Evidence map›Paper›PMID 41376679›Full record

ArticlePublic health action2025

Can a TB outbreak be detected by reviewing the surveillance data?

R Yamaguchi, T Umezawa, N Date, W Furusawa, T Maeki, K Uchimura, S Hirao, M Ota

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Article in Public health action, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

R YamaguchiSapporo City Health Office, Sapporo, Japan.
T UmezawaSapporo City Health Office, Sapporo, Japan.
N DateSapporo City Health Office, Sapporo, Japan.
W FurusawaSapporo City Health Office, Sapporo, Japan.
T MaekiSapporo City Health Office, Sapporo, Japan.
K UchimuraResearch Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
S HiraoResearch Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.
M OtaResearch Institute of Tuberculosis, Japan Anti-Tuberculosis Association, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo retrospectively review TB surveillance data to detect whether there was a possible outbreak in the area and verify it in the city of Sapporo, a megalopolis with a low burden of TB.

designA cohort study in which TB notification rates of wards each year were compared with those for the rest of the city. If the rate was significantly higher, the notification rates by sex and age groups were further compared with those of the rest of the city.

resultsSix possible TB outbreaks were found in six wards: Chuo in 2007, Atsubetsu in 2010, Higashi in 2014, Shiroishi in 2015, Nishi in 2017, and Minami in 2018. Further analysis found that the notification rates were significantly higher in specific sex and age groups than those of the rest of the city. The city's outbreak records showed three actual outbreaks (one in Atsubetsu ward in 2010 and two in Higashi in 2014) corresponding to two events found in our analysis.

conclusionOur study shows that retrospectively reviewing TB surveillance data could detect possible outbreaks. Local health offices and prefectures of Japan should monitor their TB surveillance data at least monthly to detect possible outbreaks and take appropriate actions if needed.

Indexed as

disease outbreaksepidemiologyJapanSapporotuberculosis

Identifiers

PMID41376679
PMCPMC12687121

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