scholarly journals Statistical Analysis to find an Impact of Temperature on novel Coronavirus

2020 ◽  
Author(s):  
Chesta Dhingra
Keyword(s):  
New York ◽  
New York City ◽  
Statistical Analysis ◽  
Hot Spots ◽  
Statistical Test ◽  
Know How ◽  
Novel Coronavirus ◽  
The Impact ◽  
Statistical Results

The study tries to explain the impact of high temperature on the number of confirmed cases by excluding all measures that have been taken by specific governments in certain global hot spots like New York City, Lombardy, Madrid (Spain) and Maharashtra. Some statistical analysis like F-statistical test, ANOVA and t-test have been performed to know how much variance is there among the regions for the parameters 1) proportion of cumulative confirmed cases to the whole population and 2) mean temperature. The analysis includes graphs to have a clear visualization at a first glance for all four zones that have been taken for case study and ends with the all statistical results, discussion and conclusion of the tests that have been performed.

scholarly journals Covid-19 and Inequity: A comparative spatial analysis of New York City and Chicago hot spots

2020 ◽  
Author(s):  
Andrew Maroko ◽  
Denis Nash ◽  
Brian Pavilonis
Keyword(s):  
New York ◽  
New York City ◽  
Social Determinants Of Health ◽  
Social Determinants ◽  
York City ◽  
Hot Spots ◽  
Determinants Of Health ◽  
Cold Spots ◽  
The Impact ◽  
Zip Code

AbstractThere have been numerous reports that the impact of the ongoing COVID-19 epidemic has disproportionately impacted traditionally vulnerable communities, including well-researched social determinants of health, such as racial and ethnic minorities, migrants, and the economically challenged. The goal of this ecological cross-sectional study is to examine the demographic and economic nature of spatial hot and cold spots of SARS-CoV-2 rates in New York City and Chicago as of April 13, 2020.In both cities, cold spots (clusters of low SARS-CoV-2 rate ZIP code tabulation areas) demonstrated typical protective factors associated with the social determinants of health and the ability to social distance. These neighborhoods tended to be wealthier, have higher educational attainment, higher proportions of non-Hispanic white residents, and more workers in managerial occupations. Hot spots (clusters of high SARS-CoV-2 rate ZIP code tabulation areas) also had similarities, such as lower rates of college graduates and higher proportions of people of color. It also appears to be larger households (more people per household), rather than overall population density, that may to be a more strongly associated with hot spots.Findings suggest important differences between the cities’ hot spots as well. They can be generalized by describing the NYC hot spots as working-class and middle-income communities, perhaps indicative of service workers and other occupations (including those classified as “essential services” during the pandemic) that may not require a college degree but pay wages above poverty levels. Chicago’s hot spot neighborhoods, on the other hand, are among the city’s most vulnerable, low-income neighborhoods with extremely high rates of poverty, unemployment, and non-Hispanic Black residents.

scholarly journals A Case Study of the Impact of Inaccurate Cause-of-Death Reporting on Health Disparity Tracking: New York City Premature Cardiovascular Mortality

2013 ◽  
Vol 103 (4) ◽  
pp. 733-739 ◽  
Author(s):  
Lauren E. Johns ◽  
Ann M. Madsen ◽  
Gil Maduro ◽  
Regina Zimmerman ◽  
Kevin Konty ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Cause Of Death ◽  
Cardiovascular Mortality ◽  
York City ◽  
Health Disparity ◽  
The Impact

scholarly journals Longitudinal Quantitative Analysis of Radiation Oncology Staff Illness in a New York City Center during COVID-19: The Impact of New Guidelines on Operations and Employee Health

2020 ◽  
Vol 7 (1) ◽  
pp. 21-27
Author(s):  
Shaakir Hasan ◽  
Robert H. Press ◽  
Arpit Chhabra ◽  
J. Isabelle Choi ◽  
Charles B. Simone
Keyword(s):  
New York ◽  
New York City ◽  
Radiation Oncology ◽  
York City ◽  
Work Hours ◽  
Full Time ◽  
Operational Policies ◽  
Full Capacity ◽  
Novel Coronavirus ◽  
The Impact

Abstract Purpose The novel coronavirus (COVID-19) forced radiation oncology clinics to overhaul operational policies, but the effect on employee safety has not, to our knowledge, been reported. The New York Proton Center (NYPC), a large freestanding clinic in New York City, New York, presents a 1-month experience of employee-reported health outcomes after the infiltration of COVID-19 and enforcement of policies designed to mitigate its impact. Materials and Methods In March 2020, new operational policies were implemented, including rigorous and frequent sanitation, visitor and treatment restrictions, distribution of personal protective equipment, work-from-home orders, and isolated nursing and radiation therapy teams. Employees of NYPC were prospectively monitored for exposure and symptoms of COVID-19. Work hours lost because of illness or quarantines were quantified from March 1, 2020, to March 31, 2020. Results Among 95 total employees, 23 (24%) were quarantined because of symptoms (n = 15; 65%), high-risk exposure (n = 5; 22%), or self-quarantined with personal concern (n = 3; 13%). Of 44 full-time, on-site employees, 39% (n = 17, including 6 therapists and 5 nurses) missed significant work time, including 6 (14%) with confirmed COVID-19. At full capacity, NYPC would have used 7260 work hours during March 2020 from the full-time, on-site staff, which was reduced by 18.8% overall (25.2% of nursing and 13.3% of therapy work hours), all in the latter half of the month. Among the therapist lost work hours, 92% were from 2 of 7 distinct, isolated therapy teams (29%). Without isolation, the exposure was modeled to have been 100%. Conclusion Despite losing significant staff hours in our department because of COVID-19, early and aggressive adoption of current, recommended policy guidelines outlined in this manuscript allowed NYPC to continue patient operations at full capacity.

The Impact of Customer Loyalty and Restaurant Sanitation Grades on Revisit Intention and the Importance of Narrative Information: The Case of New York Restaurant Sanitation Grading System

2017 ◽  
Vol 59 (3) ◽  
pp. 275-284 ◽  
Author(s):  
Min Gyung Kim ◽  
Hyunjoo Yang ◽  
Anna S. Mattila
Keyword(s):  
New York ◽  
New York City ◽  
Customer Loyalty ◽  
York City ◽  
Letter Grades ◽  
The Difference ◽  
Revisit Intentions ◽  
Using Data ◽  
The Impact ◽  
Loyal Customers

New York City launched a restaurant sanitation letter grade system in 2010. We evaluate the impact of customer loyalty on restaurant revisit intentions after exposure to a sanitation grade alone, and after exposure to a sanitation grade plus narrative information about sanitation violations (e.g., presence of rats). We use a 2 (loyalty: high or low) × 4 (sanitation grade: A, B, C, or pending) between-subjects full factorial design to test the hypotheses using data from 547 participants recruited from Amazon MTurk who reside in the New York City area. Our study yields three findings. First, loyal customers exhibit higher intentions to revisit restaurants than non-loyal customers, regardless of sanitation letter grades. Second, the difference in revisit intentions between loyal and non-loyal customers is higher when sanitation grades are poorer. Finally, loyal customers are less sensitive to narrative information about sanitation violations.

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