2021
DOI: 10.3390/ijerph18137091
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Neighbourhood Social Determinants of Health and Geographical Inequalities in Premature Mortality in Taiwan: A Spatiotemporal Approach

Abstract: Geographical inequalities in premature mortality and the role of neighbourhood social determinants of health (SDOH) have been less explored. This study aims to assess the geographical inequalities in premature mortality in Taiwan and how neighbourhood SDOH contribute to them and to examine the place-specific associations between neighbourhood SDOH and premature mortality. We used township-level nationwide data for the years 2015 to 2019, including age-standardized premature mortality rates and three upstream S… Show more

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Cited by 9 publications
(6 citation statements)
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“…Using the 2021 County Health Rankings Dataset, applying space-time statistics, we initially evaluated for geographic inequalities in all the variables and the relative COVID-19 case counts by county. We displayed the spatial scan for educational attainment and poor physical health and demonstrated how neighborhood social determinants of health can lead to geographic variations in educational attainment [ 37 ]. According to the histogram in Figure 4 , the mean percentage of individuals between the ages of 25–44 with at least some college education is 58.1% (46.2–70.1%).…”
Section: Resultsmentioning
confidence: 99%
“…Using the 2021 County Health Rankings Dataset, applying space-time statistics, we initially evaluated for geographic inequalities in all the variables and the relative COVID-19 case counts by county. We displayed the spatial scan for educational attainment and poor physical health and demonstrated how neighborhood social determinants of health can lead to geographic variations in educational attainment [ 37 ]. According to the histogram in Figure 4 , the mean percentage of individuals between the ages of 25–44 with at least some college education is 58.1% (46.2–70.1%).…”
Section: Resultsmentioning
confidence: 99%
“…Despite the variable dynamics in the timing and magnitude of RSV epidemics across communities, little is known about the differential burdens of RSV-related hospitalizations by socioeconomic status [9]. Experiences of RSV may vary by region due to shared socioeconomic characteristics among community members [10]. Additionally, cohort studies of RSV infection have revealed that the social structuring and size of households play an important role in RSV transmission dynamics, in terms of characterizing contact patterns within households [11][12][13].…”
Section: Introductionmentioning
confidence: 99%
“…Mortality profiles reflect changes associated with the epidemiologic transition and differences in the access to healthcare services across the socioeconomic gradient in a territory, revealing inequalities between regions and countries [1]. Since 1950, an increase in life expectancy at birth of around 23 years on average has been observed globally for both males and females [2], and there are significant variations within and between countries that reveal territorial and socioeconomic inequalities [3][4][5]. The access to healthcare services is also closely related to mortality profiles, as many deaths can be attributed to conditions that can be mitigated in the presence of effective healthcare [6].…”
Section: Introductionmentioning
confidence: 99%