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International Journal of Health Geographics

, 2:5

First Online: 11 August 2003Received: 03 May 2003Accepted: 11 August 2003DOI: 10.1186-1476-072X-2-5

Cite this article as: Odoi, A., Martin, S.W., Michel, P. et al. Int J Health Geogr 2003 2: 5. doi:10.1186-1476-072X-2-5

Abstract

BackgroundGiardia is the most frequently identified intestinal parasite in North America. Although information on geographical distribution of giardiasis is critical in identifying communities at high risk, little has been done in this area. Therefore, the objective of this study was to investigate the geographical and temporal distribution of human giardiasis in Ontario in order to identify possible high risk areas and seasons. Two spatial scales of analyses and two disease measures were used with a view to identifying the best of each in assessing geographical patterns of giardiasis in Ontario. Global Moran-s I and Moran Local Indicators of Spatial Associations were used to test for evidence of global and local spatial clustering, respectively.

ResultsThere were seasonal patterns with summer peaks and a significant P < 0.001 decreasing temporal trend. Significant P < 0.05 global spatial clustering of high rates was observed at the Census Sub-division spatial scale but not at the Census Division scale. The Census Sub-division scale was a better scale of analyses but required spatial empirical Bayesian smoothing of the rates. A number of areas with significant local clustering of giardiasis rates were identified.

ConclusionsThe study identified spatial and temporal patterns in giardiasis distribution. This information is important in guiding decisions on disease control strategies. The study also showed that there is 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 visualization of spatial patterns.

KeywordsGiardia Moran-s I Spatial Analyses Ontario. Electronic supplementary materialThe online version of this article doi:10.1186-1476-072X-2-5 contains supplementary material, which is available to authorized users.

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Autor: Agricola Odoi - S Wayne Martin - Pascal Michel - John Holt - Dean Middleton - Jeff Wilson

Fuente: https://link.springer.com/







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