scholarly journals The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City

2021 ◽  
Vol 31 (2) ◽  
pp. 021101
Author(s):  
Jiannan Yang ◽  
Qingpeng Zhang ◽  
Zhidong Cao ◽  
Jianxi Gao ◽  
Dirk Pfeiffer ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Prevention And Control ◽  
And Control ◽  
The Impact ◽  
Pharmaceutical Interventions

scholarly journals Analysis and Prediction of Epidemic Infectious Diseases Based on SEIDR Model -- A Case Study of COVID-19 in New York

2021 ◽  
Author(s):  
Zhigang Xu ◽  
Huiling Xia
Keyword(s):  
New York ◽  
New York City ◽  
Infectious Diseases ◽  
York City ◽  
Prevention And Control ◽  
Turning Point ◽  
Sir Model ◽  
Control Measures ◽  
Morbidity Rate ◽  
And Control

Abstract In the epidemic prevention and control of infectious diseases, improper prevention and control can easily lead to a large-scale epidemic. However, the epidemic of diseases follows certain rules, so it is very necessary to simulate the spread of infectious diseases, which can provide reference for the formulation of prevention and control measures. This paper proposes a SEIDR model for analyzing and predicting epidemic infectious diseases. Taking the development situation of COVID-19 in New York City as an example, firstly, the SEIDR model proposed in this paper was compared with the traditional SIR model, and it was found that the SEIDR model was better than the SIR model. Then the SEIDR model and the L-BFGS optimization method were used to fit the early transmission data of COVID-19 in New York City, and important parameters such as infection rate, latent morbidity rate, disease-related mortality and recovery rate were obtained. Moreover, the value of basic regeneration number 𝑅0 between 4.0 and 4.6 proved that the situation of COVID-19 in New York City was relatively serious. Finally, these parameters were used to predict the future development of COVID-19 in New York City, and the turning point of COVID-19 in New York City was found. However, even if the turning point be reached, the development trend of COVID-19 will not be controlled in the short term. Data verification shows that the SEIDR model established in this paper can effectively provide a scientific quantitative index for governments in the prevention and control of COVID-19 and other epidemic infectious diseases.

scholarly journals The impact of non-pharmaceutical interventions on the prevention and control of COVID-19 in New York City

2020 ◽  
Author(s):  
Jiannan Yang ◽  
Qingpeng Zhang ◽  
Zhidong Cao ◽  
Jianxi Gao ◽  
Dirk Pfeiffer ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
School Closure ◽  
Population Characteristics ◽  
Effective Control ◽  
Social Disruption ◽  
Specific Implementation ◽  
The Impact ◽  
Pharmaceutical Interventions

AbstractThe emergence of coronavirus disease 2019 (COVID-19) has infected more than 37 million people worldwide. The control responses varied across countries with different outcomes in terms of epidemic size and social disruption. In this study, we presented an age-specific susceptible-exposed-infected-recovery-death model that considers the unique characteristics of COVID-19 to examine the effectiveness of various non-pharmaceutical interventions (NPIs) in New York City (NYC). Numerical experiments from our model show that the control policies implemented in NYC reduced the number of infections by 72% (IQR 53-95), and the number of deceased cases by 76% (IQR 58-96) by the end of 2020, respectively. Among all the NPIs, social distancing for the entire population and the protection for the elderly in the public facilities is the most effective control measure in reducing severe infections and deceased cases. School closure policy may not work as effectively as one might expect in terms of reducing the number of deceased cases. Our simulation results provide novel insights into the city-specific implementation of NPIs with minimal social disruption considering the locations and population characteristics.

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.

scholarly journals The Impact of Covid‐19 on Certified Nursing Assistants in New York City: A Cross‐Sectional Study

2021 ◽  
Vol 56 (S2) ◽  
pp. 41-42
Author(s):  
Sanjay Pinto ◽  
Madeline Sterling ◽  
Faith Wiggins ◽  
Rebecca Hall ◽  
Chenjuan Ma
Keyword(s):  
New York ◽  
New York City ◽  
York City ◽  
Cross Sectional Study ◽  
Nursing Assistants ◽  
Certified Nursing Assistants ◽  
Sectional Study ◽  
Cross Sectional ◽  
The Impact

Abstract 718: The Impact of COVID-19 on breast oncology care practices during the pandemic in New York City: A single center retrospective study

2021 ◽  
Author(s):  
Danielle Seidman ◽  
Brittney S. Zimmerman ◽  
Lauren Margetich ◽  
Serena Tharakan ◽  
Natalie Berger ◽  
...  
Keyword(s):  
New York ◽  
New York City ◽  
Retrospective Study ◽  
York City ◽  
Single Center ◽  
Oncology Care ◽  
Care Practices ◽  
The Impact
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