scholarly journals COVID-19 cases and hospitalizations averted by case investigation and contact tracing in the United States

Author(s):  
Gabriel Rainisch ◽  
Seonghye Jeon ◽  
Danielle Pappas ◽  
Kimberly Spencer ◽  
Leah S Fischer ◽  
...  

Importance: Evidence of the impact of COVID-19 Case Investigation and Contact Tracing (CICT) programs is lacking. Policymakers need this evidence to assess its value. Objective: Estimate COVID-19 cases and hospitalizations averted nationwide by US states' CICT programs. Design: We combined data from US CICT programs (e.g., proportion of cases interviewed, contacts notified or monitored, and days to case and contact notification) with incidence data to model CICT impacts over 60 days period (November 25, 2020 to January 23, 2021) during the height of the pandemic. We estimated a range of impacts by varying assumed compliance with isolation and quarantine recommendations. Setting: US States and Territories Participants: Fifty-nine state and territorial health departments that received federal funding supporting COVID-19 pandemic response activities were eligible for inclusion. Of these, 22 states and 1 territory reported all measures necessary for the analysis. These 23 jurisdictions covered 42.5% of the US population (140 million persons), spanned all 4 census regions, and reported data that reflected all 59 federally funded CICT programs. Intervention: Public health case investigation and contact tracing Main Outcomes and Measures: Cases and hospitalizations averted; percent of cases averted among cases not prevented by vaccination and other non-pharmaceutical interventions (other NPIs). Results: We estimated 1.11 million cases and 27,231 hospitalizations were averted by CICT programs under a scenario where 80% of interviewed cases and monitored contacts, and 30% of notified contacts fully complied with isolation and quarantine guidance, eliminating their contributions to future transmission. As many as 1.36 million cases and 33,527 hospitalizations could have been prevented if all interviewed cases and monitored contacts had entered into and fully complied with isolation and quarantine guidelines upon being interviewed or notified. Across all scenarios and jurisdictions, CICT averted a median of 21.2% (range: 1.3% - 65.8%) of the cases not prevented by vaccination and other NPIs. Conclusions and Relevance: CICT programs likely had a substantial role in curtailing the pandemic in most jurisdictions during the winter 2020-2021 peak. Differences in impact across jurisdictions indicate an opportunity to further improve CICT effectiveness. These estimates demonstrate the potential benefits from sustaining and improving these programs.

2009 ◽  
Vol 11 ◽  
pp. 211-246
Author(s):  
Catherine Donnelly

AbstractThe aim of this chapter is to assess what, if anything, administrative law can demonstrate about multi-level administration in the European Union and the United States. The particular focus of the examination is not on the content of administrative law in each legal order, but rather on the impact of EU and US federal administrative law on the Member States and US States respectively. It will be seen that, while US federal administrative law has primarily only influential effect on US States, EU administrative law is often binding on Member States. This observation challenges presumptions often made, particularly in political science, as to the degrees of inter-penetration in administration in the EU and the US. It will be argued that the cause of divergence is largely derived from differing judicial attitudes as to the fundamental tenets of the co-operation between the different levels of administration, and indeed, more general understandings of federalism in the two jurisdictions. In this way, this study also provides a useful prism through which to consider integration in the EU and US more broadly.


2009 ◽  
Vol 11 ◽  
pp. 211-246
Author(s):  
Catherine Donnelly

Abstract The aim of this chapter is to assess what, if anything, administrative law can demonstrate about multi-level administration in the European Union and the United States. The particular focus of the examination is not on the content of administrative law in each legal order, but rather on the impact of EU and US federal administrative law on the Member States and US States respectively. It will be seen that, while US federal administrative law has primarily only influential effect on US States, EU administrative law is often binding on Member States. This observation challenges presumptions often made, particularly in political science, as to the degrees of inter-penetration in administration in the EU and the US. It will be argued that the cause of divergence is largely derived from differing judicial attitudes as to the fundamental tenets of the co-operation between the different levels of administration, and indeed, more general understandings of federalism in the two jurisdictions. In this way, this study also provides a useful prism through which to consider integration in the EU and US more broadly.


2007 ◽  
Vol 25 (18_suppl) ◽  
pp. 1533-1533
Author(s):  
P. Ravdin ◽  
K. A. Cronin ◽  
N. Howlader ◽  
C. D. Berg ◽  
E. J. Feuer ◽  
...  

1533 Background: We have recently reported that a steep decrease in the incidence of breast cancer occurred in the United States in 2003 relative to 2002 (BCRT 100: S5, 2006). This decrease was most evident in patients older than 50, and largely occurred because of a decrease in the incidence of estrogen receptor positive breast cancer. This decrease occurred after the report in 2002 of the results of first of the Women s Health Initiative trials of postmenopausal hormone therapy (HT). This publication showed that use of a combined estrogen/progestin combination was associated with increased risk of breast cancer and heart disease and led to an immediate and substantial decrease in the use of HT in the US. Dramatic shifts in breast cancer incidence are unusual, and provide unique opportunities to test models that have been developed to explain trends in breast cancer incidence and mortality. We have been engaged in modeling trends in breast cancer incidence and mortality, in collaborative effects such as the Cancer Intervention and Surveillance Modeling Network (CISNET), to understand these and other processes (NEJM 353:1784–1792,2005). These models have practical implications for understanding the impact of changes in risk factors, use of prevention strategies, screening, and treatment of breast cancer. Methods: SEER public use incidence data from 1990 to the end of 2003 will be updated with information from the release in the spring of 2007 of incidence data for 2004. We will analyze the full data set through 2004 and report on the trends in incidence of breast cancer in the population as a whole and by subsets (such as age, estrogen receptor status, stage etc). We will also use the most recent and detailed data about HT use and screening mammography during this period as part of modeling. Results: We are awaiting SEER data from 2004 which will be released by April of 2007. Conclusions: Our first SEER based multi-year analysis of breast cancer incidence following the change in HT use in the US will be presented. Modeling of these trends in incidence will be discussed in the context of understanding the role of various contributors to the change in breast cancer incidence and what insights on the evolution of preclinical disease might be possible. No significant financial relationships to disclose.


2021 ◽  
Author(s):  
Seonghye Jeon ◽  
Gabriel Rainisch ◽  
Ryan Lash ◽  
Patrick K Moonan ◽  
John E Oeltmann ◽  
...  

Context: The implementation of case investigation and contact tracing (CICT) for controlling COVID-19 (caused by SARS-Cov-2 virus) has proven challenging due to varying levels of public acceptance and initially constrained resources, especially enough trained staff. Evaluating the impacts of CICT will aid efforts to improve such programs. Objectives: Estimate the number of COVID-19 cases and hospitalizations averted by CICT and identify CICT processes that could improve overall effectiveness. Design: We used data on proportion of cases interviewed, contacts notified or monitored, and days from testing to contact notification from 14 jurisdictions to model the impact of CICT on cumulative cases counts and hospitalizations over a 60-day period. Using the Centers for Disease Control and Prevention (CDC)'s COVIDTracer tool, we estimated a range of impacts by assuming either contacts would quarantine only if monitored or would do so upon notification of potential exposure. We also varied the observed program metrics to assess their relative influence. Results: Performance by jurisdictions varied widely. Jurisdictions isolated between 12 and 86% of cases (including contacts which became cases) within 6 to 10 days after exposure-and-infection. We estimated that CICT-related reductions in transmission ranged from 0.4% to 32%. For every 100 cases prevented by nonpharmaceutical interventions, CICT averted between 4 and 97 additional cases. Reducing time to case isolation by one day increased averted case estimates by up to 15 percentage points. Increasing the proportion of cases interviewed or contacts notified by 20 percentage points each resulted in at most 3 or 6 percentage point improvements in averted cases. Conclusions: We estimated that case investigation and contact tracing reduced the number of COVID-19 cases and hospitalizations among all jurisdictions studied. Reducing time to isolation produced the greatest improvements in impact of CICT.


2021 ◽  
pp. e1-e7
Author(s):  
Deborah Holtzman ◽  
Alice K. Asher ◽  
Sarah Schillie

Hepatitis C virus (HCV) infection remains an important cause of morbidity and mortality throughout the world, leading to serious health problems among those who are chronically infected. Since 1992, the Centers for Disease Control and Prevention has been collecting data on the incidence of HCV infection in the United States. In 2018, more than 50 000 individuals were estimated to have acute HCV infection. The most recently reported data on the prevalence of infection indicate that approximately 2.4 million people are living with hepatitis C in the United States. Transmission of HCV occurs predominantly through sharing contaminated equipment for injecting drugs. Two major events have had a significant impact on the incidence and prevalence of hepatitis C in the past few decades: the US opioid crisis and the discovery of curative treatments for HCV infection. To better understand the impact of these events, we examine reported trends in the incidence and prevalence of infection. (Am J Public Health. Published online ahead of print March 18, 2021: e1–e7. https://doi.org/10.2105/AJPH.2020.306149 )


2020 ◽  
Author(s):  
Charit Samyak Narayanan

AbstractThe COVID-19 contagion has developed at an alarming rate in the US and as of April 24, 2020, tens of thousands of people have already died from the disease. In the event of an outbreak like such, forecasting the extent of the mortality that will occur is crucial to aid the implementation of effective interventions. Mortality depends on two factors: the case fatality rate and the case incidence. We combine a cohort-based model that determines case fatality rates along with a modified logistic model that evaluates the case incidence to determine the number of deaths in all the US states over time; the model is also able to include the impact of interventions. Both models yield exceptional goodness-of-fit. The model predicted a range of death outcomes (79k to 246k) all of which are considerably greater than the figures presented in mainstream media. This model can be used more effectively than current models to estimate the number of deaths during an outbreak, allowing for better planning.


Author(s):  
Aref Emamian

This study examines the impact of monetary and fiscal policies on the stock market in the United States (US), were used. By employing the method of Autoregressive Distributed Lags (ARDL) developed by Pesaran et al. (2001). Annual data from the Federal Reserve, World Bank, and International Monetary Fund, from 1986 to 2017 pertaining to the American economy, the results show that both policies play a significant role in the stock market. We find a significant positive effect of real Gross Domestic Product and the interest rate on the US stock market in the long run and significant negative relationship effect of Consumer Price Index (CPI) and broad money on the US stock market both in the short run and long run. On the other hand, this study only could support the significant positive impact of tax revenue and significant negative impact of real effective exchange rate on the US stock market in the short run while in the long run are insignificant. Keywords: ARDL, monetary policy, fiscal policy, stock market, United States


Horticulturae ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. 82
Author(s):  
Amandeep Kaur ◽  
Louise Ferguson ◽  
Niels Maness ◽  
Becky Carroll ◽  
William Reid ◽  
...  

Pecan is native to the United States. The US is the world’s largest pecan producer with an average yearly production of 250 to 300 million pounds; 80 percent of the world’s supply. Georgia, New Mexico, Texas, Arizona, Oklahoma, California, Louisiana, and Florida are the major US pecan producing states. Pecan trees frequently suffer from spring freeze at bud break and bloom as the buds are quite sensitive to freeze damage. This leads to poor flower and nut production. This review focuses on the impact of spring freeze during bud differentiation and flower development. Spring freeze kills the primary terminal buds, the pecan tree has a second chance for growth and flowering through secondary buds. Unfortunately, secondary buds have less bloom potential than primary buds and nut yield is reduced. Spring freeze damage depends on severity of the freeze, bud growth stage, cultivar type and tree age, tree height and tree vigor. This review discusses the impact of temperature on structure and function of male and female reproductive organs. It also summarizes carbohydrate relations as another factor that may play an important role in spring growth and transition of primary and secondary buds to flowers.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Corentin Cot ◽  
Giacomo Cacciapaglia ◽  
Francesco Sannino

AbstractWe employ the Google and Apple mobility data to identify, quantify and classify different degrees of social distancing and characterise their imprint on the first wave of the COVID-19 pandemic in Europe and in the United States. We identify the period of enacted social distancing via Google and Apple data, independently from the political decisions. Our analysis allows us to classify different shades of social distancing measures for the first wave of the pandemic. We observe a strong decrease in the infection rate occurring two to five weeks after the onset of mobility reduction. A universal time scale emerges, after which social distancing shows its impact. We further provide an actual measure of the impact of social distancing for each region, showing that the effect amounts to a reduction by 20–40% in the infection rate in Europe and 30–70% in the US.


Author(s):  
Sergio Petralia

Abstract The pervasive diffusion of electricity-related technologies at the beginning of the twentieth century has been studied extensively to understand the transformative potential of general purpose technologies (GPTs). Most of what we know, however, has been investigated in relation to the diffusion of their use. This article provides evidence on the county-level economic impact of the technological adoption of electrical and electronic (E&E) technologies in the 1920s in the United States (US). It focuses on measuring the impact of a GPT on technological adopters, i.e., those who are able to develop, transform, and complement it. It is shown that places with patenting activity in E&E technologies grew faster and paid higher wages than others between 1920 and 1930. This analysis required constructing a novel database identifying detailed geographical information for historical patent documents in the US since 1836, as well as developing a text-mining algorithm to identify E&E patents based on patent descriptions.


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