Mapping the Distribution of Detected Cases in the Region with a Low TuberculosisIncidence Rate

Introduction: A decrease in the incidence of tuberculosis (TB) in the regions of the Russian Federation is accompanied by spatial heterogeneity in the distribution of detected TB cases in their municipal districts, which requires optimization of planning annual periodic health examinations aimed at early detection of TB in the population. Objective: To establish spatial distribution of detected tuberculosis cases in the municipal districts of the Kaluga Region. Materials and methods: We used data from Rosstat report forms Nos. 8 and 30 for 2019–2023, QGIS 3.36.1, and Statistica software to map the spatial distribution of detected TB cases. The correlation coefficient (r) and the Fisher’s exact test were used for the analysis. The differences were regarded as statistically significant at p < 0.05. Results: We identified the Northern and the Southern Clusters comprising 459 detected TB cases in the Kaluga Region, the former including 75 % of the patients. The density of TB cases in the Northern Cluster per square kilometer was 4 times higher than in the Southern Cluster. Tuberculosis case detection rates in the Northern Cluster were 71.7 %, 78.8 %, and 79 % in the years 2021, 2022, and 2023, respectively, which indicated a higher risk of TB spread among the population living in this territory. Conclusion: The cluster analysis of spatial distribution of newly detected TB cases across municipal districts of the constituent entities of the Russian Federation allows timely measures to be taken to optimize scheduling of annual tuberculosis screening among the population.

Authors

Institutions

Publication Details

Journal
ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
Published
2024-11-01
DOI
https://doi.org/10.35627/2219-5238/2024-32-11-50-56
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

Mapping the Distribution of Detected Cases in the Region with a Low TuberculosisIncidence Rate

Э.Б. Цыбикова, И. С. Лапшина, М. В. Захарова
ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
Tuberculosis Research and Epidemiology
article

Mapping the Distribution of Detected Cases in the Region with a Low TuberculosisIncidence Rate

Э.Б. Цыбикова, И. С. Лапшина, М. В. Захарова
article en

Abstract

Introduction: A decrease in the incidence of tuberculosis (TB) in the regions of the Russian Federation is accompanied by spatial heterogeneity in the distribution of detected TB cases in their municipal districts, which requires optimization of planning annual periodic health examinations aimed at early detection of TB in the population. Objective: To establish spatial distribution of detected tuberculosis cases in the municipal districts of the Kaluga Region. Materials and methods: We used data from Rosstat report forms Nos. 8 and 30 for 2019–2023, QGIS 3.36.1, and Statistica software to map the spatial distribution of detected TB cases. The correlation coefficient (r) and the Fisher’s exact test were used for the analysis. The differences were regarded as statistically significant at p < 0.05. Results: We identified the Northern and the Southern Clusters comprising 459 detected TB cases in the Kaluga Region, the former including 75 % of the patients. The density of TB cases in the Northern Cluster per square kilometer was 4 times higher than in the Southern Cluster. Tuberculosis case detection rates in the Northern Cluster were 71.7 %, 78.8 %, and 79 % in the years 2021, 2022, and 2023, respectively, which indicated a higher risk of TB spread among the population living in this territory. Conclusion: The cluster analysis of spatial distribution of newly detected TB cases across municipal districts of the constituent entities of the Russian Federation allows timely measures to be taken to optimize scheduling of annual tuberculosis screening among the population.

ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT
Bio-Medical Science (South Korea) (KR)
Openalex Percentile: Top 71%
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.

Mapping the Distribution of Detected Cases in the Region with a Low TuberculosisIncidence Rate — Э.Б. Цыбикова, И. С. Лапшина, et al. · ЗДОРОВЬЕ НАСЕЛЕНИЯ И СРЕДА ОБИТАНИЯ - ЗНиСО / PUBLIC HEALTH AND LIFE ENVIRONMENT (2024) | TGRS Research Map | TGRS