scholarly journals Duration of US Residence Is Associated With Overweight Risk in Filipino Immigrants Living in New York Metro Area

2016 ◽  
Vol 39 (1) ◽  
pp. 13-23 ◽  
Author(s):  
Aimee Afable ◽  
Rhodora Ursua ◽  
Laura C. Wyatt ◽  
David Aguilar ◽  
Simona C. Kwon ◽  
...  
2012 ◽  
Vol 10 (2) ◽  
pp. 1-22
Author(s):  
Howard Shih ◽  
Melany De La Cruz-Viesca

At the national level, the Asian American population has grown more than any other major race group. According to the 2010 Census, the Los Angeles metro area had 2,199,186 Asians, making it the home to the largest Asian population in the United States. Following close behind was the New York City metro area with 2,008,906 Asians. Over a quarter of the 14.7 million Asian Americans reside in either of the two greater metropolitan regions, where they comprise around a tenth of the total population in each metropolis. We begin with a brief historical overview of immigration legislation that has both invited and excluded Asian Americans, as a means of understanding how Asian Americans have been perceived over time. We will also compare some key characteristics of Asian American populations in Los Angeles County, New York City, the Balance of LA Combined Statistical Area (CSA) (excluding Los Angeles County), and the Balance of NYC CSA (excluding New York City), and the Balance of the United States. The paper will cover: (1) demographic trends and patterns (2) economic status (3) political engagement and incorporation, and (4) residential settlement patterns. We close with a discussion of how these demographic changes have contributed to Asian Americans rapid social, economic, and political upward mobility in the last decade, at a time when the global restructuring of the economy has blurred nation-state boundaries that once existed and migration from Asia to the United States has become more complex, particularly over the past two decades.


2020 ◽  
pp. 106286062095427
Author(s):  
Ankita Sagar ◽  
JoAnne Gottridge ◽  
Nancy LaVine

Although significant attention has been allocated to hospital management of COVID-19 patients during this pandemic, less discussed is the management of ambulatory patients. This has resulted in a challenge for ambulatory care providers in the management of COVID-19, particularly in areas with high disease prevalence. In this article, the authors share a pragmatic approach to ambulatory management of COVID-19 at Northwell Health, a large health system that employs approximately 300 primary care providers in the New York metro area. This includes guidance on various COVID-19 management topics: clinical assessment algorithms, guidance on patient tracking, and the importance of engaging in partnerships with other provider types. Sharing these experiences in the clinical management of COVID-19 may benefit other ambulatory providers in earlier stages of the COVID-19 pandemic.


Author(s):  
Suzanne E. Tomasi ◽  
Alejandra Ramirez‐Cardenas ◽  
Matthew S. Thiese ◽  
Jessica L. Rinsky ◽  
Sophia K. Chiu ◽  
...  

Author(s):  
Alessandra Fogli ◽  
Fabrizio Perri ◽  
Mark Ponder ◽  
Marina Azzimonti

We develop an ECON-EPI network model to evaluate policies designed to improve health and economic outcomes during a pandemic. Relative to the standard epidemiological SIR set-up, we explicitly model social contacts among individuals and allow for heterogeneity in their number and stability. In addition, we embed the network in a structural economic model describing how contacts generate economic activity. We calibrate it to the New York metro area during the 2020 COVID-19 crisis and show three main results. First, the ECON-EPI network implies patterns of infections that better match the data compared to the standard SIR. The switching during the early phase of the pandemic from unstable to stable contacts is crucial for this result. Second, the model suggests the design of smart policies that reduce infections and at the same time boost economic activity. Third, the model shows that reopening sectors characterized by numerous and unstable contacts (such as large events or schools) too early leads to fast growth of infections.


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