Spatial analysis for risk assessment of dengue in Spain.

INTRODUCTION: The establishment of Aedes albopictus in new areas in Europe has changed the risk of local dengue transmission represented by imported human cases. The risk of transmission is determined by the distribution of travelers arriving from dengue-endemic areas and the distribution of Ae. albopictus as potential vectors of dengue in Spain. METHODS: Environmental, entomological, epidemiological, demographic, tourism and travel data were analyzed to produce a series of maps to represent: the distribution of Ae. albopictus across municipalities; the risk of expansion of Ae. albopictus based on a species distribution model; the calculated index of travelers from dengue-endemic areas (IDVZE) per province; the percentage contribution of each municipality to the total number of cases in Spain. The maps were then added using map algebra, to profile the spatial risk of autochthonous dengue in Spain at a municipal level from 2016 to 2018. RESULTS: Ae. albopictus was detected in 983 municipalities. The calculated IDVZE varied from 0.23 to 10.38, with the highest IDVZE observed in Madrid. The overall risk of autochthonous cases oscillated between 0.234 and 115, with the very high risk and high risk areas detected in the Mediterranean region, mainly in the Levantine coast and some parts of the Balearic Islands. Most of the interior of the peninsula was characterized as low risk. CONCLUSION: Prevention and control measures to mitigate the risk of autochthonous dengue should be prioritized for municipalities in the high risk areas integrating early detection of imported dengue cases and vector control.

Social inequalities in tobacco-attributable mortality in Spain. The intersection between age, sex and educational level.

INTRODUCTION: First study of social inequalities in tobacco-attributable mortality (TAM) in Spain considering the joint influence of sex, age, and education (intersectional perspective). METHODS: Data on all deaths due to cancer, cardiometabolic and respiratory diseases among people aged ≥35 years in 2016 were obtained from the Spanish Statistical Office. TAM was calculated based on sex-, age- and education-specific smoking prevalence, and on sex-, age- and disease-specific relative risks of death for former and current smokers vs lifetime non-smokers. As inequality measures, the relative index of inequality (RII) and the slope index of inequality (SII) were calculated using Poisson regression. The RII is interpreted as the relative risk of mortality between the lowest and the highest educational level, and the SII as the absolute difference in mortality. RESULTS: The crude TAM rate was 55 and 334 per 100,000 in women and men, respectively. Half of these deaths occurred among people with the lowest educational level (27% of the population). The RII for total mortality was 0.39 (95%CI: 0.35-0.42) in women and 1.61 (95%CI: 1.55-1.67) in men. The SII was -41 and 111 deaths per 100,000, respectively. Less-educated women aged <55 years and men (all ages) showed an increased mortality risk; nonetheless, less educated women aged ≥55 had a reduced risk. CONCLUSIONS: TAM is inversely associated with educational level in men and younger women, and directly associated with education in older women. This could be explained by different smoking patterns. Appropriate tobacco control policies should aim to reduce social inequalities in TAM.

Social inequalities in cardiovascular mortality in Spain from an intersectional perspective.

INTRODUCTION AND OBJECTIVES: There is an interaction between age, sex, and educational level, among other factors, that influences mortality. To date, no studies in Spain have comprehensively analyzed social inequalities in cardiovascular mortality by considering the joint influence of age, sex, and education (intersectional perspective). METHODS: Study of all deaths due to all-cause cardiovascular disease, ischemic heart disease, heart failure, and cerebrovascular disease among people aged ≥ 30 years in Spain in 2015. Data were obtained from the Spanish Office of Statistics. The relative index of inequality (RII) and the slope index of inequality (SII) were calculated by using Poisson regression models with age-adjusted mortality. The RII is interpreted as the relative risk of mortality between the lowest and the highest educational level, and the SII as the absolute difference in mortality. RESULTS: The RII for all-cause cardiovascular mortality was 1.88 (95%CI, 1.80-1.96) in women and 1.44 (95%CI, 1.39-1.49) in men. The SII was 178.46 and 149.43 deaths per 100 000, respectively. The greatest inequalities were observed in ischemic heart disease and heart failure in younger women, with a RII higher than 4. There were no differences between sexes in inequalities due to cerebrovascular disease. CONCLUSIONS: Cardiovascular mortality is inversely associated with educational level. This inequality mostly affects premature mortality due to cardiac causes, especially among women. Monitoring this problem could guide the future Cardiovascular Health Strategy in the National Health System, to reduce inequality in the first cause of death.