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Spatio-temporal model of the most common childhood cancers occurrences (CROSBI ID 649224)

Prilog sa skupa u zborniku | sažetak izlaganja sa skupa | međunarodna recenzija

Rimac, Milan ; Roganović, Jelena ; Sonicki, Zdenko Spatio-temporal model of the most common childhood cancers occurrences // Book of Abstracts BIOSTAT 2017 – 23rd International Scientifc Symposium on Biometrics, Šibenik, 7 - 10 June 2017. / Jazbec, Anamarija ; Pecina, Marija ; Sonicki, Zdenko et al. (ur.). Zagreb: Hrvatsko biometrijsko društvo, 2017. str. 16-16

Podaci o odgovornosti

Rimac, Milan ; Roganović, Jelena ; Sonicki, Zdenko

engleski

Spatio-temporal model of the most common childhood cancers occurrences

Childhood cancer is age-defined subgroup of malignant diseases distinguished by low incidence, specific tumorigenesis and unknown etiology. Epidemiological studies of spatial and temporal distributions as well as spatio-temporal analysis of childhood cancer occurrences aimed at portraying population genetic landscape and depicting affecting environmental factors could be important in clarifying childhood cancer etiology. Previous studies have documented distinctiveness of researched populations and suggested spatio-temporal clustering of diseases as well as occurrence periodicity of particular malignancies. We present ongoing multicenter study aimed to investigate spatial, temporal, and spatio-temporal distribution of the most frequent childhood cancers occurrences in the Republic of Croatia. Clinical data for children aged 0-14 years diagnosed with first malignancy in a period 2001-2015 at each of the five pediatric oncology departments in Croatia would be collected. Respective addresses at diagnosis would be geocoded with the tool provided by GDi GISDATA (Zagreb, Croatia). Spatial data from Central register of spatial units (State geodetic administration), and 2001-2011 population censuses data (Croatian bureau of statistics) would be used. Global and regional age-specific incidence rates as well as age-standardized incidences would be assessed, and their spatial and temporal distribution analyzed. Geographic information system tool ArcGIS 10.5 (ESRI, Redlands, CA, USA) would be used for data presentation and further analysis. Results of this study would be a contribution to the clarification of regional appearances of childhood cancer and possible implications of environmental and population risk factors.

Childhood cancer, Spatial epidemiology, Croatia

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Podaci o prilogu

16-16.

2017.

objavljeno

Podaci o matičnoj publikaciji

Book of Abstracts BIOSTAT 2017 – 23rd International Scientifc Symposium on Biometrics, Šibenik, 7 - 10 June 2017.

Jazbec, Anamarija ; Pecina, Marija ; Sonicki, Zdenko ; Šimić, Diana ; Vedriš, Mislav

Zagreb: Hrvatsko biometrijsko društvo

1849-434X

Podaci o skupu

BIOSTAT 2017 – 23rd International Scientifc Symposium on Biometrics

predavanje

07.06.2017-10.06.2017

Šibenik, Hrvatska

Povezanost rada

Temeljne medicinske znanosti, Kliničke medicinske znanosti