Understanding the impact of pandemics on long-term medication adherence: directly observed therapy in a tuberculosis treatment cohort pre- and post-COVID-19 lockdowns

Authors

Institutions

Publication Details

Journal
BMC Infectious Diseases
Published
2024-10-14
DOI
https://doi.org/10.1186/s12879-024-09994-7
Citations
9
Primary Topic
COVID-19 and Mental Health
Type
article
Field-Weighted Citation Impact
5.75

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the impact of pandemics on long-term medication adherence: directly observed therapy in a tuberculosis treatment cohort pre- and post-COVID-19 lockdowns

Tara Carney, Karen R. Jacobson, Robin M. Warren, Samantha Malatesta et al.
9 citations
BMC Infectious Diseases
COVID-19 and Mental Health
5.75
article

Understanding the impact of pandemics on long-term medication adherence: directly observed therapy in a tuberculosis treatment cohort pre- and post-COVID-19 lockdowns

Tara Carney, Karen R. Jacobson, Robin M. Warren, Samantha Malatesta, Charles Parry, Victoria Overbeck, Tara C. Bouton, Laura F. White, BRONWYN J. MYERS, C. Robert Horsburgh, Danie Theron
article en
9 citations

Abstract

No abstract available for this paper.
BMC Infectious DiseasesVol. 24(1)
South African Medical Research Council (ZA), Boston University (US), Boston Medical Center (US), University of Cape Town (ZA), Curtin University (AU), Stellenbosch University (ZA), Life Groenkloof Hospital (ZA)
National Institute of Allergy and Infectious Diseases
Good health and well-being
Openalex Percentile: Top 4%
COVID-19 and Mental Health
5.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.