Methods of Mapping and Identifying Small Clusters of Rare Diseases with Applications to Geographical Epidemiology

Alexander, Freda E.; Ricketts, T. J.; Williams, Joseph; Cartwright, R. A.

doi:10.1111/j.1538-4632.1991.tb00231.x

Cited by 14 publications

(2 citation statements)

References 23 publications

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“…In agreement with our study, other studies have also reported spatial clustering of HL at diagnosis [42,20,19,21] whereas, evidence from the mentioned, large UK study was weak [15]. A study in New Zealand found no evidence of global clustering of HL at birth [14].…”

Section: Discussion In the Context Of Other Studiessupporting

confidence: 91%

Spatial clustering of childhood cancers in Switzerland: a nationwide study

Konstantinoudis

Kreis

Ammann

et al. 2018

Cancer Causes Control

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Section: Discussion In the Context Of Other Studiessupporting

confidence: 91%

Spatial clustering of childhood cancers in Switzerland: a nationwide study

Konstantinoudis

Kreis

Ammann

et al. 2018

Cancer Causes Control

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“…To our knowledge only two studies have corrected for multiple testing . Lastly, though many studies have investigated acute lymphoid leukaemia (ALL) only few studies have examined the spatial distribution of acute myeloid leukaemia (AML) …”

mentioning

confidence: 99%

Spatial clustering of childhood leukaemia in Switzerland: A nationwide study

Konstantinoudis

Kreis

Ammann

et al. 2017

Intl Journal of Cancer

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The aetiology of childhood leukaemia remains largely unknown. Several hypotheses involve environmental exposures that could implicate spatial clustering of cases. The evidence from previous clustering studies is inconclusive. Most of them used areal data and thus had limited spatial resolution. We investigated whether childhood leukaemia tends to cluster in space using exact geocodes of place of residence both at the time of birth or diagnosis. We included 1,871 leukaemia cases diagnosed between 1985 and 2015 at age 0-15 years from the Swiss Childhood Cancer Registry. For each case, we randomly sampled 10 age and sex matched controls from national censuses closest in time. We used the difference of k-functions, Cuzick-Edwards' test and Tango's index for point data to assess spatial clustering and Kulldorff's circular scan to detect clusters. We separately investigated acute lymphoid leukaemia (ALL), acute myeloid leukaemia (AML), different age groups at diagnosis (0-4, 5-15 years) and adjusted for multiple testing. After adjusting for multiple testing, we found no evidence of spatial clustering of childhood leukaemia neither around time of birth (p = 0.52) nor diagnosis (p = 0.51). Individual tests indicated spatial clustering for leukaemia diagnosed at age 5-15 years, p k-functions = 0.05 and p Cuzick-Edwards' = 0.04 and a cluster of ALL cases diagnosed at age 0-4 years in a small rural area (p = 0.05). This study provides little evidence of spatial clustering of childhood leukaemia in Switzerland and highlights the importance of accounting for multiple testing in clustering studies.

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Medical or health geography? Populations, peoples and places

Rosenberg

1998

Int. J. Popul. Geogr.

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Methods of Mapping and Identifying Small Clusters of Rare Diseases with Applications to Geographical Epidemiology

Abstract: Geographical variation operates at a variety of scales. Methods

Cited by 14 publications

References 23 publications

Spatial clustering of childhood cancers in Switzerland: a nationwide study

Spatial clustering of childhood cancers in Switzerland: a nationwide study

Spatial clustering of childhood leukaemia in Switzerland: A nationwide study

Medical or health geography? Populations, peoples and places

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