Tuberculosis—a Millennial Disease in the Age of New Technologies
A special issue of Applied Sciences (ISSN 2076-3417). This special issue belongs to the section "Applied Biosciences and Bioengineering".
Deadline for manuscript submissions: closed (30 April 2025) | Viewed by 1253
Special Issue Editors
2. Pneumology Department, Marius Nasta Institute of Pneumology, 050159 Bucharest, Romania
Interests: respiratory diseases; tuberculosis; air pollution
2. Phisiology Department, Faculty of Medicine, Titu Maiorescu University, 0400511 Bucharest, Romania
Interests: tuberculosis; sleep apnea; respiratory disease
Interests: asthma; food allergy; microRNAs; exosomes
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
New technologies significantly change the approach to airborne diseases, which over time have posed real macro-management challenges. Tuberculosis (TB) remains one of the diseases responsible for the largest number of deaths caused by communicable diseases globally, requiring special attention from us, those who care for patients with tuberculosis.
This Special Issue aims to explore the role of new technologies in epidemiological surveillance, in the diagnosis of TB, and also in increasing patient adherence to treatment. We invite original research articles, reviews, and meta-analyses that analyze the prevalence as well as incidence rates of TB, identify environmental and behavioral risk factors, and examine the impact of technology on the medical surveillance of patients with TB. Studies on the effectiveness of public health interventions, disease management programs, and health policy implications are also welcome.
Understanding the epidemiology and associated factors of TB is crucial for the development of prevention strategies aimed especially at vulnerable groups, the improvement of early diagnosis, and the optimization of treatment protocols. This Special Issue aims to gather comprehensive evidence to inform clinical practice and public health policies, ultimately aiming to reduce the burden of TB and improve quality of life by reducing the stigma of those affected.
Dr. Beatrice Mahler
Dr. Ioana Munteanu
Dr. José Antonio Canas
Guest Editors
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Keywords
- tuberculosis
- public health intervention
- technology
- AI
- diagnosis
- treatment
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