New linkages for tuberculosis prevention and control in New York city: Innovative use of non-traditional providers to enhance completion of therapy

1995 ◽  
Vol 20 (1) ◽  
pp. 5-13 ◽  
Author(s):  
Susan J. Klein ◽  
Brenda E. Naizby
2021 ◽  
Vol 31 (2) ◽  
pp. 021101
Author(s):  
Jiannan Yang ◽  
Qingpeng Zhang ◽  
Zhidong Cao ◽  
Jianxi Gao ◽  
Dirk Pfeiffer ◽  
...  

2021 ◽  
Author(s):  
Zhigang Xu ◽  
Huiling Xia

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.


Diabetes Care ◽  
2009 ◽  
Vol 32 (5) ◽  
pp. e63-e63 ◽  
Author(s):  
L. E. Thorpe ◽  
M. Berger ◽  
E. N. Waddell ◽  
U. Uphadyay

2011 ◽  
Vol 17 (5) ◽  
pp. 421-426 ◽  
Author(s):  
Meredith E. Slopen ◽  
Fabienne Laraque ◽  
Amy S. Piatek ◽  
Shama D. Ahuja

2021 ◽  
pp. 31-41
Author(s):  
Anna Maria Bounds

The COVID-19 pandemic’s brutal impact on New York City has laid bare the social inequalities and injustices of living in a global capital. To better understand urban prepping as a process for helping communities to plan and respond to disaster, this analysis draws on Faulkner, Brown, and Quinn’s (2018) framework of five capacities for community resilience: place attachment; leadership; knowledge and learning; community networks; and community cohesion and efficacy. Given the New York City’s Prepper’s Network mission to acquire preparedness skills, knowledge and learning were core principals of the group it was found that community cohesion was reinforced throughout preparedness training as group members learned to develop their individual skills and to rely on one another. This research also points to the need to develop disaster management approaches that can expand the traditional “command and control” models while making space for local knowledge and resources only works to increase community resilience.


Urban Health ◽  
2019 ◽  
pp. 309-315
Author(s):  
Karen Lee

New York City has been a global leader in healthy urban design and in improving the built environment—the human-made environment consisting of our neighborhoods, streets, buildings, and their amenities—to assist in the prevention and control of the current epidemics of noncommunicable disease and their risk factors. This chapter shows how, through the translation of research-based health evidence into the development and implementation of user-friendly resources with and for non–health professionals involved in the planning, design, construction, maintenance, and renovation of the built environment, such as the Active Design Guidelines and its supplements, NYC pioneered formal efforts toward systematic evidence-based environmental design that can decrease physical inactivity and sedentariness, key risk factors for mortality and morbidity around the world today, while addressing other key public health issues like safety and equity.


2021 ◽  
Author(s):  
Alison Levin-Rector ◽  
Lauren Firestein ◽  
Emily McGibbon ◽  
Jessica Sell ◽  
Sungwoo Lim ◽  
...  

AbstractBackgroundBelief in immunity from prior infection and concern that vaccines might not protect against new variants are contributors to vaccine hesitancy. We assessed effectiveness of full and partial COVID-19 vaccination against reinfection when Delta was the predominant variant in New York City.MethodsWe conducted a case-control study in which case-patients with reinfection during June 15– August 31, 2021 and control subjects with no reinfection were matched (1:3) on age, sex, timing of initial positive test in 2020, and neighborhood poverty level. Conditional logistic regression was used to calculate matched odds ratios (mOR) and 95% confidence intervals (CI).ResultsOf 349,598 adult residents who tested positive for SARS-CoV-2 infection in 2020, did not test positive again >90 days after initial positive test through June 15, 2021, and did not die before June 15, 2021, 1,067 were reinfected during June 15–August 31, 2021. Of 1,048 with complete matching criteria data, 499 (47.6%) were known to be symptomatic for COVID-19-like-illness, and 75 (7.2%) were hospitalized. Unvaccinated individuals, compared with fully vaccinated individuals, had elevated odds of reinfection (mOR, 2.23; 95% CI, 1.90, 2.61), of symptomatic reinfection (mOR, 2.17; 95% CI, 1.72, 2.74), and of reinfection with hospitalization (mOR, 2.59; 95% CI, 1.43, 4.69). Partially versus fully vaccinated individuals had 1.58 (95% CI: 1.22, 2.06) times the odds of reinfection. All three vaccines authorized or approved for use in the U.S. were similarly effective.ConclusionAmong adults with previous SARS-CoV-2 infection, vaccination reduced odds of reinfections when the Delta variant predominated.


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