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Spatial infectious disease epidemiology: on the cusp
Infectious diseases continue to pose a significant public health burden despite the great progress achieved in their prevention and control over the last few decades. Our ability to disentangle the factors and mechanisms driving their propagation in space and time has dramatically advanced in recent...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193292/ https://www.ncbi.nlm.nih.gov/pubmed/30333024 http://dx.doi.org/10.1186/s12916-018-1184-6 |
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author | Chowell, G Rothenberg, R |
author_facet | Chowell, G Rothenberg, R |
author_sort | Chowell, G |
collection | PubMed |
description | Infectious diseases continue to pose a significant public health burden despite the great progress achieved in their prevention and control over the last few decades. Our ability to disentangle the factors and mechanisms driving their propagation in space and time has dramatically advanced in recent years. The current era is rich in mathematical and computational tools and detailed geospatial information, including sociodemographic, geographic, and environmental data, which are essential to elucidate key drivers of infectious disease transmission from epidemiological and genetic data. Indeed, this paradigm shift was driven by dramatic advances in complex systems approaches along with substantial improvements in data availability and computational power. The burgeoning output of infectious disease spatial modeling suggests that we are close to a fully integrated approach for early epidemic detection and intervention. This special collection in BMC Medicine aims to bring together a broad range of quantitative investigations that improve our understanding of the spatiotemporal transmission dynamics of infectious diseases in order to mitigate their impact on the human population. |
format | Online Article Text |
id | pubmed-6193292 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-61932922018-10-22 Spatial infectious disease epidemiology: on the cusp Chowell, G Rothenberg, R BMC Med Editorial Infectious diseases continue to pose a significant public health burden despite the great progress achieved in their prevention and control over the last few decades. Our ability to disentangle the factors and mechanisms driving their propagation in space and time has dramatically advanced in recent years. The current era is rich in mathematical and computational tools and detailed geospatial information, including sociodemographic, geographic, and environmental data, which are essential to elucidate key drivers of infectious disease transmission from epidemiological and genetic data. Indeed, this paradigm shift was driven by dramatic advances in complex systems approaches along with substantial improvements in data availability and computational power. The burgeoning output of infectious disease spatial modeling suggests that we are close to a fully integrated approach for early epidemic detection and intervention. This special collection in BMC Medicine aims to bring together a broad range of quantitative investigations that improve our understanding of the spatiotemporal transmission dynamics of infectious diseases in order to mitigate their impact on the human population. BioMed Central 2018-10-18 /pmc/articles/PMC6193292/ /pubmed/30333024 http://dx.doi.org/10.1186/s12916-018-1184-6 Text en © The Author(s). 2018 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Editorial Chowell, G Rothenberg, R Spatial infectious disease epidemiology: on the cusp |
title | Spatial infectious disease epidemiology: on the cusp |
title_full | Spatial infectious disease epidemiology: on the cusp |
title_fullStr | Spatial infectious disease epidemiology: on the cusp |
title_full_unstemmed | Spatial infectious disease epidemiology: on the cusp |
title_short | Spatial infectious disease epidemiology: on the cusp |
title_sort | spatial infectious disease epidemiology: on the cusp |
topic | Editorial |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6193292/ https://www.ncbi.nlm.nih.gov/pubmed/30333024 http://dx.doi.org/10.1186/s12916-018-1184-6 |
work_keys_str_mv | AT chowellg spatialinfectiousdiseaseepidemiologyonthecusp AT rothenbergr spatialinfectiousdiseaseepidemiologyonthecusp |