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1.
Eur J Public Health ; 33(3): 543-549, 2023 06 01.
Article in English | MEDLINE | ID: covidwho-2282296

ABSTRACT

BACKGROUND: Life expectancy in Spain fell by 1 year between 2018/19 and 2020. Yet, little is known on the impact on cause-of-death (COD) dynamics and educational inequalities therein. METHODS: We use individual-level death counts data by age, sex, education and multiple causes of death (MCOD) and the corresponding population exposures from national registers in Spain. Deaths were examined both as underlying cause of death (UCOD) and as contributory cause. We estimated life expectancies and lifespan inequalities by subpopulation groups and decomposed life expectancy differences between 2018/19 and 2020 by age groups and COD to assess the impact of COVID-19 (as MCOD) and major UCOD. RESULTS: COVID-19 contributed to a decline in male and female life expectancy in Spain between 2018/19 and 2020 (respectively, -1.7 and -1.4 years). Conversely, cancer, respiratory and circulatory system diseases and ill-defined causes as UCOD contributed to life expectancy increases. Life expectancy declines equalled -1.4 years among the low-educated in both sexes (population 30+), -1.0 and -0.7 years among middle-educated and -1.1 and -0.9 years among high-educated men and women. Without COVID-19, educational inequalities in life expectancy would have remained at similar levels, whereas lifespan variation would have been lower (-22% for women and -8% for men). CONCLUSIONS: Life expectancy declines in Spain in 2020 were mainly driven by COVID-19, with possible substitution effects, especially for respiratory system diseases (fewer deaths compared to 2018/19 when coded as UCOD but more as contributing cause). We therefore advocate analysing MCOD when studying changing COD patterns during the pandemic.


Subject(s)
COVID-19 , Pandemics , Humans , Male , Female , Cause of Death , Spain/epidemiology , Life Expectancy , Mortality
4.
PLoS One ; 15(11): e0241952, 2020.
Article in English | MEDLINE | ID: covidwho-914240

ABSTRACT

BACKGROUND: To provide an interpretable summary of the impact on mortality of the COVID-19 pandemic we estimate weekly and annual life expectancies at birth in Spain and its regions. METHODS: We used daily death count data from the Spanish Daily Mortality Monitoring System (MoMo), and death counts from 2018, and population on July 1st, 2019 by region (CCAA), age groups, and sex from the Spanish National Statistics Institute. We estimated weekly and annual (2019 and 2020*, the shifted annual calendar period up to 5 July 2020) life expectancies at birth as well as their differences with respect to 2019. RESULTS: Weekly life expectancies at birth in Spain were lower in weeks 11-20, 2020 compared to the same weeks in 2019. This drop in weekly life expectancy was especially strong in weeks 13 and 14 (March 23rd to April 5th), with national declines ranging between 6.1 and 7.6 years and maximum regional weekly declines of up to 15 years in Madrid. Annual life expectancy differences between 2019 and 2020 also reflected an overall drop in annual life expectancy of 0.9 years for both men and women. These drops ranged between 0 years in several regions (e.g. Canary and Balearic Islands) to 2.8 years among men in Madrid. CONCLUSIONS: Life expectancy is an easy to interpret measure for understanding the heterogeneity of mortality patterns across Spanish regions. Weekly and annual life expectancy are sensitive and useful indicators for understanding disparities and communicating the gravity of the situation because differences are expressed in intuitive year units.


Subject(s)
Coronavirus Infections/epidemiology , Life Expectancy , Pneumonia, Viral/epidemiology , Aged , Betacoronavirus , COVID-19 , Female , Humans , Male , Middle Aged , Pandemics , SARS-CoV-2 , Spain/epidemiology
6.
J Card Surg ; 35(8): 1761-1764, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-644752

ABSTRACT

On 11 March 2020, the World Health Organization declared the SARS-CoV-2 outbreak a pandemic. At the time of writing, 24 May 2020 more than 5 million individuals have been tested positive and the death toll was over 330 000 deaths worldwide. The initial data pointed out the tight bond between cardiovascular diseases and worse health outcomes in COVID19-patients. Epidemiologically speaking, there is an overlap between the age-groups more affected by COVID-related death and the age-groups in which Cardiac Surgery has its usual base of patients. The Cardiac Surgery Departments have to think to a new normal: since the virus will remain endemic in the society, dedicated pathways or even dedicated Teams are pivotal to treat safely the patients, in respect of the safety of the health care workers. Moreover, we need a keen eye on deciding which pathologies have to be treated with priority: Coronary artery Disease showed a higher mortality rate in patients affected by COVID19, but it is, however, reasonable to think that all the cardiac pathologies affecting the lung circulation-such as symptomatic severe mitral diseases or aortic stenosis-might deserve a priority access to treatment, to increase the survival rate in case of an acquired-Coronavirus infection later on.


Subject(s)
Cardiac Surgical Procedures , Coronavirus Infections/prevention & control , Hospital Restructuring , Infection Control/organization & administration , Pandemics/prevention & control , Pneumonia, Viral/prevention & control , Triage/organization & administration , Betacoronavirus , COVID-19 , Cardiovascular Diseases , Comorbidity , Coronavirus Infections/epidemiology , Hospital Units , Humans , Pneumonia, Viral/epidemiology , SARS-CoV-2
7.
J Public Health (Oxf) ; 42(3): 635-636, 2020 08 18.
Article in English | MEDLINE | ID: covidwho-599273
8.
Non-conventional in Times Cited: 0 0 | WHO COVID | ID: covidwho-742886

ABSTRACT

BACKGROUND To date, any attention paid to the age shape of COVID-19 deaths has been mostly in relation to understanding the differences in case fatality rates between countries. OBJECTIVE We explore differences in the age distribution of deaths from COVID-19 among six European countries which have old age structures. We do this by way of a cross-country comparison and put forward some reasons for potential differences. METHODS We estimate the distribution of deaths by 10-year age groups and the counterfactual age distribution under the assumption that all populations had the age structure of Italy. For this, we use 10-year age-grouped COVID-19 death counts and the corresponding population exposures for France, Italy, the Netherlands, Germany, Sweden, Spain, and China. RESULTS All included European countries experienced a high proportion of deaths at older ages. The relative proportion of deaths at ages above 90 years is lowest in Italy when compared to the other countries in the study despite Italy having the oldest population in Europe. CONTRIBUTION Population age structure seems essential for understanding COVID-19-related mortality, but other factors may play an important role, particularly at older ages in European populations.

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