The Importance of Involving a Multidisciplinary Team in the Management of a Patient Diagnosed with TB, Associating Erythema Nodosum

Authors

  • Oana Mariana Mihailov “Dunărea de Jos” University of Galati, Galați, Romania,
  • Raul Mihailov “Dunărea de Jos” University of Galati, Galați, Romania,
  • Ciprian Dinu “Dunărea de Jos” University of Galati, Galați, Romania,
  • Alexandru Bogdan Ciubara “Dunărea de Jos” University of Galati, Galați, Romania,

DOI:

https://doi.org/10.18662/brain/15.1/545

Keywords:

Tuberculosis, children, erythema nodosum, multidisciplinary team, depression

Abstract

Tuberculosis (TB) is an important and topical problem at global level, so it remains a challenge for public health policies . According to the World Health Organization (WHO), in 2018, about 10 million new TB cases worldwide were estimated. Of these, 11% are children under the age of 15. In addition to these alarming data, TB is responsible for 130,000 deaths per year in children and it is estimated that there are approximately 1 million TB-cases in the global population of children, being one of the top 10 causes of death in children worldwide.  According to the WHO, there are economic, social, cultural, ethnic/racial, psychological and behavioral factors that interfere with the occurrence of diseases, and these factors are attributed to the persistence of infectious diseases such as TB in the population, even today. Numerous specialized studies strengthen the hypothesis of associating social vulnerability with TB emergence and distribution in the community. Therefore, the development of more accurate estimates of pediatric TB cases is an urgent need for public policy scheduling and resource allocation and, consequently, for reducing morbidity and mortality from TB among children.     

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Published

2024-02-06

How to Cite

Mihailov, O. M., Mihailov, R., Dinu, C., & Ciubara, A. B. (2024). The Importance of Involving a Multidisciplinary Team in the Management of a Patient Diagnosed with TB, Associating Erythema Nodosum. BRAIN. Broad Research in Artificial Intelligence and Neuroscience, 15(1), 193-207. https://doi.org/10.18662/brain/15.1/545

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