OpenAlex
PricingAboutJobs
Log inGet started
Work

Policy Implications of Mathematical Modeling of Latent Tuberculosis Infection Testing and Treatment Strategies to Accelerate Tuberculosis Elimination

HTML

Year: 2020
Type: article
Source: Public Health Reports
DOI: 10.1177/0033354920912710
Authors: Suzanne M. Marks, David W. Dowdy, Nicolas A. Menzies, Priya B. Shete, Joshua A. Salomon, Andrea Parriott, Sourya Shrestha, Jennifer Flood, Andrew N. Hill
Institutions: Centers for Disease Control and Prevention, National Center for HIV/AIDS Viral Hepatitis STD and TB Prevention, Johns Hopkins University, Harvard University, University of California, San Francisco, California Department of Public Health
Language: English

Topic: Tuberculosis Research and Epidemiology
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
SDG: Good health and well-being

Open Access status: green

Funder: Centers for Disease Control and Prevention
Awards: ECONOMIC ANALYSIS FOR PREVENTION OF DISEASE (EMPOD), ENHANCING MODELS OF HIV, VIRAL HEPATITIS, STIS, AND TUBERCULOSIS TO INFORM AND IMPROVE PUBLIC HEALTH IMPACT, ECONOMIC MODELING FOR HIV, VIRAL HEPATITIS, STD, TB AND SCHOOL HEALTH
OpenAlex ID: W3046767200
FWCI: 0.131
Cites: 27
Cited by: 5
Related to: 10
OpenAlex
Nonprofit
Open DataOpen Data
Open Source
Product
Search
Compare
Pricing
Repositories
Unpaywall
Unsub
Developers
API docs
Data snapshot
Status
Source code
Organization
About
Team
Testimonials
Brand
Jobs
Community
Help center
Contact
Events
Blog
Mailing list
Supporters
Legal
Privacy
Accessibility
Terms