Antiretroviral therapy (ART) is the main intervention needed to reduce morbidity and mortality and to prevent tuberculosis in adults living with HIV. However, in most resource-limited countries, especially in sub-Saharan Africa, ART is started too late to have an effect with substantial early morbidity and mortality, and in high tuberculosis burden settings ART does not reduce the tuberculosis risk to that reported in individuals not infected with HIV. Co-trimoxazole preventive therapy started before or with ART, irrespective of CD4 cell count, reduces morbidity and mortality with benefits that continue indefinitely. Isoniazid preventive therapy as an adjunct to ART prevents tuberculosis in high-exposure settings, with long-term treatment likely to be needed to sustain this benefit. Unfortunately, both preventive therapies are underused in low-income and high-burden settings. ART development has benefited from patient-centred simplification with several effective regimens now available as a one per day pill. We argue that co-trimoxazole and isoniazid should also be combined into a single fixed-dose pill, along with pyridoxine (vitamin B6), that would be taken once per day to help with individual uptake and national scale-up of therapies.
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http://dx.doi.org/10.1016/S1473-3099(15)00242-X | DOI Listing |
JMIR Form Res
January 2025
Faculty of Medicine, The University of Queensland, Brisbane, Australia.
Background: Opioid medications are important for pain management, but many patients progress to unsafe medication use. With few personalized and accessible behavioral treatment options to reduce potential opioid-related harm, new and innovative patient-centered approaches are urgently needed to fill this gap.
Objective: This study involved the first phase of co-designing a digital brief intervention to reduce the risk of opioid-related harm by investigating the lived experience of chronic noncancer pain (CNCP) in treatment-seeking patients, with a particular focus on opioid therapy experiences.
JMIR Infodemiology
January 2025
Salzburg University of Applied Sciences, Puch/Salzburg, Austria.
Background: The novel coronavirus disease (COVID-19) sparked significant health concerns worldwide, prompting policy makers and health care experts to implement nonpharmaceutical public health interventions, such as stay-at-home orders and mask mandates, to slow the spread of the virus. While these interventions proved essential in controlling transmission, they also caused substantial economic and societal costs and should therefore be used strategically, particularly when disease activity is on the rise. In this context, geosocial media posts (posts with an explicit georeference) have been shown to provide a promising tool for anticipating moments of potential health care crises.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Department of Engineering Management and Systems Engineering, George Washington University, Washington, DC, United States.
Background: Large language model (LLM) artificial intelligence chatbots using generative language can offer smoking cessation information and advice. However, little is known about the reliability of the information provided to users.
Objective: This study aims to examine whether 3 ChatGPT chatbots-the World Health Organization's Sarah, BeFreeGPT, and BasicGPT-provide reliable information on how to quit smoking.
Am J Public Health
January 2025
Melanie S. Askari is with the Epidemic Intelligence Service at the Centers for Disease Control and Prevention (CDC) and the New York City Health Department, Long Island City, NY. Robert J. Arciuolo, Olivia Matalka, Krishika A. Graham, Beth M. Isaac, Ramona Lall, Antonine Jean, and Jennifer B. Rosen are with the New York City Health Department, Bureau of Immunization, Long Island City.
To determine utility of syndromic surveillance in improving varicella case detection during an outbreak among recent immigrants to New York City (NYC). During March through August 2023, the NYC Health Department received varicella reports from routine sources and syndromic surveillance from emergency department visits with varicella as a chief complaint or discharge diagnosis. Reports were reviewed to determine if individuals met criteria for confirmed or probable varicella cases and if cases were outbreak-associated.
View Article and Find Full Text PDFAm J Public Health
January 2025
Alexia Couture, A. Danielle Iuliano, Ryan Threlkel, Matthew Gilmer, Alissa O'Halloran, Dawud Ujamaa, Matthew Biggerstaff, and Carrie Reed are with the National Center for Immunization and Respiratory Diseases, Centers for Disease Control and Prevention, Atlanta, GA. Howard H. Chang is with the Department of Biostatistics and Bioinformatics, Rollins School of Public Health, Emory University, Atlanta, GA.
To develop a method leveraging hospital-based surveillance to estimate influenza-related hospitalizations by state, age, and month as a means of enhancing current US influenza burden estimation efforts. Using data from the Influenza Hospitalization Surveillance Network (FluSurv-NET), we extrapolated monthly FluSurv-NET hospitalization rates after adjusting for testing practices and diagnostic test sensitivities to non-FluSurv-NET states. We used a Poisson zero-inflated model with an overdispersion parameter within the Bayesian hierarchical framework and accounted for uncertainty and variability between states and across time.
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