Cargando…
Spatial clustering in the spatio-temporal dynamics of endemic cholera
BACKGROUND: The spatio-temporal patterns of infectious diseases that are environmentally driven reflect the combined effects of transmission dynamics and environmental heterogeneity. They contain important information on different routes of transmission, including the role of environmental reservoir...
Autores principales: | , , , |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2010
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846945/ https://www.ncbi.nlm.nih.gov/pubmed/20205935 http://dx.doi.org/10.1186/1471-2334-10-51 |
_version_ | 1782179525794201600 |
---|---|
author | Ruiz-Moreno, Diego Pascual, Mercedes Emch, Michael Yunus, Mohammad |
author_facet | Ruiz-Moreno, Diego Pascual, Mercedes Emch, Michael Yunus, Mohammad |
author_sort | Ruiz-Moreno, Diego |
collection | PubMed |
description | BACKGROUND: The spatio-temporal patterns of infectious diseases that are environmentally driven reflect the combined effects of transmission dynamics and environmental heterogeneity. They contain important information on different routes of transmission, including the role of environmental reservoirs. Consideration of the spatial component in infectious disease dynamics has led to insights on the propagation of fronts at the level of counties in rabies in the US, and the metapopulation behavior at the level of cities in childhood diseases such as measles in the UK, both at relatively coarse scales. As epidemiological data on individual infections become available, spatio-temporal patterns can be examined at higher resolutions. METHODS: The extensive spatio-temporal data set for cholera in Matlab, Bangladesh, maps the individual location of cases from 1983 to 2003. This unique record allows us to examine the spatial structure of cholera outbreaks, to address the role of primary transmission, occurring from an aquatic reservoir to the human host, and that of secondary transmission, involving a feedback between current and past levels of infection. We use Ripley's K and L indices and bootstrapping methods to evaluate the occurrence of spatial clustering in the cases during outbreaks using different temporal windows. The spatial location of cases was also confronted against the spatial location of water sources. RESULTS: Spatial clustering of cholera cases was detected at different temporal and spatial scales. Cases relative to water sources also exhibit spatial clustering. CONCLUSIONS: The clustering of cases supports an important role of secondary transmission in the dynamics of cholera epidemics in Matlab, Bangladesh. The spatial clustering of cases relative to water sources, and its timing, suggests an effective role of water reservoirs during the onset of cholera outbreaks. Once primary transmission has initiated an outbreak, secondary transmission takes over and plays a fundamental role in shaping the epidemics in this endemic area. |
format | Text |
id | pubmed-2846945 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28469452010-03-30 Spatial clustering in the spatio-temporal dynamics of endemic cholera Ruiz-Moreno, Diego Pascual, Mercedes Emch, Michael Yunus, Mohammad BMC Infect Dis Research Article BACKGROUND: The spatio-temporal patterns of infectious diseases that are environmentally driven reflect the combined effects of transmission dynamics and environmental heterogeneity. They contain important information on different routes of transmission, including the role of environmental reservoirs. Consideration of the spatial component in infectious disease dynamics has led to insights on the propagation of fronts at the level of counties in rabies in the US, and the metapopulation behavior at the level of cities in childhood diseases such as measles in the UK, both at relatively coarse scales. As epidemiological data on individual infections become available, spatio-temporal patterns can be examined at higher resolutions. METHODS: The extensive spatio-temporal data set for cholera in Matlab, Bangladesh, maps the individual location of cases from 1983 to 2003. This unique record allows us to examine the spatial structure of cholera outbreaks, to address the role of primary transmission, occurring from an aquatic reservoir to the human host, and that of secondary transmission, involving a feedback between current and past levels of infection. We use Ripley's K and L indices and bootstrapping methods to evaluate the occurrence of spatial clustering in the cases during outbreaks using different temporal windows. The spatial location of cases was also confronted against the spatial location of water sources. RESULTS: Spatial clustering of cholera cases was detected at different temporal and spatial scales. Cases relative to water sources also exhibit spatial clustering. CONCLUSIONS: The clustering of cases supports an important role of secondary transmission in the dynamics of cholera epidemics in Matlab, Bangladesh. The spatial clustering of cases relative to water sources, and its timing, suggests an effective role of water reservoirs during the onset of cholera outbreaks. Once primary transmission has initiated an outbreak, secondary transmission takes over and plays a fundamental role in shaping the epidemics in this endemic area. BioMed Central 2010-03-06 /pmc/articles/PMC2846945/ /pubmed/20205935 http://dx.doi.org/10.1186/1471-2334-10-51 Text en Copyright ©2010 Ruiz-Moreno et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Ruiz-Moreno, Diego Pascual, Mercedes Emch, Michael Yunus, Mohammad Spatial clustering in the spatio-temporal dynamics of endemic cholera |
title | Spatial clustering in the spatio-temporal dynamics of endemic cholera |
title_full | Spatial clustering in the spatio-temporal dynamics of endemic cholera |
title_fullStr | Spatial clustering in the spatio-temporal dynamics of endemic cholera |
title_full_unstemmed | Spatial clustering in the spatio-temporal dynamics of endemic cholera |
title_short | Spatial clustering in the spatio-temporal dynamics of endemic cholera |
title_sort | spatial clustering in the spatio-temporal dynamics of endemic cholera |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2846945/ https://www.ncbi.nlm.nih.gov/pubmed/20205935 http://dx.doi.org/10.1186/1471-2334-10-51 |
work_keys_str_mv | AT ruizmorenodiego spatialclusteringinthespatiotemporaldynamicsofendemiccholera AT pascualmercedes spatialclusteringinthespatiotemporaldynamicsofendemiccholera AT emchmichael spatialclusteringinthespatiotemporaldynamicsofendemiccholera AT yunusmohammad spatialclusteringinthespatiotemporaldynamicsofendemiccholera |