Evidence map›Paper›PMID 39325760›Full record

ArticlePloS one2024

Social-behavioral insights in understanding tuberculosis transmission pattern during the COVID-19 pandemic period in Kuala Lumpur, Malaysia: The MyTBNet study protocol.

Zirwatul Adilah Aziz, Abdul Hadi Mohamad, Noorliza Mohamad Noordin, Noorsuzana Mohd Shariff

Abstract read
In one paragraph

Article in PloS one, 2024. 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

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Zirwatul Adilah AzizTB and Leprosy Section, Disease Department, National Public Health Laboratory, Ministry of Health Malaysia, Sungai Buloh, Selangor, Malaysia.
Abdul Hadi MohamadSchool of Computer Science, Taylor's University, Subang Jaya, Selangor, Malaysia.
Noorliza Mohamad NoordinTB and Leprosy Section, Disease Department, National Public Health Laboratory, Ministry of Health Malaysia, Sungai Buloh, Selangor, Malaysia.
Noorsuzana Mohd ShariffEmerging Infectious Disease Research Group, Department of Community Health, Advanced Medical and Dental Institute, Universiti Sains Malaysia, Kepala Batas, Penang, Malaysia.ORCID 0000-0002-1692-8626

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many countries have reported increase of TB incidence during the COVID-19 pandemic period, which demands dire attention as it may threaten global effort to end TB transmission. Services, are among many others, were disrupted by the COVID-19 pandemic during the years 2020 and 2021; but its impact on the TB transmission is not well understood. This retrospective population-based molecular and epidemiological cohort study aims to determine the pattern of TB transmission in Kuala Lumpur (an area with high population density, moderate TB burden and high rates of COVID-19 cases) for the cohort of Pulmonary TB (PTB) cases notified from 2020 until 2021 and factors associated with clustering or clear epidemiologic linkage. This study will be carried out from 2022 until 2024. The study will utilise comparative phylogenetic analysis to determine the degree of relatedness between different isolates, based on the genomes similarities, and overlay this with epidemiological, clinical and social network data to enhance understanding of the social-behavioural dynamics of TB transmission. Mycobacterium tuberculosis complex (MTBC) cultures will be genotyped using Mycobacterial Interspersed Repetitive Unit Variable Number Tandem Repeats (MIRU-VNTR) and whole-genome sequence (WGS) for MTBC cluster isolates. Epidemiologic and genomic data will be overlaid on a social network constructed by means of interviews with patients, by using Social Network Analysis questionnaire, to determine the origins and transmission dynamics of the outbreak. The finding of this study would aid in the identification of TB transmission events, facilitating active case finding, TB screening, TB contact tracing, and the mapping of social contacts during critical period. This will contribute to building an effective preventive and preparedness strategy to interrupt TB transmission in Malaysia, tailored to the characteristics of the local population.

Indexed as

COVID-19Mycobacterium tuberculosisAdultFemaleHumansMalaysiaMalePandemicsPhylogenyRetrospective StudiesSARS-CoV-2TuberculosisTuberculosis, Pulmonary

Identifiers

PMID39325760
PMCPMC11426513

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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.