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Geographic profiling as a novel spatial tool for targeting infectious disease control

BACKGROUND: Geographic profiling is a statistical tool originally developed in criminology to prioritise large lists of suspects in cases of serial crime. Here, we use two data sets - one historical and one modern - to show how it can be used to locate the sources of infectious disease. RESULTS: Fir...

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Autores principales: Le Comber, Steven C, Rossmo, D Kim, Hassan, Ali N, Fuller, Douglas O, Beier, John C
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123167/
https://www.ncbi.nlm.nih.gov/pubmed/21592339
http://dx.doi.org/10.1186/1476-072X-10-35
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author Le Comber, Steven C
Rossmo, D Kim
Hassan, Ali N
Fuller, Douglas O
Beier, John C
author_facet Le Comber, Steven C
Rossmo, D Kim
Hassan, Ali N
Fuller, Douglas O
Beier, John C
author_sort Le Comber, Steven C
collection PubMed
description BACKGROUND: Geographic profiling is a statistical tool originally developed in criminology to prioritise large lists of suspects in cases of serial crime. Here, we use two data sets - one historical and one modern - to show how it can be used to locate the sources of infectious disease. RESULTS: First, we re-analyse data from a classic epidemiological study, the 1854 London cholera outbreak. Using 321 disease sites as input, we evaluate the locations of 13 neighbourhood water pumps. The Broad Street pump - the outbreak's source- ranks first, situated in the top 0.2% of the geoprofile. We extend our study with an analysis of reported malaria cases in Cairo, Egypt, using 139 disease case locations to rank 59 mosquitogenic local water sources, seven of which tested positive for the vector Anopheles sergentii. Geographic profiling ranks six of these seven sites in positions 1-6, all in the top 2% of the geoprofile. In both analyses the method outperformed other measures of spatial central tendency. CONCLUSIONS: We suggest that geographic profiling could form a useful component of integrated control strategies relating to a wide variety of infectious diseases, since evidence-based targeting of interventions is more efficient, environmentally friendly and cost-effective than untargeted intervention.
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spelling pubmed-31231672011-06-25 Geographic profiling as a novel spatial tool for targeting infectious disease control Le Comber, Steven C Rossmo, D Kim Hassan, Ali N Fuller, Douglas O Beier, John C Int J Health Geogr Research BACKGROUND: Geographic profiling is a statistical tool originally developed in criminology to prioritise large lists of suspects in cases of serial crime. Here, we use two data sets - one historical and one modern - to show how it can be used to locate the sources of infectious disease. RESULTS: First, we re-analyse data from a classic epidemiological study, the 1854 London cholera outbreak. Using 321 disease sites as input, we evaluate the locations of 13 neighbourhood water pumps. The Broad Street pump - the outbreak's source- ranks first, situated in the top 0.2% of the geoprofile. We extend our study with an analysis of reported malaria cases in Cairo, Egypt, using 139 disease case locations to rank 59 mosquitogenic local water sources, seven of which tested positive for the vector Anopheles sergentii. Geographic profiling ranks six of these seven sites in positions 1-6, all in the top 2% of the geoprofile. In both analyses the method outperformed other measures of spatial central tendency. CONCLUSIONS: We suggest that geographic profiling could form a useful component of integrated control strategies relating to a wide variety of infectious diseases, since evidence-based targeting of interventions is more efficient, environmentally friendly and cost-effective than untargeted intervention. BioMed Central 2011-05-18 /pmc/articles/PMC3123167/ /pubmed/21592339 http://dx.doi.org/10.1186/1476-072X-10-35 Text en Copyright ©2011 Le Comber 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
Le Comber, Steven C
Rossmo, D Kim
Hassan, Ali N
Fuller, Douglas O
Beier, John C
Geographic profiling as a novel spatial tool for targeting infectious disease control
title Geographic profiling as a novel spatial tool for targeting infectious disease control
title_full Geographic profiling as a novel spatial tool for targeting infectious disease control
title_fullStr Geographic profiling as a novel spatial tool for targeting infectious disease control
title_full_unstemmed Geographic profiling as a novel spatial tool for targeting infectious disease control
title_short Geographic profiling as a novel spatial tool for targeting infectious disease control
title_sort geographic profiling as a novel spatial tool for targeting infectious disease control
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3123167/
https://www.ncbi.nlm.nih.gov/pubmed/21592339
http://dx.doi.org/10.1186/1476-072X-10-35
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