Algorithms for improved cross sectional incidence testing for HIV

Dates

Start Date: 01/01/2007
End Date: 12/31/2013

Using a combination testing methods to improve accuracy of identifying samples from newly infected individuals based on biologic properties of the immune system that evolve over the course of infection. The goal is to generate a widely applicable assays for the use in HIV incidence monitoring on a population and intervention trial level

Hanoi
Johannesburg
Chennai, India
Baltimore, United States

People

Joanne Katz, ScD MS,BSc

Associate Chair, Director of Academic Programs

Stefan Baral, MD MPH,MBA,MSc

Director, Key Populations Program

Robert Bollinger Jr., MD MPH

Director, Johns Hopkins Center for Clinical Global Health Education (CCGHE); Associate Director, Johns Hopkins Center for Global...

Yukari C. Manabe, MD

Associate Director of Global Health Research and Innovation

Caitlin Kennedy, PhD MPH,BA

Co-Director, MPH concentration in Social and Behavioral Sciences in Public Health; Associate Director, Center for Qualitative...

Noreen Hynes, MD MPH

Director, Geographic Medicine Center of the Division of Infectious Diseases
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August 2019

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Projects

Identification and Enumeration of Pathogens in Drinking...

CWH researchers are using polymerase chain reaction and mass spectrometry technologies to develop a microbial isolation and...

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Mpilonhle

Mpilonhle brings multi-dimensional services to adolescents in rural South Africa. Its objective is to reduce the very high...

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Building an Enabling Environment for Vaccines in India...

This project, now in its second phase, aims to create an enabling environment for vaccines in India and contribute to...

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Nutrition Innovation Lab

"Poshan", which means good nutrition in Nepali is ongoing research that involves two interlinked large-scale research studies...

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