PREDICTION OF HIV AND TB PATIENTS BASED ON STOCHASTIC TWO SOURCE DISTRIBUTION COUNTRYWIDE

Dimensions

Sangeetha, Elizabeth T. and Pandiyan, P. and Madhanagopal, K. and Meganathan, M. (2022) PREDICTION OF HIV AND TB PATIENTS BASED ON STOCHASTIC TWO SOURCE DISTRIBUTION COUNTRYWIDE. INTERNATIONAL JOURNAL OF EARLY CHILDHOOD SPECIAL EDUCATION, 14.0 (3). pp. 223-232. ISSN 1308-5581

Full text not available from this repository.

Abstract

Globally, tuberculosis (TB) incidence is dropping at a rate of roughly 2% per year, with an 11% decline between 2015 and 2020. In HIV-positive patients, tuberculosis has been the most commonly affected infection that occurs, and they are at risk of getting infected throughout their illness.Two sources, Erlang and Truncated Exponential Distribution, were used to estimate the most and least afflicted countries for HIV and TB patients. From 2007 to 2014, real-life data was gathered for the study.

Item Type: Article
Uncontrolled Keywords: Grades, HIV, TB, WHO
Subjects: Social Sciences > Education
Divisions: Engineering and Technology > Aarupadai Veedu Institute of Technology, Chennai, India
Medicine > Aarupadai Veedu Medical College and Hospital, Puducherry, India
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 06 Feb 2026 07:00
URI: https://ir.vmrfdu.edu.in/id/eprint/6575

Actions (login required)

View Item
View Item