older people in Spain. The design was quantitative repeated cross-sectional. The sample was non-probability and consisted of 1436 persons from the general population divided into two groups: (1) the study group, composed of 718 women (61.3%) and men aged 60 to 89; (2) the comparison group, composed of the same number of women and men aged 30 to 45. All were assessed in three phases of the COVID-19 pandemic: the first pandemic year, the last pandemic year, and the post-pandemic period. The results showed that during the first year of the pandemic, the prevalence of mental distress was higher in older women (50%) than in older men (37.2%), while the rates in the comparison group were 57.2% for women and 53.2% for men. In the post-pandemic period, the rates of mental distress were 30.2% for older women and 29.8% for older men while in the comparison group, the rates were 48.5% for women and 26.5% for men. No significant differences in well-being were found between the groups or between the different phases of the pandemic. The most common stressors reported by older people were illness and death of family and/or loved ones, followed by personal illness. In the post-pandemic period, more stressful events and lower stress resilience were found to predict mental distress in older women and men. Greater perceived vulnerability to infection was another important predictor for women. Low self-esteem and younger age were also predictors of mental distress for men. High self-esteem, high social support, greater stress resilience and fewer stressful events were predictors of well-being for both genders. The results of this study are relevant for the design of policies, programs, and strategies to improve the health and well-being of older people.

Association between demographic, clinical characteristics and severe complications by SARS-CoV-2 infection in a community-based healthcare network in Chile

BACKGROUND

Most of the evidence on risk factors for COVID-19 complications comes from North America or Europe with very little research from Latin-America. We aimed to evaluate the association between sociodemographic, clinical factors and the risk of COVID-19 complications among adults in Chile, the fifth Latin-American country with more COVID-19 reported cases since de beginning of the Pandemic.

METHODS

A retrospective population-based cohort study using data from electronic health records from a large Primary Care Network, linked to national hospital, immunization, Covid-19 PCR surveillance, mortality and birth records. We included people 18+ years old enrolled in the Primary Care Network between 1st January 2020 and 31st December 2021. Using Multivariate Cox proportional hazard models, we evaluate the association between sociodemographic, clinical characteristics with three COVID-19 complications: (1) a hospital admission, (2) an ICU admission, and (3) death due to a COVID-19 infection that occurred between the 1st January 2020 and the 31st December 2021.

RESULTS

44,674 people were included. The mean age was 44.30 (sd 17.31), 55.6% were female, 15.9% had a type of healthcare insurance for people from the lowest category of income, 11.6% and 9.4% had a record of hypertension or diabetes mellitus diagnosis. Among the 44,674 people, 455 (1.02%) had a hospital admission due to a COVID-19 infection and 216(0.48%) of them also had an ICU admission. Among the 44,674 people,148(0.33%) died due to COVID-19 infection. Older age and male sex were consistently associated with a higher risk of the three COVID-19 complications. Hypertension and diabetes were associated with a higher risk of a hospital admission and death, but not with an ICU admissions due to COVID-19 infection. Having two or more COVID-19 vaccine doses compared with no doses was associated with a lower risk of any hospital admission (HR 0.81; 95% CI 0.77-0.84), an ICU admission (HR 0.60; 95% CI 0.57-0.63) and death (HR 0.50; 95% CI 0.46-0.54). Pregnant or puerperal women were more likely to be admitted to hospital (HR 2.89; 95% CI 1.41-5.89) or ICU (HR 3.04; 95% CI 1.01-9.14).

CONCLUSIONS

Sociodemographic and clinical factors associated with COVID-19 complications such as age, sex and pre-existing conditions were comparable to those reported in similar studies from higher-income countries, and can be used to predict severity in COVID-19 patients.

In-cell bioluminescence resonance energy transfer (BRET)-based assay uncovers ceritinib and CA-074 as SARS-CoV-2 papain-like protease inhibitors

Papain-like protease (PLpro) is an attractive anti-coronavirus target. The development of PLpro inhibitors, however, is hampered by the limitations of the existing PLpro assay and the scarcity of validated active compounds. We developed a novel in-cell PLpro assay based on BRET and used it to evaluate and discover SARS-CoV-2 PLpro inhibitors. The developed assay demonstrated remarkable sensitivity for detecting the reduction of intracellular PLpro activity while presenting high reliability and performance for inhibitor evaluation and high-throughput screening. Using this assay, three protease inhibitors were identified as novel PLpro inhibitors that are structurally disparate from those previously known. Subsequent enzymatic assays and ligand-protein interaction analysis based on molecular docking revealed that ceritinib directly inhibited PLpro, showing high geometric complementarity with the substrate-binding pocket in PLpro, whereas CA-074 methyl ester underwent intracellular hydrolysis, exposing a free carboxyhydroxyl group essential for hydrogen bonding with G266 in the BL2 groove, resulting in PLpro inhibition.

DFT, Molecular Docking, ADME, and Cardiotoxicity Studies of Persuasive Thiazoles as Potential Inhibitors of the Main Protease of SARS-CoV-2

This study explores the capability of thiazoles as potent inhibitors of SARS-CoV-2 Mpro. Seventeen thiazoles (1-17) were screened for their linking affinity with the active site of SARS-CoV-2 Mpro and compared with the FDA-recommended antiviral drugs, Remdesivir and Baricitinib. Density Functional Theory (DFT) calculations provided electronic and energetic properties of these ligands, shedding light on their stability and reactivity. Molecular docking analysis revealed that thiazole derivatives exhibited favorable linking affinities with various functional sites of SARS-CoV-2 proteins, including spike receptor-linking zone, nucleocapsid protein N-terminal RNA linking zone, and Mpro. Notably, compounds 3, 10, and 12 displayed the best interaction with 6LZG as compared to FDA-approved antiviral drugs Remdesivir and Baricitinib, while compounds 1, 10, and 8 exhibited strong linking with 6 M3 M and also better than Remdesivir and Baricitinib. Additionally, compounds 3, 1, and 6 showed promising interactions with 6LU7 but only compound 3 performed better than Baricitinib. An ADME (Absorption, Distribution, Metabolism, and Excretion) study provided insights into the pharmacokinetics and drug-likeness of these compounds, with all ligands demonstrating good physicochemical characteristics, lipophilicity, water solubility, pharmacokinetics, drug-likeness, and medicinal chemistry attributes. The results suggest that these selected thiazole derivatives hold promise as potential candidates for further drug development.

The impact of the COVID-19 pandemic on dyslipidemia in peritoneal dialysis patients

BACKGROUND

The coronavirus disease 2019 (COVID-19) pandemic has had a profound impacted on various aspects of society, including the healthcare system and patient care. In this context, this study aimed to evaluate the impact of COVID-19 control strategies on the lipid profile and blood sugar levels of peritoneal dialysis (PD) patients in Taiwan, a crucial focus for understanding the pandemic's influence on individuals with chronic kidney disease (CKD).

METHODS

A retrospective cohort study was conducted, analyzing data from the medical records of 170 PD patients who visited the nephrology division of Taipei Veterans General Hospital in 2021. The generalized estimating equations method was used to analyze the longitudinal data and assess the changes in biomarker levels over different periods. Covariates were taken into consideration in the statistical models.

RESULTS

The study enrolled 70 (41%) males and 100 (59%) females, with an average age of 56 years old. Over 12 months in 2021, from the first period (January to April: pre-COVID-19) to the second period (May to August: COVID-19 surge), there was a notable decline in both high-density lipoprotein (HDL) and low-density lipoprotein (LDL) levels, and a significant surge in triglyceride (TG) levels. However, total cholesterol (TC) and hemoglobin (HbA1c) levels remained stable. Furthermore, the TG to HDL, TG to LDL, TC to HDL, and TC to LDL ratios were analyzed, revealing a pronounced increase during the second period.

CONCLUSION

Our findings underscore the significant impact of COVID-19 pandemic-related disruptions in the healthcare system and the subsequent management strategies on dyslipidemia in PD patients while not affecting dysglycemia. These results provide valuable insights for healthcare professionals to enhance their strategies and interventions for CKD patients undergoing PD during a pandemic.

Evaluating approach uncertainties of quantitative detection of SARS-CoV-2 in wastewater: Concentration, extraction and amplification

Substantial uncertainties pose challenges to the accuracy of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) quantification in wastewater. We conducted a comprehensive evaluation of two concentration methods, three nucleic acid extraction methods, and the amplification performance of eight primer-probe sets. Our results showed that the two concentration methods exhibited similar recovery rates. Specifically, using a 30 kDa cut-off ultrafilter and a centrifugal force of 2500 g achieved the highest virus recovery rates (27.32 ± 8.06 % and 26.37 ± 7.77 %, respectively), with lower corresponding quantification uncertainties of 29.51 % and 29.47 % in ultrafiltration methods. Similarly, a 15 % PEG concentration with 1.5 M NaCl markedly improved virus recovery (26.76 ± 5.92 % and 28.47 ± 6.74 %, respectively), and reducing variation to 22.16 % and 23.66 % in the PEG precipitation method. Additionally, employing a vigorous bead-beating approach at 6 m/s during viral RNA extraction significantly increased RNA yield, with an efficiency reaching up to 82.18 %. Among the evaluated eight primer-probe sets, the E_Sarbeco primer-probe set provided the most stable and consistent quantitative results across various sample matrices. These findings are crucial for establishing robust viral quantification protocols and enhancing methodological precision for effective wastewater surveillance, enabling sensitive and precise detection of SARS-CoV-2.

Feline Infectious Peritonitis Effusion Index: A Novel Diagnostic Method and Validation of Flow Cytometry-Based Delta Total Nucleated Cells Analysis on the Sysmex XN-1000V®

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led the medical and scientific community to explore the pathogenesis and clinical manifestations of coronaviruses. In felines, a widespread coronavirus known as feline coronavirus (FCoV) can lead to feline infectious peritonitis (FIP), a highly fatal disease characterised by severe systemic inflammation. Diagnosing FCoV remains challenging due to the limited accuracy of the available methods. The present study introduces the FIP Effusion Index, a novel diagnostic method that combines the albumin-to-globulin (ALB/GLOB) ratio with the delta total nucleated cell (∆TNC) count obtained via flow cytometry using the Sysmex XN-1000V® analyser in effusions. Samples from cats (n = 50) with suspected FIP were analysed for ∆TNC, with findings showing that a ∆TNC ≥ 2.1 is highly indicative of FIP and a ∆TNC ≥ 4.9 can be considered diagnostic. The FIP Effusion Index enhanced diagnostic precision in our group of samples, achieving 96.3% sensitivity and 95.7% specificity for values ≥ 5.06, and reaching perfect specificity (100%) with 96.3% sensitivity for values ≥ 7.54. This combined approach surpasses the accuracy of individual parameters, establishing the FIP Effusion Index as a superior diagnostic tool for FIP, with potential applications in both veterinary and human medicine for related coronavirus diseases.

Predictors for COVID-19-Specific and Non-COVID-19-Specific Deaths: A Cohort Study in Taiwan

Predictors for coronavirus disease 2019 (COVID-19)-specific and non-COVID-19-specific deaths have not been extensively studied. This cohort study in Taiwan investigated predictors for COVID-19-specific and non-COVID-19-specific deaths among hospitalized patients with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection. From January to July 2022, 2196 COVID-19 patients at Taipei City Hospital were consecutively recruited in this cohort study. Among the 175 deceased COVID-19 patients, 147 (84.0%) and 28 (16.0%) had COVID-19-specific and non-COVID-19-specific deaths, respectively. After controlling for other covariates, multinomial logistic regressions showed that age ≥ 65 was significantly associated with higher risks for both COVID-19-specific, adjusted odds ratio (AOR) = 6.21; and non-COVID-19-specific deaths (AOR = 6.06). Fully vaccinated individuals (AOR = 0.50) and Paxlovid recipients (AOR = 0.45) had lower COVID-19-specific death risks, while comorbid cancer or end-stage renal disease patients faced higher risks of non-COVID-19-specific deaths. Our study findings suggest that vaccination and Paxlovid treatment are crucial for reducing SARS-CoV-2-specific mortalities, while comorbid patients need careful monitoring to reduce non-COVID-19-specific deaths.

Evaluation of the Demographics, Clinical Laboratory Parameters, and Outcomes of Hospitalized Oncological Versus Non-oncological COVID-19 Patients

Introduction The COVID-19 pandemic emerged globally in 2019, exposing healthcare vulnerabilities. This study delves into the impact of COVID-19 on cancer patients, a high-risk group with increased susceptibility and mortality rates. Recent research underscores cancer patients' vulnerability to severe disease, often due to compromised immunity. Materials and methods This retrospective study analyzed data from 474 adult COVID-19 patients, admitted between March 2020 and July 2023. Patients were categorized into two groups: those with a medically recorded oncological disease (237) and those without any malignant history (237). Demographic and hematologic analysis aim to unveil COVID-19 impact on individuals with cancer history. Results Statistically significant differences in blood parameters highlighted distinctions, with cancer patients exhibiting higher creatinine, leukocyte, and D Dimers levels as well as lower hemoglobin, neutrophile, lymphocyte, and Serum Glutamate-Pyruvate Transaminase (SGPT) levels. Non-significant differences in certain parameters prompted a nuanced exploration of metabolic and coagulation variations. Conclusion This study unveils global COVID-19 effects on cancer patients, emphasizing clinical and laboratory differences. Findings underscore the imperative need for targeted interventions and enhanced support for cancer patients during the pandemic. Study limitations stress careful interpretation, urging further exploration of COVID-19 and cancer interplay.

Exploring Micronutrient Dynamics in COVID-19 Severity and Mortality: Unraveling the Roles of Vitamin D, Calcium, Phosphorus, Magnesium and ALP

The COVID-19 pandemic has underscored the critical importance of understanding the intricate relationship between micronutrient levels and disease outcomes. This study explores the impact of Vitamin D, calcium, phosphorus, magnesium, and alkaline phosphatase (ALP) on COVID-19 severity and mortality. The study involves 200 participants (100 COVID-19 patients, 100 controls), we meticulously analyzed micronutrient dynamics. Calcium, phosphorus, magnesium and ALP was measured spectrophotometrically. Vitamin D was measured using Chemiluminescent method. The study reveals that diminished levels of calcium, phosphorus, magnesium, and with elevated ALP, are significantly associated with COVID-19 cases. Whereas the Vitamin D levels in severe group was increased when compared to mild cases but decreased than control group. Disease severity correlated with declining calcium (r = - 0.35, p < 0.01), phosphorus (r = - 0.26, p < 0.05), and magnesium (r = - 0.21, p < 0.05), and increased ALP (r = 0.42, p < 0.001). Post-discharge, calcium (p < 0.05) and phosphorus (p < 0.01) showed positive trends, while ALP (p < 0.001) decreased. Notably, calcium (OR = 0.63, p < 0.05) and ALP (OR = 1.87, p < 0.001) emerged as significant predictors of disease severity. The findings not only illuminate potential therapeutic avenues but also emphasize the need to optimize nutrient levels, including magnesium, for COVID-19 prevention and management. Given the complexities of these relationships, further rigorous exploration, including well-designed trials and understanding underlying mechanisms, is imperative to unravel the dynamics of these nutrient interactions in the context of COVID-19.

Supplementary Information

The online version contains supplementary material available at 10.1007/s12291-024-01225-9.

The Era of Technology in Healthcare-An Evaluation of Telerehabilitation on Client Outcomes: A Systematic Review and Meta-analysis

PURPOSE

This systematic review and meta-analysis aimed to synthesize the evidence and examine the effect of telerehabilitation interventions compared to face-to-face rehabilitation interventions on physical functioning, mental health, and pain reduction among employed individuals, 18 years old and older.

METHODS

Following the Preferred Reporting Items of Systematic Reviews and Meta-Analyses (PRISMA) guidelines, a comprehensive search syntax was created and inputted into Ovid Medline, APA PsycINFO, Ovid Embase, CINAHL, and Scopus. Critical appraisal of the included studies was conducted by two researchers to assess the risk of bias. A meta-analysis was completed for the randomized controlled trials and GRADE was used to determine the certainty of the evidence.

RESULTS

A total of 16 out of 4319 articles were included in this review. This systematic review and meta-analysis found no significant differences between telerehabilitation interventions for physical functioning, mental health, and pain reduction outcomes compared to traditional rehabilitation interventions.

CONCLUSION

The study findings indicate that telerehabilitation is less effective than in-person care for occupational therapy and physical therapy services. Future research may look at addressing the limitations of the current study to produce more conclusive results, such as exploring the length of the intervention, knowledge and confidence of intervention application, and follow-ups.

SYSTEMATIC REVIEW REGISTRATION

This systematic review has been registered with PROSPERO under registration number CRD42022297849 on April 8th, 2022.

A pandemic of COVID-19 mis- and disinformation: manual and automatic topic analysis of the literature

Objective

Social media's arrival eased the sharing of mis- and disinformation. False information proved challenging throughout the coronavirus disease 2019 (COVID-19) pandemic with many clinicians and researchers analyzing the "infodemic." We systemically reviewed and synthesized COVID-19 mis- and disinformation literature, identifying the prevalence and content of false information and exploring mitigation and prevention strategies.

Design

We identified and analyzed publications on COVID-19-related mis- and disinformation published from March 1, 2020, to December 31, 2022, in PubMed. We performed a manual topic review of the abstracts along with automated topic modeling to organize and compare the different themes. We also conducted sentiment (ranked -3 to +3) and emotion analysis (rated as predominately happy, sad, angry, surprised, or fearful) of the abstracts.

Results

We reviewed 868 peer-reviewed scientific publications of which 639 (74%) had abstracts available for automatic topic modeling and sentiment analysis. More than a third of publications described mitigation and prevention-related issues. The mean sentiment score for the publications was 0.685, and 56% of studies had a negative sentiment (fear and sadness as the most common emotions).

Conclusions

Our comprehensive analysis reveals a significant proliferation of dis- and misinformation research during the COVID-19 pandemic. Our study illustrates the pivotal role of social media in amplifying false information. Research into the infodemic was characterized by negative sentiments. Combining manual and automated topic modeling provided a nuanced understanding of the complexities of COVID-19-related misinformation, highlighting themes such as the source and effect of misinformation, and strategies for mitigation and prevention.

Predictors for cause-specific and timing of deaths in patients with COVID-19: a cohort study in Taiwan

BACKGROUND

This cohort study determines the predictors for cause-specific and timing of deaths in patients with COVID-19 in Taiwan.

METHODS

Patients with laboratory-confirmed COVID-19 admitted to Taipei City Hospital from January 1 to July 31, 2022, were recruited in this cohort. All patients were followed up until death, discharge from the hospital, or August 31, 2022. Early deaths within the first 2 weeks were recorded, and the cause of death was confirmed by the death certificate database of Taiwan. Predictors of cause-specific and timing of deaths of patients with COVID-19 were determined using multinomial Cox proportional hazards regression analysis.

RESULTS

Of the 195 (8.0%) patients who died during hospitalization, 147 (84.0%) had COVID-19-specific deaths. Moreover, 54.9% of the deceased patients had early death. After controlling for other covariates, patients aged ≥ 65 years had a higher risk of COVID-19-specific, non-COVID-19-specific, early, and late deaths [adjusted hazards ratio (AHR): 3.85, 6.45, 3.33, and 6.57; 95% confidence interval (CI): 1.91-7.78, 1.17-35.68, 1.51-7.36, and 2.18-19.76, respectively]. Fully vaccinated patients had a lower risk of COVID-19-specific (AHR: 0.68; 95% CI: 0.47-0.98) and early deaths (AHR: 0.54; 95% CI: 0.35-0.84), whereas comorbid patients with chronic obstructive pulmonary disease had a higher risk of non-COVID-19-specific deaths (AHR: 5.43; 95% CI: 1.73-17.03).

CONCLUSIONS

This study suggests that prioritizing COVID-19 vaccination and carefully monitoring comorbid patients during hospitalization can reduce the risk of COVID-19-specific and early deaths and non-COVID-19-specific mortalities, respectively.

Eucalyptus Essential Oil Inhibits Cell Infection by SARS-CoV-2 Spike Pseudotyped Lentivirus

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) remains a public health concern due to infections with new SARS-CoV-2 variants. Therefore, finding effective preventive and therapeutic treatments against all SARS-CoV-2 variants is of great interest. In this study, we examined the capacity of eucalyptus essential oil (EEO) and eucalyptol (EOL) to prevent SARS-CoV-2 infection, using as a model SARS-CoV-2 Spike pseudotyped lentivirus (SARS-CoV-2 pseudovirus) and 293T cells transfected with human angiotensin-converting enzyme 2 (hACE2-293T cells). First, we determined the cytotoxicity of EEO and EOL using the MTT colorimetric assay, selecting non-cytotoxic concentrations ≤ 0.1% (v/v) for further analysis. Subsequently, we evaluated the capacity of EEO and EOL in cell cultures to preclude infection of hACE2-293T cells by SARS-CoV-2 pseudovirus, using a luciferase-based assay. We found that EEO and EOL significantly reduced SARS-CoV-2 pseudovirus infection, obtaining IC50 values of 0.00895% and 0.0042% (v/v), respectively. Likewise, EEO and EOL also reduced infection by vesicular stomatitis virus (VSV) pseudovirus, although higher concentrations were required. Hence, EEO and EOL may be able to inhibit SARS-CoV-2 infection, at least partially, through a Spike-independent pathway, supporting the implementation of aromatherapy with these agents as a cost-effective antiviral measure.

Motives for Vaccination Against COVID-19 Among the Ultra-orthodox Jewish Community in Israel

According to official data, the ultra-Orthodox group in Israel had the highest COVID-19 infection rate yet the lowest vaccination rate compared to the general population. The present study aimed to explore the rate of vaccine uptake as well as reported reasons for vaccine avoidance. In addition, we examined whether several protection motivation theory (PMT) components are good predictors of vaccine uptake. The components we addressed were: perceived susceptibility to the threat of COVID-19, perceived severity of the virus, and perceived efficiency and safety of the vaccine (i.e., response efficacy). The sample included 623 individuals (337 men) aged 18 + who were drawn from a database of a survey company specializing in the ultra-Orthodox community. We conducted a cross-sectional online survey between June 22, 2021, and July 7, 2021, approximately six months after the beginning of vaccination distribution. Results revealed that 65.8% of the participants (versus 89% of the general population) were vaccinated. Women were vaccinated at lower rates than men, whereas those in the Misnagdim ultra-Orthodox subgroup were vaccinated at higher rates than other subgroups in that community. The most prominent reasons for vaccine avoidance were perceived immunity based on prior infection by the virus and lack of trust in the vaccine's safety. In support of the PMT model, the perceived severity of the virus and the vaccine high efficacy were significant predictors of vaccine uptake. The study results call for better outreach to this community and specific psycho-education interventions tailored for its women.

Global Surgery: The Challenges and Strategies to Win a War That Must Be Won

Background

Modern science has conquered seas, land, and space. Although great strides have been made in technology and infectious diseases, global surgery, which was reborn in 2015, has not made much progress. The burden of surgical disease in low- and middle-income countries remains seemingly unconquerable, and its growth unstoppable. The myriad challenges in meeting the surgical needs of 5 billion people has intrigued the author.

Methods

The author collected the views of plastic surgeons on sources and impediments to the scale-up of plastic surgery in low- and middle-income countries, as well as potential strategies for overcoming these obstacles. The author then performed a literature search reviewing the topics that arose from those discussions. The author proposes a strategy using plastic surgery as a model surgical discipline.

Results

A root-cause analysis suggests that the Alma Ata Declaration, with its focus on primary healthcare, is the probable genesis of global surgery (GS) woes. The absence of a clear GS community leader and the fragmented nature of GS advocates who operate in multiple silos, without a clear unified goal, are the primary reasons GS advocates have achieved so little on the ground.

Conclusions

Global surgery requires a business model to sustainably meet the surgical needs of the 5 billion people globally. The proposed and implemented strategies must meet rigorous criteria to ensure sustainability, as quick-fix solutions are counterproductive. The development of centers of excellence offers a viable solution to problems that must be addressed successfully.

Effects of Covid-19 Emergency and Associated Lockdown Policies on the Normative Expectations for the Personality Assessment Inventory (PAI) and the Rorschach Performance Assessment System (R-PAS)

Standardized personality tests compare the test taker's scores to those of a large sample of individuals representing normative expectations. However, what is psychologically normal in one historical context may not be similarly normal in another, so the recent spread of a new coronavirus, SARS-Cov-2 (COVID-19), may have implications for what should normally be expected of a nonclinical person taking a personality test shortly after this dramatic event. To address this research question, we administered the Personality Assessment Inventory (PAI) and the Rorschach Performance Assessment System (R-PAS) to 60 nonclinical volunteers from Italy and compared their scores with the official normative reference values of the two tests, which had been established before COVID-19. The results of a series of two-sample t-tests indicated that our newly collected sample appeared somewhat less psychologically healthy compared with normative expectations, and these discrepancies were more pronounced on the PAI than on the R-PAS. Implications and future perspectives are discussed.

Efficiency of hospitals in COVID-19 era: a case study of an affected country

BACKGROUND

The COVID-19 pandemic has affected all aspects of human life and society and has damaged the global economy. Health systems and hospitals were not exempted from this situation. The performance of hospitals during the COVID-19 pandemic was affected by policies related to the pandemic and other factors. This study aimed to investigate hospital performance indicators such as admissions and revenue.

METHODS

The medical records of patients with selected orthopedic and general surgical diseases were studied in two government hospitals in the capital city of Urmia in the second quarter of 2019, with the same period in 2020. Data were extracted based on the number of medical records, including length of stay, hospitalization type, sex, age, insurance, number of deaths, and readmissions from the medical records department. Payment amounts were collected from the revenue department and Hospital Information System. Two performance indicators, two result indicators, and two control indicators were used. Mean disease-specific revenue, total revenue, length of stay, and bed occupancy rate were calculated for both periods. Data were analyzed using SPSS (version 16) and the Mann-Whitney statistical test.

RESULTS

2140 cases were studied in the two disease groups. An increase was observed in the number of hospitalizations and average length of stay during the pandemic. The mean disease-specific revenue in the quarter of 2020 was higher than in 2019. However, total revenue decreased, and the difference in the mean of total revenue was significant for the two years (P = 0.00) in teaching center. The number of readmissions remained unchanged throughout in the pandemic. The number of deaths due to general surgery diseases in 2020 compared to the same period in 2019 was associated with a relative increase.

CONCLUSIONS

The COVID-19 pandemic increased the slope of health care costs. The analysis of the studied variables as performance, result, and control indicators showed that hospitalization rate, bed occupancy rate, and total revenue followed a similar and decreasing pattern in the selected hospitals during the COVID-19 pandemic. Hospitals should adopt appropriate strategies so that, in conditions identical to the COVID-19 pandemic, their performance is accompanied by proper management of resources, efficiency, and minimal reduction in revenue.

Design, synthesis, docking, and antiviral evaluation of some novel pyrimidinone-based α-aminophosphonates as potent H1N1 and HCoV-229E inhibitors

Dialkyl/aryl aminophosphonates, 3a-g and 4a-e were synthesized using the LiClO4 catalyzed Kabachnic Fields-type reaction straightforwardly and efficiently. The synthesized phosphonates structures were characterized using elemental analyses, FT-IR, 1H NMR, 13C NMR, and MS spectroscopy. The new compounds were subjected to in-silico molecular docking simulations to evaluate their potential inhibition against Influenza A Neuraminidase and RNA-dependent RNA polymerase of human coronavirus 229E. Subsequently, the compounds were further tested in vitro using a cytopathic inhibition assay to assess their antiviral activity against both human Influenza (H1N1) and human coronavirus (HCoV-229E). Diphenyl ((2-(5-cyano-6-oxo-4-phenyl-1,6-dihydropyrimidin-2-yl) hydrazinyl) (furan-2-yl) methyl) phosphonate (3f) and diethyl ((2-(5-cyano-6-oxo-4-phenyl-1,6-dihydropyrimidin-2-yl) hydrazinyl) (1,5-dimethyl-3-oxo-2-phenyl-2,3-dihydro-1H-pyrazol-4-yl) methyl) phosphonate (4e) were demonstrated direct inhibition activity against Influenza A Neuraminidase and RNA-dependent RNA polymerase. This was supported by their highly favorable binding energies in-silico, with top-ranked values of -12.5 kcal/mol and -14.2 kcal/mol for compound (3f), and -13.5 kcal/mol and -9.89 kcal/mol for compound (4e). Moreover, they also displayed notable antiviral efficacy in vitro against both viruses. These compounds demonstrated significant antiviral activity, as evidenced by selectivity indices (SI) of 101.7 and 51.8, respectively against H1N1, and 24.5 and 5.1 against HCoV-229E, respectively.

Combined effect of brazilin-rich extract and lawsone methyl ether against infection-causing bacteria

Bacterial contamination and infection widely affect the food, pharmaceutical and biomedical industries. Additionally, these bacteria developed resistance to synthetic antibiotics causing public health danger, globally. Natural plant extracts (NPE) are suitable alternatives to synthetic antibiotics to tackle antimicrobial resistance problems. Furthermore, a blend or combination of different NPEs exerts a wide spectrum of antimicrobial activity. Therefore, the combined effect of brazilin-rich extract (BRE) and lawsome methyl ether (LME) against infection-causing common bacteria were evaluated. BRE had a lower minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) against most of the Gram-negative bacteria (Salmonella typhi, Salmonella typhimurium and Pseudomonas aeruginosa) while LME was active against most of the Gram-positive bacteria (Bacillus subtilis, Staphylococcus aureus, and Staphylococcus epidermidis). The combination of BRE and LME at 2:1 and 1:1 concentration significantly reduced the MIC value of each compound as compared to either BRE or LME concentration alone (P < 0.05). Further time-kill kinetics revealed a 3.0-3.5 log reduction in Gram-positive bacteria and a 2.5-3.0 log reduction in Gram-negative bacteria during 120 min of incubation, respectively. Therefore, a combination of BRE and LME was recommended as natural antibacterial to synthetic antibiotics for food and pharmaceutical applications.

Regional and temporal variations in COVID-19 cases and deaths in Ethiopia: Lessons learned from the COVID-19 enhanced surveillance and response

BACKGROUND

The COVID-19 pandemic is one of the most devastating public health emergencies of international concern to have occurred in the past century. To ensure a safe, scalable, and sustainable response, it is imperative to understand the burden of disease, epidemiological trends, and responses to activities that have already been implemented. We aimed to analyze how COVID-19 tests, cases, and deaths varied by time and region in the general population and healthcare workers (HCWs) in Ethiopia.

METHODS

COVID-19 data were captured between October 01, 2021, and September 30, 2022, in 64 systematically selected health facilities throughout Ethiopia. The number of health facilities included in the study was proportionally allocated to the regional states of Ethiopia. Data were captured by standardized tools and formats. Analysis of COVID-19 testing performed, cases detected, and deaths registered by region and time was carried out.

RESULTS

We analyzed 215,024 individuals' data that were captured through COVID-19 surveillance in Ethiopia. Of the 215,024 total tests, 18,964 COVID-19 cases (8.8%, 95% CI: 8.7%- 9.0%) were identified and 534 (2.8%, 95% CI: 2.6%- 3.1%) were deceased. The positivity rate ranged from 1% in the Afar region to 15% in the Sidama region. Eight (1.2%, 95% CI: 0.4%- 2.0%) HCWs died out of 664 infected HCWs, of which 81.5% were from Addis Ababa. Three waves of outbreaks were detected during the analysis period, with the highest positivity rate of 35% during the Omicron period and the highest rate of ICU beds and mechanical ventilators (38%) occupied by COVID-19 patients during the Delta period.

CONCLUSIONS

The temporal and regional variations in COVID-19 cases and deaths in Ethiopia underscore the need for concerted efforts to address the disparities in the COVID-19 surveillance and response system. These lessons should be critically considered during the integration of the COVID-19 surveillance system into the routine surveillance system.

Financing for pandemic preparedness and response measures: a systematic scoping review

Objective

To obtain insights into reducing the shortfall in financing for pandemic preparedness and response measures, and reducing the risk of another pandemic with social and economic costs comparable to those of the coronavirus disease.

Methods

We conducted a systematic scoping review using the databases ScienceDirect, Scopus, JSTOR, PubMed® and EconLit. We included articles published in any language until 1 August 2023, and excluded grey literature and publications on epidemics. We categorized eligible studies according to the elements of a framework proposed by the World Health Organization Council on the Economy of Health for All: (i) root/structural causes; (ii) social position/foundations; (iii) infrastructure and systems; and (iv) communities, households and individuals.

Findings

Of the 188 initially identified articles, we included 60 in our review. Most (53/60) were published after 2020, when academic interest had shifted towards global financing mechanisms. Most (37/60) addressed two or more of the council framework elements. The most frequently addressed element was infrastructure and systems (54/60), discussing topics such as health systems, financial markets and innovation ecosystems. The roots/structural causes were discussed in 25 articles; communities, households and individuals in 22 articles; and social positions/foundations in 11.

Conclusion

Our review identified three important gaps: a formal definition of pandemic preparedness and response, impeding the accurate quantification of the financing shortfall; research on the extent to which financing for pandemic preparedness and response has been targeted at the most vulnerable households; and an analysis of specific financial instruments and an evaluation of the feasibility of their implementation.

Preliminary evaluation of behavior technician burnout when working with boarded and traditional psychiatric inpatients diagnosed with developmental disabilities

PROBLEM

The COVID-19 pandemic has led to a youth mental health crisis, with research demonstrating an increased prevalence of depression, anxiety, and disruptive behavior in youth compared to pre-pandemic years. Consequently, the insurgence of emergency psychiatric evaluations has increased the demands for extended inpatient stay (or patient boarding) at various licensed treatment facilities. Questions remain about the extent of burnout being experienced by behavior technicians who are caring for these patients.

METHODS

The Shirom-Melamed Burnout Measure was used to evaluate symptoms of burnout of behavior technicians practicing at a specialized psychiatric inpatient unit. Comparisons were made for instances of caring for boarded (meeting criteria for discharge but unable to be discharged due to disposition) and traditional patients (short-term treatment).

FINDINGS

Behavior technicians caring for boarded patients reported significantly higher scores in overall stress, physical exhaustion, cognitive fatigue, and emotional exhaustion than those managing patients getting traditional care.

CONCLUSIONS

Extensive burnout can have adverse impacts at both the personal level (staff well-being, individual staff-patient interactions) and clinic level (daily operations and service, general quality of care). Efforts need to be made to address this issue to prevent staff turnover.

Older adults' experiences of wellbeing during the COVID-19 pandemic: a comparative qualitative study in Italy and Switzerland

Background

Particularly at the beginning of the pandemic, adults aged 65 and older were portrayed as a homogeneously vulnerable population due to the elevated health risks associated with contracting the COVID-19 disease. This portrayal, combined with travel restrictions, closures of economic sectors, country-wide lockdowns, and suggestions by governmental authorities to limit social contact, had important implications for the wellbeing of older individuals. However, older adults are a heterogeneous population who relies on different resources to cope with stressful periods, like the COVID-19 pandemic. Simultaneously, countries also employed different measures to contain the virus. Research thus far has focused on the short-term consequences of the pandemic, but studies have yet to address its long-term consequences.

Objectives

We explore older adults' lived experiences nearly 2 years after the pandemic onset. Moreover, we focus on the bordering countries of Switzerland and Italy, who employed contrasting containment measures. This paper analyzes (1) How the COVID-19 pandemic impacted the experiences of wellbeing of older adults in these regions and (2) How older adults coped with the stressors brought about by the pandemic, in particular social distancing.

Methods

The paper draws on 31 semi-structured interviews with 11 Swiss natives residing in Switzerland, 10 Italian migrants residing in Switzerland, and 10 Italian natives residing in Italy. Interviews were conducted from December 2021 to March 2022.

Results

Coping mechanisms of the three groups related to acceptance, hobbies, cognitive reframing, telephone use, vaccine use and social distancing. However, results show heterogeneous experiences of wellbeing, with Swiss natives sharing more positive narratives than the other two groups. Moreover, Italian migrants and Italian natives expressed the long-term negative consequences of the pandemic on their experienced wellbeing.

Impact of home quarantine on physical fitness of school-aged children in Xi'an during COVID-19 lockdown: a cross-sectional study

BACKGROUND

The emergence of the COVID-19 pandemic has sparked unprecedented global challenges. This study intends to investigate changes in the physical fitness of students aged 6-22 during the COVID-19 pandemic and to assess how the pandemic lockdown period affected these markers.

METHODS

According to the National Student Physical Health Standard, a stratified cluster sampling method was used to evaluate the body shape, body function, and physical fitness of children and adolescents (n = 8092) in Xi'an from 2019 to 2021. This study uses SPSS 26.0 (IBM, Chicago, IL, USA) for data statistics and analysis. The connection between physical fitness and years was measured using the one-variable analysis in the general linear model (GLM). Independent t-tests were used to determine the sex (male/female) and area (urban/rural) differences.

RESULTS

During the lockdown period, Body Mass Index (BMI) and flexibility showed an upward trend, while aerobic, strength, speed, and endurance showed a downward trend. In addition to the BMI of middle and high school students, almost all indicators show significant sex differences. There are urban-rural differences in some indicators, such as chin-ups.

CONCLUSION

During the pandemic of COVID-19, the physical fitness of children and adolescents in Xi'an did not change significantly, and there were slight differences among different grades. During the pandemic lockdown period, lifestyle changes and reduced outdoor activities for children and adolescents may be the reasons for the changing trend of various indicators.

Medical knowledge of ChatGPT in public health, infectious diseases, COVID-19 pandemic, and vaccines: multiple choice questions examination based performance

Background

At the beginning of the year 2023, the Chatbot Generative Pre-Trained Transformer (ChatGPT) gained remarkable attention from the public. There is a great discussion about ChatGPT and its knowledge in medical sciences, however, literature is lacking to evaluate the ChatGPT knowledge level in public health. Therefore, this study investigates the knowledge of ChatGPT in public health, infectious diseases, the COVID-19 pandemic, and its vaccines.

Methods

Multiple Choice Questions (MCQs) bank was established. The question's contents were reviewed and confirmed that the questions were appropriate to the contents. The MCQs were based on the case scenario, with four sub-stems, with a single correct answer. From the MCQs bank, 60 MCQs we selected, 30 MCQs were from public health, and infectious diseases topics, 17 MCQs were from the COVID-19 pandemic, and 13 MCQs were on COVID-19 vaccines. Each MCQ was manually entered, and tasks were given to determine the knowledge level of ChatGPT on MCQs.

Results

Out of a total of 60 MCQs in public health, infectious diseases, the COVID-19 pandemic, and vaccines, ChatGPT attempted all the MCQs and obtained 17/30 (56.66%) marks in public health, infectious diseases, 15/17 (88.23%) in COVID-19, and 12/13 (92.30%) marks in COVID-19 vaccines MCQs, with an overall score of 44/60 (73.33%). The observed results of the correct answers in each section were significantly higher (p = 0.001). The ChatGPT obtained satisfactory grades in all three domains of public health, infectious diseases, and COVID-19 pandemic-allied examination.

Conclusion

ChatGPT has satisfactory knowledge of public health, infectious diseases, the COVID-19 pandemic, and its vaccines. In future, ChatGPT may assist medical educators, academicians, and healthcare professionals in providing a better understanding of public health, infectious diseases, the COVID-19 pandemic, and vaccines.

Predictive value of admission D-dimer levels in patient with acute ischaemic stroke and COVID-19: a second-wave prospective cohort study

OBJECTIVES

This study aimed to evaluate the predictive value of admission D-dimer levels for in-hospital mortality in patients with COVID-19 and acute ischaemic stroke.

DESIGN

Cohort (prospective).

SETTING

Tertiary referral hospital in the capital city of Indonesia conducted from June to December 2021.

PARTICIPANTS

60 patients with acute ischaemic stroke and COVID-19 were included. Patients were classified into D-dimer groups (low and high) according to a 2 110 ng/mL cut-off value, determined via receiver operating characteristic analysis.

PRIMARY AND SECONDARY OUTCOME MEASURES

The primary outcome was in-hospital mortality, with admission D-dimer levels as the major predictor. Secondary outcomes included associations between other demographic and clinical variables and the admission D-dimer value. Kaplan-Meier method was used to carry out survival analysis, with univariable and multivariable Cox regression performed to assess the association of D-dimer levels and other confounding variables (including demographic, clinical and laboratory parameters) with in-hospital mortality.

RESULTS

The findings demonstrated an association between elevated admission D-dimer levels (≥2 110 ng/mL) and an increased likelihood of death during hospitalisation. The adjusted HR was 14.054 (95% CI 1.710 to 115.519; p=0.014), demonstrating an increase in mortality risk after accounting for confounders such as age and diabetes history. Other significant predictors of mortality included a history of diabetes and increased white blood cell count.

CONCLUSIONS

Admission D-dimer levels may be a useful predictive indicator for the likelihood of death during hospitalisation in individuals with COVID-19 and acute ischaemic stroke.

The Evaluation of Menstrual Alterations in Mexican Women After Vaccination Against COVID-19

Introduction Menstrual changes after COVID-19 vaccination suggest a secondary connection to the immune response to vaccination rather than a specific component of the vaccine. The evaluation of these alterations in women with the same and multiple vaccination schedules will provide valuable information. Methods An observational, cross-sectional study was carried out; data were collected through a survey of 164 vaccinated women at the American British Cowdray (ABC) Santa Fe Medical Center Hospital in Mexico City. The survey was validated by the Delphi method. Results The survey was applied from March 2023 to February 2024. Post-vaccination menstrual alterations occurred in 48.1%; the most frequent alteration was menorrhagia in 20.7% and pain accompanied by menstruation in 27.4%. Fifty-seven percent had a history of previous COVID-19 infection. There were no significant associations between changes in menstrual bleeding after vaccination, history of COVID-19 infection, and age group (p>0.9). However, women who received multiple doses of vaccines had a higher risk of suffering abnormalities in bleeding by 36.6%. Conclusion The incidence of menstrual disorders in this study post COVID-19 vaccination was 49%. Menstrual alterations in patients who received multiple doses and a single regimen were similar at 47% and 48%, where there is no statistical significance. The greatest number of menstrual alterations was seen in the first dose at 36%, probably due to the immunity they acquired after the different types of vaccination. Vaccination is a very effective way to prevent the severity of COVID-19 infection; it has an impact on menstrual bleeding in terms of menorrhagia and metrorrhagia. Vaccination against COVID-19 is associated with small changes in the menstrual cycle, without statistical significance. Women receiving the first dose of the vaccine had changes in the amount of bleeding specifically the amount.

COVID-19: From emerging variants to vaccination

The vigorous spread of SARS-CoV-2 resulted in the rapid infection of millions of people worldwide and devastation of not only public healthcare, but also social, educational, and economic infrastructures. The evolution of SARS-CoV-2 over time is due to the mutations that occurred in the genome during each replication. These mutated forms of SARS-CoV-2, otherwise known as variants, were categorized as variants of interest (VOI) or variants of concern (VOC) based on the increased risk of transmissibility, disease severity, immune escape, decreased effectiveness of current social measures, and available vaccines and therapeutics. The swift development of COVID-19 vaccines has been a great success for biomedical research, and billions of vaccine doses, including boosters, have been administered worldwide. BNT162b2 vaccine (Pfizer-BioNTech), mRNA-1273 (Moderna), ChAdOx1 nCoV-19 (AstraZeneca), and Janssen (Johnson & Johnson) are the four major COVID-19 vaccines that received early regulatory authorization based on their efficacy. However, some SARS-CoV-2 variants resulted in higher resistance to available vaccines or treatments. It has been four years since the first reported infection of SARS-CoV-2, yet the Omicron variant and its subvariants are still infecting people worldwide. Despite this, COVID-19 vaccines are still expected to be effective at preventing severe disease, hospitalization, and death from COVID. In this review, we provide a comprehensive overview of the COVID-19 pandemic focused on evolution of VOC and vaccination strategies against them.

The weekly P25 of the age of the influenza-like illness shows a higher correlation with COVID-19 mortality than rapid tests and could predict the evolution of COVID-19 pandemics in sentinel surveillance, Piura, Perú, 2021

GOAL

To describe the dynamics of syndromic surveillance of ILI cases in seasonal and COVID-19 pandemic scenarios.

METHODOLOGY

A descriptive study of the epidemiological behavior of ILI in the seasonal and COVID-19 pandemic scenarios. Of a sample of 16,231 cases of ILI from 2013 to 2021, the features of cases from 68 weeks before and during the pandemic were selected and compared; weekly endemic channels were built; data fluctuations on the trend of ILI cases were analyzed; and estimated weekly correlations between weekly P25 age, cases confirmed by rapid tests, and mortality from COVID-19. To analyze clinical-epidemiological and mortality data, Student's t test, Mann-Whitney U, Chi2, Spearman's Ro, polynomial, and multinomial regression with a 95% confidence interval were used.

RESULTS

During the COVID-19 pandemic, those most affected with ILI were: adults and the elderly; higher median age; autochthonous cases predominated; a lower proportion of other syndromes; delays in seeking care; and a higher rate of pneumonia attack than in the seasonal period (p< 0.01). Rapid tests (serological and antigenic) confirmed 52.7% as COVID-19. Two ILI pandemic waves were seasonally consistent with confirmed COVID-19 cases and district mortality with robust correlation (p<0.01) before and during the pandemic, especially the ILI weekly P25 age, which has a more robust correlation with mortality than ILI and rapid tests (p<0.01) whose endemic channels describe and could predict the evolution of the pandemic (p<0.01).

CONCLUSIONS

The pandemic changed the clinical and epidemiological behavior of ILI, and the weekly P25 of age is a more robust indicator to monitor the COVID-19 pandemic than a rapid test and could predict its evolution.

Association metrological factors with Covid-19 mortality in Tehran, Iran (2020-2021)

The outbreak of the Coronavirus disease (COVID-19) has raised questions about the potential role of climate and environmental factors in disease transmission. This study examined meteorological and demographic factors to determine their impact on mortality and hospitalization rates in Tehran, Iran from January 1, 2021, to December 31, 2022. Notably, hospitalization cases were positively associated with temperature (P-value: 0.001 in spring, P-value: 0.045 in winter) and pressure (P-value: 0.004 in spring), while being negatively associated with wind speed (P-value: 0.03 in spring, P-value: 0.01 in autumn) and humidity (P-value: 0.001 in autumn) during the spring and autumn seasons. Conversely, mortality was associated with wind speed (P-value: 0.01) and pressure (P-value: 0.02) during winter and spring, respectively. Moreover, temperature was associated with mortality in both spring (P-value: 0.00) and winter (P-value: 0.04). The findings suggest that identifying the environmental factors that contribute to the spread of COVID-19 can help prevent future waves of the pandemic in Tehran.

Interactive changes in depression and loneliness symptoms prior to and during the COVID-19 pandemic: A longitudinal network analysis

OBJECTIVES

Depression and loneliness co-occur frequently. This study examined interactive changes between depression and loneliness among older adults prior to and during the COVID-19 pandemic from a longitudinal network perspective.

METHODS

This network study was based on data from three waves (2016-2017, 2018-2019, and 2020) of the English Longitudinal Study of Ageing (ELSA). Depression and loneliness were measured with the eight-item version of the Center for Epidemiologic Studies Depression Scale (CESD-8) and three item version of the University of California Los Angeles (UCLA) Loneliness Scale, respectively. A network model was constructed using an Ising Model while network differences were assessed using a Network Comparison Test. Central symptoms were identified via Expected Influence (EI).

RESULTS

A total of 4,293 older adults were included in this study. The prevalence and network of depression and loneliness did not change significantly between the baseline and pre-pandemic assessments but increased significantly from the pre-pandemic assessment to during COVID-19 assessment. The central symptom with the strongest increase from pre-pandemic to pandemic assessments was "Inability to get going" (CESD8) and the edge with the highest increase across depression-loneliness symptom communities was "Lack companionship" (UCLA1) - "Inability to get going" (CESD8). Finally, "Feeling depressed" (CESD1) and "Everything was an effort" (CESD2) were the most central symptoms over the three assessment periods.

CONCLUSIONS

The COVID-19 pandemic was associated with significant changes in the depression-loneliness network model. The most changed symptoms and edges could be treatment targets for reducing the risk of depression and loneliness in older adults.

Design of an innovative sanitation system for bike-sharing service

The concept of a novel sanitization device specifically designed for helmets used in bike share services is presented in this scientific work. The system uses ozone, a powerful oxidizing agent, to completely remove dust and bacteria from the helmet surface. Throughout the development process, special attention has been paid to the dual initial goals of efficacy in removing dirt and batteries, as well as ease of use related to the device's safety. In fact, today's sharing services are rarely capable of providing adequate disinfection of the tools, which is especially troubling given the most recent years of pandemic caused by Covid-19. The invention of the ozone-based sanitization device addresses the growing concern about hygiene and safety in bike share services. Furthermore, due to its portability and ease of use, the device is a cost-effective and viable solution for use in a variety of settings. A significant contribution to the advancement of sanitization technology and public health is expected with this work.

Metformin Alters mRNA Expression of FOXP3, RORC, and TBX21 and Modulates Gut Microbiota in COVID-19 Patients with Type 2 Diabetes

COVID-19 remains a significant global concern, particularly for individuals with type 2 diabetes who face an elevated risk of hospitalization and mortality. Metformin, a primary treatment for type 2 diabetes, demonstrates promising pleiotropic properties that may substantially mitigate disease severity and expedite recovery. Our study of the gut microbiota and the mRNA expression of pro-inflammatory and anti-inflammatory T-lymphocyte subpopulations showed that metformin increases bacterial diversity while modulating gene expression related to T-lymphocytes. This study found that people who did not take metformin had a downregulated expression of FOXP3 by 6.62-fold, upregulated expression of RORC by 29.0-fold, and upregulated TBX21 by 1.78-fold, compared to the control group. On the other hand, metformin patients showed a 1.96-fold upregulation in FOXP3 expression compared to the control group, along with a 1.84-fold downregulation in RORC expression and an 11.4-fold downregulation in TBX21 expression. Additionally, we found a correlation with gut microbiota (F/B ratio and alpha-diversity index) and pro-inflammatory biomarkers. This novel observation of metformin's impact on T-cells and gut microbiota opens new horizons for further exploration through clinical trials to validate and confirm our data. The potential of metformin to modulate immune responses and enhance gut microbiota diversity suggests a promising avenue for therapeutic interventions in individuals with type 2 diabetes facing an increased risk of severe outcomes from COVID-19.

Social determinants of health during and after coronavirus: a qualitative study

BACKGROUND

Health has multiple dimensions influenced not only by individual factors but also by broader social, economic, cultural, and political structures. The widespread COVID-19 pandemic has multidimensional effects on people's lives, which can have effects on individuals' lifestyles after the COVID-19. This study aimed to speculate the social determinants of health during and after the COVID-19, which can lead to more effective planning for promoting community health.

METHODS

The present study interviewed 21 experts in social and medical fields during four months. The sampling method was snowball. The interviews were semi-structured and administered in-person or electronic. All interviews were transcribed and analyzed according to the Brown and Clarke's six-stage framework to extract themes.

RESULTS

the participants were 13 males, eight experts in social field, all had PhD, 17 were academic members, and 10 were members of the Social Determinants of Health Research Center. The qualitative content analysis induced seven different social themes that affect the health which included: justice (3 Subcategories), integration (4 Subcategories), acceptance (4 Subcategories), participation (2 Subcategories), adaptation (3 Subcategories), flourishing (4 Subcategories), and cohesion (3 Subcategories).

CONCLUSIONS

According to the present study, a grand plan to cover all positive and negative social effects of COVID-19 should have at least seven different dimensions. However, the present models of effective social determinants in health do not have such comprehensiveness. Future studies may provide a proper model to be used in clinical and research fields.

Immediate Impact of the COVID-19 Pandemic on Heart and Kidney Transplantation and the Recovery Trends in 30 Developed and Less-Developed Countries

BACKGROUND The COVID-19 pandemic had multifaceted and disproportionate impacts on various countries. We investigated the decline of heart and kidney transplantation in 2020 and recovery trends in 2020, 2021, and 2022 in 30 developed and developing countries, considering COVID-19 incidence and mortality and pandemic-time economic variables. MATERIAL AND METHODS Data were obtained from reliable open databases. Nations were grouped by hierarchical cluster analysis into high-gross domestic product (GDP), mid-GDP, and low-GDP countries. Expected transplant numbers for 2020 to 2021 were estimated by the artificial neural network method using data from 2015 to 2019. Effect size and its inference were determined through the Hodges-Lemann estimate and Wilcoxon signed-rank test, respectively. The possible disproportionate effect was estimated by the Jonckheere-Tersptra test. Associations between transplantation and economic variables, COVID-19 caseload, and mortality were examined using Kendall rank correlation analysis. RESULTS All nations experienced a decline in 2020 and some real recovery in 2020 to 2022. For high-GDP countries, decline was insignificant and recovery was marginal; for mid-GDP countries, decline was significant for heart and deceased kidneys and recovery was modest; for low-GDP countries, decline was significant for heart, live kidneys, and deceased kidneys and recovery was marginal. The low-GDP countries were disproportionally negatively impacted, although the associations between the impact and economic variables, COVID-19 incidence, and COVID-19 mortality were statistically insignificant. CONCLUSIONS More inclusive studies of socioeconomic and cultural factors that affected the impact of the COVID-19 pandemic in different countries can be useful for better preparedness and reducing disruption in healthcare in future global pandemics.

Prevalence of post-traumatic stress disorder risk post-COVID-19 in 12 countries in Latin America: a cross-sectional survey

Introduction

Latin America was the region most affected by COVID-19 in the second quarter of 2020, and consequently, the impact on mental health requires evaluation. The aim of this study was to assess the risk of post-traumatic stress disorder (PTSD) caused by bereavement due to COVID-19 in 12 countries in Latin America.

Methods

The current study was an analytical cross-sectional study. Validated tests were applied for PTSD, depression, anxiety, and stress (DASS-21), questions about the respondent's condition or their environment, and demographic questions, as well as the length of the mourning period of suffering.

Results

The outcomes demonstrated that the PTSD risk increased for women (p < 0.001), when a friend or acquaintance had COVID-19 (p = 0.002), when a close relative died from COVID-19 (p = 0.010), having severe depression (p <0.001), severe anxiety (p  <0.001), severe stress (p  <0.001), residing in Chile (p  <0.001), Paraguay (p  <0.001), Bolivia (p  <0.001), Costa Rica (p  <0.001) or El Salvador (p  = 0.005). On the other hand, there was less risk of PTSD at an older age (p  <0.001) or if respondents had a sentimental partner (p  = 0.025). In the case of severe PTSD, there was a greater gender risk for women (p  <0.001), a close relative dying from COVID-19 (p  = 0.017), having severe depression (p  <0.001), severe anxiety (p  <0.001), severe stress (p  <0.001), residing in Chile (p  <0.001), Paraguay (p  <0.001), Bolivia (p  <0.001) and Costa Rica (p  = 0.002). It was also observed that there was less risk of severe PTSD at an older age demographic (p  <0.001).

Discussion

It can be concluded that the percentages of PTSD are high in its clinical presentation as severe, especially among Latin American women.

COVID-19 coverage from six network and cable news sources in the United States: Representation of misinformation, correction, and portrayals of severity

The COVID-19 pandemic in the United States is marked by divisions in perceptions of disease severity as well as misperceptions about the virus and vaccine that vary along ideological and political party lines. Perceptual differences may be due to differences in the information about the virus that individuals are exposed to within their own identity-affirming ideological news bubbles. This content analysis of six different national network transcripts highlights differences in coverage of severity, and the prevalence of misinformation and its correction that are consistent with previously established preferred news channels of conservatives/Republicans and liberals/Democrats and their perceptions and misperceptions about the pandemic. Results contribute to the growing body of country-specific COVID-19 media studies that allow for comparisons across nations with different cultures and media systems, as these factors play a pivotal role in national responses and experiences.

The impact of the pandemic on the presentation and treatment of head and neck squamous cell carcinoma at a county hospital

INTRODUCTION

In March 2020, the World Health Organization declared COVID-19 a pandemic, initiating stay-at-home orders which delayed cancer care and screening. The impact on head and neck cancer care in populations at risk has yet to be elucidated. The objective of this investigation is to evaluate how the presentation, diagnosis, and treatment of head and neck squamous cell carcinoma cancer patients at a county hospital were affected by the pandemic.

METHODS

A retrospective review of patients with head and neck squamous cell carcinoma that were diagnosed at a county hospital 365 days before and after stay-at-home orders were initiated. The primary outcomes were duration between diagnosis from imaging and initiation of treatment. Secondary outcomes included mortality, stage, nodal status, and distant metastasis at presentation.

RESULTS

There was a total of 105 diagnoses. Sixty-five (62 %) head and neck squamous cell carcinoma diagnoses were diagnosed before the stay-at-home orders were initiated, and 40 (38 %) after. Eighty percent (32/40) of diagnoses presenting after had stage IV disease compared to 58 % (38/65) in those before (p < 0.05). A higher percentage of patients who presented later had a >30-day delay to biopsy (43 % v. 20 %, OR: 3.0, p < 0.05). This difference was exacerbated by those with laryngeal, oral cavity, or oropharyngeal cancer (45 % v. 15 %, OR: 4.5, p < 0.05). There was a larger delay from diagnosis to treatment after the orders were initiated (68 v. 53, p < 0.05) however there was no difference in one-year mortality (25 % v. 23 %, p > 0.05). This investigation found a 14 % loss to follow-up.

CONCLUSIONS AND RELEVANCE

In this cohort of head and neck squamous cell carcinoma diagnoses at a county hospital, those diagnosed after the stay-at-home orders were initiated presented with more advanced disease. They also had more delays in diagnosis and initiation of treatment. There was no difference in one-year mortality rates between the two groups however there was a significant loss to follow-up, limiting prognostication. These findings serve to better prepare healthcare providers to implement optimized care during future shutdowns related to public health crises.

LEVEL OF EVIDENCE

III.

Artificial intelligence for predicting mortality in hospitalized COVID-19 patients

Background

The global demographic situation has been significantly impacted by the COVID-19 pandemic. The objective of this study was to develop a model that predicts the risk of COVID-associated mortality using clinical and laboratory data collected within 72 h of hospital admission.

Materials and methods

A total of 3024 subjects with PCR-confirmed COVID-19 were admitted to Almazov National Research Medical Center between May 2020 and August 2021. Among them, 6.25% (n = 189) of patients had a fatal outcome. Five machine learning models and the Boruta-SHAP feature selection method were utilized to assess the risk of mortality during COVID-19 hospitalization.

Results

All methods demonstrated high efficacy, with ROC AUC (Receiver Operating Characteristic Area Under the Curve) values exceeding 80%. The selected Boruta-SHAP features, when incorporated into the random forest model, achieved an ROC AUC of 93.1% in the validation.

Conclusion

Throughout the study, close collaboration with healthcare professionals ensured that the developed tool met their practical needs. The success of our model validates the potential of machine learning techniques as decision support systems in clinical practice.

Temperature-insensitive label-free SARS-CoV-2 spike protein detection based on complementary refractive index and temperature dependence of multi-mode interference and grating resonance

We demonstrated temperature-insensitive, label-free detection of SARS-CoV-2 spike protein (SSP) by harnessing the complementary refractive index and temperature dependence of multi-mode interference (MMI) created by a no-core fiber (NCF) and phase-matched resonance generated by a long-period fiber grating (LPFG). To combine MMI and grating resonance, primarily sensitive to the surrounding medium refractive index (SMRI) and ambient temperature, respectively, a fiber-optic transducer was fabricated by splicing an NCF segment with an LPFG inscribed on double-clad fiber. The transducer was functionalized with human ACE2 receptors to selectively capture SSP. The functionalized sensor head exhibited high SSP selectivity, with overall average wavelength displacements of ∼253.33 and ∼160.00 pm in PBS and saliva, respectively, for SSP with concentrations ranging from 1 to 104 ng/mL. These spectral shifts are associated with localized SMRI modulations on the sensor surface induced by specific binding between SSP and ACE2. We also examined the cross-reactivity of the sensor head for MERS-CoV spike protein to confirm its SSP specificity. Moreover, we proved the capability of temperature-independent SSP detection and ambient temperature measurement by scrutinizing the temperature effect on the sensor performance. Our functionalized fiber transducer showed great promise as a temperature-insensitive and portable platform for rapid SSP detection.

Covid-19 outbreak associated with demographic-meteorological factors in the arid and semi-arid region Iran: case study Gonabad city, 2020-2021

Since the (Covid-19) pandemic outbreak, questioning regarding climate and incident of Covid-19 infection rates has been debated, while there is no clear research evidence until now in Iran. This study has focused on investigating the association between Covid-19 cases and demographic -meteorological factors in arid and semi-arid zones of Iran (from March 1, 2020, to January 31, 2022) by analyzing with Via Poisson and negative binomial regression. As a result, the incidence rate of both Covid-19 hospitalization and mortality cases reached peaks in the summer followed by the autumn. Interestingly, Covid-19 hospitalization cases are associated with humidity, temperature, and wind factors seasonally and monthly, but mortality cases are just associated with wind. In conclusion, the result demonstrated that demographicand meteorological factorsare positively and negatively associated with Covid-19 cases. Therefore, identifying the environmental factors contributing to the excess Covid-19 can help to prevent future pandemic waves in Iranian arid and semi-arid zone.

COVID-19 and Alzheimer's Disease Share Common Neurological and Ophthalmological Manifestations: A Bidirectional Risk in the Post-Pandemic Future

A growing body of evidence indicates that a neuropathological cross-talk takes place between the coronavirus disease 2019 (COVID-19) -the pandemic severe pneumonia that has had a tremendous impact on the global economy and health since three years after its outbreak in December 2019- and Alzheimer's Disease (AD), the leading cause of dementia among human beings, reaching 139 million by the year 2050. Even though COVID-19 is a primary respiratory disease, its causative agent, the so-called Severe Acute Respiratory Syndrome coronavirus 2 (SARS-CoV-2), is also endowed with high neuro-invasive potential (Neurocovid). The neurological complications of COVID-19, resulting from the direct viral entry into the Central Nervous System (CNS) and/or indirect systemic inflammation and dysregulated activation of immune response, encompass memory decline and anosmia which are typically associated with AD symptomatology. In addition, patients diagnosed with AD are more vulnerable to SARS-CoV-2 infection and are inclined to more severe clinical outcomes. In the present review, we better elucidate the intimate connection between COVID-19 and AD by summarizing the involved risk factors/targets and the underlying biological mechanisms shared by these two disorders with a particular focus on the Angiotensin-Converting Enzyme 2 (ACE2) receptor, APOlipoprotein E (APOE), aging, neuroinflammation and cellular pathways associated with the Amyloid Precursor Protein (APP)/Amyloid beta (Aβ) and tau neuropathologies. Finally, the involvement of ophthalmological manifestations, including vitreo-retinal abnormalities and visual deficits, in both COVID-19 and AD are also discussed. Understanding the common physiopathological aspects linking COVID-19 and AD will pave the way to novel management and diagnostic/therapeutic approaches to cope with them in the post-pandemic future.

Examining the Impact of the COVID-19 Vaccine on Smokers and Diabetic Individuals: Unveiling the Efficacy and Unraveling Side Effects in Al Jouf Region, KSA

BACKGROUND

The assessment of the side effects of the COVID-19 vaccine is crucial to inform individuals about the potential risks and benefits of vaccination and to provide appropriate medical care if necessary. The study aimed to assess the effect of the COVID-19 vaccine on smokers and diabetic individuals and to investigate the occurrence of any side effects in the subpopulation of the Al Jouf region, KSA.

MATERIALS AND METHODS

The questionnaire had three main sections: the first covered basic information including gender, age, general health status, place, socio-economic position, nationality, smoking, and diabetes. Section 2 included the COVID-19 vaccination status and side effects, and the third section dealt with the dental history. Informed consent was obtained from the recruited individuals. Participants completed a Google self-administered questionnaire.

RESULTS

One hundred and twenty participants responded to the survey forms. Similarly, for diabetics versus non-diabetics, there was no statistically significant difference in the type of vaccine received (chi-square value = 3.125, p-value = 0.682). For smokers versus non-smokers, the chi-square test showed a non-significant difference in side effects (chi-square = 2.56, p-value = 0.109), indicating that there was no significant difference in the side effects experienced by smokers and non-smokers. For diabetics versus non-diabetics, the chi-square test showed a non-significant difference in side effects (chi-square = 0.34, p-value = 0.560), indicating that there was no significant difference in the side effects experienced by diabetics and non-diabetics.

CONCLUSION

Smokers and diabetics had higher harmful effects than non-smokers and non-diabetics. These findings need larger, robust trials to support treatment decision-making.