Analysis of the Epidemiological Profile of Tuberculosis in the Municipality of Belém do Pará during the Years 2019 to 2023

Objective: To evaluate the epidemiological profile of patients with tuberculosis (TB) in the municipality of Belém from 2019 to 2023 and identify the main risk factors that contribute to the prevalence of TB in affected individuals. Methods: This is an epidemiological, cross-sectional, retrospective, descriptive and quantitative study, using secondary data freely available on the TABNET/DATASUS platform, for the municipality of Belém, covering various variables. Results: The results show a higher prevalence among males (63.31%), adults (69.38%), those with incomplete primary education (29.22%) and those of brown race (72.22%). In addition, the pulmonary form of the disease (83.75%) and the type of entry as a new case (80.67%) were the most prevalent. Conclusions: It was concluded that the prevalence of tuberculosis in Belém is associated with specific sociodemographic characteristics, such as gender, age group, educational level and race. The pulmonary form of the disease and the predominance of new cases are the main aspects observed in the study and highlight the need to intensify Tuberculosis prevention and control strategies.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Medicine and Medical Research
Published
2024-12-29
DOI
https://doi.org/10.9734/jammr/2024/v36i125689
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of the Epidemiological Profile of Tuberculosis in the Municipality of Belém do Pará during the Years 2019 to 2023

Felipe Valino dos Santos, Soraia Pinto, Bruna Rafaela da Silva Sousa, Anna Raquel Silveira Gomes et al.
Journal of Advances in Medicine and Medical Research
Tuberculosis Research and Epidemiology
article

Analysis of the Epidemiological Profile of Tuberculosis in the Municipality of Belém do Pará during the Years 2019 to 2023

Felipe Valino dos Santos, Soraia Pinto, Bruna Rafaela da Silva Sousa, Anna Raquel Silveira Gomes, Diogo Farias Costa, Dulce Brito, Hanna Beatriz Cruz da Costa, Isabelle Soria Galvarro Franco, Antônia Lyandra Jesus Dos Santos, Nelson Silva, Camila Carvalho do Vale, Gerly Anne de Castro Brito, M.M.Q. Simoes, Filipa Ribeiro, Walter Lopes Neto, Maylane Cristina Barros Sousa, Bianca Abreu Pantoja
article en

Abstract

Objective: To evaluate the epidemiological profile of patients with tuberculosis (TB) in the municipality of Belém from 2019 to 2023 and identify the main risk factors that contribute to the prevalence of TB in affected individuals. Methods: This is an epidemiological, cross-sectional, retrospective, descriptive and quantitative study, using secondary data freely available on the TABNET/DATASUS platform, for the municipality of Belém, covering various variables. Results: The results show a higher prevalence among males (63.31%), adults (69.38%), those with incomplete primary education (29.22%) and those of brown race (72.22%). In addition, the pulmonary form of the disease (83.75%) and the type of entry as a new case (80.67%) were the most prevalent. Conclusions: It was concluded that the prevalence of tuberculosis in Belém is associated with specific sociodemographic characteristics, such as gender, age group, educational level and race. The pulmonary form of the disease and the predominance of new cases are the main aspects observed in the study and highlight the need to intensify Tuberculosis prevention and control strategies.

Journal of Advances in Medicine and Medical ResearchVol. 36(12)
Universidade da Amazônia (BR), Universidade do Estado do Pará (BR), Amazon Research Foundation (BR), Centro Universitário do Pará (BR), Universidade Presidente Antônio Carlos (BR), Universidade Federal do Pará (BR)
Good health and well-being
Openalex Percentile: Top 70%
Tuberculosis Research and Epidemiology
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.