2013
DOI: 10.1016/j.amepre.2013.03.013
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Geospatial Analysis for Targeting Out-of-Hospital Cardiac Arrest Intervention

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Cited by 18 publications
(18 citation statements)
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“…Our data suggests some of this variation may be explained by the regions examined and in the periods of time studied. We found significant sub-State variation in OHCA incidence rates, which is consistent with reports across census tracts in the United States [26][27][28]. To our knowledge, ours is the first study to include rural regions with low and very low density populations (<200/km2), some of which had the highest incidence rates across the state.…”
Section: Discussionsupporting
confidence: 78%
“…Our data suggests some of this variation may be explained by the regions examined and in the periods of time studied. We found significant sub-State variation in OHCA incidence rates, which is consistent with reports across census tracts in the United States [26][27][28]. To our knowledge, ours is the first study to include rural regions with low and very low density populations (<200/km2), some of which had the highest incidence rates across the state.…”
Section: Discussionsupporting
confidence: 78%
“…Previous work conducted mostly in North American cities has only examined regions of moderate-to-very high population densities, and has excluded low-density regions 11. Only two previous studies have found a similar association with population density 12…”
Section: Discussionmentioning
confidence: 99%
“…The lower incidence in the area serviced by SJANT is particularly surprising given that the Northern Territory has the largest proportion of Indigenous people [15] and it is known that the incidence of cardiovascular disease in Indigenous people is substantially higher than that of non-Indigenous people [24]. This regional variation may also be explained by an accompanying variation in underlying risk of OHCA; studies have demonstrated that a large proportion of regional variation in incidence can be explained through socioeconomic factors and health characteristics of the underlying population [25,26].…”
Section: Discussionmentioning
confidence: 99%