ArticleFrontiers in public health2025
Geospatial analysis of tuberculosis incidence in relation to socio-economic and environmental indicators in Romania.
Article in Frontiers in public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
Abstract
Introduction: Tuberculosis (TB) is a global public health burden. Romania experiences some of the highest rates of TB compared to other European countries. TB incidence is spatially clustered throughout Romania, and the reasoning behind this is likely linked to various environmental and socio-economic factors. This study aimed to investigate the spatial distribution of TB incidence per 1,000 population between 2015 and 2021 and examined its correlation with particulate matter (PM2.5) levels, living conditions, and level of educational indicators. Methods: TB incidence data from 2015 to 2021 aggregated at the level of 3,181 administrative territorial units (UATs) in Romania were analyzed. Pearson correlation coefficients examined linear associations among total TB incidence and exploratory indicators. A Principal Component Analysis (PCA) was conducted due to the presence of multicollinearity in the Pearson correlation matrix, which grouped key housing indicators into one hybrid living condition index (PCA1). Bivariate Moran's I analyses assessed localized spatial clustering between TB incidence and two exploratory indicators: PM2.5 levels and PCA1. A spatial lag regression model accounted for spatial dependence between TB incidence and three explanatory predictors: PM2.5 levels, the percentage of the population that is illiterate, and PCA1. All significance tests were conducted at a threshold of Results: TB incidence is spatially clustered in Romania. PM2.5 levels ( Discussion/Conclusion: This is the first geospatial study in Romania that explores the link between TB incidence and exploratory indicators of air pollution, living conditions, and education level using epidemiological data obtained in the national tuberculosis surveillance and control program. Greater exposure to air pollution and worsened living conditions are correlated with higher TB incidence rates. Policymakers should highlight the need for geographically targeted interventions to improve TB control and screening in Romania.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.