Open AccessProbabilistic measures of HIV-1 transmission in different HIV-1 key population groups of Larkana, Pakistan
Author(s) -
Syed Rizwan-Ul-Hasa,
Abiha Abdullah,
Shakil Arshad Siddiqui,
Shakil Ahmed,
Sharaf Ali Shah,
Fatima Mir,
Syed Hani Abidi
Publication year - 2021
Publication title -
journal of the pakistan medical association
Language(s) - English
Resource type - Journals
ISSN - 0030-9982
DOI - 10.47391/jpma.0005
Subject(s) - medicine , population , transmission (telecommunications) , men who have sex with men , human immunodeficiency virus (hiv) , probabilistic logic , demography , statistics , virology , environmental health , mathematics , computer science , telecommunications , syphilis , sociology
Objective: To estimate the probability of human immunodeficiency virus (HIV)-1 transmission from different key HIV population groups using probabilistic modelling.
Methods: This study was conducted in December 2020. A probabilistic model was used to estimate the probability of HIV-1 transmission from different key HIV population groups in Larkana. Our model was run on three probabilistic assumptions: 1) each replication gave two conceivable results: ‘true’ or ‘false’; 2) the chance of giving a ‘true’ result is the same for each replication; and 3) the replications are independent - ‘true’ in one will not impact the likelihood of ‘true’ in another.
Results: The results estimated the probability of HIV transmission in key HIV population groups in Larkana to range between 0.42–0.54 per trial, where the highest probability of transmission was predicted for men who have sex with men (MSM; 0.54 per trial), followed by transgender (TG; 0.46 per trial) and people who inject drugs (PWID; 0.457 per trial).
Conclusion: Our results suggest that there is a high likelihood of HIV transmission by key population groups in Larkana, such as MSM, TG, and PWID. Mathematic models, such as one proposed in our study can aid the HIV and acquired immunodeficiency syndrome (AIDS) control programmes in evaluating and optimising the strategies in controlling transmission of HIV from the key population groups.
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