Coronavirus Disease 2019 Cases Research Articles

Effectiveness of COVID-19 XBB.1.5 monovalent mRNA vaccine in Korea: interim analysis

As coronavirus disease-2019 (COVID-19) becomes an endemic disease, the virus continues to evolve and become immunologically distinct from previous strains. Immune imprinting has raised concerns about bivalent mRNA vaccines containing both ancestral virus and Omicron variant. To increase efficacy against the predominant strains as of the second half of 2023, the updated vaccine formulation contained only the mRNA of XBB.1.5 sublineage. We conducted a multicenter, test-negative, case-control study to estimate XBB.1.5 monovalent vaccine effectiveness (VE) and present the results of an interim analysis with data collected in November 2023. Patients who underwent COVID-19 testing at eight university hospitals were included and matched based on age (19-49, 50-64, and ≥65 years) and sex in a 1:1 ratio. VE was calculated using the adjusted odds ratio derived from multivariable logistic regression. Of the 992 patients included, 49 (5.3%) received the XBB.1.5 monovalent vaccine at least 7 days before COVID-19 testing. Patients with COVID-19 (cases) were less likely to have received the XBB.1.5 monovalent vaccine (case 3.5% vs. control 7.2%, p=0.019) and to have a history of COVID-19 within 6 months (2.2% vs. 4.6%, p=0.068). In contrast, patients with COVID-19 were more likely to be healthcare workers (8.2% vs. 3.0%, p=0.001) and to have chronic neurological diseases (16.7% vs. 11.9%, p=0.048). The adjusted VE of the XBB.1.5 monovalent mRNA vaccine was 56.8% (95% confidence interval: 18.7-77.9%). XBB.1.5 monovalent mRNA vaccine provided significant protection against COVID-19 in the first one to two months after vaccination.

[COVID-19 in patients with Good syndrome: report of 4 cases and literature review].

Objective: To summarize the clinical characteristics of coronavirus disease 2019 (COVID-19) in patients with Good's syndrome. Methods: We included all cases of COVID-19 in patients with Good's syndrome in the Second Xiangya Hospital of Central South University from January 1, 2023 to August 31, 2023. In addition to our cases, we searched the published literature in Wanfang database and PubMed database using the keywords "Good's syndrome" and "COVID-19". The clinical characteristics, treatment and outcome of the patients were summarized and analyzed. Results: A total of four patients with Good's syndrome complicated by COVID-19 were identified in our hospital, all of them were male, and the days of hospitalization were 17, 23, 7, and 13 days, respectively. Databases were searched for a total of six patients with Good's syndrome complicated by COVID-19, including three females and three males, all foreign patients, with hospitalization days of 12, 22, 13, 25, 21, and 34 days respectively. All ten patients met the diagnostic criteria for severe or critical COVID-19, and three(all middle-aged males) of them died, two from sepsis and one from respiratory failure. They were. Conclusion: COVID-19 in patients with Good's syndrome are prone to develop severe or critical disease and are more likely to be infected with multiple pathogens. Timely immunoglobulin supplementation is the key to treatment.

The rise of pathogen genomics in Africa

The routine genomic surveillance of pathogens in diverse geographical settings and equitable data sharing are critical to inform effective infection control and therapeutic development. The coronavirus disease 2019 (COVID-19) pandemic highlighted the importance of routine genomic surveillance of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) to detect emerging variants of concern. However, the majority of high-income countries sequenced >0.5% of their COVID-19 cases, unlike low- and middle-income countries. By the end of 2022, many countries around the world had managed to establish capacity for pathogen genomic surveillance. Notably, Beta and Omicron; 2 of the 5 current SARS-CoV-2 variants of concern were first discovered in Africa through an aggressive sequencing campaign led by African scientists. To sustain such infrastructure and expertise beyond this pandemic, other endemic pathogens should leverage this investment. Therefore, countries are establishing multi-pathogen genomic surveillance strategies. Here we provide a catalog of the current landscape of sequenced and publicly shared pathogens in different countries in Africa. Drawing upon our collective knowledge and expertise, we review the ever-evolving challenges and propose innovative recommendations.

Genetic Polymorphism of Interleukin-6 in Asymptomatic and ICU-Admitted COVID-19 Patients in Sulaymaniyah Province, Kurdistan Region of Iraq.

Background: The global pandemic of Coronavirus Disease 2019 (COVID-19) has resulted in significant fatality rates. Clinical outcomes for affected individuals range from being asymptomatic to severe illnesses requiring intensive care unit (ICU) admission. Among the various factors contributing to the variation in clinical outcomes, host genetics play a prominent role. Interleukin-6 (IL6), a key player in immune responses, has been identified as having a crucial impact on viral infections, including the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Specifically, certain variations known as single nucleotide polymorphisms (SNPs) in the IL6 promoter region have been found to significantly influence IL6 expression and the severity of viral infections. Materials and Methods: To explore the relationship between these genetic variations and COVID-19 in asymptomatic and ICU-admitted Kurdish patients, genetic sequencing was performed to determine the genotypes of nine IL6 SNPs. Results: The study findings revealed that although the proportion of the GG genotype of rs1800795 was slightly higher in asymptomatic COVID-19 cases, the difference was not statistically significant (chi2 = 2.666, p = 0.236). Notably, Kurdish patients displayed a uniform genetic makeup (monomorphic) for the dominant alleles of rs2069830 (C), rs142759801 (C), rs2069857 (C), rs2069829 (G), rs2234683 (G), rs13447446 (T), rs527770772 (C), and rs13447445 (C). Furthermore, patients carrying the haplotype GCGGCTCCC were found to have a 0.481-fold higher likelihood of being asymptomatic with COVID-19 (p = 0.016, OR = 0.481). Conclusions: This study demonstrates that the rs1800795 SNP is not statistically associated with COVID-19 at the genotype level. However, the presence of the dominant G allele of rs1800795 in the haplotype was found to be statistically associated with asymptomatic COVID-19 patients.

Case Report: Branch retinal vein occlusion following COVID-19 vaccination and SARS-CoV-2 infection while taking oral contraceptives

Oral contraceptive use, vaccination for Coronavirus disease 2019 (COVID-19), and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection are risk factors for venous thromboembolism. Branch retinal vein occlusion (BRVO) generally develops mid-60s patients. Herein, we present a case of BRVO caused by the above mentioned risk factors in a young woman. To the best of our knowledge, this is the first report about BRVO associated with oral contraceptives, COVID-19 vaccination, and SARS-CoV-2. A 21-year-old woman presented with loss of visual acuity in her right eye for 10 days. She had been receiving oral contraceptives for 2 years for oligomenorrhea before noticing ophthalmological symptoms. Despite having received two doses of an mRNA COVID-19 vaccine, she contracted COVID-19 and developed fever, sore throat, cough, low back pain, and general malaise about 40 days before the initial visit. However, only cough persisted for more than a month. The right eye showed BRVO with macular edema (ME). She did not smoke nor had diabetes or hypertension. Blood test results, including cardiolipin antibody IgG, were normal. She was treated with an intravitreal aflibercept injection. ME in the fundus showed rapid improvement and resolution. Although more than 20 months have passed since the first injection, there has been no relapse of ME. The combination of oral contraceptive use, COVID-19 vaccination, and subsequent SARS-CoV-2 infection could induce the development of venous thromboembolism, thereby leading to BRVO. Given that cases of COVID-19 have increased globally, patients with retinal vein occlusion who use oral contraceptives are likely to be encountered more frequently.

Prescribing Patterns of Nonrecommended Medications for Children With Acute COVID-19.

Repurposed medications for acute coronavirus disease 2019 (COVID-19) continued to be prescribed after results from rigorous studies and national guidelines discouraged use. We aimed to describe prescribing rates of nonrecommended medications for acute COVID-19 in children, associations with demographic factors, and provider type and specialty. In this retrospective cohort of children <18 years in a large United States all-payer claims database, we identified prescriptions within 2 weeks of an acute COVID-19 diagnosis. We calculated prescription rate, performed multivariable logistic regression to identify risk factors, and described prescriber type and specialty during nonrecommended periods defined by national guidelines. We identified 3 082 626 COVID-19 diagnoses in 2 949 118 children between March 7, 2020 and December 31, 2022. Hydroxychloroquine (HCQ) and ivermectin were prescribed in 0.03% and 0.14% of COVID-19 cases, respectively, during nonrecommended periods (after September 12, 2020 for HCQ and February 5, 2021 for ivermectin) with considerable variation by state. Prescription rates were 4 times the national average in Arkansas (HCQ) and Oklahoma (ivermectin). Older age, nonpublic insurance, and emergency department or urgent care visit were associated with increased risk of either prescription. Additionally, residence in nonurban and low-income areas was associated with ivermectin prescription. General practitioners had the highest rates of prescribing. Although nonrecommended medication prescription rates were low, the overall COVID-19 burden translated into high numbers of ineffective and potentially harmful prescriptions. Understanding overuse patterns can help mitigate downstream consequences of misinformation. Reaching providers and parents with clear evidence-based recommendations is crucial to children's health.

Wastewater monitoring of SARS-CoV-2 gene for COVID-19 epidemiological surveillance in Tucumán, Argentina.

Wastewater-based epidemiology provides temporal and spatial information about the health status of a population. The objective of this study was to analyze and report the epidemiological dynamics of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the province of Tucumán, Argentina during the second and third waves of coronavirus disease 2019 (COVID-19) between April 2021 and March 2022. The study aimed to quantify SARS-CoV-2 RNA in wastewater, correlating it with clinically reported COVID-19 cases. Wastewater samples (n = 72) were collected from 16 sampling points located in three cities of Tucumán (San Miguel de Tucumán, Yerba Buena y Banda del Río Salí). Detection of viral nucleocapsid markers (N1 gene) was carried out using one-step reverse transcription-quantitative polymerase chain reaction (RT-qPCR). Viral loads were determined for each positive sample using a standard curve. A positive correlation (p < 0.05) was observed between viral load (copies/mL) and the clinically confirmed COVID-19 cases reported at specific sampling points in San Miguel de Tucumán (SP4, SP7, and SP8) in both months, May and June. Indeed, the high viral load concurred with the peaks of COVID-19 cases. This method allowed us to follow the behavior of SARS-CoV-2 infection during epidemic outbreaks. Thus, wastewater monitoring is a valuable epidemiological indicator that enables the anticipation of increases in COVID-19 cases and tracking the progress of the pandemic. SARS-CoV-2 genome-based surveillance should be implemented as a routine practice to prepare for any future surge in infections.

Using the Lagrange Interpolation Polynomial Method to calculate the prevalence of coronavirus disease 2019 (COVID-19) in Turkey

The goal of this paper is to look into a numerical approximation for the spread of the coronavirus disease 2019 (COVID-19) in Turkey. From March 11th to November 30th, all data is examined one by one for this purpose. The Lagrange interpolation method does not require evenly spaced x values. On the other hand, it is usually preferable to look for the closest value in the table and then use the lowest-order interpolation that is consistent with the functional form of the data. Using this method, a function for monthly and general data on the number of COVID-19 disease deaths and cases infected with the disease is obtained. Matlab programming is used to obtain Lagrange interpolation polynomials. Simulations for month by month and general data are obtained using Lagrange interpolation polynomial. The rate of spread of disease and death numbers is obtained by taking the first derivative of this function. Monthly and general tables are constructed for this propagation rate data.  Peak point of the disease and different change values ​​are determined from the information in these simulations. The rates of death and spread of the disease by months are compared. As a result of this comparison, it can be seen in which months the rate of spread of disease and death increases and decreases. Monthly increase and decrease values ​​can be seen from the Figure 3-Figure 6. For example, a relative decrease can be observed in April and May

Prevalence and diversity of imported severe acute respiratory syndrome coronavirus 2 variants in China, 2021-2022.

The causative agent of coronavirus disease 2019 (COVID-19), known as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has spread accumulatively to 240 countries and continues to evolve. To gain a comprehensive understanding of the epidemiological characteristics of imported variants in China and their correlation with global circulating variants, genomic surveillance data from 11 139 imported COVID-19 cases submitted by Chinese provincial CDC laboratories between 2021 and 2022 were analyzed. Consensus sequences underwent rigorous quality checks, followed by amino acid mutations analysis using Nextclade. Sequences with satisfactory quality control status were classified according to the Pango nomenclature. The results showed that the dominant variants in imported cases reflected the global epidemic trend. An increase in the number of imported SARS-CoV-2 lineages monitored in China in the second half of 2022, and the circulating Omicron subvariants changed from the ancestral lineages of BA.5 and BA.2 into the lineages containing key amino acid mutations of spike protein. There was significant variation in the detection of Omicron subvariants among continents (χ2 = 321.968, p < 0.001) in the second half of 2022, with four lineages (BA.2.3.7, BA.2.2, BA.5.2.7, and XBB.1.2) identified through imported surveillance mainly prevalent respectively in Taiwan, China, Hong Kong SAR, China, Russian Federation, and Singapore. These findings revealed the alterations in circulating imported variants from 2021 to 2022 in China, reflecting the higher diversity of lineages in the second half of 2022, and revealed the predominant lineages of countries or regions that are in close contacts to China, providing new insights into the global prevalence of SARS-CoV-2.

Application of Skimmed-Milk Flocculation Method for Wastewater Surveillance of COVID-19 in Kathmandu, Nepal

Wastewater surveillance (WS) has been used globally as a complementary tool to monitor the spread of coronavirus disease 2019 (COVID-19) throughout the pandemic. However, a concern about the appropriateness of WS in low- and middle-income countries (LMICs) exists due to low sewer coverage and expensive viral concentration methods. In this study, influent wastewater samples (n = 63) collected from two wastewater treatment plants (WWTPs) of the Kathmandu Valley between March 2021 and February 2022 were concentrated using the economical skimmed-milk flocculation method (SMFM). The presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was tested by qPCR using assays that target the nucleocapsid (N) and envelope (E) genes. Overall, 84% (53/63) of the total samples were positive for SARS-CoV-2 according to at least one of the tested assays, with concentrations ranging from 3.5 to 8.3 log10 gene copies/L, indicating the effectiveness of the SMFM. No correlation was observed between the total number of COVID-19 cases and SARS-CoV-2 RNA concentrations in wastewater collected from the two WWTPs (p &gt; 0.05). This finding cautions the prediction of future COVID-19 waves and the estimation of the number of COVID-19 cases based on wastewater concentration in settings with low sewer coverage by WWTPs. Future studies on WS in LMICs are recommended to be conducted by downscaling to sewer drainage, targeting a limited number of houses. Overall, this study supports the notion that SMFM can be an excellent economical virus-concentrating method for WS of COVID-19 in LMICs.

Preferences of Medical Technology Students on COVID-19 Personal Preventive Behaviors and University Safety Protocols: A Conjoint Analysis

The increase in coronavirus disease (COVID-19) cases in the Philippines has created an alarming issue in high-density public places, such as schools and universities. Personal preventive behaviors that the students exercise play a big part in whether such behaviors prevent or only predispose them even more to contracting the virus. Several factors may influence the personal preventive behaviors of an individual. These include attitude, awareness, personal beliefs, and culture concerning the disease. Through outlining these several factors, the researchers aim to identify the main attributes that determine students’ preferred COVID-19 personal preventive behavior and implemented precautionary measures. The researchers used a two-part survey: socioeconomic and demographic followed by an orthogonal plan. The safety protocols implemented by the university were found to be the most important factor, followed by knowledge about the disease, communication channels, attitude, and social construct of the family. Thus, this follows that based on the attribute’s importance value, the students prefer safety protocols that are most implemented by the university while social construct of the family is the least preferred. These findings suggest that the safety protocols implemented by the university are the most important factor, hence, policy implementation and strengthening should be observed by the university. Keywords: COVID-19, preventive behavior, knowledge, perception, attitude

COVID-19 epidemiology, health services utilisation and health care seeking behaviour during the first year of the COVID-19 pandemic in Mweso health zone, Democratic Republic of Congo.

Although the evidence about coronavirus disease 2019 (COVID-19) has increased exponentially since the beginning of the pandemic, less is known about the direct and indirect effects of the pandemic in humanitarian settings. In the Democratic Republic of the Congo (DRC), most studies occurred in Kinshasa and other cities. Limited research was conducted in remote conflict-affected settings. We investigated the COVID-19 epidemiology, health service utilisation, and health care-seeking behaviour during the first year of the pandemic (March 2020-March 2021) in the Mweso health zone, North Kivu, DRC. This mixed-methods study includes a descriptive epidemiological analysis of reported COVID-19 cases data extracted from the provincial line list, interrupted time series analysis of health service utilisation using routine health service data, qualitative perceptions of health care workers about how health services were affected, and community members' health care seeking behaviour from a representative household survey and focus group discussions. The COVID-19 epidemiology in North Kivu aligns with evidence reported globally, yet case fatality rates were high due to underreporting. Testing capacity was limited and initially mainly available in the province's capital. Health service utilisation showed different patterns - child measles vaccinations experienced a decrease at the beginning of the pandemic, while outpatient consultations, malaria, and pneumonia showed an increase over time. Such increases might have been driven by insecurity and population displacements rather than COVID-19. Community members continued seeking care during the first months of the COVID-19 pandemic and visited the same health facilities as before COVID-19. Financial constraints, not COVID-19, were the main barrier reported to accessing health care. The first year of the COVID-19 pandemic in the Mweso health zone was characterised by low testing capacity and an underestimation of reported COVID-19 infections. The increase in health care utilisation should be further explored to understand the role of factors unrelated to COVID-19, such as insecurity, population displacement, and poverty, which remain major challenges to successfully providing health services and improving the population's health. Measles vaccination coverage dropped, which exacerbated the ongoing measles outbreak. Improved decentralised testing capacity will be crucial for future epidemics and enhanced efforts to maintain child vaccination coverage.

Clinical and laboratory features of COVID-19 in newborns. Analysis of a severe clinical case

Background. Since the onset of the coronavirus disease 2019 (COVID-19) epidemic until January 1, 2024, more than 5.5 million confirmed cases of COVID-19 have been detected in Ukraine according to official data, approximately 6 % of them among children under 18 years old. Aim: to improve the management of newborns based on studies of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection with different course. Materials and methods. Eleven newborns (7 boys and 4 girls) diagnosed with SARS-CoV-2 confirmed by polymerase chain reaction were observed. Disease progression, results of laboratory and instrumental studies were analyzed. Results. An analysis of clinical data and the results of laboratory and instrumental investigations are presented, as well as treatment outcomes in newborns with confirmed COVID-19. It was found that in all cases, children were infected from mothers with SARS-CoV-2. The frequency of clinical symptoms is provided, revealing discrepancies between respiratory symptoms and changes identified on lung ultrasound. Most children exhibited anemia, elevated D-dimer levels in the blood, yet experienced a mild course of the disease. The average duration of illness prior to hospitalization was 3.70 ± 1.48 days, with a hospital stay of 4.01 ± 1.22 days. An exception was in case of patient N., characterized by a severe condition necessitating prolonged oxygen therapy, mechanical ventilation, and administration of remdesivir. This particular case is detailed in the article. Conclusions. In most infants under one month of age observed in this study, the course of ­COVID-19 caused by SARS-CoV-2 was characterized by symptoms such as lethargy, hyperthermia, nasal congestion, diarrhea, and changes detected only through laboratory and instrumental stu­dies: anemia, abnormalities in the coagulation system, and increased lung parenchymal density. Ho­wever, the disease course in infants of this age can also be very severe, with lung parenchymal involvement, pneumonia, COVID-19-associated coagulopathy, complicated by generalized bacterial infection, as presented in the clinical case.

Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 Among Residents and Employees in a Veterans Affairs Community Living Center: A 42-Month Prospective Cohort Study.

Understanding routes of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission in long-term care facilities is essential for the development of effective control measures. Between March 1, 2020, and August 31, 2023, we identified coronavirus disease 2019 (COVID-19) cases among residents and employees in a Veterans Affairs community living center that conducted routine screening for asymptomatic COVID-19. Contact tracing was conducted to identify suspected transmission events, and whole genome sequencing was performed to determine the relatedness of SARS-CoV-2 samples. During the 42-month study period, 269 cases of COVID-19 were diagnosed, including 199 employees and 70 residents. A total of 48 (24.1%) employees and 30 (42.9%) residents were asymptomatic. Sequencing analysis provided support for multiple events in which employees transmitted SARS-CoV-2 to co-workers and residents. There was 1 episode of likely transmission of SARS-CoV-2 from one resident to another resident, but no documented transmissions from residents to employees. Transmission of SARS-CoV-2 in the community living center predominantly involved transmission from employees to co-workers and residents. There is a need for improved measures to prevent transmission of SARS-CoV-2 by healthcare personnel.

COVID-19 Australia: Epidemiology Report 85: Reporting period ending 10 March 2024.

This is the eighty-fifth and final epidemiological report for coronavirus disease 2019 (COVID-19), reported in Australia as at 23:59 Australian Eastern Daylight Time [AEST] 10 March 2024. It includes data on COVID-19 cases diagnosed in Australia.

COVID-19 Australia: Epidemiology Report 84: Reporting period ending 11 February 2024.

This is the eighty-fourth epidemiological report for coronavirus disease 2019 (COVID-19), reported in Australia as at 23:59 Australian Eastern Daylight Time [AEST] 11 February 2024. It includes data on COVID-19 cases diagnosed in Australia.

Clinical effectiveness of coronavirus disease 2019 vaccination in patients with multiple sclerosis stratified by disease-modifying treatment.

Coronavirus disease 2019 (COVID-19) vaccination has been associated with a dampened humoral and/or cellular immune response in patients with multiple sclerosis (MS) who were concurrently on disease-modifying treatment (DMT) with B-cell depleting agents or sphingosine-1-phosphate receptor modulators (S1PRMs). Our main goal was to investigate the impact of these DMT classes on the clinical effectiveness of COVID-19 vaccination. Since March 2020, demographics and clinical data of patients with MS who developed COVID-19 have been collected at the Belgian National MS Centre in Melsbroek. Patients were considered to be 'protected by vaccination' if they were (i) fully vaccinated and (ii) tested positive for COVID-19 in the period ranging from 14 days to 6 months after the last administered vaccine. On 19 December 2022, 418 COVID-19 cases were retrospectively identified in 389 individual patients. Hospitalization and mortality rates resulting from the infection were 10.8% and 2.4%, respectively. Being 'unprotected by vaccination' was significantly associated with a worse COVID-19 outcome (i.e., hospitalization and/or death) in the total cohort (N = 418, odds ratio [OR] 3.96), in patients on ongoing DMT other than anti-CD20 agents or S1PRMs (N = 123, OR 31.75) and in patients without DMT (N = 182, OR 5.60), but not in those receiving anti-CD20 agents (N = 91, OR 0.39); the S1PRMs subgroup was considered too small (22 infections) for any meaningful analysis. Coronavirus disease 2019 vaccination protects against severe infection in patients with MS but it was not possible to confirm this effect in those on DMT with B-cell depleting agents.

Exploring spatio-temporal impact of COVID-19 on citywide taxi demand: A case study of New York City.

Coronavirus disease 2019 (COVID-19) has brought dramatic changes in our daily life, especially in human mobility since 2020. As the major component of the integrated transport system in most cities, taxi trips represent a large portion of residents' urban mobility. Thus, quantifying the impacts of COVID-19 on city-wide taxi demand can help to better understand the reshaped travel patterns, optimize public-transport operational strategies, and gather emergency experience under the pressure of this pandemic. To achieve the objectives, the Geographically and Temporally Weighted Regression (GTWR) model is used to analyze the impact mechanism of COVID-19 on taxi demand in this study. City-wide taxi trip data from August 1st, 2020 to July 31st, 2021 in New York City was collected as model's dependent variables, and COVID-19 case rate, population density, road density, station density, points of interest (POI) were selected as the independent variables. By comparing GTWR model with traditional ordinary least square (OLS) model, temporally weighted regression model (TWR) and geographically weighted regression (GWR) model, a significantly better goodness of fit on spatial-temporal taxi data was observed for GTWR. Furthermore, temporal analysis, spatial analysis and the epidemic marginal effect were developed on the GTWR model results. The conclusions of this research are shown as follows: (1) The virus and health care become the major restraining and stimulative factors of taxi demand in post epidemic era. (2) The restraining level of COVID-19 on taxi demand is higher in cold weather. (3) The restraining level of COVID-19 on taxi demand is severely influenced by the curfew policy. (4) Although this virus decreases taxi demand in most of time and places, it can still increase taxi demand in some specific time and places. (5) Along with COVID-19, sports facilities and tourism become obstacles on increasing taxi demand in most of places and time in post epidemic era. The findings can provide useful insights for policymakers and stakeholders to improve the taxi operational efficiency during the remainder of the COVID-19 pandemic.

Change in the Proportion of Death at Home during the COVID-19 Pandemic and Its Associated Factors in the Municipality Level: A Nationwide Study in Japan.

The coronavirus disease 2019 (COVID-19) pandemic may have led to an increase in home deaths due to hospital bed shortage and hospital visitation restrictions. This study aimed to examine changes in the proportion of home deaths before and after the COVID-19 pandemic and identify associated factors. We used publicly available nationwide data to describe the proportion of home deaths among total deaths from 2015 to 2021. Furthermore, we used municipal-level data to examine the factors associated with the increase in the proportion of home deaths from 2019 to 2021. The dependent variable was the absolute change in the proportion of home deaths from 2019 to 2021. The independent variables included each municipality's 2019 home death percentage, medical and long-term care (LTC) resources divided by the population of older people, population density, and cumulative number of COVID-19 cases. A multivariable linear regression analysis was conducted after the standardization of each variable. The proportions of home deaths in 2015, 2019, and 2021 were 12.7%, 13.6%, and 17.2%, respectively, indicating a sharp increase in home death rate after the COVID-19 pandemic. In the multivariable linear regression analysis that included 1,696 municipalities, conventional home care support clinics and hospitals (HCSCs) (coefficient [95% confidence intervals (CIs)], 0.19 [0.01-0.37]), enhanced HCSCs (0.53 [0.34-0.71]), home-visiting nurses (0.26 [0.06-0.46]), population density (0.44 [0.21-0.67]), and cumulative COVID-19 cases (0.49 [0.27-0.70]) were positively associated with the increase in home deaths, whereas beds of LTC welfare facilities (-0.55 [-0.74--0.37]) and the proportion of home deaths in 2019 (-1.24 [-1.44--1.05]) were negatively associated with the increase. During the COVID-19 pandemic, home deaths significantly increased, particularly in densely populated areas with high cumulative COVID-19 cases. HCSCs, especially enhanced HCSCs, are crucial for meeting the demand for home-based end-of-life care.

Comprehensive analysis of immunogenic cell death-related gene and construction of prediction model based on WGCNA and multiple machine learning in severe COVID-19

The death of coronavirus disease 2019 (COVID-19) is primarily due to from critically ill patients, especially from ARDS complications caused by SARS-CoV-2. Therefore, it is essential to contribute an in-depth understanding of the pathogenesis of the disease and to identify biomarkers for predicting critically ill patients at the molecular level. Immunogenic cell death (ICD), as a specific variant of regulatory cell death driven by stress, can induce adaptive immune responses against cell death antigens in the host. Studies have confirmed that both innate and adaptive immune pathways are involved in the pathogenesis of SARS-CoV-2 infection. However, the role of ICD in the pathogenesis of severe COVID-19 has rarely been explored. In this study, we systematically evaluated the role of ICD-related genes in COVID-19. We conducted consensus clustering, immune infiltration analysis, and functional enrichment analysis based on ICD differentially expressed genes. The results showed that immune infiltration characteristics were altered in severe and non-severe COVID-19. In addition, we used multiple machine learning methods to screen for five risk genes (KLF5, NSUN7, APH1B, GRB10 and CD4), which are used to predict COVID-19 severity. Finally, we constructed a nomogram to predict the risk of severe COVID-19 based on the classification and recognition model, and validated the model with external data sets. This study provides a valuable direction for the exploration of the pathogenesis and progress of COVID-19, and helps in the early identification of severe cases of COVID-19 to reduce mortality.