“…Covariates modelled population density, the age structure of the population, obesity, population health, per capita gross domestic product (GDP), ethnic diversity, national temperature and the delay in the government imposing virus control measures. …”
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“…Lung function initially decreased with GDP per capita or urbanization ratio and reached a minimum. …”
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“…Despite the prevalence of breastfeeding in general increasing with GDP per capita (<US$5000: 19%, US$5000–30,000: 22%; US$30,000 to 50,000: 25%, >US$50,000 42%), the prevalence of non-exclusive breastfeeding follows more of a U-curve with the lowest and highest GDP per capita having the highest percentages of breastfeeding (<US$5000: 47% and >US$50,000: 50%, versus <28% for all other categories). …”
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“…In addition, the government should consider per capita GDP, population density and other factors when coordinating the allocation of health care input. …”
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“…The premature mortality due to IHD and CEV accounted for 68.5% of the total mortality, and the per capita mortality (per 10,000 persons) for all ages due to IHD was 3.86, the highest among diseases. …”
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“…Descriptive statistics, Spearman’s rank correlation, and concentration index analysis on the ratio of SSS insurees to all migrants ranked by GPP per capita and business types from 2015–2018 were performed. …”
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“…This study used a combination of comparative analysis, regional difference analysis, correlation analysis, principal component analysis, and stepwise regression analysis to analyze the spatial differences in carbon emissions and their influencing factors in 286 prefecture-level-and-above cities in China, and draws the following main conclusions: (1) From 2005 to 2015, regional differences in six sectors, including household carbon emissions, widened in the 286 prefecture-level-and-above cities in China, while regional differences in 14 sectors, including rural household carbon emissions, narrowed. (2) There were significant intra-group differences in urban household carbon emissions, and the contributions to intra-group differences in carbon emissions differed across the six sectors in the northeast, east, central, and west regions. (3) Although the total and average carbon emissions of each sector increased from 2005 to 2015, China’s carbon emission intensity was decreasing, and carbon productivity is increasing. (4) Carbon emissions per capita (CCE) were positively correlated with GRP per capita, industrial SO(2) emissions per capita, and the proportion of employees in the secondary sector, and negatively correlated with population density and the proportion of employees in the tertiary sector. (5) Resident savings and consumption factors, pollution emission factors, and economic structure factors had a facilitating effect on CCE, while population density factors and economic growth factors have a weakening effect on CCE.…”
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“…Despite the importance of density-dependence in determining population growth, the empirical relationship between density and per capita growth remains understudied in most systems and is often assumed to be linear. …”
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“…Results: The PTs and OTs per capita varied greatly across the 35 HICs, differing by as much as 40-fold. …”
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“…Income inequality metrics consisted of the gross domestic product per capita, Gini index, the P80/P20 ratio, human development index ranking, and poverty rate. …”
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“…The results indicated that: (1) The per capita GPI of China showed an increasing trend with an annual growth rate of 12.43%. …”
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“…This study quantifies the transmission potential of SARS-CoV-2 across public health districts in Georgia, USA, and tests if per capita cumulative case count varies across counties. …”
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“…We suggest boosting gross domestic product per capita and absolute per capita income to increase subjective well-being in less developed western China. …”
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“…We used a Bayesian demographic modeling approach that allowed for interaction coefficients to be positive or negative, and explored key sources of variation in species responses to native and exotic neighbors at per capita (individual) and neighborhood levels. We observed positive per capita effects from exotic neighbors on exotic focal species as well as on several native focal species. …”
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“…The key indicators selected are the percent of arable land equipped for irrigation, the cereal imports dependency ratio, the value of food imports over total merchandise exports, per capita food production variability, and, per capita food supply variability. …”
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“…Results were elaborated to estimate the distribution of seFW among the five provinces and the amount per capita. Results in terms of total quantities per inhabitants (seFW(index) per capita) depict an important variability between districts but almost constant in years (26–38 kg/inhabitants in 2018 and 26–36 kg/inhabitants in 2019). …”
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“…For the common newborn diseases of pneumonia, sepsis, respiratory distress syndrome, and very low birth weight (<1,500 grams) infants, their lengths of hospital stay, daily costs, hospital costs, ratios of hospital cost to per-capita disposable income, and ratios of hospital cost to per-capita health expenditure, were all significantly different across regions (North China, Northeast China, East China, South Central China, Southwest China, and Northwest China). …”
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“…The largest absolute increase in spending was in high-income countries, which increased to purchasing power-adjusted $5221 per capita based on an annual growth rate of 3·0%. The largest health spending growth rates were in upper-middle-income (5·9) and lower-middle-income groups (5·0), which both increased spending at more than 5% per year, and spent $914 and $267 per capita in 2014, respectively. …”
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“…Additionally, persons with chronic conditions engaged nursing staff more than those without chronic conditions (1.40 and 0.19 per capita conversations, respectively, P<.001). When compared to the same period in the prior year, per capita health care expenditures for persons with chronic conditions dropped by 15% (P=.06) more than did those for matched controls. …”
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“…In the fifth year of follow-up, mean per capita costs were €2646 in cases and €1478 in controls. …”
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