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Background: The majority of available data on molnupiravir come from an unvaccinated COVID-19 population. Therefore, we conducted this meta-analysis to integrate evidence from recent randomized controlled trials (RCTs) as well as observational studies stratified by vaccination status to determine the clinical efficacy and safety of molnupiravir in COVID-19 outpatients. Methods: We searched PubMed, Embase, the Cochrane Library, medRxiv, and ClinicalTrials.gov from inception to November 2023. We conducted our meta-analysis using RevMan 5.4 with risk ratio (RR) as the effect measure. Results: We included 8 RCTs and 5 observational studies in our meta-analysis. Molnupiravir reduced the risk of all-cause mortality (RR 0.28; 95% CI: 0.20–0.79, I2 = 0%) but did not decrease the hospitalization rate (RR 0.67; 95% CI: 0.45–1.00, I2 = 53%) in the overall population; in the immunized population, no benefits were observed. Molnupiravir lowered the rate of no recovery (RR 0.78; 95% CI: 0.76–0.81, I2 = 0%) and increased virological clearance at day 5 (RR 2.68; 95% CI: 1.94–4.22, I2 = 85%). There was no increase in the incidence of adverse events. Conclusions: Molnupiravir does not decrease mortality and hospitalization rates in immunized patients with COVID-19. However, it does shorten the disease course and increases the recovery rate. The use of molnupiravir will need to be considered on a case-by-case basis in the context of the prevailing social circumstances, the resource setting, drug costs, and the healthcare burden.

Objectives: COVID-19 affects the quality of life (QoL) in a reverse way after recovery, which might be multiplied by the comorbid non-communicable diseases. This study explored the relationship between comorbidities and the QoL of people who recovered from COVID-19 in Bangladesh. Methods: The cross-sectional study was conducted among 3244 participants between June 2020 and November 2020 using a pre-tested questionnaire through over-the-phone interviews. The WHOQOL-BREF was used to explore the QoL among the study participants. A multivariable linear regression model was conducted to identify the effects of the number of comorbidities on QoL scores of all four domains. Results: Of 3244 patients who recovered from COVID-19, over one-third (39.4%) had one or more chronic diseases, such as hypertension, diabetes mellitus, ischemic heart disease, bronchial asthma/chronic obstructive pulmonary disease, chronic kidney disease, and cancer. Around 46.85% of the participants aged above 40 years presented with one to two chronic diseases, and 16.33% had three or more chronic diseases. Among all comorbidities, the participants with cancer and chronic kidney disease were found to have relatively lower scores in all four domains than other comorbidities. The lowest QoL scores were observed in the psychological domain. Those with three or more simultaneous chronic comorbidities had the lowest QoL score in all four domains: physical, psychological, social relationship, and environmental. Conclusions: Persons who recovered from COVID-19 with comorbidities undergo a lower QoL. Therefore, special attention is required to these vulnerable groups to ensure their smooth recuperation.

The Virtual Special Issue (VSI) entitled "COVID-19 in Environment: Treatment, Infectivity, Monitoring, Estimation (TIME)" mainly brings together the different themes and perspectives related to wastewater epidemiology related to COVID-19. The issue further concentrates on the idea of the very much required scientific studies of the wastewater containing the SARS-CoV RNA; its contagious attributes if any; and the very important possibility of estimation and monitoring of patients based on the wastewater epidemiology. We have brought global perspectives related to the most suitable estimations methods based on SARS-COV-RNA data and development of an approach combining wastewater epidemiology and clinical diagnostic test could facilitate surveillance of public health system for informed decision making for better and effective treatment methods on one platform, thereby facilitating the expansion of the reach of these ideas and their audience. This VSI is going to act as an interface for microbiologists, environmental engineers, data scientists, civil engineers, remote-sensing experts, and modelers to integrate their findings on the aforementioned topics to etch out the probability of relative environmental risks and human health challenges. It has undergone an open call for papers and a rigorous peer-review process, where each submission has been evaluated by a panel of experts. In total, twenty-two articles could pass the test of external referees that represent the ongoing research and development activities in the topical research area of COVID-19 wastewater surveillance., QC 20240905

A variety of factors are associated with greater COVID-19 morbidity or mortality, due to how these factors influence exposure to (in the case of morbidity) or severity of (in the case of mortality) COVID-19 infections. We use multiscale geographically weighted regression to study spatial variation in the factors associated with COVID-19 morbidity and mortality rates at the local authority level across England (UK). We investigate the period between March 2020 and March 2021, prior to the rollout of the COVID-19 vaccination program. We consider a variety of factors including demographic (e.g. age, gender, and ethnicity), health (e.g. rates of smoking, obesity, and diabetes), social (e.g. Index of Multiple Deprivation), and economic (e.g. the Gini coefficient and economic complexity index) factors that have previously been found to impact COVID-19 morbidity and mortality. The Index of Multiple Deprivation has a significant impact on COVID-19 cases and deaths in all local authorities, although the effect is the strongest in the south of England. Higher proportions of ethnic minorities are associated with higher levels of COVID-19 mortality, with the strongest effect being found in the west of England. There is again a similar pattern in terms of cases, but strongest in the north of the country. Other factors including age and gender are also found to have significant effects on COVID-19 morbidity and mortality, with differential spatial effects across the country. The results provide insights into how national and local policymakers can take account of localized factors to address spatial health inequalities and address future infectious disease pandemics.

The UN-Habitat World Cities Report 2020 highlighted that overcrowded housing, not urban density, is the major contributing factor to the spread of COVID-19. The relatively successful ability of densely populated cities such as Seoul, Singapore, Tokyo and New York City to manage virus spread supports this. We hypothesise that, given the complexity of the interaction between people and place, the relative contribution of density and crowding to the spread of infectious diseases may be contingent on local factors. To directly compare the role of urban density and household overcrowding, we examine each in relation to COVID-19 incidence in the three largest cities in Australia, Sydney, Melbourne and Brisbane, as the pandemic unfolded from July 2021 to January 2022. Using ecological models adjusted for spatial autocorrelation and area-level measures of age and socio-economic factors, we assess the association between population density, overcrowding in homes, and COVID-19 infections in local neighbourhoods. Challenging prevailing assumptions, we find evidence for an effect of both density and overcrowding on COVID-19 infections depending on the city and area within cities; that is, depending on the local context. For example, in the southwestern suburbs of Sydney, the case rate decreases by between 0.4 and 6.4 with every one-unit increase in gross density however the case rate increases by between 0.01 and 9.6 with every one-unit increase in total overcrowding. These findings have important implications for developing pandemic response strategies: public health measures that target either density (e.g., lockdowns and restricted range of travel) or overcrowding (e.g., restricting number of people relative to dwelling, mask-wearing indoors, vaccination prioritisation) must be cognisant of the geographically local contexts in which they are implemented.

Dexamethasone is a life-saving treatment for severe COVID-19, yet its mechanism of action is unknown, and many patients deteriorate or die despite timely treatment initiation. Here, we identify dexamethasone treatment-induced cellular and molecular changes associated with improved survival in COVID-19 patients. We observed a reversal of transcriptional hallmark signatures in monocytes associated with severe COVID-19 and the induction of a monocyte substate characterized by the expression of glucocorticoid-response genes. These molecular responses to dexamethasone were detected in circulating and pulmonary monocytes, and they were directly linked to survival. Monocyte single-cell RNA sequencing (scRNA-seq)-derived signatures were enriched in whole blood transcriptomes of patients with fatal outcome in two independent cohorts, highlighting the potential for identifying non-responders refractory to dexamethasone. Our findings link the effects of dexamethasone to specific immunomodulation and reversal of monocyte dysregulation, and they highlight the potential of single-cell omics for monitoring in vivo target engagement of immunomodulatory drugs and for patient stratification for precision medicine approaches.

BACKGROUND: The Australian population aged 70 and above is increasing and imposing new challenges for policy makers and providers to deliver accessible, appropriate and affordable health care. We examine pre-COVID patterns of health loss between 1990 and 2019 to inform policies and practices. METHODS: Using the standardised methodology framework and analytical strategies from GBD 2019 methodologies, we estimated mortality, causes of death, years of life lost (YLLs), years lived with disability (YLDs), disability-adjusted life years (DALYs), life expectancy at age 70 and above (LE-70), and healthy life expectancy (HALE-70) in Australia comparing them globally and with high socio-demographic index (SDI) groups. FINDINGS: DALY rates have been improving steadily over the past 30 years among Australians aged 70 and above. Decreases in DALY rates were primarily attributed to a fall in YLLs attributable to cardiovascular diseases (60%) and chronic respiratory disorders (30.2%) and transport injuries (56.9%), while the non-fatal burden remained stable from 1990 to 2019. According to the DALY rates, the top five leading causes are ischemic heart disease, Alzheimer's disease, COPD, stroke, and falls, where falls exhibited the largest increase since 1990. INTERPRETATION: This study provides an in-depth report on the main causes of mortality and disability in Australia's population aged 70 and above. It sheds light on the shifts in burden over three decades, emphasising the need for the Australian health system to enhance its readiness in addressing the escalating demands of an ageing population. These findings establish pre-COVID baseline estimates for Australia's population aged 70 and above, informing healthcare preparedness. FUNDING: Bill & Melinda Gates Foundation.

There is an increasing body of knowledge regarding how COVID-19 may be associated with ocular disease of varying severity and duration. This article discusses the literature on the ocular manifestations associated with COVID-19, including appraisal of the current evidence, suggested mechanisms of action, associated comorbidities and risk factors, timing from initial infection to diagnosis and clinical red flags. The current literature primarily comprises case reports and case series which inevitably lack control groups and evidence to support causality. However, these early data have prompted the development of larger population-based and laboratory studies that are emerging. As new data become available, a better appraisal of the true effects of COVID-19 on the eye will be possible. While the COVID-19 pandemic was officially declared no longer a "global health emergency" by the World Health Organization (WHO) in May 2023, case numbers continue to rise. Reinfection with different variants is predicted to lead to a growing cumulative burden of disease, particularly as more chronic, multi-organ sequelae become apparent with potentially significant ocular implications. COVID-19 ocular manifestations are postulated to be due to three main mechanisms: firstly, there is a dysregulated immune response to the initial infection linked to inflammatory eye disease; secondly, patients with COVID-19 have a greater tendency towards a hypercoagulable state, leading to prothrombotic events; thirdly, patients with severe COVID-19 requiring hospitalisation and are immunosuppressed due to administered corticosteroids or comorbidities such as diabetes mellitus are at an increased risk of secondary infections, including endophthalmitis and rhino-orbital-mucormycosis. Reported ophthalmic associations with COVID-19, therefore, include a range of conditions such as conjunctivitis, scleritis, uveitis, endogenous endophthalmitis, corneal graft rejection, retinal artery and vein occlusion, no

Spending time in urban nature benefits young adults’ mental health, particularly those experiencing chronic stress, depression, or anxiety. COVID-19 can be seen as a population-wide stressor, which resulted in greater loneliness, anxiety, and depression among younger adults than among those older. This study explored how young adults (18–25) residing in the state of Victoria, Australia engaged with both public and private urban nature during and following stringent COVID-19 lockdown restrictions, in particular their visit locations, frequency, and participation in solitary, restorative activities. Quantitative and qualitative data were collected in July and August 2021 via an online survey with 147 participants. During stringent COVID-19 restrictions, the type of nature that young adults visited most frequently (at least twice a week or more) was their own garden at home, with 23 % visiting this site every day and 15 % visiting at least twice a week. In terms of motivations for visiting nature while under strict restrictions, the most common ones were to ‘relax and unwind,’ followed by to ‘get away from home’. These motivations remained common following the relaxation of restrictions. More than half of participants engaged in solitary, restorative activities in nature during lockdown. Our study indicates that multiple forms of nature helped ease the strains of living under strict restrictions during the COVID-19 pandemic for young adults in Victoria, particularly by providing a place to be alone. Government departments that manage urban greenspaces should consult young people to ensure their needs are understood when creating new or revitalising existing urban greenspaces.

Introduction In French Guiana, the COVID-19 pandemic was marked by very high levels of transmission in the population, low rates of hospitalizations and deaths and high vaccine hesitancy. The use of traditional herbal remedies is very common in the population and understanding its influence as part of the population’s healing strategy is important. We investigated the use of traditional remedies for the prevention or treatment of COVID-19 in French Guiana and its influence on vaccine hesitancy. Methods An online survey was conducted between April and May 2021 among 1,295 participants aged 18 years or older. Demographic characteristics, attitudes and perceptions of the population about the pandemic, vaccination intentions and use of traditional remedies were collected through a standardized questionnaire. The cited plants were collected and deposited at the Cayenne herbarium for identification. Results For combating COVID-19, 31.7% of people used traditional remedies while 71.4% reported usually treating themselves with remedies unrelated to COVID-19. A total of 604 use reports were recorded as "anti-coronavirus". Quassia amara (Simaroubaceae) was the most frequently used species (153/604), representing 25.3% of the citations. Preventive use was more prevalent than curative use. Vaccine hesitancy was more common among people using traditional remedies. Discussion/Conclusions Several species commonly used in French Guiana such as Quassia amara, Neurolaena lobata, Alpinia zerumbet, and Tinospora crispa were found to be used in the context of COVID-19. Further studies would be useful to investigate qualitative and quantitative components of interest, mechanisms and effects.

The current coronavirus pandemic has produced severe consequences on economic and health systems all over the world, with the governments being challenged in searching for containment solutions balancing virus diffusion and limitations to social and work activities. In this paper, we propose a framework for the real-time optimization of restrictions in epidemics, based on the use of a time-varying SIRD model. Despite their simplicity, this class of models is able to capture the essential features of the epidemic spread, with the inherent parameter variation allowing accurate adaptation to real data. An optimization problem is formulated, properly balancing health and economic costs, and is solved parametrically by following a receding-horizon approach, resulting in an optimal sequence of social contact restrictions, which are assumed to be actuated via governmental containment measures. Numerical simulations based on the real data of the Italian COVID-19 emergency highlight the potential of the proposed approach and can be possibly helpful for the decision makers in present and future pandemics.

Background: It was apparent from the early phase of the SARS-CoV-2 virus (COVID-19) pandemic that a multi-system syndrome can develop in the weeks following a COVID-19 infection, now referred to as Long COVID. Given that people living with diabetes are at increased risk of hospital admission/poor outcomes following COVID-19 infection we hypothesised that they may also be more susceptible to developing Long COVID. We describe here the prevalence of Long COVID in people living with diabetes when compared to matched controls in a Northwest UK population. Methods: This was a retrospective cohort study of people who had a recorded diagnosis of type 1 diabetes (T1D) or type 2 diabetes (T2D) who were alive on 1st January 2020 and who had a proven COVID-19 infection. We used electronic health record data from the Greater Manchester Care Record collected from 1st January 2020 to 16th September 2023, we determined the prevalence of Long COVID in people with T1D and T2D vs matched individuals without diabetes (non-DM). Findings: There were 3087 T1D individuals with 14,077 non-diabetes controls and 3087 T2D individuals with 14,077 non-diabetes controls and 29,700 T2D individuals vs 119,951 controls. For T1D, there was a lower proportion of Long COVID diagnosis and/or referral to a Long COVID service at 0.33% vs 0.48% for matched controls. The prevalence of Long COVID In T2D individuals was 0.53% vs 1:3 matched controls 0.54%. For T2D, there were differences by sex in the prevalence of Long COVID in comparison with 1:3 matched controls. For Long COVID between males with T2D and their matched controls, the prevalence was lower in matched controls at 0.46%.vs 0.54% (0.008). When considering the prevalence of LC between females with T2D and their matched controls, the prevalence was higher in matched controls at 0.61% vs 0.53% (0.007). The prevalence of Long COVID in males with T2D vs females was not different. T2D patients at older vs younger age were at reduced risk of developing

BACKGROUND: The world is currently grappling with the potentially life-threatening coronavirus disease 2019 (COVID-19), marking it as the most severe health crisis in the modern era. COVID-19 has led to a pandemic, with the World Health Organization (WHO) predicting that individuals with diabetes are at a higher risk of contracting the virus compared to the general population. This review aims to provide a practical summary of the long-term impacts of COVID-19 on patients with diabetes. Specifically, it focuses on the effects of SARS-CoV-2 on different types of diabetic patients, the associated mortality rate, the underlying mechanisms, related complications, and the role of vitamin D and zinc in therapeutic and preventive approaches. METHODS: Relevant literature was identified through searches on PubMed, Web of Science, and Science Direct in English, up to April 2023. RESULTS: COVID-19 can lead to distressing symptoms and pose a significant challenge for individuals living with diabetes. Older individuals and those with pre-existing conditions such as diabetes, coronary illness, and asthma are more susceptible to COVID-19 infection. Managing COVID-19 in individuals with diabetes presents challenges, as it not only complicates the fight against the infection but also potentially prolongs the recovery time. Moreover, the virus may thrive in individuals with high blood glucose levels. Various therapeutic approaches, including antidiabetic drugs, are available to help prevent COVID-19 in diabetic patients. CONCLUSIONS: Diabetes increases the morbidity and mortality risk for patients with COVID-19. Efforts are globally underway to explore therapeutic interventions aimed at reducing the impact of diabetes on COVID-19.

OBJECTIVES: The recent worldwide spread of New Delhi metallo-beta-lactamase-producing Klebsiella pneumoniae (NDM-KP) in health-care settings remains a concern. The aim of the study was to describe an outbreak of extensively drug-resistant ST147 NDM-1-KP in the Apulia region of Southern Italy that occurred between 2020 and 2022 through genomic surveillance of carbapenem-resistant Enterobacterales. METHODS: A total of 459 carbapenem-resistant KP isolates collected from patients hospitalised with bloodstream infections were tested using a commercial multiplex real-time polymerase chain reaction to identify carbapenemase genes. A subset of 27 isolates was subjected to whole-genome sequencing. Core-genome multilocus sequence typing was performed by analysing a panel of 4884 genes. RESULTS: Molecular testing revealed that 104 (22.6%) isolates carried the carbapenemase NDM gene. Phylogenetic analysis of the 27 isolates subjected to whole-genome sequencing revealed high genetic relatedness among strains. All isolates were resistant to all first-line antibiotics. Virulome analysis identified the ybt locus, the two well-recognised virulence factors iucABCDiutA and rmpA, and the genes encoding the type 3 pilus virulence factor. Plasmids IncFIB(pkPHS1), IncFIB(pNDM-Mar), IncFIB(pQil), IncHI1B(pNDM-MAR), IncR, and Col(pHAD28) were identified in all isolates. Moreover, further analysis identified the IncFIB-type plasmid carrying the NDM-1 genes. CONCLUSION: The increasing circulation of extensively drug-resistant NDM-1 ST147 KP strains in Southern Italy in recent years is worrisome, because these clones pose a real risk, particularly in hospital settings. Genomic surveillance is a crucial tool for early identification of emerging threats such as the spread of high-risk pathogens. Rapid infection control measures and antimicrobial stewardship are key to preventing further spread of hypervirulent KP strains.

This study aimed to investigate factors associated with exposure to violence over the past 12 months among women seeking abortion. Materials and methods: We conducted a cross-sectional study, nested within a multi-center questionnaire survey, involving 623 abortion-seeking women in Sweden from January to June 2021. Descriptive statistics, bivariate analyses, and multivariate regression analysis (using odds ratios [OR] and 95% confidence intervals [CI]) were employed. Results: Out of the 623 women, 9.9% (n = 59) reported exposure to physical, psychological, and/or sexual violence in the past 12 months. Several factors were correlated with being a victim of violence. However, after adjustment in the regression model, the significant factors included: age 16–26 (OR 2.37, 95% CI; 1.24–4.52, p <.009), poor physical and mental well-being prior to pregnancy (OR 3.29; CI 1.69–6.40, p <.001), having had ≥ 2 previous abortions (OR 2.27, 95% CI; 1.16–4.44, p =.017), and being single (OR 4.70, 95% CI; 2.51–8.77, p <.001). Conclusion: Nearly one in ten women seeking abortion reported exposure to violence in the preceding year. Being young, having poor physical and mental health, undergoing multiple abortions, and singlehood emerge as risk factors for violence exposure. Abortion providers have a crucial role and should consistently identify women exposed to violence, offering them the necessary guidance and referrals for further support.

Background: SARS-COV-2 infection has been associated to long-lasting neuropsychiatric sequelae, including cognitive deficits, that persist after one year. However, longitudinal monitoring has been scarcely performed. Here, in a sample of COVID-19 patients, we monitor cognitive, psychological and quality of life-related profiles up to 22 months from resolution of respiratory disease. Methods: Out of 657 COVID-19 patients screened at Manzoni Hospital (Lecco, Italy), 22 underwent neuropsychological testing because of subjective cognitive disturbances at 6 months, 16 months, and 22 months. Tests of memory, attention, and executive functions were administered, along with questionnaires for depressive and Post-traumatic stress disorder (PTSD) symptoms, psychological well-being and quality of life. Cross-sectional descriptives, correlational, as well as longitudinal analyses considering COVID19-severity were carried out. A preliminary comparison with a sample of obstructive sleep apneas patients was also performed. Results: Around 50% of COVID-19 patients presented with cognitive deficits at t0. The most affected domain was verbal memory. Pathological scores diminished over time, but a high rate of borderline scores was still observable. Longitudinal analyses highlighted improvements in verbal and non-verbal long term memory, as well as attention, and executive functioning. Depression and PTSD-related symptoms were present in 30% of patients. The latter decreased over time and were associated to attentional-executive performance. Conclusions: Cognitive dysfunctions in COVID-19 patients may extend over 1 year, yet showing a significant recovery in several cases. Cognitive alterations are accompanied by a significant psychological distress. Many patients displaying borderline scores, especially those at higher risk of dementia, deserve clinical monitoring.

This paper introduces a methodology to explore pedestrian accessibility in informal settlements. This methodology is applied to pandemic intervention sites in Nairobi's Kibera area for 3.5 months (14 April to 31 July 2020) during the COVID-19 pandemic. Freely available transportation network data and open-source GIS software are utilised. Isochrones, areas of equal travel time, are calculated to assess pedestrian accessibility (walk times) from 30,231 Kibera structures to 138 COVID-19 stationary intervention sites. These sites aid in virus control, resource distribution, and COVID-related medical support. Travel times are determined considering different terrain slopes. Unequal access to intervention sites is observed due to indirect routes. Shortest walks (up to 21.5 min) are to handwashing and food distribution points, while longer walks (up to 61.5 min) are to interventions with fewer sites or localised clustering, such as baby product distribution. This simple accessibility analysis helps identify service gaps during crises, aiding planning authorities and communities. Our methodology offers insight into travel patterns in slums and has wider applicability to assess the relationships between transport infrastructure provision and resilience in informal settlements., QC 20231215

Lateral flow immunoassays (LFIAs) serve as rapid and convenient tools for disease screening. However, there is room for enhancing diagnostic sensitivity. Therefore, this paper introduces a novel material combined with lateral flow immunoassays to improve the sensitivity of COVID-19 detection and diagnosis. Trimethylsilyl cellulose (TMSC) was printed on the device between the test and control line to delay the flow of the solution, which resulted in a more excellent binding of the immunoassay. These delay-LFIAs (d-LFIAs) were developed for the diagnosis of COVID-19, targeting the detection of immunoglobulins G and M, as well as the COVID-19 antigen. Under optimized conditions, the d-LFIA increased the sensitivity by up to 5 times compared to that of conventional LFIAs. Moreover, it exhibited the ability to detect IgG, IgM, and SARS-CoV-2 antigens as low as 1 ng/mL (limit of detection) by the naked eye. In addition, the application of this device to real samples yielded highly consistent results with those obtained from other LFIAs and standard SARS-CoV-2 diagnostic methods (such as enzyme-linked immunosorbent assay and reverse transcription polymerase chain reaction) diagnosis. Therefore, we expect this device to be a new platform for highly sensitive, easy, and affordable immunoassay strip testing to certify future emerging diseases., QC 20231128

The detection of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) RNA in wastewater can be used as an indicator of the presence of SARS-CoV-2 infection in specific catchment areas. We conducted a hospital-based study to explore wastewater management in healthcare facilities and analyzed SARS-CoV-2 RNA in the hospital wastewater in Dhaka city during the Coronavirus disease (COVID-19) outbreak between September 2020-January 2021. We selected three COVID-hospitals, two non-COVID-hospitals, and one non-COVID-hospital with COVID wards, conducted spot-checks of the sanitation systems (i.e., toilets, drainage, and septic-tank), and collected 90 untreated wastewater effluent samples (68 from COVID and 22 from non-COVID hospitals). E. coli was detected using a membrane filtration technique and reported as colony forming unit (CFU). SARS-CoV-2 RNA was detected using the iTaq Universal Probes One-Step kit for RT-qPCR amplification of the SARS-CoV-2 ORF1ab and N gene targets and quantified for SARS-CoV-2 genome equivalent copies (GEC) per mL of sample. None of the six hospitals had a primary wastewater treatment facility; two COVID hospitals had functional septic tanks, and the rest of the hospitals had either broken onsite systems or no containment of wastewater. Overall, 100 % of wastewater samples were positive with a high concentration of E.coli (mean = 7.0 log10 CFU/100 mL). Overall, 67 % (60/90) samples were positive for SARS-CoV-2. The highest SARS-CoV-2 concentrations (median: 141 GEC/mL; range: 13-18,214) were detected in wastewater from COVID-hospitals, and in non-COVID-hospitals, the median SARS-CoV-2 concentration was 108 GEC/mL (range: 30-1829). Our results indicate that high concentrations of E. coli and SARS-CoV-2 were discharged through the hospital wastewa-ter (both COVID and non-COVID) without treatment into the ambient water bodies. Although there is no evidence for transmission of SARS-CoV-2 via wastewater, this study highlights the significant r, QC 20230301

Wastewater based epidemiology (WBE) is an important tool to fight against COVID-19 as it provides insights into the health status of the targeted population from a small single house to a large municipality in a cost-effective, rapid, and non-invasive way. The implementation of wastewater based surveillance (WBS) could reduce the burden on the public health system, management of pandemics, help to make informed decisions, and protect public health. In this study, a house with COVID-19 patients was targeted for monitoring the prevalence of SARS-CoV-2 genetic markers in wastewa-ter samples (WS) with clinical specimens (CS) for a period of 30 days. RT-qPCR technique was employed to target non-structural (ORF1ab) and structural-nucleocapsid (N) protein genes of SARS-CoV-2, according to a validated experimental protocol. Physiological, environmental, and biological parameters were also measured following the American Public Health Association (APHA) standard protocols. SARS-CoV-2 viral shedding in wastewater peaked when the highest number of COVID-19 cases were clinically diagnosed. Throughout the study period, 7450 to 23,000 gene copies/1000 mL were detected, where we identified 47 % (57/120) positive samples from WS and 35 % (128/360) from CS. When the COVID-19 patient number was the lowest (2), the highest CT value (39.4; i.e., lowest copy number) was identified from WS. On the other hand, when the COVID-19 patients were the highest (6), the lowest CT value (25.2 i.e., highest copy numbers) was obtained from WS. An advance signal of increased SARS-CoV-2 viral load from the COVID-19 patient was found in WS earlier than in the CS. Using customized primer sets in a traditional PCR approach, we confirmed that all SARS-CoV-2 variants identified in both CS and WS were Delta variants (B.1.617.2). To our knowledge, this is the first follow-up study to determine a temporal relationship be-tween COVID-19 patients and their discharge of SARS-CoV-2 RNA genetic markers in wastewat, QC 20230123

The newly discovered coronavirus SARS-CoV-2 has sparked a worldwide pandemic of COVID-19, which has caused havoc on medical infrastructures, economies, and cultures around the world. Determining the whole scenario is essential since SARS-CoV-2 variants and sub-variants keep appearing after vaccinations and booster doses. The objective of this secondary meta-analysis is to analysis co-infection, secondary infections, and antimicrobial resistance (AMR) in COVID-19 patients. This study used five significant databases to conduct a systematic review and an overlap meta-analysis to evaluate the pooled estimates of co-infections and secondary infections. The summary of the meta-analysis showed an overall co-infection effect of 26.19% (95% confidence intervals CI: 21.39–31.01, I2 =98.78, n = 14 meta-analysis) among patients with COVID-19. A coinfection effect of 11.13% (95% CI: 9.7–12.56, I2 =99.14, n = 11 meta-analysis) for bacteria; 9.69% (95% CI: 1.21–7.90, I2 =98.33) for fungal and 3.48% (95% CI: 2.15–4.81, I2 =95.84) for viruses. A secondary infection effect of 19.03% (95% CI: 9.53–28.54, I2 =85.65) was pooled from 2 meta-analyses (Ave: 82 primary studies). This is the first study that compiles the results of all the previous three years meta-analyses into a single source and offers strong proof of co-infections and secondary infections in COVID-19 patients. Early detection of co-infection and AMR is crucial for COVID-19 patients in order to effective treatment., QC 20230831

The ongoing global pandemic caused by the SARS-CoV-2 virus, known as COVID-19, has disrupted public health, businesses, and economies worldwide due to its widespread transmission. While previous research has suggested a possible link between environmental factors and increased COVID-19 cases, the evidence regarding this connection remains inconclusive. The purpose of this research is to determine whether or not there is a connection between the presence of fine particulate matter (PM2.5) and meteorological conditions and COVID-19 infection rates in Bangkok, Thailand. The study employs a statistical method called the Generalized Additive Model (GAM) to find a positive and non-linear association between relative humidity (RH), absolute humidity (AH), and rainfall (R) and the number of verified COVID-19 cases. The impacts of the seasons (especially summer) and rainfall on the trajectory of COVID-19 cases were also highlighted, with an adjusted R-square of 0.852 and a deviance explained of 85.60%, both of which were statistically significant (p < 0.05). The study results assist in preventing the future seasonal spread of COVID-19, and public health authorities may use these findings to make informed decisions and assess their policies., QC 20230823

The promotion of active transportation modes in urban areas is a key challenge towards the minimization of motor traffic externalities. After the COVID-19 outbreak, cities around the world started investing heavily in infrastructure for pedestrians and cyclists towards the enhancement of social distancing. However, infrastructure adequacy in the post COVID-19 era needs to be evaluated. Level of Service (LOS) as it is proposed by the Highway Capacity Manual (HCM) is the most common methodological tool to assess pedestrian facilities. Nonetheless, pedestrians' perceptions are more than needed especially in the post COVID-19 era. In this paper an online survey is conducted for the assessment of the main pedestrian facilities in the city of Thessaloniki, Greece. Respondents' sociodemographic characteristics, their social distancing perception as well as their travel habits after the COVID-19 outbreak are concerned. The main research goal is to reveal the most significant factors that affect pedestrians' perceived level of service (PLOS) using regression modeling. The results can shed light on respondents' perceptions about PLOS in the post COVID-19 era. Last, results can assist in policy making for the promotion of active transport modes in urban areas with respect to the current health recommendations for public spaces., Part of ISBN 9781713870913QC 20230801

Gender equality is a fundamental human right and is part of one of the goals of the 2030 Agenda (Goal 5), which promotes a more equitable and sustainable way of life. A gender imbalance still exists in the transport sector. Over the years, the reasons why women travel have changed, as have their modal preferences, thanks to the introduction of concessions (pink parking, pregnant seats) but also thanks to the introduction of new forms of mobility and multimodality. However, several works in the literature point out that women's journeys are in many cases more difficult than those of men because there are several factors that influence this imbalance. The recent COVID-19 pandemic has contributed to a widening this gap. Through the administration of an online questionnaire, it was possible to find data regarding socio-demographic characteristics, travel habits and finally to analyze the main problems and feelings (feeling of safety on board, perception of a possible contagion and overall evaluation of gender equity both as passengers and as drivers of vehicles) related to the different modes of transport present in the Sicilian context. A statistical comparison of the results was defined considering the different pandemic phases from January 2020 to December 2021. The results show the basis for a better mobility planning starting from the resolution of the COVID-19 crisis that represents an opportunity to change the status quo., Part of ISBN 9781713870913QC 20230801

Objectives: To elucidate antibody responses after the second and third dose of COVID-19 vaccine in patients with inflammatory rheumatic diseases (IRD) treated with biologic/targeted disease modifying anti-rheumatic drugs (b/ts DMARDs).Methods: Antibody levels to antigens representing spike full length protein and spike S1 were measured before vaccination, 2-12 weeks after the second dose, before and after the third dose using multiplex bead-based serology assay. Positive antibody response was defined as antibody levels over cut off (seropositivity) in seronegative individuals or >= 4-fold increase in antibodies in individuals seropositive for both spike proteins.Results: Patients (n = 414) receiving b/ts DMARDs (283 had arthritis, 75 systemic vasculitis and 56 other autoimmune diseases) and controls (n = 61) from five Swedish regions participated. Treatments groups were: rituximab (n = 145); abatacept (n = 22); Interleukin 6 receptor inhibitors [IL6i (n = 79)]; JAnus Kinase Inhibitors [JAKi (n = 58)], Tumour Necrosis Factor inhibitor [TNFi (n = 68)] and Interleukin12/23/17 inhibitors [IL12/23/17i (n = 42)]. Percentage of patients with positive antibody response after two doses was significantly lower in rituximab (33,8%) and abatacept (40,9%) (p < 0,001) but not in IL12/23/17i, TNFi or JAKi groups compared to controls (80,3%). Higher age, ritux-imab treatment and shorter time between last rituximab course and vaccination predicted impaired anti-body response. Antibody levels collected 21-40 weeks after second dose decreased significantly (IL6i: p = 0,02; other groups: p < 0,001) compared to levels at 2-12 week but most participants remained seropositive. Proportion of patients with positive antibody response increased after third dose but was still significantly lower in rituximab (p < 0,001).Conclusions: Older individuals and patients on maintenance rituximab have an impaired response after two doses of COVID-19 vaccine which improves if the time betwee, QC 20230626

Antigen test kits (ATK) are extensively utilized for screening and diagnosing COVID-19 because they are easy to operate. However, ATKs exhibit poor sensitivity and cannot detect low concentrations of SARS-CoV-2. Herein, we present a new, highly sensitive, and selective device obtained by combining the principle of ATKs with elec-trochemical detection for COVID-19 diagnosis, which can be quantitatively assessed using a smartphone. An electrochemical test strip (E-test strip) was constructed by attaching a screen-printed electrode inside a lateral -flow device to exploit the remarkable binding affinity of SARS-CoV-2 antigen to ACE2. The ferrocene carboxylic acid attached to SARS-CoV-2 antibody acts as an electroactive species when it binds to SARS-CoV-2 antigen in the sample before it flows continuously to the ACE2-immobilization region on the electrode. Electrochemical-assay signal intensity on smartphones increased proportionally to the concentration of SARS-CoV-2 antigen (LOD = 2.98 pg/mL, under 12 min). Additionally, the application of the single-step E-test strip for COVID-19 screening was demonstrated using nasopharyngeal samples, and the results were consistent with those obtained using the gold standard (RT-PCR). Therefore, the sensor demonstrated excellent performance in assessing and screening COVID-19, and it can be used professionally to accurately verify diagnostic data while remaining rapid, simple, and inexpensive., QC 20230523

The ongoing COVID-19 contagious disease caused by SARS-CoV-2 has disrupted global public health, businesses, and economies due to widespread infection, with 676.41 million confirmed cases and 6.77 million deaths in 231 countries as of February 07, 2023. To control the rapid spread of SARS-CoV-2, it is crucial to determine the potential determinants such as meteorological factors and their roles. This study examines how COVID-19 cases and deaths changed over time while assessing meteorological characteristics that could impact these disparities from the onset of the pandemic. We used data spanning two years across all eight administrative divisions, this is the first of its kind--showing a connection between meteorological conditions, vaccination, and COVID-19 in-cidences in Bangladesh. We further employed several techniques including Simple Exponential Smoothing (SES), Auto-Regressive Integrated Moving Average (ARIMA), Auto-Regressive Integrated Moving Average with explanatory variables (ARIMAX), and Automatic forecasting time-series model (Prophet). We further analyzed the effects of COVID-19 vaccination on daily cases and deaths. Data on COVID-19 cases collected include eight administrative divisions of Bangladesh spanning March 8, 2020, to January 31, 2023, from available online servers. The meteorological data include rainfall (mm), relative humidity (%), average temperature (degrees C), surface pressure (kPa), dew point (degrees C), and maximum wind speed (m/s). The observed wind speed and surface pressure show a significant negative impact on COVID-19 cases (-0.89, 95% confidence interval (CI): 1.62 to-0.21) and (-1.31, 95%CI: 2.32 to-0.29), respectively. Similarly, the observed wind speed and surface pressure show a significant negative impact on COVID-19 deaths (-0.87, 95% CI: 1.54 to-0.21) and (-3.11, 95%CI: 4.44 to-1.25), respectively. The impact of meteorological factors is almost similar when vaccination information is included in the model. However, the, QC 20230425