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Objective: The irruption of SARS-CoV-2 and its different incidence on the regional mortality rate could be revealing the effects of the change in the paradigm of health justice, initiated in Spain in 2010 and applied, more or less enthusiastically, by the different autonomous communities. The objective of this work was to look for if the socio-economic conditions and the policy of budgetary expenditure followed by the different Spanish autonomous communities have incidence, by themselves, on the mortality rate caused by the SARS-CoV-2., Methods: Econometric research based on Multiple Linear Regression to determine the direct cause-effect relationship between the dependent variable, mortality associated with COVID-19, with explanatory variables of the health budget and socio-economic type., Results: The number of deaths caused by COVID-19 has a positive relationship with the rate of GDP per capita and inversely with expenditure on hospital and specialized services, teaching and IRMs and with the resources allocated to health over the last nine years. A reduction in any of these health budget variables leads to an increase in mortality caused by COVID-19., Conclusions: The COVID-19 mortality rate has hit the wealthiest autonomous communities hardest but, above all, has hit those that, although richer, applied more restrictive budgetary measures in the period 2010-2018.

This essay intends to carry out an ethical and philosophical reflection on the effects of the emergency contingencies of the COVID-19 pandemic. With a focus on Brazil, it seeks to understand, critique, and attribute meaning to references to the pandemic, in particularly dramatic moments brought about by the synergy produced between the serious disease affecting the country and the world and a government that stands out for its remarkable unwillingness and inability to deal with this calamity. This text was written during the Brazilian "quarantine," which lasted from mid-March to late April, 2020. During this period, we were bombarded by facts that never ceased to haunt us, and lived each day under the terrible dominion of the pandemic. Therefore, this text was written in the midst of a social context marked by control efforts, with great attention directed at the health of those affected, despite the complex political framework and serious economic difficulties facing the country.

Objective: The study was motivated by the need to understand the high number of deaths caused by COVID-19 in the global pandemic declared since December 2019, and how it impacted differently in European countries. The hypothesis was that less investment in the public health system, the number of doctors per inhabitant and the number of hospital beds available to the population led to a higher number of deaths after the arrival of COVID-19 in each country studied. The objective was to analyze the relationship between the number of deaths from COVID-19 in the global pandemic declared since December 2019 and health policies and investment in European countries., Methods: A research study was conducted in which a total of six variables were analyzed with official and contrasted data: public health expenditure per capita; doctors per 1,000 inhabitants; number of beds per 1,000 people; deaths from COVID-19 per million inhabitants; number of tests to detect COVID-19 per 1,000 inhabitants; and GINI Coefficient to measure the degree of social inequality in each country. It was carried out in 30 European countries. Frequency and correlation analyses were carried out (Pearson)., Results: Five countries were found, which gave values above 300 deaths per million (data from April 27, 2020): United Kingdom; (305.39), France (350.16), Italy (440.67), Spain (495.99) and Belgium (612.1). Precisely, in the countries that recorded the most deaths (United Kingdom, France, Italy, Spain and Belgium) on April 27, we did not find high values of TEST performance. In our analysis, we found that the lower the investment of public spending in health (per capita), the higher the number of deaths per COVID-19 per million inhabitants, the lower the coverage of hospital beds, and the lower the number of doctors. Finally, we found that the lower the expenditure on public health, the higher the GINI coefficient (thus greater social inequality)., Conclusions: A negative effect in terms of deaths was detected when investment in public health was lower; the higher number of deaths from COVID-19 was correlated (p<0.005) with greater social inequality (GINI coefficient) and with lower investment in public health (p<0.001); this had an impact on the lower number of available beds and low physician coverage per 1,000 inhabitants., Competing Interests: Disclosure The authors report no conflicts of interest in this work.

Objective: to analyze the relationship between per capita income and the cumulative incidence of COVID-19 in the neighborhoods of the city of Rio de Janeiro, RJ, Brazil., Method: an ecological study using neighborhoods as units of analysis. The cumulative incidence rate per 100,000 inhabitants and the median of potential confounding variables (sex, race, and age) were calculated. Multiple analysis included quantile regression, estimating the regression coefficients of the variable income for every five percentiles from the 10th to 90th percentiles to verify the relationship between income and incidence., Results: the city's rate was 36.58 new cases per 100,000 inhabitants. In general, the highest rates were observed in the wealthiest regions. Multiple analysis was consistent with this observation since the per capita income affected all percentiles analyzed, with a median regression coefficient of 0.02 (p-value <0.001; R2 32.93). That is, there is an increase of R$ 0.02 in the neighborhood's per capita income for every unit of incidence., Conclusion: cumulative incident rates of COVID-19 are influenced by one's neighborhood of residency, suggesting that access to testing is uneven.

Unlabelled: Influenza A (H1N1) 2009 infection was an important cause of morbidity and mortality in Chile., Aim: To characterize the clinical pattern of hospitalized patients, identify risk factors associated with ICU admission or death, and evaluate its economic impact., Patients and Methods: Twenty five adult patients admitted to 2 hospitals in the Metropolitan Area from May 2009 to December 2010 with PCR confirmed H1N1 infection were analyzed. Total hospital charges were obtained and, using data of registered cases, expenses for the whole country during the first epidemic wave were estimated., Results: Aill cases presented a risk factor: age over 60 years old (n = 13, 52%), co-morbid conditions (n = 24, 96%) or pregnancy (n = 1, 4%). Pneumonia was present in 64% (n = 16) and 16% (n = 4) had hypotension. Only 6 patients (24%) had a CURB-65 score ≥ 2 and 36% (n = 9) requiring ICU admission. Case fatality rate was 16% (n = 4). By multivariate analysis, diabetes mellitus type 2 was independently associated with ICU admission or death (OR 8.12; IC95 1.11-59.2, p < 0.05). Hospital charges for those admitted to ICU or the intermediate care unit reached US$ 20,304, and US$ 1,262 for those admitted in general wards. We estimated US$ 20 million in hospital charges for influenza related hospitalizations during the first wave for the whole country., Conclusions: A high proportion of patients affected by influenza A (H1N1) 2009 infection required ICU admission during 2009-2010. Case fatality rate associated to this infection was high, and diabetes mellitus type 2 was a risk factor for ICU admission or death. Hospital charges were higher for those admitted in critical care units and represented an important expenditure for Chile during the first wave. The CURB-65 score was inappropriate to recognize patients at risk of hospitalization or ICU admission.