Incidence Of Coronavirus Disease 2019 Research Articles

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.

The evaluation of the correlation between some variables of the countries and COVID-19 incidence of cases and deaths in different variant periods

Objective: The aim of this study is to evaluate the correlation between the incidence case/death rate of coronavirus disease 2019 (COVID-19) and some variables of the countries. Methods: This research is an Ecological study. We analyzed the association of COVID‐19 incidence of cases/deaths with population rates over 65, Gini index, GDP per capita (current US$), burden of disease (DALYs-2019), literacy rate of over 15 years old, Coefficient of Variation (CV) of caloric intake, prevalence of obesity among adults, total COVID-19 vaccine doses administered per 100 people, total test (per 1M). Furthermore, we analyzed the data on COVID-19 incidence of cases/death in the cross-sectionally for three periods: Alpha-Beta-Gamma, Delta and Omicron periods. Spearman correlation test was used for statistical analysis. Results: Positive correlations were found in COVID-19 cumulative incidence of cases/deaths (per 1M), and population rates over 65, GDP (per capita), literacy rate of over 15 years old, prevalence of obesity among adults, total COVID-19 vaccine doses administered per 100 people. On the other hand, negative correlation was found with DALYs, Coefficient of Variation (CV) of caloric intake and Gini index. When the variant periods of COVID-19 were examined respectively (Alpha-Beta-Gamma, Delta and Omicron), the positive correlation and the negative correlation were further increased during the Omicron period. Conclusion: It is recommended to consider the demographic and socioeconomic characteristics of the countries as well as the characteristics of the disease agent for the prevention and control of a possible pandemic in the future.&#x0D; Keywords: COVİD-19, DALYs, aged, obesity, vaccine, correlation study

The Omicron variant of COVID-19 and its association with croup in children: a single-centre study in Hong Kong.

The fifth wave of the coronavirus disease 2019 (COVID-19) pandemic in Hong Kong was dominated by the Omicron variant, which may cause more upper airway involvement in children. This study was performed to identify any associations between the Omicron variant of COVID-19 and croup in children. This retrospective study reviewed the electronic medical records of patients admitted to Tuen Mun Hospital in Hong Kong from 1 January 2018 to 31 March 2022 under the diagnostic code for croup (J05.0 in the International Classification of Diseases 10th Edition). Patients were categorised into three groups according to their admission periods, namely, non-COVID-19, COVID-19-pre-Omicron, and COVID-19-Omicron groups. Disease associations and severity were compared according to incidence, Westley Croup Score, length of hospital stay, medication use, respiratory support, and intensive care unit admissions. The COVID-19 incidence among patients with croup was significantly higher in the COVID-19-Omicron group than in the COVID-19-pre-Omicron group (90.0% vs 2.0%; P<0.001). Compared with patients in the COVID-19-pre-Omicron and non-COVID-19 groups, patients in the COVID-19-Omicron group also had a higher Westley score (moderate and severe disease in the COVID-19-Omicron group: 56.7%; COVID-19-pre-Omicron group: 22.0%, P=0.004; non-COVID-19 group: 24.8%, P<0.001), longer median hospital stay (COVID-19-Omicron group: 3.00 days; COVID-19-pre-Omicron group: 2.00 days, P<0.001; non-COVID-19 group: 2.00 days, P=0.034), and higher mean dexamethasone requirement (COVID-19-Omicron group: 0.78 mg/kg; COVID-19-pre-Omicron group: 0.49 mg/kg, P<0.001; non-COVID-19 group: 0.58 mg/kg, P=0.001). The Omicron variant of COVID-19 is associated with croup and can cause more severe disease in Hong Kong children.

A Novel Framework to Forecast COVID-19 Incidence Based on Google Trends Search Data

The global outbreak of coronavirus disease 2019 (COVID-19) has spread to more than 200 countries worldwide, leading to severe health and socioeconomic consequences. As such, the topic of monitoring and predicting epidemics has been attracting a lot of interest. Previous work reported search volumes from Google Trends are beneficial in decoding influenza dynamics, implying its potential for COVID-19 prediction. Therefore, a predictive model using the Wiener methods was built based on epidemic-related search queries from Google Trends, along with climate variables, aiming to forecast the dynamics of the weekly COVID-19 incidence in Washington, DC, USA. The Wiener model, which shares the merits of interpretability, low computation costs, and adaptation to nonlinear fluctuations, was used in this study. Models with multiple sets of features were constructed and further optimized by the highest weight selecting strategy. Furthermore, comparisons to the other two commonly used prediction models based on the autoregressive integrated moving average (ARIMA) and long short-term memory (LSTM) were also performed. Our results showed the predicted COVID-19 trends significantly correlated with the actual (rho <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$=$</tex-math> </inline-formula> 0.88, <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$p $</tex-math> </inline-formula> <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$&lt;$</tex-math> </inline-formula> 0.0001), outperforming those with ARIMA and LSTM approaches, indicating Google Trends data as a useful tool in terms of COVID-19 prediction. Also, the model using 20 search queries with the highest weighting outperformed all other models, supporting the highest weight feature selection as a feasible criterion. Google Trends search query data can be used to forecast the outbreak of COVID-19, which might assist health policymakers to allocate health care resources and taking preventive strategies.

Going Forward: Potential Impact of Protein-Based COVID-19 Vaccination Coverage on Population Outcomes and Costs in the United States.

Policymakers in the United States (US) recommend coronavirus disease 2019 (COVID-19) vaccination with a monovalent 2023-2024 vaccine formulation based on the Omicron XBB.1.5 variant. We estimated the potential US population-level health and economic impacts of increased COVID-19 vaccine coverage that might be expected with the availability of a protein-based vaccine with simpler storage requirements in addition to messenger ribonucleic acid (mRNA) vaccines. A Markov model was developed to estimate 1-year COVID-19-related costs, cases, hospitalizations, and deaths with and without the availability of a protein-based vaccine option. The model population was stratified by age and risk status. Model inputs were sourced from published literature or derived from publicly available data. Our model estimated that a five-percentage-point increase in coverage due to the availability of a protein-based vaccine option would prevent over 500,000 cases, 66,000 hospitalizations, and 3000 COVID-19-related deaths. These clinical outcomes translated to 42,000 quality-adjusted life years (QALYs) gained and an incremental cost-effectiveness ratio of USD 16,141/QALY from a third-party payer perspective. In sensitivity analyses, outcomes were most sensitive to COVID-19 incidence and severity across age groups. The availability of a protein-based vaccine option in the US could reduce hospitalizations and deaths and is predicted to be cost-effective.

Asian flush is a potential protective factor against COVID-19: a web-based retrospective survey in Japan.

Coronavirus disease 2019 (COVID-19), first reported in December 2019, spread worldwide in a short period, resulting in numerous cases and associated deaths; however, the toll was relatively low in East Asia. A genetic polymorphism unique to East Asians, Aldehyde dehydrogenase 2 rs671, has been reported to confer protection against infections. We retrospectively investigated the association between the surrogate marker of the rs671 variant, the skin flushing phenomenon after alcohol consumption, and the timing of COVID-19 incidence using a web-based survey tool to test any protective effects of rs671 against COVID-19. A total of 807 valid responses were received from 362 non-flushers and 445 flushers. During the 42 months, from 12/1/2019 to 5/31/2023, 40.6% of non-flushers and 35.7% of flushers experienced COVID-19. Flushers tended to have a later onset (Spearman's partial rank correlation test, p = 0.057, adjusted for sex and age). Similarly, 2.5% of non-flushers and 0.5% of flushers were hospitalized because of COVID-19. Survival analysis estimated lower risks of COVID-19 and associated hospitalization among flushers (p = 0.03 and <0.01, respectively; generalized Wilcoxon test). With the Cox proportional hazards model covering 21 months till 8/31/2021, when approximately half of the Japanese population had received two doses of COVID-19 vaccine, the hazard ratio (95% confidence interval) of COVID-19 incidence was estimated to be 0.21 (0.10-0.46) for flusher versus non-flusher, with adjustment for sex, age, steroid use, and area of residence. Our study suggests an association between the flushing phenomenon after drinking and a decreased risk of COVID-19 morbidity and hospitalization, suggesting that the rs671 variant is a protective factor. This study provides valuable information for infection control and helps understand the unique constitutional diversity of East Asians.

Does denosumab exert a protective effect against COVID-19? Results of a large cohort study.

Denosumab is a monoclonal antibody blocking the receptor activator of nuclear factor kappa-B/receptor activator of nuclear factor kappa-B ligand (RANK/RANKL) pathway, thus inhibiting osteoclastogenesis. Since RANK and RANKL are also involved in the immune system activation, denosumab might interfere with the response against infections. Our study aimed to explore the relationship between denosumab treatment and coronavirus disease 2019 (COVID-19). The occurrence and severity of COVID-19 were recorded in consecutive patients referred to the Endocrinology Department of Papa Giovanni XXIII Hospital, Bergamo, from 1 January 2020 to 1 January 2021. Patients treated with denosumab were compared to outpatient controls. Patients' features were summarized by descriptive statistics. Multivariate logistic regression assessed the relationship between denosumab and COVID-19, adjusting for potential confounders. Subgroup analyses according to age, sex, body mass index (BMI), smoking status, and vitamin D levels were performed. The final population included 331 patients treated with denosumab and 357 controls. COVID-19 incidence was lower in the denosumab group (7.6% vs. 14.6%, p = 0.004). COVID-19 severity was similar in both groups. Multiple logistic regression confirmed an association between denosumab and a reduced occurrence of symptomatic COVID-19 [odds ratio (OR) 0.46, 95% CI 0.21-0.98, p = 0.049]. Subgroup analyses suggested a potential protective effect of denosumab in patients over 75 years (OR 0.12, 95% CI 0.02-0.6, p = 0.011), with a significant interaction between denosumab and age categories (p = 0.047). Our study confirms that denosumab may be safely continued in COVID-19 patients. RANK/RANKL inhibition seems associated with a reduced incidence of symptomatic COVID-19, particularly among the elderly.

Seasonality of COVID-19 incidence in the United States.

The surges of Coronavirus Disease 2019 (COVID-19) appeared to follow a repeating pattern of COVID-19 outbreaks regardless of social distancing, mask mandates, and vaccination campaigns. This study aimed to investigate the seasonality of COVID-19 incidence in the United States of America (USA), and to delineate the dominant frequencies of the periodic patterns of the disease. We characterized periodicity in COVID-19 incidences over the first three full seasonal years (March 2020 to March 2023) of the COVID-19 pandemic in the USA. We utilized a spectral analysis approach to find the naturally occurring dominant frequencies of oscillation in the incidence data using a Fast Fourier Transform (FFT) algorithm. Our study revealed four dominant peaks in the periodogram: the two most dominant peaks show a period of oscillation of 366 days and 146.4 days, while two smaller peaks indicate periods of 183 days and 122 days. The period of 366 days indicates that there is a single COVID-19 outbreak that occurs approximately once every year, which correlates with the dominant outbreak in the early/mid-winter months. The period of 146.4 days indicates approximately 3 peaks per year and matches well with each of the 3 annual outbreaks per year. Our study revealed the predictable seasonality of COVID-19 outbreaks, which will guide public health preventative efforts to control future outbreaks. However, the methods used in this study cannot predict the amplitudes of the incidences in each outbreak: a multifactorial problem that involves complex environmental, social, and viral strain variables.

Risk of Coronavirus Disease 2019 (COVID-19) among those up-to-date and not up-to-date on COVID-19 vaccination by US CDC criteria.

The CDC recently defined being "up-to-date" on COVID-19 vaccination as having received at least one dose of a COVID-19 bivalent vaccine. The purpose of this study was to compare the risk of COVID-19 among those "up-to-date" and "not up-to-date". Employees of Cleveland Clinic in Ohio, USA, in employment when the COVID-19 bivalent vaccine first became available, and still employed when the XBB lineages became dominant, were included. Cumulative incidence of COVID-19 since the XBB lineages became dominant was compared across the"up-to-date" and "not up-to-date" states, by treating COVID-19 bivalent vaccination as a time-dependent covariate whose value changed on receipt of the vaccine. Risk of COVID-19 by vaccination status was also evaluated using multivariable Cox proportional hazards regression adjusting for propensity to get tested for COVID-19, age, sex, most recent prior SARS-CoV-2 infection, and number of prior vaccine doses. COVID-19 occurred in 1475 (3%) of 48 344 employees during the 100-day study period. The cumulative incidence of COVID-19 was lower in the "not up-to-date" than the "up-to-date" state. On multivariable analysis, being "up-to-date" was not associated with lower risk of COVID-19 (HR, 1.05; 95% C.I., 0.88-1.25; P-value, 0.58). Results were very similar when those 65 years and older were only considered "up-to-date" after 2 doses of the bivalent vaccine. Since the XBB lineages became dominant, adults "up-to-date" on COVID-19 vaccination by the CDC definition do not have a lower risk of COVID-19 than those "not up-to-date", bringing into question the value of this risk classification definition.

Short-term SARS-CoV-2 Re-infection Rate in Vaccinated Health Workers based on Received Vaccines: A Cross-sectional Study

Background: Vaccines during the Coronavirus disease 2019 (COVID-19) pandemic entered the market faster than a routine proportionate evaluation cycle. The highest number of deaths and morbidities, especially by the type of B.1.617.2 (Delta) variant, is one of the reasons for this inevitability. Accordingly, evaluation of the effects of vaccines is of great importance Methods: In this cross-sectional study, we investigated the effects of four current COVID-19 vaccines, such as AstraZeneca, Sputnik, Sinopharm, and Bharat, and the prevalence of COVID-19 occurrence among 600 vaccinated healthcare workers (HCWs) in the Southeast of Iran. Results: The incidence of infection among vaccinated HCWs was 36.3%, without any age and gender difference, statistically. The infection rate with severe acute respiratory syndrome coronavirus- 2 (SARS-CoV-2) following immunization with AstraZeneca, Sputnik V, Bharat, and Sinopharm vaccines were 45.8%, 41.3%, 36.9%, and 18.6%, respectively (P.V=0.001). Those who had a history of previous SARS-CoV-2 infection were more affected again despite vaccination (P.V=0.001). However, out of 218 infected patients, only six patients (2.8%) were hospitalized, while 26 patients (11.9%) received remdesivir and two patients (0.9%) needed to additional target therapy with Iinterleukin-6 inhibitor of Tocilizumab due to cytokine storm. Conclusion: During B.1.617.2 circulating variant, all vaccines after a complete vaccination schedule were relatively associated with protection against severe infection and hospitalization. We found that people who received the Sinopharm vaccine had the lowest incidence of COVID-19 (18.7%), followed by Bharat. The lowest incidence of protection occurred with viral vector-based vaccines, especially AstraZeneca.

The association between macronutrient intakes and coronavirus disease 2019 (COVID-19) in an Iranian population: applying a dynamical system model

AimsThe possible role of lifestyle including diet on immunity led us to investigate the association between dietary macronutrient intake and COVID-19 in an Iranian population.MethodsDietary intakes were recorded in the first phase of the MASHAD cohort study (started in 2007), using a 24-h dietary recall. To determine the COVID-19 incidence, data from all PCR-positive patients in Mashhad were recorded between February 2020 and June 2022. Dietary macronutrients were included in the regression model, adjusting for age and sex. System dynamical models were also applied.ResultsThe analysis included 1957 participants, including 193 COVID-19-positive patients. Dietary intakes of non-starch polysaccharides (NSP) and fiber were significantly lower in COVID-19 patients (P < 0.05). After adjusting for age and sex, starch and total sugar were significantly associated with COVID-19 infection ((OR = 1.0008, P = 0.001) and (OR = 1.0006, P = 0.026), respectively). There was also a significant association between dietary fiber intake and hospitalization (OR = 0.99, P = 0.018). In the dynamical system models, dietary intakes of cholesterol, polyunsaturated fatty acids (PUFA), and total sugar above 180.2 mg, 13.11 g, and 79.53 mg, respectively, were associated with an increased susceptibility to COVID-19 infection, while dietary fiber had a protective role.ConclusionDietary intake of starch and total sugars was associated with increased odds of COVID-19, while fiber intake decreased the odds of hospitalization due to COVID-19. The dynamical system models showed that dietary intake of cholesterol, PUFAs, and total sugar was associated with an increased risk of COVID-19, while fiber had a protective role.

Ethical and coordinative challenges in setting up a national cohort study during the COVID-19 pandemic in Germany

With the outbreak of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), global researchers were confronted with major challenges. The German National Pandemic Cohort Network (NAPKON) was launched in fall 2020 to effectively leverage resources and bundle research activities in the fight against the coronavirus disease 2019 (COVID-19) pandemic. We analyzed the setup phase of NAPKON as an example for multicenter studies in Germany, highlighting challenges and optimization potential in connecting 59 university and nonuniversity study sites. We examined the ethics application process of 121 ethics submissions considering durations, annotations, and outcomes. Study site activation and recruitment processes were investigated and related to the incidence of SARS-CoV-2 infections. For all initial ethics applications, the median time to a positive ethics vote was less than two weeks and 30 of these study sites (65%) joined NAPKON within less than three weeks each. Electronic instead of postal ethics submission (9.5 days (Q1: 5.75, Q3: 17) vs. 14 days (Q1: 11, Q3: 26), p value = 0.01) and adoption of the primary ethics vote significantly accelerated the ethics application process. Each study center enrolled a median of 37 patients during the 14-month observation period, with large differences depending on the health sector. We found a positive correlation between recruitment performance and COVID-19 incidence as well as hospitalization incidence. Our analysis highlighted the challenges and opportunities of the federated system in Germany. Digital ethics application tools, adoption of a primary ethics vote and standardized formal requirements lead to harmonized and thus faster study initiation processes during a pandemic.

Analysis of Concentrated COVID-19 Outbreaks in Elderly Facilities in Suita City, Osaka Prefecture, Japan.

There are several types of facilities for elderly individuals in Japan. Infection control efforts, such as care provision and medical care access, differ according to the type of facility. Elderly individuals at these facilities who were infected with coronavirus disease 2019 (COVID-19) experienced severe illness and mortality. This study aimed to determine the characteristics of concentrated COVID-19 outbreaks that occurred in nursing homes and care facilities in Suita City. During this study, twenty-five elderly facilities in Suita City with a capacity of 40 or more individuals where an outbreak occurred during the sixth or seventh wave of infection were included. We investigated whether there was a difference in the COVID-19 incidence and the percentage of positive cases according to the type of facility. We also investigated the relationship between the facility capacity and positive case rate and that between the number of positive cases and outbreak duration. The incidence rate of COVID-19 was significantly different according to the facility type (p < 0.001). No association was found between the facility capacity and positive case rate. The outbreak duration increased as the number of positive cases increased (p = 0.004).

Describing the monthly variability of hospital-onset Clostridioides difficile during early coronavirus disease 2019 (COVID-19) using electronic health record data.

To assess the relative risk of hospital-onset Clostridioides difficile (HO-CDI) during each month of the early coronavirus disease 2019 (COVID-19) pandemic and to compare it with historical expectation based on patient characteristics. This study used a retrospective cohort design. We collected secondary data from the institution's electronic health record (EHR). The Ohio State University Wexner Medical Center, Ohio, a large tertiary healthcare system in the Midwest. All adult patients admitted to the inpatient setting between January 2018 and May 2021 were eligible for the study. Prisoners, children, individuals presenting with Clostridioides difficile on admission, and patients with <4 days of inpatient stay were excluded from the study. After controlling for patient characteristics, the observed numbers of HO-CDI cases were not significantly different than expected. However, during 3 months of the pandemic period, the observed numbers of cases were significantly different from what would be expected based on patient characteristics. Of these 3 months, 2 months had more cases than expected and 1 month had fewer. Variations in HO-CDI incidence seemed to trend with COVID-19 incidence but were not fully explained by our case mix. Other factors contributing to the variability in HO-CDI incidence beyond listed patient characteristics need to be explored.

The geographical distribution and socioeconomic risk factors of COVID-19, tuberculosis and leprosy in Fortaleza, Brazil

BackgroundFortaleza (Brazil) is high endemic for coronavirus disease 2019 (COVID-19), tuberculosis (TB) and leprosy. These three diseases share respiratory droplets through coughing or sneezing as the main mode of transmission but differ in incubation time, with COVID-19 having a short and leprosy a long incubation time. Consequently, contacts of a patient are at higher risk of infection and developing these diseases. There might be scope for combined preventive measures, but a better understanding of the geographical distribution and relevant socioeconomic risk factors of the three diseases is needed first. This study aims to describe the geographic distribution of COVID-19, TB and leprosy incidence and to identify common socioeconomic risk factors.MethodsThe total number of new cases of COVID-19, TB and leprosy, as well as socioeconomic and demographic variables, were retrieved from official registers. The geographical distribution of COVID-19, TB and leprosy rates per neighbourhood was visualised in Quantum GIS, and spatial autocorrelation was measured with Moran’s I in GeoDa. A spatial regression model was applied to understand the association between COVID-19, TB, leprosy rates, and socioeconomic factors.ResultsCOVID-19 and TB showed a more homogenous distribution, whereas leprosy is located more in the south and west of Fortaleza. One neighbourhood (Pedras) in the southeast was identified as high endemic for all three diseases. Literacy was a socioeconomic risk factor for all three diseases: a high literacy rate increases the risk of COVID-19, and a low literacy rate (i.e., illiteracy) increases the risk of TB and leprosy. In addition, high income was associated with COVID-19, while low income with TB.ConclusionsDespite the similar mode of transmission, COVID-19, TB and leprosy show a different distribution of cases in Fortaleza. In addition, associated risk factors are related to wealth in COVID-19 and to poverty in TB and leprosy. These findings may support policymakers in developing (partially combined) primary and secondary prevention considering the efficient use of resources.

COVID-19 incidence and outcomes among patients with kidney replacement therapy.

We aimed to investigate the incidence, fatality, and associated factors in patients with hemodialysis (HD), peritoneal dialysis (PD), and kidney transplantation (KT) hospitalized for coronavirus disease 2019 (COVID-19) infection and reimbursed from the National Health Security Office (NHSO). The retrospective cohort analysis was conducted from an electronic-claimed database, and COVID-19 vaccination status was evaluated in patients with HD, PD, and KT from January 2020 to December 2021. There were 85,305 patients reimbursed for HD, PD, and KT by the NHSO. The rates of COVID-19 infection, COVID-19 vaccination, comorbidities, fatalities, and the cost of treatment were evaluated. COVID-19 infection was observed in 1,799 of 36,982 HD cases (4.9%), 1,531 of 45,453 PD cases (3.4%), and 95 of 2,870 KT cases (3.3%). Patients receiving COVID-19 vaccinations were most common in the KT group, followed by those with HD and PD (76.93% vs. 70.65% vs. 51.34%, respectively). KT patients had a lower fatality rate compared to those with PD and HD (8.42% vs. 18.41% vs. 21.40%, respectively). Advanced age, diabetes, cardiovascular diseases, and COVID-19 vaccination status were associated with fatality. The adjusted odds ratios of fatality after receiving one or two doses of vaccines were 0.7 (95% confidence interval [CI], 0.6-0.9) and 0.3 (95% CI, 0.2-0.4), respectively. The cost of treatment was highest in patients with HD, followed by PD and KT. The incidence of COVID-19 infection was higher in patients with HD than in those with PD or KT. COVID-19 vaccination following the national health policy should be encouraged for these patients to prevent fatality.

Pre-exposure prophylaxis with tixagevimab/cilgavimab for coronavirus disease 2019 (COVID-19) during the Omicron BA.5 wave at a single institution in Japan.

Pre-exposure prophylaxis with tixagevimab/cilgavimab was considered a useful strategy to protect immunocompromised patients from COVID-19 based on the phase 3 PROVENT trial conducted between November 2020 and March 2021. However, after late 2021, the dominant substrains of COVID-19 changed to Omicron substrains, which showed resistance to tixagevimab/cilgavimab. Therefore, it is important to re-evaluate the real-world efficacy of tixagevimab/cilgavimab for the prevention of COVID-19 in the Omicron era. To this end, we retrospectively evaluated the efficacy and safety of tixagevimab/cilgavimab prophylaxis for COVID-19 during the Omicron BA.5 wave in Japan. A total of 240 consecutive patients with hematologic malignancies received tixagevimab/cilgavimab at our institution from October 18, 2022, to January 31, 2023. Among them, the cumulative incidence of COVID-19 at 90days was 6.4%. A total of 10/14 (71.4%) had mild infection, and 4/14 (28.5%) had severe infection. No patient died due to COVID-19. Adverse events consisted of deep vein thrombosis in 2 patients. Our analysis indicated that pre-exposure prophylaxis with tixagevimab/cilgavimab might have clinical effectiveness in reducing the severity of COVID-19 in Japanese HM patients, even in the Omicron BA.5 surge. It also suggested that tixagevimab/cilgavimab may be associated with cardiovascular complications.

The IMPACT of the COVID-19 Pandemic on Prescription Drug Use in Patients with Psoriasis Vulgaris in Germany.

Real-world evidence (RWE) data is increasingly important to generate rapid insights to effectively manage patient populations. Disruptions like the coronavirus disease 2019 (COVID-19) pandemic may negatively impact the choice of medications used for managing chronic diseases such as psoriasis (PSO). Here, we explored the effect of the COVID-19 pandemic on the sales volumes of treatment guideline-based PSO medication in Germany. Patient-level pharmacy dispensing data from the Permea platform, covering approximately 44% of all community pharmacy dispensing in Germany, were analysed from 2019 through to 2021. Patient demographics and PSO indicated medication sales were assessed specifically before and during the pandemic in Germany. We included 6,865,852 sold PSO related drugs from April 2019 to March 2021. Medication sales increased during the pandemic compared with before the pandemic for treatment classes of first-line biological and second-line drugs. The increase was observed across all age groups, but monthly variations could not be detected. Furthermore, we observed increased sales in first-line biological and second-line medications when comparing low to high COVID-19 incidence state. Throughout the COVID-19 pandemic the PSO indicated medication sales increased for first-line biological and second-line treatment. This shows that despite the pandemic impact, there continues to be an increase in sales volume for biologics. Only German federal states with intermittently very high COVID-19 incidences show a stagnation in sales volume. The reasons for this need to be investigated in further studies to possibly gain a better understanding of the concerns and uncertainties of patients with PSO.

Risk factors of COVID-19 incidence in Bantul Regency, Indonesia

Coronavirus disease 2019 (COVID-19) was a public health problem in Indonesia. The highest number of COVID-19 cases in Special Region of Yogyakarta in 2021 was in Bantul Regency. The epidemiological description based on the person, place, time, and risk factors for COVID-19 in Bantul Regency in 2021 has yet to be described. This study aimed to determine risk factors, person, place, and time characteristics associated with the incidence of COVID-19 in the Bantul Regency in 2021. This study employed a cross-sectional design with secondary data on COVID-19 cases in Bantul Regency in 2021. Furthermore, 80,322 samples were analyzed and confirmed COVID-19 was 53,506 cases (66.61%). The case fatality rate was 2.72%. The highest age positive for COVID-19 is &amp;lt;65 years (92.31%), 53.83% of cases were female, and the district of Banguntapan with the highest rate of COVID-19 (15.11%). The peak of cases occurred in July, 2021. There is a relationship between close contact, travel history, age, and gender with the incidence of COVID-19 (p&amp;lt;0.001). The most significant risk factors were close contact (OR=8.657), travel history (OR=3.034), gender (OR=1.147), and age (OR=0.889). Close contact has the most significant association with the incidence of COVID-19, followed by travel history and gender.