Investigation of tuberculosis incidence and particulate matter concentration in the middle east

Air pollution is the fifth and sixth leading risk factor for global mortality and reduced life expectancy. Studies have established a link between atmospheric pollution and the incidence, hospitalization, and mortality rates of pulmonary tuberculosis (PTB). The city of Zabol has experienced persistent dust storms for several years, with an average annual PM<sub>10</sub> concentration of 206 µg/m³-more than nine times the permissible limit. The results of this study indicate a significant correlation between increased PM<sub>10</sub> levels and the incidence of tuberculosis. To model the disease, machine learning (ML) techniques, including support vector machines (SVM) and k-nearest neighbors (KNN), were employed. Among these, SVM demonstrated the highest accuracy, with a correlation coefficient of 92.4% between the experimental data and the model's training outputs.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-11-21
DOI
https://doi.org/10.1038/s41598-025-25250-7
Primary Topic
Air Quality Monitoring and Forecasting
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation of tuberculosis incidence and particulate matter concentration in the middle east

Maryam Sarkhosh, Ali Asghar Najafpoor, Morteza Esfandyari, Saeed Akhlaghi et al.
Scientific Reports
Air Quality Monitoring and Forecasting
article

Investigation of tuberculosis incidence and particulate matter concentration in the middle east

Maryam Sarkhosh, Ali Asghar Najafpoor, Morteza Esfandyari, Saeed Akhlaghi, Javad Shahraki
article en

Abstract

Air pollution is the fifth and sixth leading risk factor for global mortality and reduced life expectancy. Studies have established a link between atmospheric pollution and the incidence, hospitalization, and mortality rates of pulmonary tuberculosis (PTB). The city of Zabol has experienced persistent dust storms for several years, with an average annual PM<sub>10</sub> concentration of 206 µg/m³-more than nine times the permissible limit. The results of this study indicate a significant correlation between increased PM<sub>10</sub> levels and the incidence of tuberculosis. To model the disease, machine learning (ML) techniques, including support vector machines (SVM) and k-nearest neighbors (KNN), were employed. Among these, SVM demonstrated the highest accuracy, with a correlation coefficient of 92.4% between the experimental data and the model's training outputs.

Scientific ReportsVol. 15(1)
Mashhad University of Medical Sciences (IR), University of Bojnord (IR), Zabol University of Medical Sciences (IR)
Mashhad University of Medical Sciences
Openalex Percentile: Top 67%
Air Quality Monitoring and Forecasting
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.