ArticleTheoretical biology & medical modelling2017
The role of mobility and health disparities on the transmission dynamics of Tuberculosis.
Article in Theoretical biology & medical modelling, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 33 citations in OpenAlex.
- Prevalence and risk factors of tuberculosis among people living with HIV/AIDS in China: a systematic review and meta-analysis.BMC infectious diseases · 2023Pooled it
- First insights into the genetic composition ofJournal of clinical tuberculosis and other mycobacterial diseases · 2025Article
- Model predicted human mobility explains COVID-19 transmission in urban space without behavioral data.Scientific reports · 2025Article
- Effect of population aging on pulmonary tuberculosis burden in Zhejiang Province, China: a population-based study.Frontiers in public health · 2025Article
- Spatiotemporal analysis of pulmonary tuberculosis in the central region of the Zhejiang Province, China (2016-2024).Frontiers in public health · 2025Article
- Vector-borne disease models with Lagrangian approach.Journal of mathematical biology · 2024Article
- Article
- Air pollution and mobility patterns in two Ugandan cities during COVID-19 mobility restrictions suggest the validity of air quality data as a measure for human mobility.Environmental science and pollution research international · 2023Article
- Mesenchymal Stem Cells and Tuberculosis: Clinical Challenges and Opportunities.Frontiers in immunology · 2021Review
- Rapid detection of Mycobacterium tuberculosis DNA and genetic markers for Isoniazid resistance in Ziehl-Neelsen stained slides.Memorias do Instituto Oswaldo Cruz · 2020Article
- Article
- Narrating the Transition to Adulthood for Youth in Uganda: Leaving School, Mobility, Risky Occupations, and HIV.Health education & behavior : the official publication of the Society for Public Health Education · 2019Article
- Introducing risk inequality metrics in tuberculosis policy development.Nature communications · 2019Article
Corrections and comments
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Authors and funding
7 authors at 4 institutions in 3 countries.
Funding
Abstract
backgroundThe transmission dynamics of Tuberculosis (TB) involve complex epidemiological and socio-economical interactions between individuals living in highly distinct regional conditions. The level of exogenous reinfection and first time infection rates within high-incidence settings may influence the impact of control programs on TB prevalence. The impact that effective population size and the distribution of individuals' residence times in different patches have on TB transmission and control are studied using selected scenarios where risk is defined by the estimated or perceive first time infection and/or exogenous re-infection rates.
methodsThis study aims at enhancing the understanding of TB dynamics, within simplified, two patch, risk-defined environments, in the presence of short term mobility and variations in reinfection and infection rates via a mathematical model. The modeling framework captures the role of individuals' 'daily' dynamics within and between places of residency, work or business via the average proportion of time spent in residence and as visitors to TB-risk environments (patches). As a result, the effective population size of Patch i (home of i-residents) at time t must account for visitors and residents of Patch i, at time t.
resultsThe study identifies critical social behaviors mechanisms that can facilitate or eliminate TB infection in vulnerable populations. The results suggest that short-term mobility between heterogeneous patches contributes to significant overall increases in TB prevalence when risk is considered only in terms of direct new infection transmission, compared to the effect of exogenous reinfection. Although, the role of exogenous reinfection increases the risk that come from large movement of individuals, due to catastrophes or conflict, to TB-free areas.
conclusionsThe study highlights that allowing infected individuals to move from high to low TB prevalence areas (for example via the sharing of treatment and isolation facilities) may lead to a reduction in the total TB prevalence in the overall population. The higher the population size heterogeneity between distinct risk patches, the larger the benefit (low overall prevalence) under the same "traveling" patterns. Policies need to account for population specific factors (such as risks that are inherent with high levels of migration, local and regional mobility patterns, and first time infection rates) in order to be long lasting, effective and results in low number of drug resistant cases.
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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.