Evidence map›Paper›PMID 34159071›Full record

ArticlePublic health action2021

Identification of TB space-time clusters and hotspots in Ouest

A M Dismer, M Charles, N Dear, J M Louis-Jean, N Barthelemy, M Richard, W Morose, D L Fitter

Abstract read
In one paragraph

Article in Public health action, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Molecular Epidemiology of Isoniazid-resistantOpen forum infectious diseases · 2024
    Article
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

8 authors.

A M DismerCenters for Disease Control and Prevention (CDC), Atlanta, GA, USA.
M CharlesCDC, Port-au-Prince, Haiti.
N DearCDC, Port-au-Prince, Haiti.
J M Louis-JeanProgramme National de Lutte contre la Tuberculose, Ministère de la Santé Publique et de la Population, Port-au-Prince, Haiti.
N BarthelemyDirectorate of Epidemiology, Laboratory, and Research, Ministère de la Santé Publique et de la Population, Port-au-Prince, Haiti.
M RichardProgramme National de Lutte contre la Tuberculose, Ministère de la Santé Publique et de la Population, Port-au-Prince, Haiti.
W MoroseProgramme National de Lutte contre la Tuberculose, Ministère de la Santé Publique et de la Population, Port-au-Prince, Haiti.
D L FitterCDC, Port-au-Prince, Haiti.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHaiti has the highest incidence rate of TB in the Western Hemisphere, with an estimated 170 cases per 100,000 in 2019. Since 2010, control efforts have focused on targeted case-finding activities in urban areas, implementation of rapid molecular diagnostics at high-volume TB centers, and improved reporting. TB analyses are rarely focused on lower geographic units; thus, the major goal was to determine if there were focal areas of TB transmission from 2011 to 2016 at operational geographic levels useful for the National TB Control Program (PNLT).

methodsWe created a geocoder to locate TB cases at the smallest geographic level. Kulldorff's space-time permutation scan, Anselin Moran's

resultsWith 91% of cases linked using the geocoder, TB clusters were identified each year. Getis-Ord Gi* analysis revealed 14 distinct spatial clusters of high incidences in the Port-au-Prince metropolitan area. One hundred retrospective space-time clusters were detected.

conclusionOur study confirms the presence of TB hotspots in the Ouest

Indexed as

Anselin Moran’s IGeocoderGetis-Ord Gi*space-time scan

Identifiers

PMID34159071
PMCPMC8202626

What OpenQuestion holds

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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.