A dynamic analysis of tuberculosis dissemination to improve control and surveillance
Background: Detailed analysis of the dynamic interactions among biological, environmental, social, and economic factors that favour the spread of certain diseases is extremely useful for designing effective control strategies. Diseases like tuberculosis that kills somebody every 15 seconds in the wo...
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| Formato: | Artículo publishedVersion |
| Lenguaje: | Inglés |
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2010
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| Acceso en línea: | http://hdl.handle.net/20.500.12110/paper_19326203_v5_n11_p_ZorzenondosSantos |
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paperaa:paper_19326203_v5_n11_p_ZorzenondosSantos2023-06-12T16:51:26Z A dynamic analysis of tuberculosis dissemination to improve control and surveillance PLoS ONE 2010;5(11) Zorzenon dos Santos, R.M. Amador, A. de Souza, W.V. de Albuquerque, M.F.P.M. Ponce Dawson, S. Ruffino-Netto, A. Zárate-Bladés, C.R. Silva, C.L. BCG vaccine tuberculostatic agent antibiotic resistance article Brazil budget disease course disease transmission endemic disease geographic information system health care delivery health care personnel management health program human incidence Mycobacterium tuberculosis patient compliance population research remote sensing resource allocation social status tuberculosis tuberculosis control Brazil Geography Humans Incidence Population Density Population Dynamics Population Surveillance Socioeconomic Factors Tuberculosis Background: Detailed analysis of the dynamic interactions among biological, environmental, social, and economic factors that favour the spread of certain diseases is extremely useful for designing effective control strategies. Diseases like tuberculosis that kills somebody every 15 seconds in the world, require methods that take into account the disease dynamics to design truly efficient control and surveillance strategies. The usual and well established statistical approaches provide insights into the cause-effect relationships that favour disease transmission but they only estimate risk areas, spatial or temporal trends. Here we introduce a novel approach that allows figuring out the dynamical behaviour of the disease spreading. This information can subsequently be used to validate mathematical models of the dissemination process from which the underlying mechanisms that are responsible for this spreading could be inferred. Methodology/Principal Findings: The method presented here is based on the analysis of the spread of tuberculosis in a Brazilian endemic city during five consecutive years. The detailed analysis of the spatio-temporal correlation of the yearly geo-referenced data, using different characteristic times of the disease evolution, allowed us to trace the temporal path of the aetiological agent, to locate the sources of infection, and to characterize the dynamics of disease spreading. Consequently, the method also allowed for the identification of socio-economic factors that influence the process. Conclusions/Significance: The information obtained can contribute to more effective budget allocation, drug distribution and recruitment of human skilled resources, as well as guiding the design of vaccination programs. We propose that this novel strategy can also be applied to the evaluation of other diseases as well as other social processes. © 2010 Zorzenon dos Santos et al. Fil:Amador, A. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. Fil:Ponce Dawson, S. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales; Argentina. 2010 info:eu-repo/semantics/article info:ar-repo/semantics/artículo info:eu-repo/semantics/publishedVersion application/pdf eng info:eu-repo/semantics/openAccess http://creativecommons.org/licenses/by/2.5/ar http://hdl.handle.net/20.500.12110/paper_19326203_v5_n11_p_ZorzenondosSantos |
| institution |
Universidad de Buenos Aires |
| institution_str |
I-28 |
| repository_str |
R-134 |
| collection |
Biblioteca Digital - Facultad de Ciencias Exactas y Naturales (UBA) |
| language |
Inglés |
| orig_language_str_mv |
eng |
| topic |
BCG vaccine tuberculostatic agent antibiotic resistance article Brazil budget disease course disease transmission endemic disease geographic information system health care delivery health care personnel management health program human incidence Mycobacterium tuberculosis patient compliance population research remote sensing resource allocation social status tuberculosis tuberculosis control Brazil Geography Humans Incidence Population Density Population Dynamics Population Surveillance Socioeconomic Factors Tuberculosis |
| spellingShingle |
BCG vaccine tuberculostatic agent antibiotic resistance article Brazil budget disease course disease transmission endemic disease geographic information system health care delivery health care personnel management health program human incidence Mycobacterium tuberculosis patient compliance population research remote sensing resource allocation social status tuberculosis tuberculosis control Brazil Geography Humans Incidence Population Density Population Dynamics Population Surveillance Socioeconomic Factors Tuberculosis Zorzenon dos Santos, R.M. Amador, A. de Souza, W.V. de Albuquerque, M.F.P.M. Ponce Dawson, S. Ruffino-Netto, A. Zárate-Bladés, C.R. Silva, C.L. A dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| topic_facet |
BCG vaccine tuberculostatic agent antibiotic resistance article Brazil budget disease course disease transmission endemic disease geographic information system health care delivery health care personnel management health program human incidence Mycobacterium tuberculosis patient compliance population research remote sensing resource allocation social status tuberculosis tuberculosis control Brazil Geography Humans Incidence Population Density Population Dynamics Population Surveillance Socioeconomic Factors Tuberculosis |
| description |
Background: Detailed analysis of the dynamic interactions among biological, environmental, social, and economic factors that favour the spread of certain diseases is extremely useful for designing effective control strategies. Diseases like tuberculosis that kills somebody every 15 seconds in the world, require methods that take into account the disease dynamics to design truly efficient control and surveillance strategies. The usual and well established statistical approaches provide insights into the cause-effect relationships that favour disease transmission but they only estimate risk areas, spatial or temporal trends. Here we introduce a novel approach that allows figuring out the dynamical behaviour of the disease spreading. This information can subsequently be used to validate mathematical models of the dissemination process from which the underlying mechanisms that are responsible for this spreading could be inferred. Methodology/Principal Findings: The method presented here is based on the analysis of the spread of tuberculosis in a Brazilian endemic city during five consecutive years. The detailed analysis of the spatio-temporal correlation of the yearly geo-referenced data, using different characteristic times of the disease evolution, allowed us to trace the temporal path of the aetiological agent, to locate the sources of infection, and to characterize the dynamics of disease spreading. Consequently, the method also allowed for the identification of socio-economic factors that influence the process. Conclusions/Significance: The information obtained can contribute to more effective budget allocation, drug distribution and recruitment of human skilled resources, as well as guiding the design of vaccination programs. We propose that this novel strategy can also be applied to the evaluation of other diseases as well as other social processes. © 2010 Zorzenon dos Santos et al. |
| format |
Artículo Artículo publishedVersion |
| author |
Zorzenon dos Santos, R.M. Amador, A. de Souza, W.V. de Albuquerque, M.F.P.M. Ponce Dawson, S. Ruffino-Netto, A. Zárate-Bladés, C.R. Silva, C.L. |
| author_facet |
Zorzenon dos Santos, R.M. Amador, A. de Souza, W.V. de Albuquerque, M.F.P.M. Ponce Dawson, S. Ruffino-Netto, A. Zárate-Bladés, C.R. Silva, C.L. |
| author_sort |
Zorzenon dos Santos, R.M. |
| title |
A dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| title_short |
A dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| title_full |
A dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| title_fullStr |
A dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| title_full_unstemmed |
A dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| title_sort |
dynamic analysis of tuberculosis dissemination to improve control and surveillance |
| publishDate |
2010 |
| url |
http://hdl.handle.net/20.500.12110/paper_19326203_v5_n11_p_ZorzenondosSantos |
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