scholarly journals US Foreign-Born Workers in the Global Pandemic: Essential and Marginalized

2020 ◽  
pp. 231150242095275
Author(s):  
Donald Kerwin* ◽  
Robert Warren*
Keyword(s):  
New York ◽  
Labor Force ◽  
Homeland Security ◽  
New York State ◽  
National Level ◽  
The United States ◽  
Economic Security ◽  
Foreign Born ◽  
Poverty Level ◽  
The Us

This article provides detailed estimates of foreign-born (immigrant) workers in the United States who are employed in “essential critical infrastructure” sectors, as defined by the Cybersecurity and Infrastructure Security Agency (CISA) of the US Department of Homeland Security (DHS) (DHS 2020). Building on earlier work by the Center for Migration Studies (CMS), the article offers exhaustive estimates on essential workers on a national level, by state, for large metropolitan statistical areas (MSAs), and for smaller communities that heavily rely on immigrant labor. It also reports on these workers by job sector; immigration status; eligibility for tax rebates under the Coronavirus Aid, Relief, and Economic Security Act (CARES Act); and other characteristics. It finds that: Sixty-nine percent of all immigrants in the US labor force and 74 percent of undocumented workers are essential workers, compared to 65 percent of the native-born labor force. Seventy percent of refugees and 78 percent of Black refugees are essential workers. In all but eight US states, the foreign-born share of the essential workforce equals or exceeds that of all foreign-born workers, indicating that immigrant essential workers are disproportionately represented in the labor force. The percentage of undocumented essential workers exceeds that of native-born essential workers by nine percentage points in the 15 states with the largest labor force. In the ten largest MSAs, the percentages of undocumented and naturalized essential workers exceed the percentage of native-born essential workers by 12 and 6 percent, respectively. A total of 6.2 million essential workers are not eligible for relief payments under the CARES Act, as well as large numbers of their 3.8 million US citizen children (younger than age 17), including 1.2 million US citizen children living in households below the poverty level. The foreign-born comprise 33 percent of health care workers in New York State, 32 percent in California, 31 percent in New Jersey, 28 percent in Florida, 25 percent in Nevada and Maryland, 24 percent in Hawaii, 23 percent in Massachusetts, and 19 percent in Texas. Section I of the article describes the central policy paradox for foreign-born workers during the COVID-19 pandemic: that they are “essential” at very high rates, but many lack status and they have been marginalized by US immigration and COVID-19-related policies. Section II sets forth the article’s main findings. Section III outlines major policy recommendations.

scholarly journals US Foreign-Born Workers in the Global Pandemic: Essential and Marginalized

2020 ◽  
Vol 8 (3) ◽  
pp. 282-300
Author(s):  
Donald Kerwin* ◽  
Robert Warren*
Keyword(s):  
Labor Force ◽  
Homeland Security ◽  
New York State ◽  
National Level ◽  
The United States ◽  
Economic Security ◽  
Foreign Born ◽  
Poverty Level ◽  
Executive Summary ◽  
The Us

Executive Summary This article provides detailed estimates of foreign-born (immigrant) workers in the United States who are employed in “essential critical infrastructure” sectors, as defined by the Cybersecurity and Infrastructure Security Agency (CISA) of the US Department of Homeland Security (DHS) (DHS 2020). Building on earlier work by the Center for Migration Studies (CMS), the article offers exhaustive estimates on essential workers on a national level, by state, for large metropolitan statistical areas (MSAs), and for smaller communities that heavily rely on immigrant labor. It also reports on these workers by job sector; immigration status; eligibility for tax rebates under the Coronavirus Aid, Relief, and Economic Security Act (CARES Act); and other characteristics. It finds that: Sixty-nine percent of all immigrants in the US labor force and 74 percent of undocumented workers are essential workers, compared to 65 percent of the native-born labor force. Seventy percent of refugees and 78 percent of Black refugees are essential workers. In all but eight US states, the foreign-born share of the essential workforce equals or exceeds that of all foreign-born workers, indicating that immigrant essential workers are disproportionately represented in the labor force. The percentage of undocumented essential workers exceeds that of native-born essential workers by nine percentage points in the 15 states with the largest labor force. In the ten largest MSAs, the percentages of undocumented and naturalized essential workers exceed the percentage of native-born essential workers by 12 and 6 percent, respectively. A total of 6.2 million essential workers are not eligible for relief payments under the CARES Act, as well as large numbers of their 3.8 million US citizen children (younger than age 17), including 1.2 million US citizen children living in households below the poverty level. The foreign-born comprise 33 percent of health care workers in New York State, 32 percent in California, 31 percent in New Jersey, 28 percent in Florida, 25 percent in Nevada and Maryland, 24 percent in Hawaii, 23 percent in Massachusetts, and 19 percent in Texas. Section I of the article describes the central policy paradox for foreign-born workers during the COVID-19 pandemic: that they are “essential” at very high rates, but many lack status and they have been marginalized by US immigration and COVID-19-related policies. Section II sets forth the article’s main findings. Section III outlines major policy recommendations.

scholarly journals Analysis of SARS-CoV-2 Genomes from Southern California Reveals Community Transmission Pathways in the Early Stage of the US COVID-19 Pandemic

2020 ◽  
Author(s):  
Wenjuan Zhang ◽  
John Paul Govindavari ◽  
Brian Davis ◽  
Stephanie Chen ◽  
Jong Taek Kim ◽  
...  
Keyword(s):  
New York ◽  
Los Angeles ◽  
Local Community ◽  
Early Stage ◽  
Medical Center ◽  
New York State ◽  
The United States ◽  
Genomic Diversity ◽  
York State ◽  
The Us

AbstractGiven the higher mortality rate and widespread phenomenon of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS CoV-2) within the United States (US) population, understanding the mutational pattern of SARS CoV-2 has global implications for detection and therapy to prevent further escalation. Los Angeles has become an epicenter of the SARS-CoV-2 pandemic in the US. Efforts to contain the spread of SARS-CoV-2 require identifying its genetic and geographic variation and understanding the drivers of these differences. For the first time, we report genetic characterization of SARS-CoV-2 genome isolates in the Los Angeles population using targeted next generation sequencing (NGS). Samples collected at Cedars Sinai Medical Center were collected from patients with confirmed SARS-CoV-2 infection. We identified and diagnosed 192 patients by our in-house qPCR assay. In this population, the highest frequency variants were in known mutations in the 5’UTR, AA193 protein, RdRp and the spike glycoprotein. SARS-CoV-2 transmission within the local community was tracked by integrating mutation data with patient postal codes with two predominant community spread clusters being identified. Notably, significant viral genomic diversity was identified. Less than 10% of the Los Angeles community samples resembled published mutational profiles of SARS-CoV-2 genomes from China, while >50% of the isolates shared closely similarities to those from New York State. Based on these findings we conclude SARS-CoV-2 was likely introduced into the Los Angeles community predominantly from New York State but also via multiple other independent transmission routes including but not limited to Washington State and China.

scholarly journals Reverse Migration to Mexico Led to US Undocumented Population Decline: 2010 to 2018

2020 ◽  
Vol 8 (1) ◽  
pp. 32-41 ◽  
Author(s):  
Robert Warren
Keyword(s):  
United States ◽  
New York ◽  
Large Population ◽  
Population Decline ◽  
New York State ◽  
The United States ◽  
Executive Summary ◽  
Reverse Migration ◽  
The Us ◽  
Almost All

Executive Summary This report presents estimates of the undocumented population residing in the United States in 2018, highlighting demographic changes since 2010. The Center for Migration Studies of New York (CMS) compiled these estimates based primarily on information collected in the US Census Bureau’s American Community Survey (ACS). The annual CMS estimates of undocumented residents for 2010 to 2018 include all the detailed characteristics collected in the ACS. 1 A summary of the CMS estimation procedures, as well as a discussion of the plausibility of the estimates, is provided in the Appendix . The total undocumented population in the United States continued to decline in 2018, primarily because large numbers of undocumented residents returned to Mexico. From 2010 to 2018, a total of 2.6 million Mexican nationals left the US undocumented population; 2 about 1.1 million, or 45 percent of them, returned to Mexico voluntarily. The decline in the US undocumented population from Mexico since 2010 contributed to declines in the undocumented population in many states. Major findings include the following: The total US undocumented population was 10.6 million in 2018, a decline of about 80,000 from 2017, and a drop of 1.2 million, or 10 percent, since 2010. Since 2010, about two-thirds of new arrivals have overstayed temporary visas and one-third entered illegally across the border. The undocumented population from Mexico fell from 6.6 million in 2010 to 5.1 million in 2018, a decline of 1.5 million, or 23 percent. Total arrivals in the US undocumented population from El Salvador, Guatemala, and Honduras — despite high numbers of Border Patrol apprehensions of these populations in recent years — remained at about the same level in 2018 as in the previous four years. 3 The total undocumented population in California was 2.3 million in 2018, a decline of about 600,000 compared to 2.9 million in 2010. The number from Mexico residing in the state dropped by 605,000 from 2010 to 2018. The undocumented population in New York State fell by 230,000, or 25 percent, from 2010 to 2018. Declines were largest for Jamaica (−51 percent), Trinidad and Tobago (−50 percent), Ecuador (−44 percent), and Mexico (−34 percent). The results shown here reinforce the view that improving social and economic conditions in sending countries would not only reduce pressure at the border but also likely cause a large decline in the undocumented population. Two countries had especially large population changes — in different directions — in the 2010 to 2018 period. The population from Poland dropped steadily, from 93,000 to 39,000, while the population from Venezuela increased from 65,000 to 172,000. Almost all the increase from Venezuela occurred after 2014.

scholarly journals New York State and the Nation: Trends in Firearm Purchases and Firearm Violence During the COVID-19 Pandemic

2020 ◽  
pp. 000313482095482
Author(s):  
Megan R. Donnelly ◽  
Philip S. Barie ◽  
Areg Grigorian ◽  
Catherine M. Kuza ◽  
Sebastian Schubl ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
New York State ◽  
The United States ◽  
Social Stressors ◽  
York State ◽  
Firearm Violence ◽  
The Us ◽  
Before And After ◽  
The Impact

Background The impacts of social stressors on violence during the coronavirus disease 2019 (COVID-19) pandemic are unknown. We hypothesized that firearm purchases and violence would increase surrounding the pandemic. This study determined the impact of COVID-19 and shelter-in-place (SIP) orders on firearm purchases and incidents in the United States (US) and New York State (NYS). Methods Scatterplots reflected trends in firearm purchases, incidents, and deaths over a 16-month period (January 2019 to April 2020). Bivariate comparisons of SIP and non-SIP jurisdictions before and after SIP (February 2020 vs. April 2020) and April 2020 vs. April 2019 were performed with the Mann-Whitney U test. Results The incidence of COVID-19 in the US increased between February and April 2020 from 24 to 1 067 660 and in NYS from 0 to 304 372. When comparing February to March to April in the US, firearm purchases increased 33.6% then decreased 22.0%, whereas firearm incidents increased 12.2% then again increased by 3.6% and firearm deaths increased 23.8% then decreased in April by 3.8%. In NYS, comparing February to March to April 2020, firearm purchases increased 87.6% then decreased 54.8%, firearm incidents increased 110.1% then decreased 30.8%, and firearm deaths increased 57.1% then again increased by 6.1%. In both SIP and non-SIP jurisdictions, April 2020 firearm purchases, incidents, deaths, and injuries were similar to April 2019 and February 2020 (all P = NS). Discussion Coronavirus disease 2019–related stressors may have triggered an increase in firearm purchases nationally and within NYS in March 2020. Firearm incidents also increased in NYS. SIP orders had no effect on firearm purchases and firearm violence.

scholarly journals Potential Years of Life Lost Due to COVID-19 in the United States, Italy, and Germany: An Old Formula with Newer Ideas

2020 ◽  
Vol 17 (12) ◽  
pp. 4392 ◽  
Author(s):  
Amal K. Mitra ◽  
Marinelle Payton ◽  
Nusrat Kabir ◽  
April Whitehead ◽  
Kimberly N. Ragland ◽  
...  
Keyword(s):  
United States ◽  
New York ◽  
New York State ◽  
The United States ◽  
Years Of Life Lost ◽  
Premature Deaths ◽  
Upper Limit ◽  
The Us ◽  
The World ◽  
Age Limits

Today, the world is facing the challenge of a major pandemic due to COVID-19, which has caused more than 6.1 million cases of infection and nearly 370,000 deaths so far. Most of the deaths from the disease are clustered in the older population, but the young and children are not spared. In this context, there is a critical need to revisit the formula for calculating potential years of life lost (PYLL). Data on age-specific deaths due to COVID-19 in three countries, including the United States (US), Italy, and Germany, were evaluated. New York State, as a significant outlier within the US, was also included. PYLLs in the US were five times as high as those of Italy. Compared with Germany, PYLLs in Italy were 4 times higher, and the rates in the US were 23, 25, and 18 times higher when using upper age limits of 70, 75, and 80, respectively. Standardized PYLLs in New York were 2 times as high as the rates in Italy, and 7 to 9 times as high as PYLLs in Germany. The revised formula of PYLL, using an upper limit of age 80, is recommended to accurately measure premature deaths due to a major disastrous disease such as COVID-19.

scholarly journals Increasing obesity odds among foreign-born New Yorkers are not explained by eating out, age at arrival, or duration of residence: results from NYC HANES 2004 and 2013/2014

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Margrethe F. Horlyck-Romanovsky ◽  
Sean J. Haley
Keyword(s):  
New York ◽  
The United States ◽  
Foreign Born ◽  
Dietary Acculturation ◽  
Duration Of Residence ◽  
Health And Nutrition ◽  
The Us ◽  
Eating Out ◽  
New Yorkers ◽  
Effect Of Age

Abstract Background Among the foreign-born in the United States (US) dietary acculturation and eating out may increase obesity risk. Using the 2004 (N = 1952) and 2013/14 (N = 1481) New York City (NYC) Health and Nutrition Examination Surveys, we compared for the foreign-born and US-born by survey year: 1) odds of obesity; 2) association between eating out and obesity and 3) effect of age at arrival and duration of residence among the foreign-born. Weighted logistic regression estimated odds of obesity. Results Compared to the US-born, the foreign-born had lower odds of obesity in 2004, (aOR = 0.51 (95%CI 0.37–0.70), P = <.0001). Odds were no different in 2013/14. In 2013/14 the foreign-born who ate out had lower obesity odds (aOR = 0.49 (95%CI 0.31–0.77), P = 0.0022). The foreign-born living in the US≥10 years had greater odds of obesity in 2004 (aOR = 1.73 (95%CI 1.08–2.79), P = 0.0233) but not in 2013/14. Conclusions Eating out does not explain increasing obesity odds among the foreign-born.

scholarly journals How Should the Law Treat Couples Who Live Apart Together?

2017 ◽  
Author(s):  
Cynthia Grant Bowman
Keyword(s):  
New York ◽  
Family Law ◽  
Qualitative Interviews ◽  
New York State ◽  
The United States ◽  
Legal Rights ◽  
Reasons For Living ◽  
Economic Relationships ◽  
The Us ◽  
Committed Couples

Published in: 29 Child &amp; Family Law Quarterly 335 Committed couples who do not share a residence, commonly called ‘LATs’ (for Living Apart Together), have been little studied by family law scholars in the United States. After describing the literature on this phenomenon by British, European, Canadian, and Australian scholars, this article provides new data about LATs in the US. It presents the results of two new surveys, one of respondents in New York State and one US-wide study, along with information gleaned from qualitative interviews of LATs. These data show that LATs are as prevalent in the US as elsewhere and provide information about their lifestyle, their reasons for living apart, their economic relationships, and the family-like functions LATs undertake for each another. The article then discusses whether the US legal system should recognize LAT relationships and, if so, for what purposes, concluding that certain legal rights should be extended to LATs, limiting them in most instances to those designed to aid their mutual caretaking, not those premised on economic interdependence.

scholarly journals Epidemic Model Guided Machine Learning for COVID-19 Forecasts in the United States

2020 ◽  
Author(s):  
Difan Zou ◽  
Lingxiao Wang ◽  
Pan Xu ◽  
Jinghui Chen ◽  
Weitong Zhang ◽  
...  
Keyword(s):  
United States ◽  
Machine Learning ◽  
New York ◽  
Epidemic Model ◽  
New York State ◽  
The United States ◽  
Machine Learning Algorithms ◽  
York State ◽  
Link Type ◽  
The Us

AbstractWe propose a new epidemic model (SuEIR) for forecasting the spread of COVID-19, including numbers of confirmed and fatality cases at national and state levels in the United States. Specifically, the SuEIR model is a variant of the SEIR model by taking into account the untested/unreported cases of COVID-19, and trained by machine learning algorithms based on the reported historical data. Besides providing basic projections for confirmed and fatality cases, the proposed SuEIR model is also able to predict the peak date of active cases, and estimate the basic reproduction number (). In particular, the forecasts based on our model suggest that the peak date of the US, New York state, and California state are 06/01/2020, 05/10/2020, and 07/01/2020 respectively. In addition, the estimated of the US, New York state, and California state are 2.5, 3.6 and 2.2 respectively. The prediction results for all states in the US can be found on our project website: https://covid19.uclaml.org, which are updated on a weekly basis, and have been adopted by the Centers for Disease Control and Prevention (CDC) for COVID-19 death forecasts (https://www.cdc.gov/coronavirus/2019-ncov/covid-data/forecasting-us.html).

Functioning of Ukrainian Bureau in Washington D. C. (March 1939 – May 1940)

2019 ◽  
pp. 142-157
Author(s):  
Danylo Kravets
Keyword(s):  
New York ◽  
The United States ◽  
College Degrees ◽  
The Us ◽  
Us Government ◽  
General Functioning ◽  
History Of ◽  
Governmental Institutions ◽  
History Of Journalism ◽  
The Military

The aim of the Ukrainian Bureau in Washington was propaganda of Ukrainian question among US government and American publicity in general. Functioning of the Bureau is not represented non in Ukrainian neither in foreign historiographies, so that’s why the main goal of presented paper is to investigate its activity. The research is based on personal papers of Ukrainian diaspora representatives (O. Granovskyi, E. Skotzko, E. Onatskyi) and articles from American and Ukrainian newspapers. The second mass immigration of Ukrainians to the US (1914‒1930s) has often been called the «military» immigration and what it lacked in numbers, it made up in quality. Most immigrants were educated, some with college degrees. The founder of the Ukrainian Bureau Eugene Skotzko was born near Western Ukrainian town of Zoloczhiv and immigrated to the United States in late 1920s after graduating from Lviv Polytechnic University. In New York he began to collaborate with OUN member O. Senyk-Hrabivskyi who gave E. Skotzko task to create informational bureau for propaganda of Ukrainian case. On March 23 1939 the Bureau was founded in Washington D. C. E. Skotzko was an editor of its Informational Bulletins. The Bureau biggest problem was lack of financial support. It was the main reason why it stopped functioning in May 1940. During 14 months of functioning Ukrainian Bureau in Washington posted dozens of informational bulletins and send it to hundreds of addressees; E. Skotzko, as a director, personally wrote to American governmental institutions and foreign diplomats informing about Ukrainian problem in Europe. Ukrainian Bureau activity is an inspiring example for those who care for informational policy of modern Ukraine.Keywords: Ukrainian small encyclopedia, Yevhen Onatsky, journalism, worldview, Ukrainian state. Keywords: Ukrainian Bureau in Washington, Eugene Skotzko, public opinion, history of journalism, diaspora.

Seasonal Activity of Haemaphysalis longicornis (Acari: Ixodidae) in Southern New York State

2020 ◽  
Author(s):  
Nicholas P Piedmonte ◽  
Vanessa C Vinci ◽  
Thomas J Daniels ◽  
Bryon P Backenson ◽  
Richard C Falco
Keyword(s):  
United States ◽  
New York ◽  
Activity Patterns ◽  
New York State ◽  
The United States ◽  
Haemaphysalis Longicornis ◽  
Seasonal Activity ◽  
Eastern Asia ◽  
Short Life ◽  
Human Bite

Abstract The Asian longhorned tick, Haemaphysalis longicornis Neumann, is a species native to eastern Asia that has recently been discovered in the United States. In its native range, H. longicornis transmits pathogens that cause disease in humans and livestock. It is currently unknown whether H. longicornis will act as a vector in the United States. Understanding its seasonal activity patterns will be important in identifying which times of the year represent greatest potential risk to humans and livestock should this species become a threat to animal or public health. A study site was established in Yonkers, NY near the residence associated with the first reported human bite from H. longicornis in the United States. Ticks were collected once each week from July 2018 to November 2019. Haemaphysalis longicornis larvae were most active from August to November, nymphs from April to July, and adult females from June to September. This pattern of activity suggests that H. longicornis is capable of completing a generation within a single year and matches the patterns observed in its other ranges in the northern hemisphere. The data presented here contribute to a growing database for H. longicornis phenology in the northeastern United States. Potential implications of the short life cycle for the tick’s vectorial capacity are discussed.

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