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Temporal and spatial distribution of human cryptosporidiosis in the west of Ireland 2004-2007

ARAN - Access to Research at NUI Galway

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dc.contributor.author Callaghan, Mary
dc.contributor.author Cormican, Martin
dc.contributor.author Prendergast, Martina
dc.contributor.author Hanahoe, Belinda
dc.contributor.author O'Donovan, Diarmuid
dc.date.accessioned 2011-10-25T16:28:54Z
dc.date.available 2011-10-25T16:28:54Z
dc.date.issued 2009
dc.identifier.citation Callaghan M, Cormican M, Prendergast M, Pelly H, Cloughley R, Hanahoe B, O¿Donovan D. Temporal and spatial distribution of human cryptosporidiosis in the west of Ireland 2004-2007. International Journal of Health Geographics 2009;8:64. en_US
dc.identifier.uri http://hdl.handle.net/10379/2241
dc.description.abstract Background Cryptosporidiosis is increasingly recognised as a cause of gastrointestinal infection in Ireland and has been implicated in several outbreaks. This study aimed to investigate the spatial and temporal distribution of human cryptosporidiosis in the west of Ireland in order to identify high risk seasons and areas and to compare Classically Calculated (CC) and Empirical Bayesian (EB) incidence rates. Two spatial scales of analysis were used with a view to identifying the best one in assessing geographical patterns of infection. Global Moran's I and Local Moran's I tests of autocorrelation were used to test for evidence of global and local spatial clustering. Results There were statistically significant seasonal patterns of cryptosporidiosis with peaks in spring and an increasing temporal trend. Significant (p < 0.05) global spatial clustering was observed in CC rates at the Electoral Division (ED) level but not in EB rates at the same level. Despite variations in disease, ED level was found to provide the most accurate account of distribution of cryptosporidiosis in the West of Ireland but required spatial EB smoothing of cases. There were a number of areas identified with significant local clustering of cryptosporidiosis rates. Conclusion This study identified spatial and temporal patterns in cryptosporidiosis distribution. The study also showed benefit in performing spatial analyses at more than one spatial scale to assess geographical patterns in disease distribution and that smoothing of disease rates for mapping in small areas enhances visualisation of spatial patterns. These findings are relevant in guiding policy decisions on disease control strategies. en_US
dc.format application/pdf en_US
dc.language.iso en en_US
dc.subject Cryptosporidiosis en_US
dc.subject Health Promotion en_US
dc.title Temporal and spatial distribution of human cryptosporidiosis in the west of Ireland 2004-2007 en_US
dc.type Article en_US
dc.description.peer-reviewed peer-reviewed en_US
dc.contributor.funder Environmental Protection Agency en_US

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