Higher COVID-19 Mortality Research Articles

County-level associations between drinking water PFAS contamination and COVID-19 mortality in the United States.

Epidemiologic and animal studies both support relationships between exposures to per- and polyfluoroalkyl substances (PFAS) and harmful effects on the immune system. Accordingly, PFAS have been identified as potential environmental risk factors for adverse COVID-19 outcomes. Here, we examine associations between PFAS contamination of U.S. community water systems (CWS) and county-level COVID-19 mortality records. Our analyses leverage two datasets: one at the subnational scale (5371 CWS serving 621 counties) and one at the national scale (4798 CWS serving 1677 counties). The subnational monitoring dataset was obtained from statewide drinking monitoring of PFAS (2016-2020) and the national monitoring dataset was obtained from a survey of unregulated contaminants (2013-2015). We conducted parallel analyses using multilevel quasi-Poisson regressions to estimate cumulative incidence ratios for the association between county-level measures of PFAS drinking water contamination and COVID-19 mortality prior to vaccination onset (Jan-Dec 2020). In the primary analyses, these regressions were adjusted for several county-level sociodemographic factors, days after the first reported case in the county, and total hospital beds. In the subnational analysis, detection of at least one PFAS over 5 ng/L was associated with 12% higher [95% CI: 4%, 19%] COVID-19 mortality. In the national analysis, detection of at least one PFAS above the reporting limits (20-90 ng/L) was associated with 13% higher [95% CI: 8%, 19%] COVID-19 mortality. Our findings provide evidence for an association between area-level drinking water PFAS contamination and higher COVID-19 mortality in the United States. These findings reinforce the importance of ongoing state and federal monitoring efforts supporting the U.S. Environmental Protection Agency's 2024 drinking water regulations for PFAS. More broadly, this example suggests that drinking water quality could play a role in infectious disease severity. Future research would benefit from study designs that combine area-level exposure measures with individual-level outcome data.

Serologic Evidence for Early SARS-CoV-2 Circulation in Lima, Peru, 2020.

During early 2021, Peru had the highest COVID-19-associated per-capita mortality rate. Socioeconomic inequality, insufficiently prepared healthcare, and surveillance systems are factors explaining the mortality rate, which can be severely worsened by early undetected SARS-CoV-2 circulation. We tested 1,441 individuals with fever sampled during August 2019-May 2021, several months before the first SARS-CoV-2 seroprevalence study available so far in Lima, Peru, for SARS-CoV-2-specific antibodies. The testing algorithm included a chemiluminescence immunoassay and surrogate virus neutralization test. Early positive samples (N = 24) from January-March 2020 were further tested using a plaque-reduction neutralization test (PRNT) and avidity test against the SARS-CoV-2 spike and nucleoprotein. None of the early samples were PRNT-confirmed, in contrast to 81.8% (18/22) of a subsample from April 2020 onward (Fisher exact test; P <0.0001). Therefore, we excluded non-PRNT-confirmed samples from subsequent analyses. The SARS-CoV-2 antibody detection rate was 0.9% in mid-April 2020 (1/104; 95% CI: 0.1-5.8%), suggesting viral circulation in early-middle March 2020, consistent with the first molecular detection of SARS-CoV-2 in Peru on March 2020. Mean avidity increase of 62-77% to 81-94% from all PRNT-confirmed SARS-CoV-2-positive samples during early 2020 were consistent with onset of SARS-CoV-2 circulation during late February/March 2020. Early circulation was also confirmed in a susceptible, exposed, infected, and recovered mathematical model that calculated an effective reproduction number >1 during February-March 2020. Early introduction of SARS-CoV-2 thus contributed to the high COVID-19 mortality rate in Peru. Emphasizing the role of diagnostic confirmation in understanding the pandemic's trajectory, this study highlights the importance of early detection and accurate testing in managing infectious disease outbreaks.

COVID-19 vaccine uptake in a predominantly minoritized cohort hospitalized during the early pandemic in New York City

BackgroundMinoritized communities in the United States have had higher COVID-19 mortality and lower vaccine uptake. The influence of previous SARS-CoV-2 infection, initial disease severity, and persistent symptoms on COVID-19 vaccine uptake in Black and Latinx communities has not been examined. ObjectiveTo investigate whether initial COVID-19 severity, persistent symptoms, and other correlates affected vaccine uptake in a predominantly minoritized cohort hospitalized for COVID-19 during the early pandemic in New York City. DesignIn this historical cohort study, we abstracted electronic health record data on demographics, comorbidities, hospital oxygen requirements, symptoms at 3 and 6 months post-admission, COVID-19 vaccinations through November 2022, and influenza vaccinations during the 2018–2019 through 2021–2022 seasons. Unadjusted and adjusted odds ratios were estimated through logistic regression analyses of correlates of COVID-19 vaccination, on-time vaccination, and boosting. ParticipantsSurvivors among the first 1186 adult patients hospitalized for COVID-19 between March 1 and April 8, 2020 at a large quaternary care medical center in Northern Manhattan. Main MeasuresUptake of at least one COVID-19 vaccine dose, uptake of at least one booster, and on-time vaccination. Key ResultsThe 890 surviving individuals were predominantly Latinx (54%) and Non-Hispanic Black (15%). Most had one or more comorbidities (67%), and received at least one COVID-19 vaccine dose (78%). Among those vaccinated, 57% received at least one booster, and 31% delayed vaccination. 67% experienced persistent symptoms. Multiple logistic regression showed no association between vaccine uptake and disease severity or symptom persistence. However, older age and influenza vaccination during the COVID-19 era were associated with increased vaccination, booster uptake, and on-time vaccination. ConclusionsPinpointing drivers of vaccine uptake and hesitancy is critical to increasing and sustaining COVID-19 vaccination as the field transitions to annual boosters. The association between influenza vaccination and increased vaccine uptake suggests that bundling vaccines for adults may be an effective delivery strategy.

Evaluation of Rhode Island's Early Geographic COVID-19 Vaccine Prioritization Policy.

Objectives. To determine whether geographic prioritization of limited COVID-19 vaccine supply was effective for reducing geographic disparities in case rates. Methods. Rhode Island allocated a portion of the initial COVID-19 vaccine supply to residents of Central Falls, a community already affected by structural policies and inadequate systems that perpetuate health inequities and experiencing disproportionately high COVID-19 morbidity and mortality. The policy was implemented with a culturally and linguistically appropriate community engagement plan and was intended to reduce observed disparities. Using a Bayesian causal analysis with population surveillance data, we evaluated the impact of this prioritization policy on recorded cases over the subsequent 16 weeks. Results. Early geographic prioritization of Central Falls accelerated vaccine uptake, averting an estimated 520 cases (95% confidence interval = 22, 1418) over 16 weeks and reducing cases by approximately 34% during this period (520 averted vs 1519 expected without early prioritization). Conclusions. Early geographic prioritization increased vaccine uptake and reduced cases in Central Falls, thereby reducing geographic disparities. Public Health Implications. Public health institutions should consider geographic prioritization of limited vaccine supply to reduce geographic disparities in case rates. (Am J Public Health. 2024;114(S7):S580-S589. https://doi.org/10.2105/AJPH.2024.307741).

Outcomes of Covid-19 among patients with ischemic heart disease: A propensity matched analysis

BackgroundPrior research has linked cardiovascular diseases with higher COVID-19 mortality and worse hospital outcomes, particularly in severe heart failure. Large population-based data regarding the impact of pre-existing ischemic heart disease (IHD) on COVID-19 outcomes is not well established. ObjectiveTo study the impact of COVID-19 infection on IHD hospital mortality and other outcomes. MethodsThe study included a patient cohort from the 2020 and 2021 National Inpatient Sample (NIS) database. Propensity score matching was used to match the study cohort (COVID-19 with IHD) to controls (COVID-19 without IHD) using a 1:1 matching ratio. The outcomes analyzed were in-hospital mortality, rates of acute kidney injury (AKI), acute myocardial injury (AMI), cardiogenic shock, cardiac arrest, mechanical ventilation, tracheal intubation, pulmonary embolism (PE), ventricular tachycardia (VT), ventricular fibrillation (VF), length of stay (LOS), and total hospitalization charges. ResultsA total of 2,532,652 patients met the inclusion criteria (1,199,008 females [47.3 %), predominantly Caucasian 1,456,203 (57.5 %); mean [SD] age 63, (5.4), including 29,315 (1.1 %) patients with a history of IHD. Following propensity matching, 4,772 COVID-19 patients with and without IHD were matched. IHD patients had higher rates of AMI (adjusted odds ratio (aOR) 3.75, 95 % CI 3.27–4.31, p < 0.001), cardiogenic shock (aOR 2.89, 95 % CI 1.60–5.19, p < 0.001), VT (aOR 3.26, 95 % CI 2.48–4.29, p < 0.001), and VF (aOR 2.23, 95 % CI 1.25–3.99, p < 0.001). The odds ratios of in-hospital mortality, AKI, PE, mechanical ventilation, tracheal intubation, and resource use were not significantly different. ConclusionA history of IHD does not impact COVID-19 mortality but increases the risk of in-hospital cardiac complications.

The differential impacts of COVID-19 mortality on mental health by residential geographic regions: The Los Angeles Pandemic Surveillance Cohort Study.

This study examines the association between changes in mental health before and during the COVID-19 pandemic and COVID-19 mortality across geographic areas and by race/ethnicity. A cross-sectional survey was conducted in Los Angeles County between April and May 2021. The study used the Patient Health Questionnaire-2 to assess major depression risk. Participants' home ZIP codes were classified into low, middle, and high COVID-19 mortality impacted areas (CMIA). While there were existing mental health disparities due to differences in demographics and social determinants of health across CMIA in 2018, the pandemic exacerbated the disparities, especially for residents living in high CMIA. Non-White residents in high CMIA reported the largest deterioration in mental health. Differences in mental health by CMIA persisted after controlling for resident characteristics. Living in an area with higher COVID-19 mortality rates may have been associated with worse mental health, with Non-White residents reporting worse mental health outcomes in the high mortality area. It is crucial to advocate for greater mental health resources in high COVID-19 mortality areas especially for racial/ethnic minorities.

Characteristics of neutralizing antibody titers of the SARS-CoV-2 vaccine in maintenance hemodialysis patients.

Hemodialysis patients have high COVID-19 severity and mortality rates. For this high-risk group of hemodialysis patients with SARS-CoV-2 infection, early SARS-CoV-2 vaccination is recommended to prevent infection and severe disease. Thus far, few reports have evaluated COVID-19 antibody titers in hemodialysis patients. In this study, we investigated the time course of antibody titers acquired by vaccination in patients on dialysis. The anti-SARS-CoV-2 spike protein S1 IgG (anti-SP-IgG) antibody titers were compared between 33 outpatient maintenance hemodialysis patients and 32 age- and sex-matched healthy subjects. Antibody tests were performed at five time points: 6 months after the 2nd vaccination, immediately before the 3rd vaccination (8 months after the 2nd vaccination), and 2 weeks, 1 month, and 3 months after the 3rd vaccination. The dialysis patient group had significantly lower values of anti-SP-IgG antibody titers than the control group 6 months after the 2nd vaccination (433.7 ± 36.24 vs. 650.2 (427.2 - 759.4) (AU/mL), p = 0.006) and immediately before the 3rd vaccination (219.3 (129.4 - 423.4) vs. 443.3 (267.1 - 600.4) (AU/mL), p = 0.034), but no significant differences were observed after the 3rd vaccination (19,000.0 (11,000.0 - 3,6000.0) vs. 23,500.0 (20,250.0 - 29,000.0) (AU/mL), p = 0.538). This study confirmed that patients undergoing hemodialysis were proven to have acquired sufficient antibody titers after the vaccination.

"The perfect storm": community worker perspectives on the impact of COVID-19 on New York City immigrants and migrant-serving organizations.

Immigrants in New York City (NYC) have higher COVID-19 mortality than the general population. While migrant-serving organizations (MSOs) provide access to a breadth of services, they are disproportionately impacted by the COVID-19 pandemic due to staffing limitations, funding cuts, and resource limitations of communities served. Six focus-group discussions were conducted to explore the experiences of MSOs in NYC during the COVID-19 pandemic from November 2021 to March 2022. Study participants csomprised a subsample of survey respondents from a larger study identified via lists of MSOs. Twenty-seven organizational representatives from 11 MSOs across NYC participated in the discussions. In addition to providing information on communities served, services offered, and organizational characteristics, the following themes emerged from the convenings: mental health challenges and resources needed for immigrants; immigration-related challenges; factors exacerbating hardships for immigrants during COVID-19; interorganizational collaborations and partnerships; policy change; and needs/requests of MSOs. MSOs provide a wide range of services as non-profit organizations and use interorganizational collaboration to improve service delivery. The proximity of MSOs to immigrant communities helps providers understand the needs of immigrants relating to the COVID-19 pandemic and factors that shape telehealth services. MSOs are important providers and advocates for immigration policy in the US given their relationship with the populations they serve. These findings have implications for how to support MSOs that serve immigrants in NYC. Strategies to achieve this include timelier availability and exchange of information, policies, and research as well as strengthening the experience-based advocacy of these groups.

Prolonged viral pneumonia and high mortality in COVID-19 patients on anti-CD20 monoclonal antibody therapy

PurposeIn clinical practice, we observed an apparent overrepresentation of COVID-19 patients on anti-CD20 monoclonal antibody therapy. The aim of this study was to characterize the clinical picture of COVID-19 in these patients.MethodsAll adult patients from Turku University Hospital, Turku, Finland, with COVID-19 diagnosis and/or positive SARS-CoV-2 PCR test result up to March 2023, and with anti-CD20 therapy within 12 months before COVID-19 were included. Data was retrospectively obtained from electronic patient records.ResultsNinety-eight patients were identified. 44/93 patients (47.3%) were hospitalized due to COVID-19. Patients with demyelinating disorder (n = 20) were youngest (median age 36.5 years, interquartile range 33–45 years), had less comorbidities, and were least likely to be hospitalized (2/20; 10.0%) or die (n = 0). COVID-19 mortality was 13.3% in the whole group, with age and male sex as independent risk factors. Persistent symptoms were documented in 33/94 patients (35.1%) alive by day 30, in 21/89 patients (23.6%) after 60 days, and in 15/85 after 90 days (17.6%), mostly in patients with haematological malignancy or connective tissue disease. Prolonged symptoms after 60 days predisposed to persistent radiological findings (odds ratio 64.0; 95% confidence interval 6.3–711; p < 0.0001) and persistently positive PCR (odds ratio 45.5, 95% confidence interval 4.0–535; p < 0.0001). Several patients displayed rapid response to late antiviral therapy.ConclusionAnti-CD20 monoclonal antibody therapy is associated with high COVID-19 mortality and with a phenotype consistent with prolonged viral pneumonia. Our study provides rationale for retesting of immunocompromised patients with prolonged COVID-19 symptoms and considering antiviral therapy.

Differences in the Evolution of Clinical, Biochemical, and Hematological Indicators in Hospitalized Patients with COVID-19 According to Their Vaccination Scheme: A Cohort Study in One of the World's Highest Hospital Mortality Populations.

COVID-19 vaccines primarily prevent severe illnesses or hospitalization, but there is limited data on their impact during hospitalization for seriously ill patients. In a Mexican cohort with high COVID-19 mortality, a study assessed vaccination's effects. From 2021 to 2022, 462 patients with 4455 hospital days were analyzed. The generalized multivariate linear mixed model (GENLINMIXED) with binary logistic regression link, survival analysis and ROC curves were used to identify risk factors for death. The results showed that the vaccinated individuals were almost half as likely to die (adRR = 0.54, 95% CI = 0.30-0.97, p = 0.041). When stratifying by vaccine, the Pfizer group (BNT162b2) had a 2.4-times lower risk of death (adRR = 0.41, 95% CI = 0.2-0.8, p = 0.008), while the AstraZeneca group (ChAdOx1-S) group did not significantly differ from the non-vaccinated (adRR = 1.04, 95% CI = 0.5-2.3, p = 0.915). The Pfizer group exhibited a higher survival, the unvaccinated showed increasing mortality, and the AstraZeneca group remained intermediate (p = 0.003, multigroup log-rank test). Additionally, BNT162b2-vaccinated individuals had lower values for markers, such as ferritin and D-dimer. Biochemical and hematological indicators suggested a protective effect of both types of vaccines, possibly linked to higher lymphocyte counts and lower platelet-to-lymphocyte ratio (PLR). It is imperative to highlight that these results reinforce the efficacy of COVID-19 vaccines. However, further studies are warranted for a comprehensive understanding of these findings.

Comorbidities and their association with COVID-19 mortality in Mexico between January 2020 and August 2021.

By August 17, 2021, 4.3 million people had died globally as a result of SARS-CoV-2 infection. While data collection is ongoing, it is abundantly obvious that this is one of the most significant public health crises in modern history. Consequently, global efforts are being made to attain a greater understanding of this disease and to identify risk factors associated with more severe outcomes. The goal of this study is to identify clinical characteristics and risk factors associated with COVID-19 mortality in Mexico. The dataset used in this study was released by Sistema Nacional de Vigilancia Epidemiologica de Enfermedades Respiratorias (SISVER) de la Secretaría de Salud and contains 2.9 million COVID-19 cases. The effects of risk factors on COVID-19 mortality were estimated using multivariable logistic regression models with generalized estimation equation and Kaplan-Meier curves. Case fatality rates, case hospitalization rates are also reported using the Centers for Disease Control and Prevention (CDC) USA death-to-case ratio method. In general, older males with pre-existing conditions had higher odds of death. Age greater than 40, male sex, hypertension, diabetes, and obesity are associated with higher COVID-19 mortality. End-stage renal disease, chronic obstructive pulmonary disease, and immunosuppression are all linked with COVID-19 patient fatalities. Smoking and Asthma are associated with lower COVID-19 mortality which is consistent with findings from the article published in Nature based on National Health Service (NHS) of UK dataset (17 million cases). Intensive care unit (ICU), patient intubation, and pneumonia diagnosis are shown to substantially increase mortality risk for COVID-19 patients.

The impact of Covid-19 in Chhattisgarh, India: A descriptive study.

India is among the most severely affected countries in the ongoing Covid-19 pandemic, second to the USA. Until July 2022, there were 43 million confirmed Covid-19 cases, with 0.53 million Covid-19 deaths in India. Chhattisgarh, the twelfth-highest affected state by Covid-19 disease, has had an enormous mortality toll, with 14,046 deaths by 15th July 2022. This study is a descriptive analysis of the Covid-19 deaths across Chhattisgarh from September 2021 to February 2022 (the third pandemic wave). All Covid-19 deaths that occurred between September 2021 to February 2022 were line-listed, and family members of all who died in the hospital were interviewed. 356 Covid-19 deaths were included in the present study. The top three districts which observed maximum deaths (63.48%) were Raipur (27.53%), Durg (15.45%), and Bilaspur (7.87%). Around 50% of the deceased were of age 65 years or above. The male deaths were twice as compared to the female deaths. The RT-PCR was the most used testing method, followed by RAT. Most of the admissions (58%) were in a government facility. Among the deceased, 60% had one or two associated comorbidities. Hypertension and Diabetes were the most common comorbidity identified. Almost 90% of patients were symptomatic. Breathlessness was the most common symptom. Half of the deceased were not vaccinated. The median expenditure on Covid-19 management was ₹ 50,000 (€ 565.13). The deaths in the study were urban-centric. Higher Covid-19 mortality was observed in unvaccinated older men (≥65 years) with one or more comorbidity.

Nutritional status and its relationship with COVID-19 prognosis in hemodialysis patients.

Introduction: among the groups more affected by the COVID-19 pandemic were patients undergoing chronic hemodialysis (HD) treatment due to their comorbidities, advanced age, impaired innate and adaptive immune function, and increased nutritional risk due to their underlying inflammatory state. All of these factors contribute to a higher risk of severe complications and worse outcomes compared to the general population when infected with SARS-CoV-2. Objective: the objective of this study was to describe the nutritional characteristics of and their potential association with the prognosis of COVID-19 in patients undergoing chronic HD treatment. Method: a descriptive, retrospective, observational design. All cases of COVID-19 in patients undergoing chronic treatment at the Hemodialysis Unit of Hospital de Manises, Valencia, Spain, from the start of the pandemic to before vaccination were included. Results: for that, 189 patients were studied, who received chronic HD treatment in the hospital unit, 22 patients were diagnosed with COVID-19 (12 %) in that period. The mean age was 71 years, 10 were women, the Charlson index was 6.59 points, diabetes mellitus 10, vintage HD 51.6 months, 2 patients had previously received a currently non-functioning kidney transplant, 16 had arteriovenous fistula as vascular access, and 6 had central vascular access. The mean dialysis session time was 220.14 minutes and the initial value of the single dose of the Kt/V pool was 1.7. 16 patients had body composition measurement, a strong association (p < 0.05) was identified between mortality and BMI, as well as mortality and FTI. Furthermore, the differences between deceased and surviving groups in the serum levels of various variables related to nutritional status were analyzed, finding significant differences with p < 0.05 in the value of triglycerides and ferritin. Conclusions: higher body mass index and higher body fat content, along with lower baseline levels of triglycerides and ferritin, were significantly associated with higher COVID-19 mortality in patients on chronic hemodialysis. These findings suggest that the initial nutritional status of these patients can significantly influence the prognosis of SARS-CoV-2 infection.

A plausible hypothesis for the higher Covid-19 mortality in Brazil.

Brazil has high Covid-19 mortality rates, especially among those patients who are intubated. It is hypothetically considered that these rates may be related to the abusive use of medicines by the population. These drugs without scientific evidence are indicated by President Bolsonaro and his supporters but are also prescribed by doctors who follow this line. The text draws attention to the risks of this phenomenon.

Water scarcity and COVID-19 mortality in rural chilean areas

The COVID-19 pandemic, caused by the spread of the SARS-CoV-2 virus around the world in March 2020, severely affected many areas of people’s life and health. Among the main ways to prevent its spread is by washing hands and food with soap and water. However, the latter is scarce in several municipalities of Chile, highlighting the difficulties of water supply at a national level. This work investigates the relationship between municipalities decreed by the government as being in a situation of water scarcity and the COVID-19 mortality levels found in rural areas between March 2020 and June 2021. Statistical data were used from different databases to correlate mortality rates with the level of municipal development and access to a drinking water network. A negative correlation was obtained between high COVID-19 mortality and low levels of communal development and connection to the drinking water network. As a result, it is deemed necessary to take into account geographical variables, such as water scarcity, in the generation of public health policies and water resource management.

The Differential Experience of COVID-19 on Asian American Subgroups: The Los Angeles Pandemic Surveillance Cohort Study.

Data from Asian Americans (AsA) are commonly aggregated in research studies and reporting, obscuring the significant differences across AsA subgroups. We investigated the differential experience of AsA subgroups in COVID-19 testing, vaccination, engagement in risky and protective behaviors and mental health status against this infectious disease. We surveyed a representative sample of the Los Angeles County population (N = 5500) in April 2021 as part of the Los Angeles Pandemic Surveillance Cohort Study and focused on participants who self-identified as AsA (N = 756). There were significant differences across the AsA subgroups, with Koreans, Asian Indians, and Other Asians living in areas with higher COVID-19 mortality rates, and Asian Indians demonstrating the lowest proportion of COVID-19 vaccination. Vietnamese and Koreans had a higher proportion of becoming unemployed during the pandemic. Although the AsA sample on average demonstrated better outcomes than other racial and ethnic groups, the apparent advantages were heterogenous and due to specific subgroups of AsAs rather than AsAs as a whole. The observed differences in COVID-19 measures across AsA subgroups underscore the need to disaggregate AsA data to identify and reduce existing disparities.

Disease, Scapegoating, and Social Contexts: Examining Social Contexts of the Support for Racist Naming of COVID-19 on Twitter.

In early 2020, when COVID-19 began to spread in the United States, many Twitter users called it the "Chinese virus," blaming racial outgroups for the pandemic. I collected tweets containing the "Chinese virus" derivatives posted from March to August 2020 by users within the United States and created a data set with 141,290 tweets published by 50,695 users. I calculated the ratio of users who supported the racist naming of COVID-19 per county and merged Twitter data with the county-level census. Multilevel regression models show that counties with higher COVID-19 mortality or infection rates have more support for the racist naming. Second, the mortality and infection rates effects are stronger in counties with faster minority growth. Moreover, it is mainly in poor counties that minority growth enlarges the effects of infection and mortality rates. These findings relate to the theories on disease-induced xenophobia and the debate between conflict and contact theories.

Spatial Variation in COVID-19 Mortality in New York City and Its Association with Neighborhood Race, Ethnicity, and Nativity Status.

We examined the association between variation in COVID-19 deaths and spatial differences in the racial, ethnic, and nativity-status composition of New York City neighborhoods, which has received little scholarly attention. Using COVID-19 mortality data (through 31 May 2021) and socioeconomic and demographic data from the American Community Survey at the Zip Code Tabulation Area level as well as United-Hospital-Fund-level neighborhood data from the Community Health Survey of the New York City Department of Health and Mental Hygiene, we employed multivariable Poisson generalized estimating equation models and assessed the association between COVID-19 mortality, racial/ethnic/nativity-status composition, and other ecological factors. Our results showed an association between neighborhood-level racial and ethnic composition and COVID-19 mortality rates that is contingent upon the neighborhood-level nativity-status composition. After multivariable adjustment, ZCTAs with large shares of native-born Blacks and foreign-born Hispanics and Asians were more likely to have higher COVID-19 mortality rates than areas with large shares of native-born Whites. Areas with more older adults and essential workers, higher levels of household crowding, and population with diabetes were also at high risk. Small-area analyses of COVID-19 mortality can inform health policy responses to neighborhood inequalities on the basis of race, ethnicity, and immigration status.

Addressing vaccine hesitancy: experimental evidence from nine high-income countries during the COVID-19 pandemic

We study the impact of public health messages on intentions to vaccinate and vaccination uptakes, especially among hesitant groups. We performed an experiment comparing the effects of egoistic and altruistic...

Excess Death Rates for Republican and Democratic Registered Voters in Florida and Ohio During the COVID-19 Pandemic

There is evidence that Republican-leaning counties have had higher COVID-19 death rates than Democratic-leaning counties and similar evidence of an association between political party affiliation and attitudes regarding COVID-19 vaccination; further data on these rates may be useful. To assess political party affiliation and mortality rates for individuals during the initial 22 months of the COVID-19 pandemic. A cross-sectional comparison of excess mortality between registered Republican and Democratic voters between March 2020 and December 2021 adjusted for age and state of voter registration was conducted. Voter and mortality data from Florida and Ohio in 2017 linked to mortality records for January 1, 2018, to December 31, 2021, were used in data analysis. Political party affiliation. Excess weekly deaths during the COVID-19 pandemic adjusted for age, county, party affiliation, and seasonality. Between January 1, 2018, and December 31, 2021, there were 538 159 individuals in Ohio and Florida who died at age 25 years or older in the study sample. The median age at death was 78 years (IQR, 71-89 years). Overall, the excess death rate for Republican voters was 2.8 percentage points, or 15%, higher than the excess death rate for Democratic voters (95% prediction interval [PI], 1.6-3.7 percentage points). After May 1, 2021, when vaccines were available to all adults, the excess death rate gap between Republican and Democratic voters widened from -0.9 percentage point (95% PI, -2.5 to 0.3 percentage points) to 7.7 percentage points (95% PI, 6.0-9.3 percentage points) in the adjusted analysis; the excess death rate among Republican voters was 43% higher than the excess death rate among Democratic voters. The gap in excess death rates between Republican and Democratic voters was larger in counties with lower vaccination rates and was primarily noted in voters residing in Ohio. In this cross-sectional study, an association was observed between political party affiliation and excess deaths in Ohio and Florida after COVID-19 vaccines were available to all adults. These findings suggest that differences in vaccination attitudes and reported uptake between Republican and Democratic voters may have been factors in the severity and trajectory of the pandemic in the US.