Partial Rank Correlation Coefficient (PRCC) sensitivity analysis results, obtained using LHS with 1000 samples and run in Python version 3.11.0.

<p>This highlights the relative influence of model parameters from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0329543#pone.0329543.t001" target="_blank">Table 1</a> on the basic reproduction number . Parameters with positive PRCCs will...

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المؤلف الرئيسي:	Tinashe Victor Mupedza (22022124) (author)
مؤلفون آخرون:	Laurette Mhlanga (18346971) (author), Dennis Mamutse (22022127) (author), Mlyashimbi Helikumi (22022130) (author), Paride Oresto Lolika (22022133) (author), Shingirai Tangakugara Murambiwa (22022136) (author), Adquate Mhlanga (18346968) (author)
منشور في:	2025
الموضوعات:	Medicine Sociology Cancer Science Policy Environmental Sciences not elsewhere classified Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified public health policy lmic ), despite including patient education hepatitis c virus acutely infected individuals predicting disease progression treatment adherence challenges poor treatment adherence improve treatment adherence curbing hcv proliferation stronger health interventions lmics like zimbabwe div >< p infectious disease modeling hcv transmission dynamics hcv model indicates treatment adherence transmission dynamics disease spread well understood vital metric study underlines study employed study demonstrated still increasing simultaneously enhancing rigorous monitoring reproduction number recovery rate pressing need model unraveled mathematical model income country financial assistance equilibrium states effective treatments
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Partial Rank Correlation Coefficient (PRCC) sensitivity analysis results, obtained using LHS with 1000 samples and run in Python version 3.11.0.

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