Evidence map›Paper›PMID 38638801›Full record

ArticleGeoHealth2024

Spatio-Temporal Pattern of Tuberculosis Distribution in Romania and Particulate Matter Pollution Associated With Risk of Infection.

D Peptenatu, A M Băloi, O Andronic, A Bolocan, N Cioran, A K Gruia, A Grecu, T C Panciu, L Georgescu, I Munteanu and 9 more

Abstract read
In one paragraph

Article in GeoHealth, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

19 authors.

D PeptenatuFaculty of Geography Research Center for Integrated Analysis and Territorial Management (CAIMT) University of Bucharest Bucharest Romania.
A M BăloiFaculty of Geography Research Center for Integrated Analysis and Territorial Management (CAIMT) University of Bucharest Bucharest Romania.ORCID https://orcid.org/0000-0001-9521-0323
O AndronicCarol Davila University of Medicine and Pharmacy Bucharest Romania.
A BolocanCarol Davila University of Medicine and Pharmacy Bucharest Romania.
N CioranCarol Davila University of Medicine and Pharmacy Bucharest Romania.
A K GruiaFaculty of Administration and Business University of Bucharest Bucharest Romania.
A GrecuFaculty of Administration and Business University of Bucharest Bucharest Romania.
T C PanciuMarius Nasta Institute of Pneumology Bucharest Romania.
L GeorgescuMarius Nasta Institute of Pneumology Bucharest Romania.
I MunteanuMarius Nasta Institute of Pneumology Bucharest Romania.
A PistolCarol Davila University of Medicine and Pharmacy Bucharest Romania.ORCID https://orcid.org/0000-0002-7509-0616
F FurtunescuCarol Davila University of Medicine and Pharmacy Bucharest Romania.ORCID https://orcid.org/0000-0002-4441-1325
I R StrâmbuCarol Davila University of Medicine and Pharmacy Bucharest Romania.
E IbrahimMarius Nasta Institute of Pneumology Bucharest Romania.ORCID https://orcid.org/0000-0001-9309-2087
D BăiceanuMarius Nasta Institute of Pneumology Bucharest Romania.ORCID https://orcid.org/0000-0002-1219-0011
G G PopescuMarius Nasta Institute of Pneumology Bucharest Romania.
D PăduraruCarol Davila University of Medicine and Pharmacy Bucharest Romania.
V JingaCarol Davila University of Medicine and Pharmacy Bucharest Romania.
B MahlerCarol Davila University of Medicine and Pharmacy Bucharest Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The study proposes a dynamic spatio-temporal profile of the distribution of tuberculosis incidence and air pollution in Romania, where this infectious disease induces more than 8,000 new cases annually. The descriptive analysis for the years 2012-2021 assumes an identification of the structuring patterns of mycobacterium tuberculosis risk in the Romanian population, according to gender and age, exploiting spatial modeling techniques of time series data. Through spatial autocorrelation, the degree of similarity between the analyzed territorial systems was highlighted and the relationships that are built between the analysis units in spatial proximity were investigated. By modeling the geographical distribution of tuberculosis, the spatial correlation with particulate matter (PM

Identifiers

PMID38638801
PMCPMC11025721

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.