scholarly journals The Effect of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Mitigation Strategies on Seasonal Respiratory Viruses: A Tale of 2 Large Metropolitan Centers in the United States

Author(s):  
Amy C Sherman ◽  
Ahmed Babiker ◽  
Andrew J Sieben ◽  
Alexander Pyden ◽  
James Steinberg ◽  
...  

Abstract To assess the impact of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic on seasonal respiratory viruses, absolute case counts and viral reproductive rates from 2019–2020 were compared against previous seasons. Our findings suggest that the public health measures implemented to reduce SARS-CoV-2 transmission significantly reduced the transmission of other respiratory viruses.

2020 ◽  
Author(s):  
Amy C. Sherman ◽  
Ahmed Babiker ◽  
Andrew J. Sieben ◽  
Alexander Pyden ◽  
James Steinberg ◽  
...  

AbstractTo assess the impact of the SARS-CoV-2 pandemic on seasonal respiratory viruses, absolute case counts and viral reproductive rates from 2019-2020 were compared against previous seasons. Our findings suggest that the public health measures implemented to reduce SARS-CoV-2 transmission significantly reduced the transmission of other respiratory viruses.


Author(s):  
Pei Jun Zhao

AbstractIn the COVID-19 coronavirus pandemic, currently vaccines and specific anti-viral treatment are not yet available. Thus, preventing viral transmission by case isolation, quarantine, and social distancing is essential to slowing its spread. Here we model social networks using weighted graphs, where vertices represent individuals and edges represent contact. As public health measures are implemented, connectivity in the graph decreases, resulting in lower effective reproductive numbers, and reduced viral transmission. For COVID-19, model parameters were derived from the coronavirus epidemic in China, validated by epidemic data in Italy, then applied to the United States. We calculate that, in the U.S., the public is able to contain viral transmission by limiting the average number of contacts per person to less than 7 unique individuals over each 5 day period. This increases the average social distance between individuals to 10 degrees of separation.


2021 ◽  
pp. e1-e7
Author(s):  
William Riley ◽  
Kailey Love ◽  
Jeffrey McCullough

The COVID-19 pandemic has precipitated an acute blood shortage for medical transfusions, exacerbating an already tenuous blood supply system in the United States, contributing to the public health crisis, and raising deeper questions regarding emergency preparedness planning for ensuring blood availability. However, these issues around blood availability during the pandemic are related primarily to the decline in supply caused by reduced donations during the pandemic rather than increased demand for transfusion of patients with COVID-19. The challenges to ensure a safe blood supply during the pandemic will continue until a vaccine is developed, effective treatments are available, or the virus goes away. If this virus or a similar virus were capable of transmission through blood, it would have a catastrophic impact on the health care system, causing a future public health emergency that would jeopardize the national blood supply. In this article, we identify the impact of the COVID-19 pandemic on blood supply adequacy, discuss the public health implications, propose recovery strategies, and present recommendations for preparing for the next disruption in blood supply driven by a public health emergency. (Am J Public Health. Published online ahead of print March 18, 2021: e1–e7. https://doi.org/10.2105/AJPH.2021.306157 )


2021 ◽  
pp. 1-20
Author(s):  
Haixu Xi ◽  
Chengzhi Zhang ◽  
Yi Zhao ◽  
Sheng He

Abstract Since the end of 2019, the ongoing of COVID-19 outbreak worldwide not only challenges the management capacity of governments on the public health emergency, but also tests the management capacity of governments on the public opinion and the governance capacity of dealing with social emergencies. To understand the impact on public emotion over COVID-19 related tweets posted by the major public health agency in the United States, this paper study the process and characteristics of public emotional diffusion in the tweets network by taking the four-official Twitter users of the public health system in the United States as an example. In this paper, we extract the interactions between tweets in the COVID-19-TweetIds dataset, draw the tweets diffusion network, propose a method to measure the characteristics of the emotional diffusion network, analyze the changes of the public emotional intensity and the proportion of emotional polarity, investigate the emotional influence of key nodes and users in the process of tweet emotional diffusion, and study the emotional diffusion of tweets of different tweeting time periods, topics and institutions. The results show that the emotional polarity of tweets has changed from negative to positive with the improvement of pandemic management measures. The public's emotional polarity on pandemic related topics tends to be negative, and the emotional intensity of management measures such as pandemic medical services turn from positive to negative to the greatest extent, while the emotional intensity of pandemic related knowledge changes the most. The tweets posted by the Centers for Disease Control and Prevention and the Food and Drug Administration of the United States have a broad impact on public emotions, and the emotional spread of tweets' polarity eventually forms a very close proportion of opposite emotions.


2020 ◽  
Author(s):  
Ernst J. Schaefer ◽  
Andrew S. Geller ◽  
Latha Dulipsingh ◽  
Margaret R. Diffenderfer ◽  
Jeffrey Wisotzkey ◽  
...  

ABSTRACTSevere acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection has been associated with a worldwide pandemic. We assessed data as of November 25, 2020 from our combined laboratories and as reported for states in the United States (US) and countries for case, death, and testing rates per million to determine causes of rate differences. SARS-CoV-2 naso-pharyngeal (NP) RNA testing in 1,179,912 subjects in 47 states (39 of which with >100 cases) are reported, with a mean 9.3% positive rate, comparable to the 7.0% rate reported nationwide. In 91 previously positive (2-4 weeks) subjects, NP swab testing was twice as likely to be positive (58.6%) as saliva samples (21.5%). We also documented that NP swabs could remain positive for 6 weeks or longer. Our positive rates per state agreed reasonably well with reported national data (r=0.609, P<0.0001). The highest US case rates per million were in the mid-west; the highest death and testing rates were in the northeast. Of 47 countries, the highest case, death, and testing rates per million were mainly in Europe and the Americas, with the lowest rates in Asia. Correlations between case and death rates and case and testing rates were very different between states (0.076 and -0.093, respectively) and countries (0.763 and 0.600, respectively). In conclusion, outpatient saliva testing was not as sensitive as NP testing for detection, and the marked variability in case and death rates was most likely due to differences in public health measures, viral and human genetic differences and age of cases, rather than due to differences in testing rates.


2020 ◽  
Author(s):  
Yasmin Khajenoori ◽  
Lina Kamil ◽  
Joyita Bhattacharjee ◽  
Ellie Feng ◽  
Sanvi Pal

In response to the spread of COVID-19 in the United States, every state has utilized varying degrees of public health policies yielding different trends in the number of cases. Due to the lack of a unified approach taken in response to the global pandemic in the United States, we can look at the general trends in case numbers from different states in the context of the public health measures that have been implemented. Through the use of multiple databases, we collected data from each states health department websites and policy data came from the COVID-19 US State Policy Database on the CDR, as well as the KFF state policy database in order to graph the number of daily new cases in three different states while marking the dates when the certain policies were implemented. The scope of this particular review focuses on California, New York, and Texas, each of which have taken different approaches and are reflective of three different areas of the continental United States. The four policies that are analyzed include shelter in place orders, mask mandates, the closure and reopening of non-essential businesses, and the closure and reopening of restaurants for in person dining. To further understand the reopening strategies of these three states, we have utilized the “National Coronavirus Response: A Roadmap to Reopening” guide to compare the points at which each state decided to open considering testing capacity, contact tracing, and case numbers/trend in cases at that point in time. Based on this data, we comparatively analyzed trends in cases and policy measures, taking into account other factors like tracing and testing capacity to evaluate the appropriateness of each state’s measures in its overall goal of reopening. Overall, we have found New York which began as the hotspot for COVID-19 cases, to ultimately be the most successful state in regard to reducing the number of daily new cases and surpassing goals for contact tracing and testing. Conversely California, which began as a success story, has seen a sharp rise in cases after moving into phases of reopening. Similarly, Texas has also seen a rise in cases over recent months with the relaxation of public health measures before meeting the markers for reopening. Both California and Texas have been far behind on testing and contact tracing capabilities. Not only abiding by public health policy recommendations but also being consistent with these measures throughout the course of the pandemic are correlated with lower numbers of cases when comparing New York with California and Texas. This finding implies that for future pandemics, and moving forward with the current pandemic, extreme caution should be taken in timing public health measures and tracking cases.


1994 ◽  
Vol 21 (1) ◽  
pp. 255-273 ◽  
Author(s):  
Onker N. Basu

In accounting research, the role of organizational leaders has been underrepresented. The limited research dealing with leadership issues has focused on the impact of leadership on micro activities such as performance evaluation, budget satisfaction, and audit team performance. The impact of leadership on the structure of accounting and audit systems and organizations has been ignored. This paper focuses on the impact that past Comptrollers General have had on the working and structure of one federal audit agency, the United States General Accounting Office (GAO). In addition, it also focuses on the influence of the two most recent Comptrollers General on one important audit related activity, i.e., the audit report review process. Using qualitative field research methods, this paper documents how the organizational leadership impacts its long-term audit practices and thereby influences auditing, especially in the public sector.


2021 ◽  
pp. 1-6
Author(s):  
Matias López ◽  
Juan Pablo Luna

ABSTRACT By replying to Kurt Weyland’s (2020) comparative study of populism, we revisit optimistic perspectives on the health of American democracy in light of existing evidence. Relying on a set-theoretical approach, Weyland concludes that populists succeed in subverting democracy only when institutional weakness and conjunctural misfortune are observed jointly in a polity, thereby conferring on the United States immunity to democratic reversal. We challenge this conclusion on two grounds. First, we argue that the focus on institutional dynamics neglects the impact of the structural conditions in which institutions are embedded, such as inequality, racial cleavages, and changing political attitudes among the public. Second, we claim that endogeneity, coding errors, and the (mis)use of Boolean algebra raise questions about the accuracy of the analysis and its conclusions. Although we are skeptical of crisp-set Qualitative Comparative Analysis as an adequate modeling choice, we replicate the original analysis and find that the paths toward democratic backsliding and continuity are both potentially compatible with the United States.


2021 ◽  
pp. 003335492097842
Author(s):  
Jo Marie Reilly ◽  
Christine M. Plepys ◽  
Michael R. Cousineau

Objective A growing need exists to train physicians in population health to meet the increasing need and demand for physicians with leadership, health data management/metrics, and epidemiology skills to better serve the health of the community. This study examines current trends in students pursuing a dual doctor of medicine (MD)–master of public health (MPH) degree (MD–MPH) in the United States. Methods We conducted an extensive literature review of existing MD–MPH databases to determine characteristics (eg, sex, race/ethnicity, MPH area of study) of this student cohort in 2019. We examined a trend in the MD community to pursue an MPH career, adding additional public health and health care policy training to the MD workforce. We conducted targeted telephone interviews with 20 admissions personnel and faculty at schools offering MD–MPH degrees in the United States with the highest number of matriculants and graduates. Interviews focused on curricula trends in medical schools that offer an MD–MPH degree. Results No literature describes the US MD–MPH cohort, and available MD–MPH databases are limited and incomplete. We found a 434% increase in the number of students pursuing an MD–MPH degree from 2010 to 2018. The rate of growth was greater than the increase in either the number of medical students (16%) or the number of MPH students (65%) alone. Moreover, MD–MPH students as a percentage of total MPH students more than tripled, from 1.1% in 2010 to 3.6% in 2018. Conclusions As more MD students pursue public health training, the impact of an MPH degree on medical school curricula, MD–MPH graduates, and MD–MPH career pursuits should be studied using accurate and comprehensive databases.


Author(s):  
Olukayode James Ayodeji ◽  
Seshadri Ramkumar

The COVID-19 pandemic has been one of the biggest public health challenges of the 21st century. Many prevalent measures have been taken to prevent its spread and protect the public. However, the use of face coverings as an effective preventive measure remains contentious. The goal of the current study is to evaluate the effectiveness of face coverings as a protective measure. We examined the effectiveness of face coverings between 1 April and 31 December 2020. This was accomplished by analyzing trends of daily new COVID-19 cases, cumulative confirmed cases, and cases per 100,000 people in different U.S. states, including the District of Columbia. The results indicated a sharp change in trends after face covering mandates. For the 32 states with face covering mandates, 63% and 66% exhibited a downward trend in confirmed cases within 21 and 28 days of implementation, respectively. We estimated that face covering mandates in the 32 states prevented approximately 78,571 and 109,703 cases within 21- and 28-day periods post face covering mandate, respectively. A statistically significant (p = 0.001) negative correlation (−0.54) was observed between the rate of cases and days since the adoption of a face covering mandate. We concluded that the use of face coverings can provide necessary protection if they are properly used.


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