The purpose of this webinar is to describe the process of coding for PrEP in WV and PA, discuss the implementation of billing for PrEP, and compare the different options for paying for PrEP.
This webinar will focus on the question of why there is a raging epidemic of addiction. The current opioid epidemic is a symptom of the fraying of the socio-economic fabric of rural United States. We will also look at the reasons why funding should be targeted to substance misuse, not to the drug of the moment.
At the end of the webinar, participants will be able to describe current guidelines and epidemiology for HIV testing among adolescents, identify key steps in educating health professionals on routine HIV testing for adolescents, and discuss lessons learned and how to implement these lessons learned across EHE regions.
This session will describe PrEP and the importance of adherence during the COVID-19 pandemic, barriers to PrEP that have been brought on by COVID-19, strategies to overcome barriers and promote adherence, and how telehealth can be used to promote PrEP.
This webinar will describe the process of vaccine development during COVID-19 and discuss the challenges and opportunities associated with vaccine development.
Tuberculosis (TB) is the leading cause of death due to infectious disease globally, yet our understanding of its transmission patterns and incidence are limited. With the WHO's goal to eliminate TB by 2030, tools to monitor progression toward this goal are needed. In this talk, Dr. White will discuss work to estimate transmission patterns of TB using routinely collected data, as well as data from commonly conducted epidemiological studies. She will focus on estimation of the serial interval, which has not been studied in TB. Using a cure model and interval censoring techniques, estimates of the serial interval have been developed that can inform modeling studies and public health practice in TB control. She will also show how routinely collected surveillance data and estimates of the serial interval can be used to generate estimates of the reproductive number. These estimates can be created across heterogeneous groups to reveal areas where transmission is occurring most, allowing for more focused allocation of resources. She will describe an approach for understanding the transmission tree, using routinely collected surveillance data and limited genetic information. This method allows them to infer the reproductive number in the absence of a reliable estimate of the serial interval and better understand pairwise transmission probabilities.
Last Updated On Friday, February 15, 2019 by Crow, Sharon Weber
Created On Friday, February 15, 2019
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