Coordinate-based mapping—a new method in health services research

Vauramo, Erkki; Mikkola, Petrus; Sippo-Tujunen, I.; Aro, Seppo; Alanko, Anna; Pelanteri, Simo; Hokkanen, E.

doi:10.3109/14639239209012131

Cited by 5 publications

(4 citation statements)

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“…In Canada and Finland, PYLL-rate and therefore the health of city population is worse than national average whereas in Russia, the health of population in large city is considerably better than the national average. According to comparison of Canada's Alberta [12] [13] province and Finland's demographically similar areas [14] [15], the differences in PYLL-rates between cities were at least as big as the differences between countries [16]. Major causes of prematurely lost years of life varied considerably between the three cities ( Table 3).…”

Section: Resultsmentioning

confidence: 99%

International Comparison of Intercity Differences in Premature Deaths: Pyll-Rates in Canada, Finland and Russia 2010

Krasilnikov¹,

Maximova²,

Korotkova³

et al. 2016

Health

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Background: Potential years of life lost (PYLL) rate describes the number of years lost due to preventable premature death in a population. This is equal to the loss of human capital. Cause-specific PYLL-rates provide information for public health policy. Methods: PYLL-rate is calculated as an absolute difference between the age at death and the assumed length of life. Causes of preventable deaths are defined and classified according to International Classification of Diseases version 10 (ICD-10) as determined by World Health Organization. PYLL rate is age-standardized and expressed per 100,000 persons. Organization for Economic Cooperation and Development (OECD) standard of 70 years was applied as the expected length of life in Saint Petersburg (Russia), Edmonton (Canada), and Helsinki (Finland). Results: There were very big differences in PYLL rates of all causes of death between the countries compared. Total PYLL-rates were the lowest in Helsinki, slightly higher in Edmonton, and the highest in Saint Petersburg. The intercity differences in the total of PYLL-rates were considerably smaller among women than men. In each city, the three most prevalent causes of premature death were injuries, cancer and cardiovascular diseases. Magnitudes of these causes varied between the three cities. Conclusions: PYLL rate provides comparable and sensitive information about the health related well-being of a population concerning all preventable causes of death as well as cause-specific premature deaths. The study demonstrates that the reduction of cause-specific PYLL-rates is possible. It provides supplementary information for planning of health policies and evaluation of effectiveness of past interventions. Results demonstrate that these actions need to differ between countries and localities. I. Krasilnikov et al.

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Section: Resultsmentioning

confidence: 99%

International Comparison of Intercity Differences in Premature Deaths: Pyll-Rates in Canada, Finland and Russia 2010

Krasilnikov¹,

Maximova²,

Korotkova³

et al. 2016

Health

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“…The breast cancer statistics from the Finnish Cancer Registry were merged with population registry and address information and plotted on the map of Finland as described by Vauramo et al [1992]. Analyses of geographical differences in breast cancer incidence and mortality suggested increased levels of both in a sub-population west of the city of Tampere (Fig.…”

Section: Materials and Methods Family Ascertainment And Geographical mentioning

confidence: 99%

Involvement ofBRCA1 andBRCA2 in breast cancer in a western Finnish sub-population

et al. 2001

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To date, two major familial breast cancer predisposition genes, BRCA1 and BRCA2, have been identified with hundreds of germ‐line mutations, accounting for 5–10% of all breast cancer and 40–60% of all inherited breast cancer. Unexpectedly elevated incidence of breast cancer, especially in the older age classes, was observed in a Western Finnish region representing a relatively homogeneous population. This study was designed to test the hypothesis that there are inherited BRCA1 or BRCA2 mutations, which confer variable and/or age‐dependent penetrance on carriers. Expecting a founder effect, we searched for geographical clustering of breast cancer cases and searched for associations between the affected phenotype and shared genomic segments in the BRCA1 and BRCA2 genomic regions. Our haplotype association study did not reveal any founder effects for either BRCA1 or BRCA2. However, there were two mutations prevalent in this geographical area with minor founder effects, BRCA2 T8555G and 999del5. This is one of the few geographically ascertained, population‐based studies that indicate an overall frequency of BRCA1 and BRCA2 mutations at about 2–3% in all breast cancer cases. The geographical clustering of breast cancer cases was not explained by BRCA1 or BRCA2 genes. Genet. Epidemiol. 20:239–246, 2001. © 2001 Wiley‐Liss, Inc.

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“…GIS applications related to health have been introduced and used in, for example, the surveillance and monitoring of vector-borne and waterborne diseases (7)(8)(9)(10)(11)(12)(13)(14), in environmental health (15)(16)(17)(18), in modelling exposure to electromagnetic fields (19,20), quantifying environmental hazards and their influence on public health (21)(22)(23)(24), predicting traffic accidents and modelling traffic accident risk estimates (25)(26)(27) and for policy and planning purposes (28)(29)(30)(31)(32). In Finland, for example, GIS systems have been used in health services research (33) for studying small-area variation in mortality in an urban area (34) and in mapping studies of non-communicable diseases (35)(36)(37). Remote sensing and GIS have also increased their importance and utility in health-related studies (38)(39)(40)(41)(42)(43)(44)(45)(46).…”

Section: Introductionmentioning

confidence: 99%

Not all maps are equal: GIS and spatial analysis in epidemiology

Rytkönen¹

2004

International Journal of Circumpolar Health

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Recently, Geographical Information System (GIS) has emerged as an innovative and important component of many projects in public health and epidemiology. One of the most useful functions of GIS in epidemiology continues to be its utility in basic mapping. GIS may also involve more sophisticated spatial analysis of disease occurrence and contributing environmental factors. Depending on the quantity and quality of data and the methodology used in analysis, a given map may be either useful or misleading. Although visual analyses (mapped evidence) strengthened by exploratory analyses are mostly sufficient for epidemiologists, the formal testing of certain hypotheses or the estimation of relationships between measures of disease incidence and, for example, environmental covariates require quantitative modelling of disease distribution. It is a promising prospect that spatial statistics and GIS technology have slowly started to merge. However, whether GIS will be useful in the model-based approach and the prediction in, for example, epidemiology remains to be seen. The desired future development of GIS requires a switch of emphasis from data and information to knowledge.

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Coordinate-based mapping—a new method in health services research

Cited by 5 publications

References 0 publications

International Comparison of Intercity Differences in Premature Deaths: Pyll-Rates in Canada, Finland and Russia 2010

International Comparison of Intercity Differences in Premature Deaths: Pyll-Rates in Canada, Finland and Russia 2010

Involvement ofBRCA1 andBRCA2 in breast cancer in a western Finnish sub-population

Not all maps are equal: GIS and spatial analysis in epidemiology

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