Mathematical models of drug-resistant tuberculosis lack bacterial heterogeneity: A systematic review
NM Fuller, CF McQuaid, MJ Harker… - Plos …, 2024 - journals.plos.org
Drug-resistant tuberculosis (DR-TB) threatens progress in the control of TB. Mathematical
models are increasingly being used to guide public health decisions on managing both …
models are increasingly being used to guide public health decisions on managing both …
On the evolutionary ecology of multidrug resistance in bacteria
Resistance against different antibiotics appears on the same bacterial strains more often
than expected by chance, leading to high frequencies of multidrug resistance. There are …
than expected by chance, leading to high frequencies of multidrug resistance. There are …
[HTML][HTML] Heterogeneous infectiousness in mathematical models of tuberculosis: A systematic review
TB mathematical models employ various assumptions and approaches in dealing with the
heterogeneous infectiousness of persons with active TB. We reviewed existing approaches …
heterogeneous infectiousness of persons with active TB. We reviewed existing approaches …
[HTML][HTML] Mathematical analysis of a two-strain disease model with amplification
We investigate a two-strain disease model with amplification to simulate the prevalence of
drug-susceptible (s) and drug-resistant (m) disease strains. Drug resistance first emerges …
drug-susceptible (s) and drug-resistant (m) disease strains. Drug resistance first emerges …
Comparative performance of genomic methods for the detection of pyrazinamide resistance and heteroresistance in Mycobacterium tuberculosis
MG Whitfield, DM Engelthaler, C Allender… - Journal of clinical …, 2022 - Am Soc Microbiol
Pyrazinamide is an important component of both drug-susceptible and drug-resistant
tuberculosis treatment regimens. Although approximately 50% of rifampin-resistant isolates …
tuberculosis treatment regimens. Although approximately 50% of rifampin-resistant isolates …
Estimating the health and macroeconomic burdens of tuberculosis in India, 2021–2040: A fully integrated modelling study
Background Tuberculosis (TB) imposes a substantial health and economic burden on many
populations and countries, but lack of funding has significantly contributed to several …
populations and countries, but lack of funding has significantly contributed to several …
Predicting resistance to fluoroquinolones among patients with rifampicin-resistant tuberculosis using machine learning methods
Background Limited access to drug-susceptibility tests (DSTs) and delays in receiving DST
results are challenges for timely and appropriate treatment of multi-drug resistant …
results are challenges for timely and appropriate treatment of multi-drug resistant …
Bayesian Calibration to Address the Challenge of Antimicrobial Resistance: A Review
Antimicrobial resistance (AMR) emerges when disease-causing microorganisms develop
the ability to withstand the effects of antimicrobial therapy. This phenomenon is often fueled …
the ability to withstand the effects of antimicrobial therapy. This phenomenon is often fueled …
[HTML][HTML] Dynamic model of tuberculosis considering multi-drug resistance and their applications
Y Yu, Y Shi, W Yao - Infectious disease modelling, 2018 - Elsevier
Infectious diseases have always been a problem that threatens people's health and
tuberculosis is one of the major. With the development of medical scientific research, drug …
tuberculosis is one of the major. With the development of medical scientific research, drug …
Half of rifampicin-resistant Mycobacterium tuberculosis complex isolated from tuberculosis patients in Sub-Saharan Africa have concomitant resistance to …
JCS Ngabonziza, AB Diallo, E Tagliani, B Diarra… - PLoS …, 2017 - journals.plos.org
Background Besides inclusion in 1st line regimens against tuberculosis (TB), pyrazinamide
(PZA) is used in 2nd line anti-TB regimens, including in the short regimen for multidrug …
(PZA) is used in 2nd line anti-TB regimens, including in the short regimen for multidrug …