Epidemiological burden of Chikungunya fever in Brazil, 2016 and 2017.

OBJECTIVES: To describe Chikungunya fever (CHIKF) cases and estimate the burden of the disease in Brazil between 2016 and 2017. METHODS: The first stage of this study consisted of a descriptive epidemiological study with estimations of incidence, mortality and case-fatality rates for each Brazilian state. The second stage provided estimates of the disease burden using DALY, an indicator that aggregates measures of morbidity (years lived with disability - YLD) and mortality (years of life lost - YLL) into a single value. RESULTS: In Brazil, the incidence rate in 2016 was 114.70 per 100,000 inhabitants, while the mortality rate was 0.15 per 100,000, for a case-fatality rate of 0.13%. In 2017, these figures were 87.59 and 0.12 per 100,000 inhabitants and 0.14%, respectively. The estimated CHIKF burden for Brazil in 2016 was 77,422.61 DALY or 0.3757 per 1000 inhabitants. In 2016, the YLL share of DALY was 10.04%, with YLD accounting for the remaining 89.96%. In 2017, the estimated burden was 59,307.59 DALY or 0.2856 per 1000 inhabitants, with YLL accounting for 9.65% of the total and YLD for 90.35%. CONCLUSION: CHIKF causes a significant disease burden in Brazil. The chronic phase of CHIKF is responsible for the largest portion of DALY. Deaths from CHIKF are a significant component of the disease burden, with YLL accounting for approximately 10% of the total DALY value.

Tracking excess deaths associated with the COVID-19 epidemic as an epidemiological surveillance strategy-preliminary results of the evaluation of six Brazilian capitals.

INTRODUCTION: In March 2020, the World Health Organization declared the coronavirus disease (COVID-19) outbreak a pandemic. In Brazil, 110 thousand cases and 5,901 deaths were confirmed by the end of April 2020. The scarcity of laboratory resources, the overload on the service network, and the broad clinical spectrum of the disease make it difficult to document all the deaths due to COVID-19. The aim of this study was to assess the mortality rate in Brazilian capitals with a high incidence of COVID-19. METHODS: We assessed the weekly mortality between epidemiological week 1 and 16 in 2020 and the corresponding period in 2019. We estimated the expected mortality at 95% confidence interval by projecting the mortality in 2019 to the population in 2020, using data from the National Association of Civil Registrars (ARPEN-Brasil). RESULTS: In the five capitals with the highest incidence of COVID-19, we identified excess deaths during the pandemic. The age group above 60 years was severely affected, while 31% of the excess deaths occurred in the age group of 20-59 years. There was a strong correlation (r = 0.94) between excess deaths and the number of deaths confirmed by epidemiological monitoring. The epidemiological surveillance captured only 52% of all mortality associated with the COVID-19 pandemic in the cities examined. CONCLUSIONS: Considering the simplicity of the method and its low cost, we believe that the assessment of excess mortality associated with the COVID-19 pandemic should be used as a complementary tool for regular epidemiological surveillance.

Tracking excess deaths associated with the COVID-19 epidemic as an epidemiological surveillance strategy-preliminary results of the evaluation of six Brazilian capitals

Abstract INTRODUCTION: In March 2020, the World Health Organization declared the coronavirus disease (COVID-19) outbreak a pandemic. In Brazil, 110 thousand cases and 5,901 deaths were confirmed by the end of April 2020. The scarcity of laboratory resources, the overload on the service network, and the broad clinical spectrum of the disease make it difficult to document all the deaths due to COVID-19. The aim of this study was to assess the mortality rate in Brazilian capitals with a high incidence of COVID-19. METHODS: We assessed the weekly mortality between epidemiological week 1 and 16 in 2020 and the corresponding period in 2019. We estimated the expected mortality at 95% confidence interval by projecting the mortality in 2019 to the population in 2020, using data from the National Association of Civil Registrars (ARPEN-Brasil). RESULTS: In the five capitals with the highest incidence of COVID-19, we identified excess deaths during the pandemic. The age group above 60 years was severely affected, while 31% of the excess deaths occurred in the age group of 20-59 years. There was a strong correlation (r = 0.94) between excess deaths and the number of deaths confirmed by epidemiological monitoring. The epidemiological surveillance captured only 52% of all mortality associated with the COVID-19 pandemic in the cities examined. CONCLUSIONS: Considering the simplicity of the method and its low cost, we believe that the assessment of excess mortality associated with the COVID-19 pandemic should be used as a complementary tool for regular epidemiological surveillance.