scholarly journals Population Optimally Immunized after Accounting for Type-Specific COVID-19 Vaccine Waning Intervals: State-Level Prevalence and Trends

2021 ◽  
Author(s):  
Elizabeth B Pathak ◽  
Jason L Salemi
Keyword(s):  
New York ◽  
Booster Dose ◽  
Classification Scheme ◽  
Total Population ◽  
State Level ◽  
The United States ◽  
Mitigation Strategies ◽  
Accurate Assessment ◽  
National Immunization ◽  
Waning Immunity

BACKGROUND: COVID-19 vaccines exhibit real-world waning effectiveness against SARS-CoV-2 infection within the first 3-6 months after a completed series. Consequently, the main metric tracked by the CDC (percent "fully vaccinated," with no adjustment for booster status) has become insufficiently informative. METHODS: We analyzed CDC daily vaccination data to quantify COVID-19 immunization status for 4 mutually-exclusive groups: (1) not immunized; (2) partially immunized (people who received the 1st dose of a 2-dose series); (3) immunized with waning immunity (previously immunized people whose booster dose is overdue); and (4) optimally immunized (people who: (a) received the Janssen vaccine <2 months ago or completed an mRNA vaccine series <6 months ago, or (b) received the Janssen vaccine >2 months ago or completed an mRNA vaccine series >6 months ago and received a booster dose.) RESULTS: The proportion of the total US population who were optimally immunized against COVID-19 fell from a high of 45.3% on July 17 to 29.4% on November 30. During November, the majority of states experienced a worsening trend in the percent of the total population who were overdue for a booster dose, including the 4 largest states, with percentage point increases of 3.5 in New York, 3.4 in California, 2.3 in Texas and 1.7 in Florida. CONCLUSIONS: Our proposed classification scheme accounts for type-specific vaccine waning intervals, provides an accurate assessment of progress toward national immunization goals, and reveals the urgent need for additional public health mitigation strategies to successfully combat the COVID-19 pandemic in the United States.

Save Our Senior Noncitizens: Extending Old Age Assistance to Immigrants in the United States, 1935–71

2020 ◽  
pp. 1-27
Author(s):  
Cybelle Fox
Keyword(s):  
New York ◽  
Old Age ◽  
State Level ◽  
The United States ◽  
Institutional Arrangements ◽  
Social Rights ◽  
Secure Access ◽  
The Supreme Court ◽  
Old Age Assistance ◽  
Social Security Act

Abstract When do states grant social rights to noncitizens? I explore this question by examining the extension of Old Age Assistance (OAA) to noncitizens after the passage of the 1935 Social Security Act. While the act contained no alienage-based restrictions, states were permitted to bar noncitizens from means-tested programs. In 1939, 31 states had alienage restrictions for OAA. By 1971, when the Supreme Court declared state-level alienage restrictions unconstitutional, only eight states still did. States with more Mexicans and Asians were slower to repeal restriction, however. Using in-depth case studies of New York, California, and Texas, I demonstrate the importance of federal and state institutional arrangements and immigrant political power for the extension of social rights to noncitizens. I also show that to secure access to OAA, immigrant advocates adapted their strategies to match the institutional and political context.

Management of personal protective equipment during the COVID-19 pandemic in England and the state of New York: A comparative case study

2020 ◽  
Vol 18 (7) ◽  
pp. 71-89
Author(s):  
Amy Barber, BSc ◽  
Annaëlle Vinzent, BS ◽  
Imani Williams, BA
Keyword(s):  
New York ◽  
Supply Chain ◽  
Health Systems ◽  
Personal Protective Equipment ◽  
New York State ◽  
The United States ◽  
Mitigation Strategies ◽  
Comparative Case Study ◽  
Protective Equipment

Background: The COVID-19 crisis placed extraordinary demands on the supply of personal protective equipment (PPE) at the beginning of 2020. These were coupled with shocks to the supply chain resulting from the disease. Many typically well-resourced health systems faced subsequent shortages of equipment and had to implement new strategies to manage their stocks. Stockpiles of protective equipment were held in both the United States and United Kingdom intended to prevent shortages. Method: Cross-comparative case study approach by applying Pettigrew and Whipp’s framework for change management. Setting: The health systems of England and New York state from January 2020 to the end of April 2020. Results: Both cases reacted slowly to their outbreaks and faced problems with supplying enough PPE to their health systems. Their stockpiles were not enough to prevent shortages, with many distribution problems resulting from inadequate governance mechanisms. No sustainable responses to supply disruptions were implemented during the study period in either case. Health systems planned interventions along each part of the supply chain from production and importing, to usage guidelines. Conclusion: Global supply chains are vulnerable to disruptions caused by international crises, and existing mitigation strategies have not been wholly successful. The existence of stockpiles is insufficient to preventing shortages of necessary equipment in clinical settings. Both the governance and quality of stockpiles, as well as distribution channels are important for preventing shortages. At the time of writing, it is not possible to judge the strength of strategies adopted in these cases.

scholarly journals Black and White Differences in Life Expectancy in 4 US States, 1969-2013

2019 ◽  
Vol 134 (6) ◽  
pp. 634-642 ◽  
Author(s):  
Jay S. Kaufman ◽  
Corinne A. Riddell ◽  
Sam Harper
Keyword(s):  
New York ◽  
Life Expectancy ◽  
Racial Differences ◽  
State Level ◽  
Decomposition Methods ◽  
The United States ◽  
Future Research ◽  
Age Group ◽  
Life Expectancy At Birth ◽  
Racial Gap

Objectives: Racial differences in mortality in the United States have narrowed and vary by time and place. The objectives of our study were to (1) examine the gap in life expectancy between white and black persons (hereinafter, racial gap in life expectancy) in 4 states (California, Georgia, Illinois, and New York) and (2) estimate trends in the contribution of major causes of death (CODs) to the racial gap in life expectancy by age group. Methods: We extracted data on the number of deaths and population sizes for 1969-2013 by state, sex, race, age group, and 6 major CODs. We used a Bayesian time-series model to smooth and impute mortality rates and decomposition methods to estimate trends in sex- and age-specific contributions of CODs to the racial gap in life expectancy. Results: The racial gap in life expectancy at birth decreased in all 4 states, especially among men in New York (from 8.8 to 1.1 years) and women in Georgia (from 8.0 to 1.7 years). Although few deaths occurred among persons aged 1-39, racial differences in mortality at these ages (mostly from injuries and infant mortality) contributed to the racial gap in life expectancy, especially among men in California (1.0 year of the 4.3-year difference in 2013) and Illinois (1.9 years of the 6.7-year difference in 2013). Cardiovascular deaths contributed most to the racial gap in life expectancy for adults aged 40-64, but contributions decreased among women aged 40-64, especially in Georgia (from 2.8 to 0.5 years). The contribution of cancer deaths to inequality increased in California and Illinois, whereas New York had the greatest reductions in inequality attributable to cancer deaths (from 0.6 to 0.2 years among men and from 0.2 to 0 years among women). Conclusions: Future research should identify policy innovations and economic changes at the state level to better understand New York’s success, which may help other states emulate its performance.

scholarly journals Evaluating Surveillance for and Estimating Administration of Rabies Postexposure Prophylaxis in the United States, 2012–2018

2021 ◽  
Vol 15 (10) ◽  
pp. e0009878
Author(s):  
Erin R. Whitehouse ◽  
Marissa K. Person ◽  
Catherine M. Brown ◽  
Sally Slavinski ◽  
Agam K. Rao ◽  
...  
Keyword(s):  
Public Health ◽  
United States ◽  
National Level ◽  
State Level ◽  
The United States ◽  
Surveillance Data ◽  
Human Rabies ◽  
Accurate Assessment ◽  
Postexposure Prophylaxis ◽  
Ed Visits

Background An evaluation of postexposure prophylaxis (PEP) surveillance has not been conducted in over 10 years in the United States. An accurate assessment would be important to understand current rabies trends and inform public health preparedness and response to human rabies. Methodology/Principle findings To understand PEP surveillance, we sent a survey to public health leads for rabies in 50 U.S. states, Puerto Rico, Washington DC, Philadelphia, and New York City. Of leads from 54 jurisdictions, 39 (72%) responded to the survey; 12 reported having PEP-specific surveillance, five had animal bite surveillance that included data about PEP, four had animal bite surveillance without data about PEP, and 18 (46%) had neither. Although 12 jurisdictions provided data about PEP use, poor data quality and lack of national representativeness prevented use of this data to derive a national-level PEP estimate. We used national-level and state specific data from the Healthcare Cost & Utilization Project (HCUP) to estimate the number of people who received PEP based on emergency department (ED) visits. The estimated annual average of initial ED visits for PEP administration during 2012–2017 in the United States was 46,814 (SE: 1,697), costing upwards of 165 million USD. State-level ED data for initial visits for administration of PEP for rabies exposure using HCUP data was compared to state-level surveillance data from Maryland, Vermont, and Georgia between 2012–2017. In all states, state-level surveillance data was consistently lower than estimates of initial ED visits, suggesting even states with robust PEP surveillance may not adequately capture individuals who receive PEP. Conclusions Our findings suggest that making PEP a nationally reportable condition may not be feasible. Other methods of tracking administration of PEP such as syndromic surveillance or identification of sentinel states should be considered to obtain an accurate assessment.

scholarly journals An indirect method to monitor the fraction of people ever infected with COVID-19: An application to the United States

PLoS ONE ◽  
2021 ◽  
Vol 16 (1) ◽  
pp. e0245845
Author(s):  
Miguel Sánchez-Romero ◽  
Vanessa di Lego ◽  
Alexia Prskawetz ◽  
Bernardo L. Queiroz
Keyword(s):  
New York ◽  
New Jersey ◽  
Large Scale ◽  
Total Population ◽  
Case Fatality ◽  
The United States ◽  
Complementary Approach ◽  
Large Scale Testing ◽  
Asymptomatic Individuals ◽  
Testing Policies

The number of COVID-19 infections is key for accurately monitoring the pandemics. However, due to differential testing policies, asymptomatic individuals and limited large-scale testing availability, it is challenging to detect all cases. Seroprevalence studies aim to address this gap by retrospectively assessing the number of infections, but they can be expensive and time-intensive, limiting their use to specific population subgroups. In this paper, we propose a complementary approach that combines estimated (1) infection fatality rates (IFR) using a Bayesian melding SEIR model with (2) reported case-fatality rates (CFR) in order to indirectly estimate the fraction of people ever infected (from the total population) and detected (from the ever infected). We apply the technique to the U.S. due to their remarkable regional diversity and because they count with almost a quarter of all global confirmed cases and deaths. We obtain that the IFR varies from 1.25% (0.39–2.16%, 90% CI) in Florida, the most aged population, to 0.69% in Utah (0.21–1.30%, 90% CI), the youngest population. By September 8, 2020, we estimate that at least five states have already a fraction of people ever infected between 10% and 20% (New Jersey, New York, Massachussets, Connecticut, and District of Columbia). The state with the highest estimated fraction of people ever infected is New Jersey with 17.3% (10.0, 55.8, 90% CI). Moreover, our results indicate that with a probability of 90 percent the fraction of detected people among the ever infected since the beginning of the epidemic has been less than 50% in 15 out of the 20 states analyzed in this paper. Our approach can be a valuable tool that complements seroprevalence studies and indicates how efficient have testing policies been since the beginning of the outbreak.

scholarly journals Crisis leadership during COVID-19: the role of governors in the United States

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Abdul-Akeem Sadiq ◽  
Naim Kapucu ◽  
Qian Hu
Keyword(s):  
United States ◽  
Decision Making ◽  
New York ◽  
Local Governments ◽  
The United States ◽  
Mitigation Strategies ◽  
Communication Strategy ◽  
Crisis Leadership ◽  
Mitigation Measures ◽  
Content Type

PurposeThe purpose of this viewpoint article is to understand crisis leadership during COVID-19 by examining the decision-making with respect to implementing COVID-19 mitigation measures, collaboration with stakeholders, and communication strategies of the governors of the States of California, Texas, Florida, and New York in the United States.Design/methodology/approachThis viewpoint article employs information from the extant literature on crisis leadership and secondary sources to understand the four governor's crisis leadership strategies during COVID-19.FindingsGovernors Gavin Newsom of California and Andrew Cuomo of New York made quicker decisions regarding implementing COVID-19 mitigation measures (e.g. shutting down the economy, mandating physical distancing, issuing stay-at-home orders, mandating wearing face covering in public and issuing a state of emergency) compared to Governors Greg Abbott of Texas and Ron DeSantis of Florida. In addition, all four governors collaborated with state and local governments, private entities, and nonprofits to address COVID-19. Finally, all four governors held some form of briefing on COVID-19 on a regular basis and used different media to get their information out to the public.Originality/valueThis viewpoint article uses decision-making regarding implementation of mitigation strategies, collaboration with stakeholders, and crisis communication strategy to understand governors' crisis leadership during COVID-19.

Framing Egg Donation at the State Level

2018 ◽  
pp. 80-113
Author(s):  
Erin Heidt-Forsythe
Keyword(s):  
United States ◽  
New York ◽  
Narrative Analysis ◽  
State Level ◽  
The United States ◽  
The State ◽  
Egg Donation ◽  
Policy Area ◽  
Case Selection ◽  
Unique System

This chapter begins a response to the questions of what creates the unique system of egg donation regulations by examining the ways that stakeholders—legislators, advocates, scientists, and invested citizens—frame the issue of egg donation in reproduction and research. I explore one policy area of egg donation politics in the United States, compensation in California, New York, Arizona, and Louisiana between 1990 and 2010. This chapter explores and illuminates framing processes about egg donation through explaining the method of policy narrative analysis, case selection, and political contexts in each state.

Population Data for Students with Visual Impairments in the United States

2021 ◽  
pp. 0145482X2110161
Author(s):  
Rachel Anne Schles
Keyword(s):  
United States ◽  
Count Data ◽  
Total Population ◽  
Visual Impairments ◽  
State Level ◽  
Population Data ◽  
The United States ◽  
School Year ◽  
Primary Disability ◽  
Population Counts

Introduction: The purpose of this study was to determine how many young children and students (birth to 22 years old) were identified with visual impairments and receiving special education services in the United States. Professionals estimate at least 50% of students with visual impairments have additional disabilities and are not identified as having a visual impairments for the purposes of the federal Child Count census; therefore, the differences between Child Count and states’ total population counts were explored. Methods: A mixed-methods survey was sent to each U.S. state to determine the total population of students with visual impairments (birth to 22 years old) during the 2016–2017 school year. Results: The 49 responding states reported an average total population four times greater than the number of students with visual impairments than were documented in Child Count data. Many states had limited or no data on their total population of students with visual impairments. Discussion: The findings demonstrate many states are making policy and administrative decisions based on Child Count data not their total population data of students with visual impairments (e.g., planning for 100 students with a primary disability of visual impairments rather than a total population of 405 students with visual impairments). Misuse of Child Count data contributes to underfunding and under-hiring of teachers of students with visual impairments and orientation and mobility instructors. How to address these issues at a systemic level so all students with visual impairments receive appropriate access to resources and quality instruction is also discussed. Implications for practitioners: Practitioners can use available population data across states to educate decision makers at local and state levels regarding the differences between Child Count and total population data for students with visual impairments. Statewide vision programs can also circumvent limited data collection programs at the state level by developing their own systems for total population counts of students with visual impairments.

A Mixed-Methods Analysis of State-Level Population Data for Students With Visual Impairment and Blindness

2021 ◽  
pp. 001440292110174
Author(s):  
Rachel Anne Schles ◽  
Tessa McCarthy ◽  
Karen Blankenship ◽  
Justin Coy
Keyword(s):  
Students With Disabilities ◽  
Total Population ◽  
Visual Impairments ◽  
State Level ◽  
Population Data ◽  
The United States ◽  
Key Factors ◽  
School Year ◽  
State Administrators ◽  
Federal Mandate

The prevalence of students with visual impairments varies across the United States, yet limited analysis exists on how many students receive special education services. The following study collected population data on students with visual impairments for the 2017–2018 school year and ran focus groups with state-level administrators to understand current and future options to collect population data. Twenty-three of 50 states responding to the survey reported total population data. On average, states supported 3.6 times the number of students with visual impairments reported in their federal Child Count data reports. State administrators agreed a federal mandate requiring states to collect total population data on students with visual impairments is needed. The ramifications of preparing for and supporting an unknown population of students with disabilities was discussed. A federal mandate for total population data collection is unlikely in the near future. Therefore, practical implications, including key factors and logistics, that state administrators should consider are outlined.

scholarly journals Creating COVID-19 Stigma by Referencing the Novel Coronavirus as the “Chinese virus” on Twitter: Quantitative Analysis of Social Media Data (Preprint)

2020 ◽  
Author(s):  
Henna Budhwani ◽  
Ruoyan Sun
Keyword(s):  
New York ◽  
Quantitative Analysis ◽  
National Level ◽  
State Level ◽  
Fold Increase ◽  
The United States ◽  
The Novel ◽  
Structural Force ◽  
Novel Coronavirus ◽  
Derivatives Of

BACKGROUND Stigma is the deleterious, structural force that devalues members of groups that hold undesirable characteristics. Since stigma is created and reinforced by society—through in-person and online social interactions—referencing the novel coronavirus as the “Chinese virus” or “China virus” has the potential to create and perpetuate stigma. OBJECTIVE The aim of this study was to assess if there was an increase in the prevalence and frequency of the phrases “Chinese virus” and “China virus” on Twitter after the March 16, 2020, US presidential reference of this term. METHODS Using the Sysomos software (Sysomos, Inc), we extracted tweets from the United States using a list of keywords that were derivatives of “Chinese virus.” We compared tweets at the national and state levels posted between March 9 and March 15 (preperiod) with those posted between March 19 and March 25 (postperiod). We used Stata 16 (StataCorp) for quantitative analysis, and Python (Python Software Foundation) to plot a state-level heat map. RESULTS A total of 16,535 “Chinese virus” or “China virus” tweets were identified in the preperiod, and 177,327 tweets were identified in the postperiod, illustrating a nearly ten-fold increase at the national level. All 50 states witnessed an increase in the number of tweets exclusively mentioning “Chinese virus” or “China virus” instead of coronavirus disease (COVID-19) or coronavirus. On average, 0.38 tweets referencing “Chinese virus” or “China virus” were posted per 10,000 people at the state level in the preperiod, and 4.08 of these stigmatizing tweets were posted in the postperiod, also indicating a ten-fold increase. The 5 states with the highest number of postperiod “Chinese virus” tweets were Pennsylvania (n=5249), New York (n=11,754), Florida (n=13,070), Texas (n=14,861), and California (n=19,442). Adjusting for population size, the 5 states with the highest prevalence of postperiod “Chinese virus” tweets were Arizona (5.85), New York (6.04), Florida (6.09), Nevada (7.72), and Wyoming (8.76). The 5 states with the largest increase in pre- to postperiod “Chinese virus” tweets were Kansas (n=697/58, 1202%), South Dakota (n=185/15, 1233%), Mississippi (n=749/54, 1387%), New Hampshire (n=582/41, 1420%), and Idaho (n=670/46, 1457%). CONCLUSIONS The rise in tweets referencing “Chinese virus” or “China virus,” along with the content of these tweets, indicate that knowledge translation may be occurring online and COVID-19 stigma is likely being perpetuated on Twitter.

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