High Incidence Of COVID-19 Research Articles

314.1: Response to a Pandemic: The Fall and Rise of Kidney Transplantation in the United States

Background: Following the outbreak of COVID-19 in the United States, the number of kidney waitlist additions and living-donor and deceased-donor kidney transplants (LDKT/DDKT) decreased substantially but began recovering within a few months. Since then, there have been several additional waves of infection, most notably, the Delta and current Omicron surge beginning in August and December 2021, respectively. By 1/12/2022, the Omicron surge peaked at 802,699 confirmed new cases, compared to a pre-Omicron peak of 251,772 confirmed new cases on 1/8/2021, demonstrating an immense disease burden on the American population that could have been enough to disrupt transplant practices. Methods: Using data from the Scientific Registry of Transplant Recipients (SRTR), we compared observed waitlist registrations, waitlist mortality, waitlist removal, LDKT, and DDKT in the United States over four distinct pandemic waves to expected events based on calculations from pre-epidemic and non-wave pandemic data, while accounting for seasonality and secular trends. Four distinct time periods/waves of high COVID-19 incidence in the United States were identified for analysis. Wave 1 was defined March 15, 2020 – May 31, 2020; Wave 2 was defined December 1, 2020 – January 31, 2021; Wave 3 was defined August 1, 2021 – September 30, 2021; and Wave 4 was defined December 1, 2021 – January 31, 2022. Waves 1, 2, 3, and 4 were referred to as the Initial, Winter 2021, Delta, and Omicron waves during our analysis. Results: Although the number of daily waitlist additions has been increasing since May 2020, the size of the active waitlist has consistently declined, reaching a minimum of 53,180 on 1/31/2022. The recent Omicron surge knocked LDKT from 12% below expected (IRR = 0.820.880.95) during the Delta wave to 34% below expected (IRR = 0.610.660.71). DDKT, in contrast, was relatively unaffected by the Omicron wave (IRR = 0.830.870.91 and 0.820.850.89 during the Delta and Omicron waves, respectively). Waitlist death declined from 20% above expected (IRR = 1.111.201.30) during Delta to 19% below expected (IRR = 0.740.810.89) during Omicron, whereas waitlist removal remained at expected levels throughout both (IRR = 0.951.041.13 and 0.991.081.18 during Delta and Omicron, respectively). Note, this was the first time that an outcome returned to expected levels since the start of the pandemic. Conclusions: The Omicron wave brought substantial declines in DDKT and LDKT that have not been seen since the Initial wave. Due to vaccine mandates in place at many transplant centers across the nation, the American SRTR population now has high levels of vaccination including high levels of second and third booster shots. Hence, despite the Omicron wave’s exceptionally high COVID-19 infection incidence in the American national cohort, there was no increase in waitlist mortality, likely due to vaccination.Ben-Dov family. K24AI144954 from National Institute of Allergy and Infectious Diseases (NIAID). K01DK101677 from National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK).

College openings in the United States increase mobility and COVID-19 incidence.

School and college reopening-closure policies are considered one of the most promising non-pharmaceutical interventions for mitigating infectious diseases. Nonetheless, the effectiveness of these policies is still debated, largely due to the lack of empirical evidence on behavior during implementation. We examined U.S. college reopenings' association with changes in human mobility within campuses and in COVID-19 incidence in the counties of the campuses over a twenty-week period around college reopenings in the Fall of 2020. We used an integrative framework, with a difference-in-differences design comparing areas with a college campus, before and after reopening, to areas without a campus and a Bayesian approach to estimate the daily reproductive number (Rt). We found that college reopenings were associated with increased campus mobility, and increased COVID-19 incidence by 4.9 cases per 100,000 (95% confidence interval [CI]: 2.9-6.9), or a 37% increase relative to the pre-period mean. This reflected our estimate of increased transmission locally after reopening. A greater increase in county COVID-19 incidence resulted from campuses that drew students from counties with high COVID-19 incidence in the weeks before reopening (χ2(2) = 8.9, p = 0.012) and those with a greater share of college students, relative to population (χ2(2) = 98.83, p < 0.001). Even by Fall of 2022, large shares of populations remained unvaccinated, increasing the relevance of understanding non-pharmaceutical decisions over an extended period of a pandemic. Our study sheds light on movement and social mixing patterns during the closure-reopening of colleges during a public health threat, and offers strategic instruments for benefit-cost analyses of school reopening/closure policies.

Temporal Dynamics of Socioeconomic Inequalities in COVID-19 Outcomes Over the Course of the Pandemic-A Scoping Review.

Objectives: International evidence of socioeconomic inequalities in COVID-19 outcomes is extensive and growing, but less is known about the temporal dynamics of these inequalities over the course of the pandemic. Methods: We systematically searched the Embase and Scopus databases. Additionally, several relevant journals and the reference lists of all included articles were hand-searched. This study follows the PRISMA guidelines for scoping reviews. Results: Forty-six studies were included. Of all analyses, 91.4% showed stable or increasing socioeconomic inequalities in COVID-19 outcomes over the course of the pandemic, with socioeconomically disadvantaged populations being most affected. Furthermore, the study results showed temporal dynamics in socioeconomic inequalities in COVID-19, frequently initiated through higher COVID-19 incidence and mortality rates in better-off populations and subsequent crossover dynamics to higher rates in socioeconomically disadvantaged populations (41.9% of all analyses). Conclusion: The identified temporal dynamics of socioeconomic inequalities in COVID-19 outcomes have relevant public health implications. Socioeconomic inequalities should be monitored over time to enable the adaption of prevention and interventions according to the social particularities of specific pandemic phases.

Recent malaria does not substantially impact COVID-19 antibody response or rates of symptomatic illness in communities with high malaria and COVID-19 transmission in Mali, West Africa.

Malaria has been hypothesized as a factor that may have reduced the severity of the COVID-19 pandemic in sub-Saharan Africa. To evaluate the effect of recent malaria on COVID-19 we assessed a subgroup of individuals participating in a longitudinal cohort COVID-19 serosurvey that were also undergoing intensive malaria monitoring as part of antimalarial vaccine trials during the 2020 transmission season in Mali. These communities experienced a high incidence of primarily asymptomatic or mild COVID-19 during 2020 and 2021. In 1314 individuals, 711 were parasitemic during the 2020 malaria transmission season; 442 were symptomatic with clinical malaria and 269 had asymptomatic infection. Presence of parasitemia was not associated with new COVID-19 seroconversion (29.7% (211/711) vs. 30.0% (181/603), p=0.9038) or with rates of reported symptomatic seroconversion during the malaria transmission season. In the subsequent dry season, prior parasitemia was not associated with new COVID-19 seroconversion (30.2% (133/441) vs. 31.2% (108/346), p=0.7499), with symptomatic seroconversion, or with reversion from seropositive to seronegative (prior parasitemia: 36.2% (64/177) vs. no parasitemia: 30.1% (37/119), p=0.3842). After excluding participants with asymptomatic infection, clinical malaria was also not associated with COVID-19 serostatus or symptomatic seroconversion when compared to participants with no parasitemia during the monitoring period. In communities with intense seasonal malaria and a high incidence of asymptomatic or mild COVID-19, we did not demonstrate a relationship between recent malaria and subsequent response to COVID-19. Lifetime exposure, rather than recent infection, may be responsible for any effect of malaria on COVID-19 severity.

The Impact of COVID-19 Restrictions on Online Sales of HIV Self-Test Kits and Implications for HIV Prevention: Analysis of Transaction Data from a Leading E-commerce Platform in China.

The effect of the COVID-19 epidemic on HIV self-testing (HIVST) remains unclear. We aimed to quantify the impact of COVID restrictions on HIVST kit purchasing behaviors in mainland China. Deidentified transaction data were retrieved from a large online shopping platform. An interrupted time series model was constructed to examine the impact of COVID restrictions on the weekly number of anonymous customers purchasing HIVST kits, online orders, and purchased kits. A total of 2.32 million individuals submitted 4.46 million orders for 4.84 million HIVST kits between January 7, 2016, and April 22, 2020. Compared with expected levels, assuming COVID-19 epidemic and related restrictions had not happened, the number of purchasers, orders, and kits decreased by an estimated 10,500 (51.7%), 18,000 (55.3%), and 18,500 (54.9%) in the first week (January 23, 2020, to January 29, 2020) after COVID restrictions were implemented, respectively. As restrictions eased, the number of purchasers, orders, and kits increased by an average of 7.4%, 4.8%, and 4.9% per week, respectively. In the first week after COVID restrictions were lifted (April 9, 2020, to April 15, 2020), the number of purchasers returned to expected levels, whereas the number of orders and kits were still lower than expected levels. The impact of COVID restrictions on outcomes at the beginning of COVID restrictions and the increasing trends of outcomes were larger among those living in regions with higher COVID-19 incidence (eg, Wuhan city and Hubei province). Online sales of HIVST kits were significantly impacted by COVID restrictions, and HIVST kit purchasing patterns returned to expected levels after restrictions were lifted.

Longitudinal changes in depression and anxiety during COVID-19 crisis in Uruguay.

Longitudinal studies have reported decreased mental health symptoms throughout the COVID-19 crisis, while others have found improvements or no changes across time. However, most research was carried out in developed countries, with a high incidence of COVID-19 and, in several cases, mandatory lockdowns. Considering that Uruguay (a developing country) had a low COVID-19 incidence at the moment of this study and has implemented a mild lockdown, we aimed to evaluate the effect of time and mobility (using Google mobility data) on symptoms of anxiety and depression. A longitudinal panel study with six repeated measures was carried out to evaluate depressive (BDI-II) and anxiety (STAI-S) symptoms during the pandemic. A decline in symptoms of anxiety and depression was found across time. Interestingly, this effect was modulated by age; a greater difference in the symptomatology between age groups was found at the beginning of the measurements than at the end, with the youngest reporting the most severe symptoms. Finally, we found that depressive symptoms decreased as mobility increased. Overall, our findings indicate an improvement in mental health as quarantine passed and mobility increased but following a different pattern depending on age. Monitoring these trajectories is imperative moving forward, especially in vulnerable groups.Supplementary InformationThe online version contains supplementary material available at 10.1007/s12144-022-03460-w.

Serological testing of blood donors to characterise the impact of COVID-19 in Melbourne, Australia, 2020.

Rapidly identifying and isolating people with acute SARS-CoV-2 infection has been a core strategy to contain COVID-19 in Australia, but a proportion of infections go undetected. We estimated SARS-CoV-2 specific antibody prevalence (seroprevalence) among blood donors in metropolitan Melbourne following a COVID-19 outbreak in the city between June and September 2020. The aim was to determine the extent of infection spread and whether seroprevalence varied demographically in proportion to reported cases of infection. The design involved stratified sampling of residual specimens from blood donors (aged 20-69 years) in three postcode groups defined by low (<3 cases/1,000 population), medium (3-7 cases/1,000 population) and high (>7 cases/1,000 population) COVID-19 incidence based on case notification data. All specimens were tested using the Wantai SARS-CoV-2 total antibody assay. Seroprevalence was estimated with adjustment for test sensitivity and specificity for the Melbourne metropolitan blood donor and residential populations, using multilevel regression and poststratification. Overall, 4,799 specimens were collected between 23 November and 17 December 2020. Seroprevalence for blood donors was 0.87% (90% credible interval: 0.25-1.49%). The highest estimates, of 1.13% (0.25-2.15%) and 1.11% (0.28-1.95%), respectively, were observed among donors living in the lowest socioeconomic areas (Quintiles 1 and 2) and lowest at 0.69% (0.14-1.39%) among donors living in the highest socioeconomic areas (Quintile 5). When extrapolated to the Melbourne residential population, overall seroprevalence was 0.90% (0.26-1.51%), with estimates by demography groups similar to those for the blood donors. The results suggest a lack of extensive community transmission and good COVID-19 case ascertainment based on routine testing during Victoria's second epidemic wave. Residual blood donor samples provide a practical epidemiological tool for estimating seroprevalence and information on population patterns of infection, against which the effectiveness of ongoing responses to the pandemic can be assessed.

Spatial clusters, social determinants of health and risk of COVID-19 mortality in Brazilian children and adolescents: A nationwide population-based ecological study

BackgroundData regarding the geographical distribution of cases and risk factors for COVID-19 death in children and adolescents are scarce. We describe the spatial distribution of COVID-19 cases and deaths in paediatric population and their association with social determinants of health in Brazil.MethodsThis is a population-based ecological study with a spatial analysis of all cases and deaths due to COVID-19 in Brazil among children and adolescents aged 0–19 years from March 2020 to October 2021. The units of analysis were the 5570 municipalities. Data on COVID-19 cases and deaths, social vulnerability, health inequities, and health system capacity were obtained from publicly available databases. Municipalities were stratified from low to very high COVID-19 incidence and mortality using K-means clustering procedures, and spatial clusters and relative risks were estimated using spatial statistics with Poisson probability models. The relationship between COVID-19 estimates and social determinants of health was explored by using multivariate Beta regression techniques.FindingsA total of 33,991 COVID-19 cases and 2424 deaths among children and adolescents aged 0–19 years were recorded from March 2020 to October 2021. There was a spatial dependence for the crude mortality coefficient per 100,000 population in the paediatric population aged 0–19 years (I Moran 0·10; P < 0·001). Forty municipalities had higher mortality rates, of which 20 were in states from the Northeast region. Seven spatial clusters were identified for COVID-19 mortality, with four clusters in the Northeast region and three in the North region. Municipalities with higher social inequality and vulnerability had higher COVID-19 mortality in the paediatric population.InterpretationThe main clusters of risk for mortality among children and adolescents were identified in municipalities in the North and Northeast regions, which are the regions with the worst socioeconomic indicators and greatest health disparities in the country. Our findings confirmed the higher burden of COVID-19 for Brazilian paediatric population in municipalities with higher social inequality and vulnerability and worse socioeconomic indicators. To reduce the burden of COVID-19 on children, mass immunisation is necessary.FundingNone.

Non-COVID surgical load of operation theatre during COVID-19 pandemic in Armed Forces tertiary care centres: “Snapshot of two timelines”

BackgroundThe global COVID-19 pandemic has led to major changes in the surgical caseloads in the operation theatres across the world. Elective surgeries have been curtailed to a great extent and the number of emergency surgeries has risen. We conducted a study to assess the changes in the surgical caseloads in two tertiary care hospitals in India during the pandemic and to assess the changes in anaesthesia techniques used. MethodsA multicentre retrospective observational study conducted at two tertiary care centres located 1500 kms apart. Hospital A in a city with high incidence of COVID-19 and Hospital B with a lighter load of COVID-19 cases. Record of all major surgeries carried out between 01Jul 2020 and 31 Dec 2020 were compared with the surgeries carried out between 01 Jul 2019 and 31 Dec 2019. ResultsThere was a decrease of almost 53% in elective surgical workload in hospital A and 71% in hospital B. The decrease in the cases was not similar across all specialities. There was a significant increase in the percentage of emergency surgeries from 11.1% to 24% in hospital A and from 22.1% to 29.8% in hospital B in the year 2020. A statistically significant increase in regional anaesthesia and neuraxial blockade was noted in the year 2020 in both the hospitals. ConclusionDuring the COVID-19 pandemic, the number of elective surgical cases has significantly decreased in specialities like ophthalmology whereas there was no change in the surgical workload in specialities like obstetrics, oncology, orthopaedics, and neurosurgery. There was significant increase in the use of regional and neuraxial techniques of anaesthesia.

The Spatial Association of Demographic and Population Health Characteristics with COVID-19 Prevalence Across Districts in India.

In less‐developed countries, the lack of granular data limits the researcher's ability to study the spatial interaction of different factors on the COVID‐19 pandemic. This study designs a novel database to examine the spatial effects of demographic and population health factors on COVID‐19 prevalence across 640 districts in India. The goal is to provide a robust understanding of how spatial associations and the interconnections between places influence disease spread. In addition to the linear Ordinary Least Square regression model, three spatial regression models—Spatial Lag Model, Spatial Error Model, and Geographically Weighted Regression are employed to study and compare the variables explanatory power in shaping geographic variations in the COVID‐19 prevalence. We found that the local GWR model is more robust and effective at predicting spatial relationships. The findings indicate that among the demographic factors, a high share of the population living in slums is positively associated with a higher incidence of COVID‐19 across districts. The spatial variations in COVID‐19 deaths were explained by obesity and high blood sugar, indicating a strong association between pre‐existing health conditions and COVID‐19 fatalities. The study brings forth the critical factors that expose the poor and vulnerable populations to severe public health risks and highlight the application of geographical analysis vis‐a‐vis spatial regression models to help explain those associations.

SARS-CoV-2 Infection Evolution Among Nephrologists During the Pandemic: Clinical Features and Impact of Vaccination

SARS-CoV-2 Infection Evolution Among Nephrologists During the Pandemic: Clinical Features and Impact of Vaccination

Management of patients with Intestinal Bowel Disease and COVID-19: A review of current evidence and future perspectives

The COVID-19 pandemic has been a challenge for countries and health professionals worldwide. Viral entry by ACE-2 receptor and an excessive activation of the immune system are key to understand both incidence and severity of disease. Inflammatory Bowel Disease (IBD) represents a special condition associated with an inordinate response of the immune system to external agents. IBD treatments have been associated to an increased risk of bacterial and viral infections. This has raised the question of possible higher incidence and severity of COVID-19 infection in IBD patients. Several papers have been published during this year of pandemic to answer that question. Moreover, COVID-19 vaccination offers great promise in controlling infection in patients with IBD. Based on current evidence, patients with IBD do not have a higher incidence of COVID-19 than the general population, and they do not have worse disease evolution. Advanced age and presence of a greater number of comorbidities have been associated with worse outcomes, similar to the general population. Corticosteroids are associated to an increased risk of COVID-19 infection, higher hospitalization rate and higher risk of severe COVID-19. 5-ASA/Sulfasalazine and Thiopurines have a possible increased risk of severe COVID-19, although studies are lacking. On the other hand, Anti-TNF may have a possible protective effect. It is recommended to maintain the treatment. Anti-IL-12/23, anti-integrins and tofacitinib have results comparable to anti-TNF. Based on the efficacy, expert recommendations, and the absence of other evidence, it is recommended that patients with IBD be vaccinated.

The Prevalence of COVID-19 Among Health Care Personnel in a University Hospital by the End of 2020, and Ambient Air CO2 in Hospital Rooms Ventilated by Window-Opening in 2021/22

In autumn and winter 2020/21 and again in 2021/22 Slovenia has ranked among countries with the highest incidence of COVID-19 per million inhabitants and high excess mortality over the average of previous years. Many patients on non-COVID-19 hospital wards were in fact infected by SARS-CoV-2. Health care personnel at the University Medical Centre Ljubljana (UMCL) were falling ill by Covid-19 in large numbers despite wearing surgical masks and eye protection when dealing with patients. We compared the prevalence of COVID-19 among health care personnel of the Division of Internal Medicine, UMCL by the end of December 2020 with the national average of Slovenia. After instructions had been issued to increase room ventilation by opening windows every hour for at least 10 minutes, ambient air CO2 was measured in an intensive care room and in an outpatient clinic room during a 10-month period, from April 2021 to February 2022. The prevalence of COVID-19 by the end of December 2020 was 42 % among nurses, 21 % among registered nurses and 17 % among medical doctors, whereas the national of average of the population was significantly lower at 5.5 %. Between April 2021 and February 2022, the average CO2 (ppm) in the intensive care was 633 (standard deviation 198, range 376 – 1540), while in the outpatient clinic the average was 552 (standard deviation 199, range 380 - 1910). During 2020, before the instructions for the use of personal protective equipment were up-graded and before regular window-opening was advised, the prevalence of Covid-19 among health care personnel at the Division of Internal medicine, UMCL exceeded the national average by 3- to 8-fold. After regular window-opening was advised, the peak CO2 levels still often exceeded the recommended “safe” level of 750 ppm.

COVID-19, green space exposure, and mask mandates

IntroductionMask-wearing and social distancing are critical prevention measures that have been implemented to stem the spread of COVID-19. The degree to which these measures are adhered to in the US, however, may be influenced by access to outdoor resources such as green space, as well as mask mandates that may vary by state. PurposeTo examine the association between the presence or absence of statewide mask mandates and green space exposure with COVID-19 cumulative incidence in the US. MethodsIn October 2020, COVID-19 case data for each US county was downloaded from USA Facts, in addition to statewide mask mandates from a database maintained by the American Association of Retired Persons. The Normalized Difference Vegetation Index from the US Geological Survey (USGS), was used as a measure of greenspace, while the 2016 National Land Cover Database was used to assess tree canopy exposure as an alternative measure of greenspace. We performed generalized linear regression to evaluate associations with COVID-19 incidence, adjusting for potential confounders such as other environmental factors (i.e., air pollution and climate) and socio-economic factors derived from the CDC social vulnerability index. In addition, we also performed spatial regression analyses to account for spatial autocorrelation across counties. ResultsCounties with mandatory mask-wearing policies had a lower cumulative incidence of COVID-19 (B = −0.299, SE = 0.038). Among environmental factors, precipitation (B = 0.005, SE = 0.001) and PM 2.5 (B = 0.072, SE = 0.012) were associated with a higher incidence of COVID-19, while tree canopy (B = −0.501, SE = 0.129) was associated with a lower risk of COVID-19. COVID-19 incidence was higher in counties with socially vulnerable populations regarding socioeconomic status, minority status, and housing and transportation. ConclusionMandatory mask regulation, exposure to green space, and reduced exposure to air pollution may reduce COVID-19 incidence in the US. Additional public health policies should consider ways to mitigate environmental conditions that may contribute to the risk of COVID-19, especially for vulnerable populations.

High incidence of COVID-19 at nursing homes in Madrid, Spain, despite preventive measures.

ObjectiveTo assess the impact of COVID-19 at nine nursing homes in Madrid, Spain, during the first wave of COVID-19 infection and lockdown period when preventive measures were taken to avoid transmission among residents.MethodsNine hundred forty-two residents and 846 staff members from nine nursing homes participated in the study (April 18 to June 20, 2020). All participants were tested for SARS-CoV-2 in the nasopharynx by PCR and for IgG antibodies detection. Microbiological status at sampling was defined as active infection (positive PCR ± presence of antibodies), past infection (negative PCR + presence of antibodies), or naïve participants (negative PCR + absence of antibodies).ResultsLaboratory results helped classify the residents as having active infection (n=224; 23.8%), past infection (n=462; 49.1%), or being naïve (n=256; 27.1%); staff members were actively infected (n=127; 15.1%), had had a past infection (n=290; 34.2%), or were naïve (n=429; 50.7%). Overall, the percentage of participants with COVID-19 was significantly higher in residents than in staff members (72.8% vs 49.2%; P=0.001). The clinical situation of residents vs staff at sampling was as follows: acute manifestations compatible with COVID-19 (7.3% vs 3.9%; P<0.01) and no manifestations of infection (92.7% vs 96.0%; P<0.01). A large proportion of both asymptomatic and symptomatic residents (69.4% vs 86.6%; P=0.015) had positive PCR results (mostly alongside positive IgG determinations).ConclusionsCOVID-19 affects 75% of the residents in nursing homes in Madrid. The high impact in these settings, despite the strict restrictions adopted during the lockdown, demonstrates the ability of SARS-CoV-2 to cause outbreaks.

Efficacy and Safety of Peptide Vaccine in Prevention of SARS-CoV-2 Infection: Prospective Study among Healthcare Professionals

The pandemic caused by the new coronavirus infection remains the topical health issue and constitutes serious threat to the entire world. Nowadays, active immunization against new type of coronavirus infection continues in Russian Federation and in all other countries. Vaccination is the crucial component in comprehensive program for COVID-19 prevention and control. Mass immunization of population can prevent both admissions and hospitalization in conditions of high incidence of COVID-19 and thereby reduce the burden on the health system. Despite the remaining complications in combating the SARS-CoV-2 pandemic, preventive vaccination is by far the most effective method for protection against this infection Clinical studies on the efficacy of various preventive vaccinations in different regions of the world are extremely relevant especially under conditions of the emergency use authorization for vaccines against new coronavirus infection, the changing epidemiological situation, and the wide variability of different types of vaccines. All countries will need continuously updated data on vaccine efficacy to address new challenges such as weakening post-vaccine protection, new SARS-CoV-2 strains, and need for other preventive measures to mitigate the pandemic.

Parasite immunomodulatory role in reducing the prevalence of COVID-19 in endemic regions

Nearly 35 million cases and one million deaths over the nine months of the COVID-19 pandemic have been reported worldwide. Africa and some countries with endemic parasitic infections had a low incidence of COVID-19. By contrast, the United States and several European countries, having a non-endemicity of parasitic infections, recorded a high incidence of COVID-19. Some parasites have an immunomodulatory mechanism that can induce an immune tolerance state in the infected persons by balancing pro-inflammatory and anti-inflammatory responses. Emerging reports also stated that COVID-19 and helminth co-infections may have more hidden outcomes than predictable ones. Hence, the aim of this literature review is to show and identify that an increase in the number of regulatory immune cells due to the immunomodulatory role of a pre-existing parasitic infection could reduce the risk of COVID-19. This study explored the existing literature to determine the role of parasitic infections in modulating the immune response and possibly reduce the risk of COVID-19 infection in endemic countries. The mechanism of immunomodulation by parasites is the increased numbers of Treg cells, M2 macrophages, eosinophils, the Th2 cytokines IL-4 and IL-5, and the pro-inflammatory downregulation of IFN λ, TNF α, and IL-6, which play an essential role in inducing cytokine storms in COVID-19 infection. This condition will probably occur in an individual with parasitic infection in a community with limited facilities and infrastructure to treat parasitic infections, particularly in developing countries. To conclude, in endemic areas, the immunomodulatory effect of parasitic infection to reduce the risk of COVID-19 cases/deaths is a possibility if the host is immunocompetent. Herein, the current knowledge on the immunomodulatory role of COVID-19 and helminth co-infections will be discussed.

Does air pollution explain COVID-19 fatality and mortality rates? A multi-city study in São Paulo state, Brazil.

Since air pollution compromise the respiratory system and COVID-19 disease is caused by a respiratory virus, it is expected that air pollution plays an important role in the current COVID-19 pandemic. Exploratory studies have observed positive associations between air pollution and COVID-19 cases, deaths, fatality, and mortality rate. However, no study focused on Brazil, one of the most affected countries by the pandemic. Thus, this study aimed to understand how long-term exposure to PM10, PM2.5, and NO2 contributed to COVID-19 fatality and mortality rates in São Paulo state in 2020. Air quality data between 2015 and 2019 in 64 monitoring stations within 36 municipalities were considered. The COVID-19 fatality was calculated considering cases and deaths from the government’s official data and the mortality rate was calculated considering the 2020 population. Linear regression models were well-fitted for PM2.5 concentration and fatality (R2 = 0.416; p = 0.003), NO2 concentration and fatality (R2 = 0.232; p = 0.005), and NO2 concentration and mortality (R2 = 0.273; p = 0.002). This study corroborates other authors’ findings and enriches the discussion for having considered a longer time series to represent long-term exposure to the pollutants and for having considered one of the regions with the highest incidence of COVID-19 in the world. Thus, it reinforces measures to reduce the concentration of air pollutants which are essential for public health and will increase the chance to survive in future respiratory disease epidemics.

Differential Effects of Race/Ethnicity and Social Vulnerability on COVID-19 Positivity, Hospitalization, and Death in the San Francisco Bay Area.

BackgroundHigher COVID-19 incidence and morbidity have been documented for US Black and Hispanic populations but not as clearly for other racial and ethnic groups. Efforts to elucidate the mechanisms underlying racial health disparities can be confounded by the relationship between race/ethnicity and socioeconomic status.ObjectiveExamine race/ethnicity and social vulnerability effects on COVID-19 outcomes in the San Francisco Bay Area, an ethnically and socioeconomically diverse region, using geocoded patient records from 2020 in the University of California, San Francisco Health system.Key ResultsHigher social vulnerability, but not race/ethnicity, was associated with less frequent testing yet a higher likelihood of testing positive. Asian hospitalization rates (11.5%) were double that of White patients (5.4%) and exceeded the rates for Black (9.3%) and Hispanic patients (6.9%). A modest relationship between higher hospitalization rates and increasing social vulnerability was evident only for White patients. Hispanic patients had the highest years of expected life lost due to COVID-19.ConclusionsCOVID-19 outcomes were not consistently explained by greater social vulnerability. Asian individuals showed disproportionately high rates of hospitalization regardless of social vulnerability status. Study of the San Francisco Bay Area population not only provides valuable insights into the differential contributions of race/ethnicity and social determinants of health to COVID-19 outcomes but also emphasizes that all racial groups have experienced the toll of the pandemic, albeit in different ways and to varying degrees.

Large university with high COVID-19 incidence is not associated with excess cases in non-student population

Large US colleges and universities that re-opened campuses in the fall of 2020 and the spring of 2021 experienced high per capita rates of COVID-19. Returns to campus were controversial because they posed a potential risk to surrounding communities. A large university in Pennsylvania that returned to in-person instruction for Fall 2020 and Spring 2021 semesters reported high incidence of COVID-19 among students. However, the co-located non-student resident population in the county experienced fewer COVID-19 cases per capita than reported in neighboring counties. Activity patterns from mobile devices indicate that the non-student resident population near the university restricted their movements during the pandemic more than residents of neighboring counties. Respiratory virus prevention and management in student and non-student populations requires different, specifically targeted strategies.