Incidence Of Coronavirus Disease 2019 Research Articles

Performance of indicators used in regular risk assessments for COVID-19 in association with contextual factors

Objectives: This study aimed to summarize the results of coronavirus disease 2019 (COVID-19) risk assessments and to examine the associations between risk levels and various indicators, including COVID-19 incidence, risk perception, community mobility, and government policy.Methods: The results of the risk assessment and the indicators utilized were summarized. From November 2021 to May 2022, the COVID-19 risk level was evaluated on a weekly basis, and its correlation with these indicators was analyzed. Data were obtained from press releases by the Korea Disease Control and Prevention Agency, regular surveys conducted by Hankook Research, and information available on the Google and Oxford websites.Results: Weekly risk assessments were conducted for 30 weeks, using different indices depending on the phases. Correlation analysis revealed the strongest positive correlation between risk level and risk perception (r=0.841). The risk level from “1-week lead” demonstrated a strong positive correlation with the time-varying reproduction number (Rt). Similarly, the risk level from “week lagged value” showed a strong positive correlation with the number of severe cases in the hospital.Conclusion: At the time of risk assessment, the Rt precedes the risk level, while severe cases in hospitals follow. Therefore, the assessed risk level functioned as an early warning system. Risk perception demonstrated the strongest correlation with the risk level, suggesting consistency throughout the assessment period. Contextual indicators (e.g., risk perception) that consider time lags and implementation scales, could improve the evaluation of future risk assessment results, particularly when there are challenges in reflecting specific situations in coordinated emergency response.

Incidence of Long COVID-19 at 12-18 Months Following Delta Wave of Coronavirus Disease 2019: Hospital-based Prospective Registry.

Long coronavirus disease 2019 (COVID-19) has emerged as an important consequence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). To identify its incidence 12-18 months following hospitalization in patients with COVID-19, we performed a prospective study. Virologically confirmed successive patients with moderate-to-severe COVID-19, hospitalized during the delta wave in India, were recruited. Data on clinical features, investigations, and outcomes were obtained. Long COVID-19 was diagnosed using the European quality of life questionnaire (EQ-5D) and Birmingham symptom burden questionnaire (SBQ) at 12-18-month follow-up. During the study period (January-July 2021), we evaluated 8,680 suspected COVID-19 patients, of whom 1,641 were confirmed virologically and 388 were hospitalized. Men accounted for 64.4%, individuals aged >60 years for 41.5%, hypertension for 42.8%, diabetes for 38.4%, and cardiovascular disease for 17.3%. At admission, there was a high prevalence of cough (71.1%), fever (86.6%), and oxygen requirement (38.6%). Proning was deployed in 89.2% of cases, nasal cannula in 36.3%, nonrebreather masks in 15.7%, noninvasive ventilation in 14.4%, and invasive ventilation in 16.2%. In-hospital deaths totaled 75 (19.3%), with 310 discharged for home care and eligible for follow-up. At a median follow-up of 15 months, 9 patients had died, 40 were lost to follow-up, and 264 were evaluated. The incidence of Long COVID-19 was 45 [17.0%, 95% confidence of interval (CI) 12.6-21.9%]. The median EQ-5D score was 5.0, with >5 observed in only 11 patients (0.6%). Using the SBQ, new-onset dyspnea on exertion was noted in 13 (4.9%), rest dyspnea in 7 (2.6%), fatigue in 31 (11.7%), feverishness in 18 (6.8%), and low energy in 16 (6.1%). Long COVID-19 was significantly more prevalent in women and older individuals. In Long COVID-19 compared to controls, the mean duration of oxygen requirement (5.46 ± 9.8 vs 2.46 ± 4.5 days, p = 0.002), use of nonrebreather masks (17.8 vs 7.3%, p = 0.026), noninvasive ventilation (11.1 vs 3.2%, p = 0.020), and duration of intensive care unit (ICU) stay (13.5, 8.7-17.3 vs 8.0, 5.0-11.0 days, p = 0.028) were significantly higher. The incidence of Long COVID-19 at 12-18 months follow-up is 17.0%. It is significantly higher in women, older age groups, and patients requiring longer oxygenation, nonrebreather oxygen masks, noninvasive respiratory support, and extended stays in the ICU.

Designing a model to estimate the burden of COVID-19 in Iran

The novel coronavirus disease 2019 (COVID-19) is the latest evidence of an epidemic disease resulting in an extraordinary number of infections and claimed several lives, along with extensive economic and social consequences. In response to the emergency situation, countries introduced different policies to address the situation, with different levels of efficacy. This paper outlines the protocol for developing a model to analyze the burden of COVID-19 in Iran and the effect of policies on the incidence and cumulative death of the disease. The importance of the model lies in the fact that no study, according to the authors’ best knowledge, tried to quantify the impact of the disease on Iran society and the impact of various implemented interventions on disease control. Based on a systematic review of COVID-19 prediction models and expert interviews, we developed a system dynamics model that not only includes an epidemic part but also considers the impact of various policies implemented by the Ministry of Health. The epidemic model estimates the incidence and mortality of COVID-19 in Iran. The model also intends to evaluate the effect of implemented policies on these outcomes. The model reflects the continuum of COVID-19 infection and care in Iran (of which some of its elements are unique) and key activities and decisions in delivering care. The model is calibrated and validated using data published by the Ministry of Health of Iran. Finally, the study aims to provide evidence of the impact of interventions intended to curb COVID-19 in Iran. Insights provided by the model will be necessary for controlling either future waves of the disease or similar future pandemics.

The first detection of SARS-CoV-2 RNA in the wastewater of Bucharest, Romania

Wastewater-based epidemiology (WBE) has been previously used as a tool for pathogen identification within communities. After the SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) outbreak, in 2020, Daughton proposed the implementation of a wastewater surveillance strategy that could determine the incidence of COVID-19 (coronavirus disease 2019) nationally. Individuals in various stages of SARS-CoV-2 infection, including presymptomatic, asymptomatic and symptomatic patients, can be identified as carriers of the virus in their urine, saliva, stool and other bodily secretions. Studies using this method were conducted to monitor the prevalence of the virus in high-density populations, such as cities but also in smaller communities, such as schools and college campuses. The aim of this pilot study was to assess the feasibility and effectiveness of wastewater surveillance in Bucharest, Romania, and wastewater samples were collected weekly from seven locations between July and September 2023. RNA (ribonucleic acid) extraction, followed by dPCR (digital polymerase chain reaction) analysis, was performed to detect viral genetic material. Additionally, NGS (next generation sequencing) technology was used to identify the circulating variants within the wastewater of Bucharest, Romania. Preliminary results indicate the successful detection of SARS-CoV-2 RNA in wastewater, providing valuable insights into the circulation of the virus within the community.

Evaluation of hydroxychloroquine or chloroquine for the prevention of COVID-19 (COPCOV): A double-blind, randomised, placebo-controlled trial.

Hydroxychloroquine (HCQ) has proved ineffective in treating patients hospitalised with Coronavirus Disease 2019 (COVID-19), but uncertainty remains over its safety and efficacy in chemoprevention. Previous chemoprevention randomised controlled trials (RCTs) did not individually show benefit of HCQ against COVID-19 and, although meta-analysis did suggest clinical benefit, guidelines recommend against its use. Healthy adult participants from the healthcare setting, and later from the community, were enrolled in 26 centres in 11 countries to a double-blind, placebo-controlled, randomised trial of COVID-19 chemoprevention. HCQ was evaluated in Europe and Africa, and chloroquine (CQ) was evaluated in Asia, (both base equivalent of 155 mg once daily). The primary endpoint was symptomatic COVID-19, confirmed by PCR or seroconversion during the 3-month follow-up period. The secondary and tertiary endpoints were: asymptomatic laboratory-confirmed Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection; severity of COVID-19 symptoms; all-cause PCR-confirmed symptomatic acute respiratory illness (including SARS-CoV-2 infection); participant reported number of workdays lost; genetic and baseline biochemical markers associated with symptomatic COVID-19, respiratory illness and disease severity (not reported here); and health economic analyses of HCQ and CQ prophylaxis on costs and quality of life measures (not reported here). The primary and safety analyses were conducted in the intention-to-treat (ITT) population. Recruitment of 40,000 (20,000 HCQ arm, 20,000 CQ arm) participants was planned but was not possible because of protracted delays resulting from controversies over efficacy and adverse events with HCQ use, vaccine rollout in some countries, and other factors. Between 29 April 2020 and 10 March 2022, 4,652 participants (46% females) were enrolled (HCQ/CQ n = 2,320; placebo n = 2,332). The median (IQR) age was 29 (23 to 39) years. SARS-CoV-2 infections (symptomatic and asymptomatic) occurred in 1,071 (23%) participants. For the primary endpoint the incidence of symptomatic COVID-19 was 240/2,320 in the HCQ/CQ versus 284/2,332 in the placebo arms (risk ratio (RR) 0.85 [95% confidence interval, 0.72 to 1.00; p = 0.05]). For the secondary and tertiary outcomes asymptomatic SARS-CoV-2 infections occurred in 11.5% of HCQ/CQ recipients and 12.0% of placebo recipients: RR: 0.96 (95% CI, 0.82 to 1.12; p = 0.6). There were no differences in the severity of symptoms between the groups and no severe illnesses. HCQ/CQ chemoprevention was associated with fewer PCR-confirmed all-cause respiratory infections (predominantly SARS-CoV-2): RR 0.61 (95% CI, 0.42 to 0.88; p = 0.009) and fewer days lost to work because of illness: 104 days per 1,000 participants over 90 days (95% CI, 12 to 199 days; p < 0.001). The prespecified meta-analysis of all published pre-exposure RCTs indicates that HCQ/CQ prophylaxis provided a moderate protective benefit against symptomatic COVID-19: RR 0.80 (95% CI, 0.71 to 0.91). Both drugs were well tolerated with no drug-related serious adverse events (SAEs). Study limitations include the smaller than planned study size, the relatively low number of PCR-confirmed infections, and the lower comparative accuracy of serology endpoints (in particular, the adapted dried blood spot method) compared to the PCR endpoint. The COPCOV trial was registered with ClinicalTrials.gov; number NCT04303507. In this large placebo-controlled, double-blind randomised trial, HCQ and CQ were safe and well tolerated in COVID-19 chemoprevention, and there was evidence of moderate protective benefit in a meta-analysis including this trial and similar RCTs. ClinicalTrials.gov NCT04303507; ISRCTN Registry ISRCTN10207947.

Risk of nosocomial coronavirus disease 2019: comparison between single- and multiple-occupancy rooms

BackgroundThere is an ongoing controversy regarding whether single-occupancy rooms are superior to multiple-occupancy rooms in terms of infection prevention. We investigated whether treatment in a multiple-occupancy room is associated with an increased incidence of nosocomial coronavirus disease 2019 (COVID-19) compared with treatment in a single-occupancy room.MethodsIn this retrospective cohort study, every hospitalization period of adult patients aged ≥ 18 years at a tertiary hospital in Korea from January 1, 2022, to December 31, 2022, was analyzed. If COVID-19 was diagnosed more than 5 days after hospitalization, the case was classified as nosocomial. We estimated the association between the number of patients per room and the risk of nosocomial COVID-19 using a Cox proportional hazards regression model.ResultsIn total, 25,143 hospitalizations per room type were analyzed. The incidence rate of nosocomial COVID-19 increased according to the number of patients per room; it ranged from 3.05 to 38.64 cases per 10,000 patient-days between single- and 6-bed rooms, respectively. Additionally, the hazard ratios of nosocomial COVID-19 showed an increasing trend according to the number of patients per room, ranging from 0.14 (95% confidence interval 0.001–1.03) to 2.66 (95% confidence interval 1.60–4.85) between single- and 6-bed rooms, respectively.ConclusionsWe demonstrated that the incidence of nosocomial COVID-19 increased according to the number of patients per room. To reduce nosocomial infections by respiratory viruses, the use of multiple-occupancy rooms should be minimized.

Quantitative evaluation of water, sanitation, and hygiene measures on COVID-19 pandemic peak reduction in the Philippines

New cases of coronavirus disease 2019 (COVID-19) are continually being recorded worldwide, despite global efforts in implementing non-pharmaceutical interventions and establishing vaccination programs. This trend highlights the need to identify the factors associated with the continued spread of COVID-19. The World Health Organization recommends hand washing as a cost-effective intervention for preventing COVID-19, indicating that water, sanitation, and hygiene (WaSH) are central to the prevention of the disease. However, low- and middle-income countries lack adequate access to WaSH, which increases the risk of contracting COVID-19. The aim of this study was to identify the WaSH factors associated with the incidence of COVID-19 and quantitatively estimate the effects of improvements in WaSH on reducing the incidence of COVID-19 during the peak of the pandemic. Lasso regression and extreme gradient boosting models were used to identify the WaSH factors. Distinct estimation models were developed to assess the effect of WaSH in rural regions under two assumptions: increasing regional basic sanitation coverage up to 25 % and 50%. The reduction in the incidence of COVID-19 during the peak of the pandemic was calculated for each rural region. The results of the analyses indicated that basic sanitation is important for reducing the incidence of COVID-19 in rural regions compared to urban regions in the Philippines. In addition, the results suggested that increasing basic sanitation coverage could reduce the incidence of COVID-19 by 2–66 %, alleviating the burden on healthcare facilities. This study indicates that improved basic sanitation infrastructure are needed in rural Philippines. The results of this study emphasise the significance of WaSH as an indicator of COVID-19 incidence, highlighting the need for its enhancement to enable the achievement of sustainable disease prevention and pandemic preparedness goals.

A moderately higher time-in-range threshold improves the prognosis of type 2 diabetes patients complicated with COVID-19.

After fully lifting coronavirus disease 2019 (COVID-19) pandemic control measures in mainland China in 12/2022, the incidence of COVID-19 has increased markedly, making it difficult to meet the general time-in-range (TIR) requirement. We investigated a more clinically practical TIR threshold and examined its association with the prognosis of COVID-19 patients with type 2 diabetes(T2D). 63 T2D patients complicated with COVID-19 were evaluated. Patients were divided into favorable outcome group and adverse outcome group according to whether achieving composite endpoint (a >20-day length of stay, intensive care unit admission, mechanical ventilation use, or death). TIR, the time-below-range (TBR) and the time-above-range (TAR) were calculated from intermittently scanned continuous glucose monitoring. Logistic regression analysis and other statistical methods were used to analyze the correlation between glucose variability and prognosis to establish the appropriate reference range of TIR. TIR with thresholds of 80 to 190 mg/dL was significantly associated with favorable outcomes. An increase of 1% in TIR is connected with a reduction of 3.70% in the risk of adverse outcomes. The Youden index was highest when the TIR was 54.73%, and the sensitivity and specificity were 58.30% and 77.80%, respectively. After accounting for confounding variables, our analysis revealed that threshold target ranges (TARs) ranging from 200 mg/dL to 230 mg/dL significantly augmented the likelihood of adverse outcomes. The TIR threshold of 80 to 190 mg/dL has a comparatively high predictive value of the prognosis of COVID-19. TIR >54.73% was associated with a decreased risk of adverse outcomes. These findings provide clinically critical insights into possible avenues to improve outcomes for COVID-19 patients with T2D.

Spatiotemporal heterogeneity of the association between short-term exposure to carbon monoxide and COVID-19 incidence: A multistage time-series study in the continental United States

BackgroundPrevious research has established carbon monoxide (CO) as a significant air pollutant contributing to coronavirus disease 2019 (COVID-19) transmission. The spatiotemporal heterogeneity in the relationship between short-duration CO exposure and COVID-19 incidence remain underexplored. Investigating such heterogeneity plays a crucial role in designing region-specific cost-effective public health policies, exploring the reasons for heterogeneity, and understanding the temporal trends in the association between CO and an emerging infectious disease such as COVID-19. MethodsThe 49 states of the continental United States (U.S.) were examined in this study. Initially, we developed time-series generalized additive models (GAMs) for each state to assess the preliminary correlation between daily COVID-19 cases and short-term CO exposure from April 1, 2020, to December 31, 2021. Subsequently, the correlations were compiled utilizing Leroux-prior-based conditional autoregression (LCAR) to achieve a smoothed spatial distribution. Finally, we integrated a time-varying component into the GAM and LCAR to analyze temporal correlations and illuminate the factors contributing to spatiotemporal heterogeneity. ResultsOur analysis revealed that, across the 49 states, a 10-ppb increase in CO concentration was associated with a 1.33 % (95%CI: 0.86%–1.81 %) increase in COVID-19 cases on average. Furthermore, spatial variability was noted, with weaker correlations observed in the central and southeastern regions, stronger associations in the northeastern regions, and negligible associations in the western regions. Temporally, the correlation was not significant from April 2020 to June 2021, but began to increase steadily thereafter until the end of 2021. Additionally, vaccination and temperature were determined to be potential causes contributing to the heterogeneity, indicating stronger positive associations in areas with higher vaccination rates and temperatures. ConclusionThe findings of this study underscore the importance of monitoring CO pollution in the central and northeastern US, especially in the aftermath of the pandemic.

Identification of environmental, socioeconomic, water, sanitation, and hygiene (WaSH) factors associated with COVID-19 incidence in the Philippines: A nationwide modelling study

Despite the implementation of non-pharmaceutical interventions, the threat of coronavirus disease 2019 (COVID-19) remains significant on a global scale. Identifying external factors contributing to its spread is crucial, especially given the World Health Organization's recommendation emphasizing access to water, sanitation, and hygiene as essential in curbing COVID-19. There is a notable discrepancy in access to sanitation facilities, particularly evident in low- and middle-income countries. However, there is a lack of quantitative assessments regarding these factors. This study examines various environmental, socioeconomic, water, sanitation, and hygiene factors and their associations with COVID-19 incidence. All regions in the Philippines were categorized into clusters based on socioeconomic factors. A conceptual structural equation model (SEM) was developed using domain knowledge. The best-fitting SEM for each cluster was determined, and associations between factors and COVID-19 incidence were estimated.The correlation analysis revealed that rainfall, minimum temperature, and relative humidity were positively correlated with weekly COVID-19 incidence in urban regions. Maximum temperature, mean temperature, wind speed, and wind direction were negatively correlated with weekly COVID-19 incidence in rural regions, with time lags of 0, 3, and 7 weeks. In urban regions (Cluster 1), factors such as urbanization rate (1.00), area (−0.93), and population (0.54) were found to be associated with weekly COVID-19 incidence. Conversely, in rural regions (Cluster 2), factors including area (0.17), basic sanitation (0.84), and wind direction (0.83) showed associations with weekly COVID-19 incidence. These factors were causally associated with a latent variable reflecting the hidden confounders associated with COVID-19 incidence. It is important to note that sanitation factors were associated only in rural regions. Improving access to sanitation facilities in rural regions of the Philippines is imperative to effectively mitigate disease transmission in future pandemics. Identification of the causal effect of unobserved confounders with COVID-19 incidence is recommended for future research.

COVID-19 pneumonia in lung transplant recipients: understanding risk factors and treatment outcomes in Japan

Lung transplant (LTx) recipients face a significant risk from coronavirus disease 2019 (COVID-19), with elevated hospitalization mortality rates even post-vaccination. While severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) typically induces pneumonia in even healthy individuals, it can also infect the transplanted lungs of LTx recipients, potentially leading to graft dysfunction. Despite the prevalence of COVID-19 pneumonia in LTx recipients, data on its characteristics and associated risk factors remain limited. This retrospective study analyzed data from LTx recipients at Tohoku University Hospital between January 2001 and November 2023. COVID-19 cases were identified, and patient records, including thoracic computed tomography (CT) evaluations, were reviewed. Patient characteristics, vaccination history, immunosuppressant use, and comorbidities were assessed. Descriptive analysis was utilized for data presentation. Among 172 LTx recipients, 39 (22.7%) contracted COVID-19, with 9 (23%) developing COVID-19 pneumonia. COVID-19 incidence in LTx recipients aligned with national rates, but pneumonia risk was elevated. Delayed antiviral therapy initiation was noted in pneumonia cases. Remdesivir was uniformly administered and remained the primary treatment choice. LTx recipients are susceptible to COVID-19 pneumonia, warranting vigilance and tailored management strategies. Pre-transplant vaccination and prompt COVID-19 diagnosis and treatment are imperative for optimizing outcomes in this population.

Incidence of coronavirus disease (COVID-19) in patients with different degrees of chronic rhinosinusitis with nasal polyps

Introduction. Chronic rhinosinusitis with nasal polyps (CRSwNP) pathogenesis is based on inadequate local immune response, additional SARS-CoV-2 infection can alter CRSwNP pathological process.Aim. To effect of COVID-19 on CRSwNP course in patients with different drug control degree.Materials and methods. 99 patients with bilateral CRSwNP (48 men, 51 women, 58.37 ± 14.43 years), were divided into 3 groups based on CRSwNP medical control degree for 5 years [17]. Group 1 (n = 34) – patients with mild CRSwNP received treatment according to treatment algorithm stages I and II. Group 2 (n = 32) – moderate severity CRSwNP, therapy corresponded to algorithm stage II or III. Group 3 (n = 33) – patients with severe CRSwNP received stage IV treatment 1 or more times. All data about vaccination against coronavirus infection and confirmed COVID-19 episodes with an analysis of its severity were recorded,Results. 63 people had COVID-19 (63.64%, 62.5 ± 13.1 years), of which 62.5% people were vaccinated before infection. COVID-19 was mild in 84.1% (54.70 ± 13.83 years), moderate COVID-19 – in 12.7% (63.1 ± 15.38 years), and severe – in 3.2% (age – 40 years). 36% people (62.5 ± 13.1 years) did not infected with coronavirus. In group 1 mild COVID-19 was observed in 35.29%, moderate severity – in 5.88%. In group 2 all patients who had COVID-19 (87.5%) had mild course. In group 3 39.39% patients had mild COVID-19, 18.18% had moderate COVID-19. Severe COVID-19 was observed in 2 people from this group.Conclusions. COVID-19 was mild in most cases in CRSwNP patients. In 84.1% patients were treated as outpatients. CRSwNP patients had frequent swabs to detect SARS-CoV-2 RNA due to complaints of hyposmia and raised coronavirus infection suspicion.

Comparative analysis of the incidence and mortality of COVID-19 in Korean end-stage kidney disease patients: hemodialysis, peritoneal dialysis, and transplantation.

Patients with end-stage kidney disease (ESKD) are more susceptible to viral epidemics and are known to have higher incidence and death rates of coronavirus disease 2019 (COVID-19) compared to the general population. We determined COVID-19 incidence and mortality among chronic hemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KT) patients in Korea. We conducted a retrospective cohort study and data regarding Korean ESKD adults (aged ≥18 years) were obtained from the National Health Insurance Service of Korea from October 2020 to December 2021. We examined and compared the incidence of COVID-19-related infections and deaths among the patients receiving HD, PD, and KT. Of all ESKD patients, 85,018 (68.1%) were on HD, 8,399 (6.7%) on PD, and 31,343 (25.1%) on KT. The COVID-19 incidence was 1.3% for HD, 1.2% for PD, and 1.5% for KT. COVID-19 mortality was 16.3% for HD, 12.2% for PD, and 4.7% for KT. PD patients had a lower incidence of infection compared to HD patients (odds ratio [OR], 0.76; 95% confidence interval [CI], 0.607-0.93), but KT patients had a significantly higher risk of infection (OR, 1.28; 95% CI, 1.13-1.44). Compared with HD, the risk of COVID-19-related death was not different for PD patients but was significantly lower for KT patients (hazard ratio, 0.55; 95% CI, 0.35-0.88). COVID-19 incidence was lower in PD patients than in HD patients, but mortality was not different between them. KT was associated with a higher risk of COVID-19 infection but lower mortality compared to HD.

SARS-CoV-2 vaccine effectiveness and clinical outcomes in hemodialysis patients: the NHIS-COVID-19 cohort study in South Korea.

Patients undergoing hemodialysis (HD) have a high risk of novel coronavirus disease 2019 (COVID-19) and poor clinical outcomes. This study aimed to investigate severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccine effectiveness against infection and deaths in the South Korean population undergoing HD. We conducted a retrospective cohort study to compare the incidence of COVID-19 and post-diagnosis mortality between patients who were either never vaccinated or fully or partially vaccinated. The Korean nationwide COVID-19 registry and the Korean National Health Insurance Service databases were used. Adult patients without a history of COVID-19 were included between October 8, 2020, and December 31, 2021. The study outcomes were COVID-19 diagnosis, severe clinical COVID-19-related events, and post-diagnosis death. Eighty-five thousand eighteen patients undergoing HD were included, of whom 69,601 were fully vaccinated, 2,213 were partially vaccinated and 13,204 were unvaccinated. Compared with the unvaccinated group, the risk of being diagnosed with COVID-19 in patients who were fully vaccinated decreased during the study period (adjusted odds ratio [aOR] = 0.147; 95% confidence interval [CI] = 0.135-0.159). There were 1,140 (1.3%) patients diagnosed with COVID-19. After diagnosis, fully vaccinated patients were significantly less likely to die than unvaccinated patients (aOR = 0.940; 95% CI = 0.901-0.980) and to experience severe clinical events (aOR = 0.952; 95% CI = 0.916-0.988). Full vaccination against COVID-19 was associated with a reduced risk of both infection and severe clinical outcomes in the South Korean population undergoing HD. These findings support the use of vaccination against SARS-CoV-2 among patients undergoing HD.

Cost–benefit analysis of the COVID-19 vaccination model incorporating different infectivity reductions

The spread and control of coronavirus disease 2019 (COVID-19) present a worldwide economic and medical burden to public health. It is imperative to probe the effect of vaccination and infectivity reductions in minimizing the impact of COVID-19. Therefore, we analyze a mathematical model incorporating different infectivity reductions. This work provides the most economical and effective control methods for reducing the impact of COVID-19. Using data from Ghana as a sample size, we study the sensitivity of the parameters to estimate the contributions of the transmission routes to the effective reproduction number Re. We also devise optimal interventions with cost–benefit analysis that aim to maximize outcomes while minimizing COVID-19 incidences by deploying cost-effectiveness and optimization techniques. The outcomes of this work contribute to a better understanding of COVID-19 epidemiology and provide insights into implementing interventions needed to minimize the COVID-19 burden in similar settings worldwide.

Effectiveness and safety of Sanhan Huashi granules versus nirmatrelvir–ritonavir in adult patients with COVID-19: A randomized, open-label, multicenter trial

Sanhan Huashi granules (SHG) demonstrated therapeutic effects against coronavirus disease 2019 (COVID-19) in observational studies. In order to compare the effectiveness and safety of SHG and nirmatrelvir–ritonavir in treating adults with mild-to-moderate COVID-19, we conducted a randomized, active-controlled, open-label, multi-center trial conducted between February and July in 2023. The patients were randomized in a 1:1 ratio to the SHG group and the nirmatrelvir–ritonavir group. A total of 400 participants were randomized, among which 200 participants ultimately received SHG and 198 received nirmatrelvir–ritonavir. The primary outcome was time to sustained clinical recovery through day 28. SHG significantly shortened the median time to sustained clinical recovery compared to nirmatrelvir–ritonavir (6.0 (95% CI, 5.0 to 6.0) vs. 8.0 (95% CI, 6.0 to 9.0) d; P = 0.001), particularly for individual symptoms including fever, sore throat, cough and fatigue. No participants in either group died and incidence of severe COVID-19 showed no difference between two groups. Participants who received nirmatrelvir–ritonavir demonstrated a higher rate of virus clearance on day 5 compared to those received SHG (46.4% (95% CI, 39.1 to 53.7) vs. 65.6% (95% CI, 58.3 to 72.4); P < 0.001). Most adverse events were mild in both groups. In summary, SHG was superior to nirmatrelvir–ritonavir in shortening the time to sustained clinical recovery in participants with mild-to-moderate COVID-19, despite a lower virus clearance rate observed after 5 d of treatment (Chinese Clinical Trial Registry Identifier: ChiCTR2300067872).

Associations between COVID-19 incidence, weight status, and social participation restrictions in the U.S.: evidence from the national population, cross-sectional study

BackgroundTo explore the associations between coronavirus infection incidence and weight status and social participation restrictions among community-dwelling adults in the United States.MethodsWe analyzed data from the 2021 National Health Interview Survey (NHIS), which included a representative sample of 29,394 individuals (Coronavirus disease 2019 (COVID-19): 3,205) and a weighted total of 252,461,316 individuals (COVID-19: 31,697,404), considering the complex sampling design used in the survey.ResultsAge, race/ethnicity, education level, family income index, body mass index (BMI), and smoking status were significantly associated with COVID-19 infection. Weight status was significantly correlated with social participation restrictions and strongly associated with COVID-19 infection, particularly among individuals who were overweight or obese.ConclusionWeight status was shown to be associated not only with social participation restrictions but also with COVID-19 infection among U.S. adults. Understanding the complex interplay between weight status, social participation, and COVID-19 is crucial for developing effective preventive measures and promoting overall well-being in the community population.

Effectiveness of the 2023-2024 Formulation of the COVID-19 Messenger RNA Vaccine.

The purpose of this study was to evaluate whether the 2023-2024 formulation of the coronavirus disease 2019 (COVID-19) messenger RNA vaccine protects against COVID-19. Cleveland Clinic employees when the 2023-2024 formulation of the COVID-19 messenger RNA vaccine became available to employees were included. Cumulative incidence of COVID-19 over the following 17 weeks was examined prospectively. Protection provided by vaccination (analyzed as a time-dependent covariate) was evaluated using Cox proportional hazards regression, with time-dependent coefficients used to separate effects before and after the JN.1 lineage became dominant. The analysis was adjusted for the propensity to get tested, age, sex, pandemic phase when the last prior COVID-19 episode occurred, and the number of prior vaccine doses. Among 48 210 employees, COVID-19 occurred in 2462 (5.1%) during the 17 weeks of observation. In multivariable analysis, the 2023-2024 formula vaccinated state was associated with a significantly lower risk of COVID-19 before the JN.1 lineage became dominant (hazard ratio = .58; 95% confidence interval [CI] = .49-.68; P < .001), and lower risk but one that did not reach statistical significance after (hazard ratio = .81; 95% CI = .65-1.01; P = .06). Estimated vaccine effectiveness was 42% (95% CI = 32-51) before the JN.1 lineage became dominant, and 19% (95% CI = -1-35) after. Risk of COVID-19 was lower among those previously infected with an XBB or more recent lineage and increased with the number of vaccine doses previously received. The 2023-2024 formula COVID-19 vaccine given to working-aged adults afforded modest protection overall against COVID-19 before the JN.1 lineage became dominant, and less protection after.

Dietary mineral intakes predict Coronavirus-disease 2019 (COVID-19) incidence and hospitalization in older adults

BackgroundThe aim of this study was to determine the association between dietary mineral intake and Coronavirus-disease 2019 (COVID-19) infection and its associated hospitalization.MethodsThis cohort study utilized the MASHAD study population, which comprised individuals aged 35–65. Upon recruitment in 2007, dietary intake was documented using a validated 65-item food frequency questionnaire (FFQ). Data on COVID-19 PCR test results was collected from all relevant medical centers in Mashhad between February 2020 and June 2022. The regression model included dietary minerals and employed the backward variable selection method, along with advanced data analysis techniques.ResultsThe final analysis involved 1957 participants, including 193 COVID-19-positive patients. The mean age was 49.71 and 50.28 years in the COVID-19-positive and negative groups, respectively (p = 0.12). Dietary intakes of magnesium, iron, and potassium were notably lower in COVID-19-positive patients (P < 0.05). Following adjustments for age and sex, dietary iron remained significantly associated with COVID-19 incidence (OR = 0.94, 95% CI: 0.90–0.98). Furthermore, a statistically significant relationship was observed between dietary zinc and hospitalization due to COVID-19 (OR = 0.69, 95% CI: 0.51–0.93). In dynamical system models, intakes of calcium, zinc, and iron below the cut-offs of 1138, 9.7, and 8.17 mg/day, respectively, were linked to an increased risk of COVID-19 incidence.ConclusionHigher dietary iron and zinc intake are associated with decreased risk of COVID-19 infection and hospitalization, respectively.

Prevalence and determinants to COVID-19 vaccine hesitancy among people living with HIV in Bench Sheko zone, Southwest Ethiopia: A multi-center study

IntroductionIn 2019, the World Health Organization (WHO) identified coronavirus disease-2019 (COVID-19) as one of the top 10 threats to global health. Currently, vaccine hesitancy is the most common obstacle to reducing COVID-19 incidence and achieving herd immunity worldwide. Understanding the factors influencing vaccine hesitancy in this specific population is crucial for developing targeted interventions to improve vaccine uptake and protect vulnerable communities. Therefore, this study aimed to evaluate the prevalence and determinants of COVID-19 vaccine hesitancy among people living with human immunodeficiency virus (HIV) who receive care at public health facilities in Bench Sheko Zone, Southwest Ethiopia. MethodsA multi-center study was employed, involving multiple healthcare facilities within the Bench Sheko Zone from January 1 to 30 February 2023 to assess the prevalence and determinants of hesitancy to COVID-19 vaccination among people living with human deficiency virus (PLHIV). Data were collected by using pre-tested interviewer administered questionnaires and document review, and entered into Epi-data version 3.1 then exported to and analyzed by using SPSS version 24. Statistical significance was assessed by using multivariable logistic regression analysis by determining odds ratios and 95% confidence interval. Multi-Collinearity and model fitness were also checked. ResultsAccording to the study, the prevalence of COVID-19 vaccine hesitancy was found to be 47.9%, [95% CI, 43.8–52.0]. One significant finding was that younger individuals (age ≤25years) [AOR = 2.30, 95%CI, 1.15–4.57] exhibited a higher level of hesitancy compared to their older counterparts. Additionally, the study identified monthly income≤3000 birr [AOR = 0.57, 95%CI, 0.31–0.92], urban residence [AOR = 0.61, 95%CI, 0.42–0.91], HIV stage one [AOR = 0.44, 95%CI, 0.27–0.73] and human immunodeficiency virus (HIV) clinical stage two of HIV [AOR = 0.60, 95CI, 0.39–0.93] as determinants of vaccine hesitancy. ConclusionAccording to our study finding in southwest Ethiopia, individuals living with HIV were found to have a higher level of hesitancy towards receiving the COVID-19 vaccine as compared with center for disease control and prevention estimate of vaccine hesitancy. The study also identified several factors that contribute to vaccine hesitancy, including age, urban of residence, income level, and HIV clinical stage. Addressing the identified factors in this specific population could decrease the hesitancy. To ensure the success of vaccination campaigns in the region, policymakers and stakeholders should take steps to address these underlying factors and promote greater acceptance of the COVID-19 vaccine among the population.