scholarly journals Impact of National Containment Measures on Decelerating the Increase in Daily New Cases of COVID-19 in 54 Countries and 4 Epicenters of the Pandemic: Comparative Observational Study

10.2196/19904 ◽  
2020 ◽  
Vol 22 (7) ◽  
pp. e19904 ◽  
Author(s):  
Carlos K H Wong ◽  
Janet Y H Wong ◽  
Eric H M Tang ◽  
Chi Ho Au ◽  
Kristy T K Lau ◽  
...  
Keyword(s):  
New York ◽  
Disease Transmission ◽  
New York State ◽  
South American ◽  
Data Set ◽  
Health Authorities ◽  
Percent Increase ◽  
Containment Measures ◽  
The Impact ◽  
At Home

Background Coronavirus disease (COVID-19) is a worldwide epidemic, and various countries have responded with different containment measures to reduce disease transmission, including stay-at-home orders, curfews, and lockdowns. Comparative studies have not yet been conducted to investigate the impact of these containment measures; these studies are needed to facilitate public health policy-making across countries. Objective The aim of this study was to describe and evaluate the impact of national containment measures and policies (stay-at-home orders, curfews, and lockdowns) on decelerating the increase in daily new cases of COVID-19 in 54 countries and 4 epicenters of the pandemic in different jurisdictions worldwide. Methods We reviewed the effective dates of the national containment measures (stay-at-home order, curfew, or lockdown) of 54 countries and 4 epicenters of the COVID-19 pandemic (Wuhan, New York State, Lombardy, and Madrid), and we searched cumulative numbers of confirmed COVID-19 cases and daily new cases provided by health authorities. Data were drawn from an open, crowdsourced, daily-updated COVID-19 data set provided by Our World in Data. We examined the trends in the percent increase in daily new cases from 7 days before to 30 days after the dates on which containment measures went into effect by continent, World Bank income classification, type of containment measures, effective date of containment measures, and number of confirmed cases on the effective date of the containment measures. Results We included 122,366 patients with confirmed COVID-19 infection from 54 countries and 24,071 patients from 4 epicenters on the effective dates on which stay-at-home orders, curfews, or lockdowns were implemented between January 23 and April 11, 2020. Stay-at-home, curfew, and lockdown measures commonly commenced in countries with approximately 30%, 20%, or 10% increases in daily new cases. All three measures were found to lower the percent increase in daily new cases to <5 within one month. Among the countries studied, 20% had an average percent increase in daily new cases of 30-49 over the seven days prior to the commencement of containment measures; the percent increase in daily new cases in these countries was curbed to 10 and 5 a maximum of 15 days and 23 days after the implementation of containment measures, respectively. Conclusions Different national containment measures were associated with a decrease in daily new cases of confirmed COVID-19 infection. Stay-at-home orders, curfews, and lockdowns curbed the percent increase in daily new cases to <5 within a month. Resurgence in cases within one month was observed in some South American countries.

scholarly journals Impact of National Containment Measures on Decelerating the Increase in Daily New Cases of COVID-19 in 54 Countries and 4 Epicenters of the Pandemic: Comparative Observational Study (Preprint)

2020 ◽  
Author(s):  
Carlos K H Wong ◽  
Janet Y H Wong ◽  
Eric H M Tang ◽  
Chi Ho Au ◽  
Kristy T K Lau ◽  
...  
Keyword(s):  
New York ◽  
Disease Transmission ◽  
New York State ◽  
South American ◽  
Data Set ◽  
Health Authorities ◽  
Percent Increase ◽  
Containment Measures ◽  
The Impact ◽  
At Home

BACKGROUND Coronavirus disease (COVID-19) is a worldwide epidemic, and various countries have responded with different containment measures to reduce disease transmission, including stay-at-home orders, curfews, and lockdowns. Comparative studies have not yet been conducted to investigate the impact of these containment measures; these studies are needed to facilitate public health policy-making across countries. OBJECTIVE The aim of this study was to describe and evaluate the impact of national containment measures and policies (stay-at-home orders, curfews, and lockdowns) on decelerating the increase in daily new cases of COVID-19 in 54 countries and 4 epicenters of the pandemic in different jurisdictions worldwide. METHODS We reviewed the effective dates of the national containment measures (stay-at-home order, curfew, or lockdown) of 54 countries and 4 epicenters of the COVID-19 pandemic (Wuhan, New York State, Lombardy, and Madrid), and we searched cumulative numbers of confirmed COVID-19 cases and daily new cases provided by health authorities. Data were drawn from an open, crowdsourced, daily-updated COVID-19 data set provided by Our World in Data. We examined the trends in the percent increase in daily new cases from 7 days before to 30 days after the dates on which containment measures went into effect by continent, World Bank income classification, type of containment measures, effective date of containment measures, and number of confirmed cases on the effective date of the containment measures. RESULTS We included 122,366 patients with confirmed COVID-19 infection from 54 countries and 24,071 patients from 4 epicenters on the effective dates on which stay-at-home orders, curfews, or lockdowns were implemented between January 23 and April 11, 2020. Stay-at-home, curfew, and lockdown measures commonly commenced in countries with approximately 30%, 20%, or 10% increases in daily new cases. All three measures were found to lower the percent increase in daily new cases to &lt;5 within one month. Among the countries studied, 20% had an average percent increase in daily new cases of 30-49 over the seven days prior to the commencement of containment measures; the percent increase in daily new cases in these countries was curbed to 10 and 5 a maximum of 15 days and 23 days after the implementation of containment measures, respectively. CONCLUSIONS Different national containment measures were associated with a decrease in daily new cases of confirmed COVID-19 infection. Stay-at-home orders, curfews, and lockdowns curbed the percent increase in daily new cases to &lt;5 within a month. Resurgence in cases within one month was observed in some South American countries.

Dairy-borne Disease Outbreak and Milk Demand: A Study Using Outbreak Surveillance Data

2009 ◽  
Vol 38 (3) ◽  
pp. 330-337 ◽  
Author(s):  
Yuqing Zheng ◽  
Harry M. Kaiser
Keyword(s):  
New York ◽  
New York State ◽  
Disease Outbreaks ◽  
Negative Influence ◽  
Surveillance Data ◽  
Food Borne ◽  
Index Approach ◽  
Percent Increase ◽  
Control And Prevention ◽  
At Home

We utilize the outbreak surveillance data from the Centers for Disease Control and Prevention (CDC) to examine whether consumer demand is impacted by the outbreak of food-borne disease. An additional person sickened due to the ingestion of tainted cheese products at home is found to decrease per capita milk demand in New York State by 0.13 percent (or 0.07 pound), while milk-and ice cream-borne disease outbreaks, occurring at home or in public places, are found to have no impact on fluid milk demand. Our results imply the existence of word-of-mouth effects, which cannot be tested by the popular information/media index approach used to measure food-borne disease outbreaks. We also find that a 7 percent increase in generic advertising expenditures or a 10 percent increase in expenditures on non-advertising marketing activities can offset the negative influence of one ill person in cheese-borne disease outbreaks at home, while holding other demand factors constant.

COVID-19: Time-Dependent Effective Reproduction Number and Sub-notification Effect Estimation Modeling (Preprint)

2020 ◽  
Author(s):  
Eduardo Atem De Carvalho ◽  
Rogerio Atem De Carvalho
Keyword(s):  
New York ◽  
Reproduction Number ◽  
Moving Average ◽  
Real Data ◽  
Time Dependent ◽  
Initial Value ◽  
Health Authorities ◽  
Reproduction Numbers ◽  
Effect Estimation ◽  
The Impact

BACKGROUND Since the beginning of the COVID-19 pandemic, researchers and health authorities have sought to identify the different parameters that govern their infection and death cycles, in order to be able to make better decisions. In particular, a series of reproduction number estimation models have been presented, with different practical results. OBJECTIVE This article aims to present an effective and efficient model for estimating the Reproduction Number and to discuss the impacts of sub-notification on these calculations. METHODS The concept of Moving Average Method with Initial value (MAMI) is used, as well as a model for Rt, the Reproduction Number, is derived from experimental data. The models are applied to real data and their performance is presented. RESULTS Analyses on Rt and sub-notification effects for Germany, Italy, Sweden, United Kingdom, South Korea, and the State of New York are presented to show the performance of the methods here introduced. CONCLUSIONS We show that, with relatively simple mathematical tools, it is possible to obtain reliable values for time-dependent, incubation period-independent Reproduction Numbers (Rt). We also demonstrate that the impact of sub-notification is relatively low, after the initial phase of the epidemic cycle has passed.

Preparing Paraprofessionals to Become Teachers: A Study Examining the Effect of Catalytic Interventions

2021 ◽  
pp. 105678792110036
Author(s):  
Tonya Johnson ◽  
Edward Lehner
Keyword(s):  
New York ◽  
Skill Acquisition ◽  
Social Reproduction ◽  
Teacher Candidates ◽  
New York State ◽  
Student Population ◽  
School Students ◽  
Preparation Programs ◽  
Data Set ◽  
Public School Students

New York State, in all of its regions, has a growing number of diverse public-school students, including many immigrant groups, accounting for a significant change in the ethnic and racial demographics of the state’s student population. Despite the rapidly changing student population, the teaching force nonetheless remains disproportionately White and populated primarily by women. A growing body of research suggests that the ranks of paraprofessionals, many of whom are already working in schools, may be the ideal population from which to develop a more fully diversified teaching candidate pool. Informed by a theoretical lens of social reproduction and drawing from an expansive data set, this research surveys the unique barriers that paraprofessionals face in accessing information about licensure and navigating local and state requirements. Specifically, the current work examines the needs of candidates at an urban community college and presents findings from a pilot support program designed to increase paraprofessional credentialing leading to teaching licensure. The findings of this work highlight not only the need for teacher and paraprofessional preparation programs to alter recruiting and skill-acquisition practices but also the need for continued research to better understand how to support multiethnic, multilingual, and multiracial teacher candidates.

scholarly journals The impact of the 2006 Massachusetts health care reform law on spine surgery patient payer-mix status and age

2017 ◽  
Vol 27 (6) ◽  
pp. 694-699 ◽  
Author(s):  
Nicolas W. Villelli ◽  
Hong Yan ◽  
Jian Zou ◽  
Nicholas M. Barbaro
Keyword(s):  
Health Care ◽  
New York ◽  
Health Care Reform ◽  
Health Care System ◽  
Spine Surgery ◽  
Private Insurance ◽  
New York State ◽  
Before And After ◽  
The Impact ◽  
Care System

OBJECTIVESeveral similarities exist between the Massachusetts health care reform law of 2006 and the Affordable Care Act (ACA). The authors’ prior neurosurgical research showed a decrease in uninsured surgeries without a significant change in surgical volume after the Massachusetts reform. An analysis of the payer-mix status and the age of spine surgery patients, before and after the policy, should provide insight into the future impact of the ACA on spine surgery in the US.METHODSUsing the Massachusetts State Inpatient Database and spine ICD-9-CM procedure codes, the authors obtained demographic information on patients undergoing spine surgery between 2001 and 2012. Payer-mix status was assigned as Medicare, Medicaid, private insurance, uninsured, or other, which included government-funded programs and workers’ compensation. A comparison of the payer-mix status and patient age, both before and after the policy, was performed. The New York State data were used as a control.RESULTSThe authors analyzed 81,821 spine surgeries performed in Massachusetts and 248,757 in New York. After 2008, there was a decrease in uninsured and private insurance spine surgeries, with a subsequent increase in the Medicare and “other” categories for Massachusetts. Medicaid case numbers did not change. This correlated to an increase in surgeries performed in the age group of patients 65–84 years old, with a decrease in surgeries for those 18–44 years old. New York showed an increase in all insurance categories and all adult age groups.CONCLUSIONSAfter the Massachusetts reform, spine surgery decreased in private insurance and uninsured categories, with the majority of these surgeries transitioning to Medicare. Moreover, individuals who were younger than 65 years did not show an increase in spine surgeries, despite having greater access to health insurance. In a health care system that requires insurance, the decrease in private insurance is primarily due to an increasing elderly population. The Massachusetts model continues to show that this type of policy is not causing extreme shifts in the payer mix, and suggests that spine surgery will continue to thrive in the current US health care system.

Evaluating the impact of three incentive programs on the economics of cofiring willow biomass with coal in New York State

Energy Policy ◽  
2005 ◽  
Vol 33 (3) ◽  
pp. 337-347 ◽  
Author(s):  
Pradeep J Tharakan ◽  
Timothy A Volk ◽  
Christopher A Lindsey ◽  
Lawrence P Abrahamson ◽  
Edwin H White
Keyword(s):  
New York ◽  
New York State ◽  
York State ◽  
Incentive Programs ◽  
The Impact

The impact of snowfall on crashes, traffic volume, and revenue on the New York State Thruway

2021 ◽  
Author(s):  
David A. Call ◽  
Guy A. Flynt
Keyword(s):  
New York ◽  
New York State ◽  
Traffic Volume ◽  
Crash Risk ◽  
York State ◽  
Inclement Weather ◽  
Daily Data ◽  
Fatal Crashes ◽  
Traffic Volumes ◽  
The Impact

AbstractSnow has numerous effects on traffic, including reduced traffic volumes, greater crash risk, and increased travel times. This research examines how snow affects crash risk, traffic volume, and toll revenue on the New York State Thruway. Daily data from January for a ten-year period (2010-2019) were analyzed for the Thruway from the Pennsylvania state line in western New York to Syracuse.Anywhere from 35-50 percent of crashes are associated with inclement weather, with smaller impacts, proportionally, in areas with greater traffic volumes. As expected, snow was almost always involved when weather was a factor. “Unsafe speed” was the most common cause of crashes in inclement weather with all other factors (e.g., animals, drowsiness) much less likely to play a role. The percentage of crashes resulting in an injury did not change significantly with inclement conditions when compared to crashes occurring in fair conditions, and there were too few fatal crashes to make any inferences about them.Daily snowfall rates predicted about 30 percent of the variation in crash numbers, with every 5.1 cm of snowfall resulting in an additional crash, except in Buffalo where 5.1 cm of snow resulted in an additional 2.6 crashes. Confirming earlier results, daily snowfall had a large impact on passenger vehicle counts while commercial vehicle counts were less affected. Revenue data showed a similar pattern, with passenger revenue typically decreasing by 3-5 percent per 2.5 cm of snow, while commercial revenue decreases were 1-4 percent per 2.5 cm of snow.

Social Work Perspective

PEDIATRICS ◽  
1989 ◽  
Vol 83 (5) ◽  
pp. 903-905
Author(s):  
Sandra Hernandez
Keyword(s):  
New York ◽  
Chronic Illness ◽  
Sickle Cell Disease ◽  
Newborn Screening ◽  
Sickle Cell ◽  
New York State ◽  
Early Years ◽  
Cell Disease ◽  
York State ◽  
The Impact

The ultimate objective of newborn screening for sickle cell disease should be twofold. The first essential step is the identification of the infants at risk. This has been effectively done in New York state as of 1975 through the New York State Newborn Screening Program. However, identifying these children is not enough. Second is the much more complicated task of providing comprehensive follow-up care for families whose children are affected by the disease, including the much needed psychosocial services. This area continues to be sorely neglected. The increased risk of death due to overwhelming infection in the first 3 years of life for children with sickle cell disease has been noted in the literature. When there is no specialized care, 15% to 20% do not survive. Therefore, it is essential for knowledgeable staff to make contact and begin to develop a trusting relationship as soon as possible with parents of infants born with sickle cell disease. Prophylactic penicillin and pneumococcal vaccination can reduce mortality during the early years. Family involvement with a consistent, available team of health care providers is pivotal in understanding this chronic illness and coping effectively with this extraordinary stress. Our staff is available by telephone for consultations with patients or other medical staff during clinic and emergency room visits and hospitalizations. One element that is clear in our experience at the St Luke's-Roosevelt Hospital Sickle Cell Center in New York City is that adjustment to this chronic illness is a lifelong process. One or two counseling sessions at the time of diagnosis are not sufficient to enable families to fully understand the information given or to realize the impact of having a child with a chronic illness.

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