The role of mobility and health disparities on the transmission dynamics of Tuberculosis. Issue 1 (December 2017)
- Record Type:
- Journal Article
- Title:
- The role of mobility and health disparities on the transmission dynamics of Tuberculosis. Issue 1 (December 2017)
- Main Title:
- The role of mobility and health disparities on the transmission dynamics of Tuberculosis
- Authors:
- Moreno, Victor
Espinoza, Baltazar
Barley, Kamal
Paredes, Marlio
Bichara, Derdei
Mubayi, Anuj
Castillo-Chavez, Carlos - Abstract:
- Abstract Background The 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. Methods This 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. Results The 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 patchesAbstract Background The 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. Methods This 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. Results The 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. Conclusions The 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. … (more)
- Is Part Of:
- Theoretical biology and medical modelling. Volume 14:Issue 1(2017)
- Journal:
- Theoretical biology and medical modelling
- Issue:
- Volume 14:Issue 1(2017)
- Issue Display:
- Volume 14, Issue 1 (2017)
- Year:
- 2017
- Volume:
- 14
- Issue:
- 1
- Issue Sort Value:
- 2017-0014-0001-0000
- Page Start:
- 1
- Page End:
- 17
- Publication Date:
- 2017-12
- Subjects:
- Tuberculosis -- Residence times -- Heterogeneity -- Exogenous re-infection -- Direct first time infection rate -- Metapopulation model
Biology -- Mathematical models -- Periodicals
Biology -- Periodicals
Medical sciences -- Periodicals
570.15118 - Journal URLs:
- http://link.springer.com/ ↗
http://www.pubmedcentral.nih.gov/tocrender.fcgi?journal=250 ↗ - DOI:
- 10.1186/s12976-017-0049-6 ↗
- Languages:
- English
- ISSNs:
- 1742-4682
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 10027.xml