ABSTRACT:
Objective:
To describe the main metrics on dengue generated by Global Burden of Disease (GBD) Study 2015, for Brazil and its 27 federated units, in the years 2000 and 2015.
Methods:
The metrics described were: incidence and mortality rates by dengue, standardized by age, years of life lost (YLL), years lived with disability (YLD), and disability-adjusted life years (DALY) (in absolute frequency and age-standardized rates). The estimated metrics were presented with uncertainty intervals (UI 95%) for the years 2000 and 2015, accompanied by the relative percentages of changes.
Results:
The number of cases increased 232.7% and the number of deaths increased 639.0% between 2000 and 2015 in the country. The incidence rate varied 184.3% and the mortality rate was low, but with an increase of 500.0% in the period evaluated. The YLL, YLD, and DALY rates increased 420.0, 187.2, and 266.1%, respectively. In 2015, DALY was similar among women and men (21.9/100,000). The DALY increased more than double in all the Brazilian federated units.
Conclusion:
The marked increase in dengue over the years is associated with the introduction and/or circulation of one or more serotypes of the transmitter virus and an increasing proportion of patients affected by the severe form of the disease. Despite the low mortality rate of the disease in comparison between the years of study, the disease contributes to the loss of healthy years of life in Brazil as it affects a large number of people, from all age groups, causing some degree of disability during the infection and deaths, especially, in children.
Keywords:
Dengue; Incidence; Mortality; Population estimates; Brazil
INTRODUCTION
Dengue, a tropical neglected disease, considered the vector-borne disease with the greatest growth in the world, occurs in 128 countries, putting approximately 4 billion people at risk11. Brady OJ, Gething PW, Bhatt S, Messina JP, Brownstein JS, Hoen AG, et al. Refining the Global Spatial Limits of Dengue Virus Transmission by Evidence-Based Consensus. PLoS Negl Trop Dis 2012; 6(8): e1760.,22. Hotez PJ, Alvarado M, Basánez MG, Bolliger I, Bourne R, Boussinesq M, et al. The Global Burden of Disease Study 2010: interpretation and implication for the Neglected Tropicall Diseases. PLoS Negl Trop Dis 2014; 8(7): e2865.. It is an acute, infectious, non-contagious, systemic disease of viral etiology, caused by four serotypes of the dengue virus (DENV) (DENV-1, DENV-2, DENV-3, and DENV-4) belonging to the Flavivirus genus, Flaviviridae family. The virus is transmitted by the bite of female mosquitoes of the Aedes genus, Aedes aegypti being its primary vector, which is spread in tropical and subtropical regions of the world, predominantly in urban and semi-urban areas33. Halstead SB. Epidemiology of dengue and dengue hemorrhagic fever. In: Gubler DJ, Kuno G. Dengue and dengue hemorrhagic fever. New York: CAB International; 1997.p. 23-44..
In recent years, between 50 and 100 million apparent cases per year and 22,000 deaths by dengue are estimated, especially among children44. World Health Organization. Dengue and severe dengue. 2016. Disponível em: Disponível em: http://www.who.int/mediacentre/factsheets/fs117/en/ (Acessado em: 12 de janeiro de 2017).
http://www.who.int/mediacentre/factsheet... ,55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.. The estimates vary and, according to a recent model, approximately 390 million (confidence interval of 95% (95%CI) 248-528) people are infected annually, of which 96 million people are apparent infections66. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013; 496(7446): 504-7.. The analysis of the Global Burden of Disease (GBD) Study of 2013 estimated 8.3 million (uncertainty interval of 95% (95% UI) 3.3-17.2) apparent cases of dengue, in 1990, and 58.7 million (95% UI 23.6-121.9) in 201355. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.. There was also a mean of 9,221 deaths per year between 1990 and 2013, ranging from the lowest value of 8,277 (95% UI 5,353-10,649) in 1992 to the highest one of 11,302 (95% UI 6,790-13,722) in 2010. In 2013, the disability due to acute, moderate, and severe cases of dengue, and cases of post-dengue chronic fatigue contributed to the loss of 566,000 years of healthy life (95% UI 186,400-1,414,600) and resulted in 576,900 years of life lost to premature death attributed to the disease (95% UI 330,000-701,200)55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.. In the Americas, the Panamerican Health Organization reported, in 2016, 2,249,842 cases of dengue, 64.5% of which in Brazil77. Pan American Health Organization. Dengue. 2017. Disponível em: Disponível em: http://www.paho.org/hq/index.php?option=com_topics&view=article&id=1&Itemid=40734 (Acessado em: 18 de janeiro de 2017).
http://www.paho.org/hq/index.php?option=... .
However, estimates of dengue do not reveal the actual occurrence of the disease owing to the underreporting of cases55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.. The symptomatic cases of dengue present a wide variation in the disease spectrum and approximately 70% of patients do not seek treatments66. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013; 496(7446): 504-7..
In Brazil, the first dengue epidemic, clinically and laboratorially documented, occurred in 1981 and 1982, and was associated to serotypes DENV-1 and DENV-4. Within the last decades, the country has experienced four major epidemics, associated with the predominant viral serotype: DENV-1, DENV-3, DENV-2, and DENV-4, in 1998, 2002, 2008, and 2010, respectively88. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Cartilha da Dengue. 2010. Disponível em: Disponível em: http://portal.saude.gov.br/portal/arquivos/flash/cartilha_dengue.html (Acessado em:5 de agosto de 2013).
http://portal.saude.gov.br/portal/arquiv... . In the past few years, dengue epidemics were caused by the circulation of more than one serotype99. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Boletim epidemiológico. 2015. Disponível em: Disponível em: http://portalsaude.saude.gov.br/images/pdf/2015/outubro/29/2015-035---Dengue-SE-40---29.10.15.pdf (Acessado em: 17 de novembro de 2015).
http://portalsaude.saude.gov.br/images/p... ,1010. Teixeira MG, Siqueira Jr. JB, Ferreira GLC, Bricks L, Joint G. Epidemiological trends of dengue disease in Brazil (2000-2010): a systematic literature search and analysis. PLoS Negl Trop Dis 2013; 7(12): e2520.,1111. Ramos-Castaneda J, dos Santos FB, Martínez Vega, Araújo MG, Joint G, Sarti E. Dengue in Latin America: Systematic Review of Molecular Epidemiological Trends. PLoS Negl Trop Dis 2017; 11(1).. In 2015, 1,649,008 cases of dengue were reported in the country. The southeast region had the highest number of reported cases (1,026,226 cases, 62.2%), followed by the northeast (311,519 cases, 18.9%), mid-west (220,966 cases, 13.4%), south (56,187 cases, 3.4%), and north (34,110 cases, 2.1%) regions99. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Boletim epidemiológico. 2015. Disponível em: Disponível em: http://portalsaude.saude.gov.br/images/pdf/2015/outubro/29/2015-035---Dengue-SE-40---29.10.15.pdf (Acessado em: 17 de novembro de 2015).
http://portalsaude.saude.gov.br/images/p... . In January and September 2016 (up to the 37th epidemiological week), 1,438,624 confirmed cases of dengue throughout the country were reported to the Ministry of Health, of which 762 cases were severe and 7,449 cases with alarm signals1212. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Boletim Epidemiológico - Monitoramento dos casos de dengue, febre de chikungunya e febre pelo vírus Zika até a Semana Epidemiológica 37. 2016. Disponível em: Disponível em: http://portalsaude.saude.gov.br/images/pdf/2016/outubro/18/2016-029-Dengue-publicacao-n-34.pdf (Acessado em: 19 de dezembro de 2016).
http://portalsaude.saude.gov.br/images/p... . As it is a disease with epidemics of great proportions and difficult control in urban environments, studies on the quantification of dengue burden in Brazil, which are still scarce, would allow a more adequate analysis of the dimensions of the disease and their impacts1313. Suaya JA, Shepard DS, Beatty ME. Dengue: Burden of Disease and Costs of Illness. In: Scientific Working Group.Report on Dengue.Geneva,Switzerland; 2006.,1414. Luz PM, Grinsztejn B, Galvani AP. Disability adjusted life years lost to dengue in Brazil. Trop Med Int Health 2009; 14(2): 237-46.,1515. Barreto ML, Teixeira MG, Bastos FI, Ximenes RA, Barata RB, Rodrigues LC. Successes and failures in the control of infectious diseases in Brazil: social and environmental context, policies, interventions, and research needs. Lancet 2011; 377(9780):1877-89.. The GBD initiative is a descriptive epidemiologic study which, since 1990, has the objective of quantifying and comparing the magnitude of health loss due to diseases, injuries, and risk factors by location, gender, and age, at specific moments in time1616. Institute for Health Metrics and Evaluation. Global Burden of Disease. 2015. Disponível em: Disponível em: http://www.healthdata.org/gbd (Acessado em: 19 de dezembro de 2016).
http://www.healthdata.org/gbd... .
This study analyzed the main metrics on dengue generated by GBD 2015, for Brazil, describing the situation of the disease in the 27 federated units in the years 2000 and 2015.
METHODS
GBD 2015 includes multiple evaluations of the disease burden from 1990 to 2015. The estimates presented in this article were obtained by observation of the results from the Institute for Health Metrics and Evaluation1616. Institute for Health Metrics and Evaluation. Global Burden of Disease. 2015. Disponível em: Disponível em: http://www.healthdata.org/gbd (Acessado em: 19 de dezembro de 2016).
http://www.healthdata.org/gbd... .
This study describes the metrics generated by GBD 2015 on dengue, for Brazil and their federated units, in 2000 and 2015. The methods used by GBD 2015 were detailed in previous publications1616. Institute for Health Metrics and Evaluation. Global Burden of Disease. 2015. Disponível em: Disponível em: http://www.healthdata.org/gbd (Acessado em: 19 de dezembro de 2016).
http://www.healthdata.org/gbd... ,1717. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of 655 death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459-544.,1818. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1545-602.,1919. Global Burden of Disease 2013 Collaborators. Global, regional and national incidence, prevalence and years lived with disability for 301 acute and chronic diseases and injures in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386: 743-800.,2020. Marinho F, Passos VMA, França EB. Novo século, novos desafios: mudança no perfil da carga de doença no Brasil de 1990 a 2010. Epidemiol Serv Saúde 2016; 25(4): 713-24..
For Brazil, the main source of information on deaths is based on the Ministry of Health’s Mortality Information System (Sistema de Informações sobre Mortalidade - SIM), adjusted by other national and international sources. For the GBD 2015 estimates of mortality1717. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of 655 death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459-544., a list with 247 specific causes was used, presenting hierarchical structure, with levels of aggregation and mutually exclusive categories of causes. Details on the groups of death causes were obtained by the ninth and tenth reviews of the International Statistical Classification of Diseases and Health Related Problems (ICD10 A90-A91), and the errors in classification were previously described1717. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of 655 death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459-544.. The modeling for mortality by dengue used the data from the database for basic causes of death and the modeling tool for joint causes of death (Ensemble)55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.. In short, the covariates were selected based on the associations expected for mortality by dengue, according to published scientific evidence and biological plausibility. Among these covariates, some environmental variables (precipitation, proportion of population living between 15° north and 15° south, proportion of population living below 100 m altitude and proportion of population living in urban areas), and variables related to the level of development of each country (per capita income, access to the health system, and average years of education) were included. Finally, the mean probability of transmission by the virus of dengue, weighted by the population, was included66. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013; 496(7446): 504-7.. In the GBD 2015 study, it was estimated, first, the mortality by all causes and, next, by age, gender, and year55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.,1919. Global Burden of Disease 2013 Collaborators. Global, regional and national incidence, prevalence and years lived with disability for 301 acute and chronic diseases and injures in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386: 743-800..
The main sources of data in Brazil for morbidity are Notifiable Disease Information System (Sistema de Informação de Agravos de Notificação - SINAN), Hospital Information System of the Unified Health System (Sistema de Informações Hospitalares do Sistema Único de Saúde - SIH/SUS), and Outpatient Information System of the Unified Health System (Sistemas de Informações Ambulatoriais do Sistema Único de Saúde - SIA/SUS). Among others, the estimates of the Annual Reported Cases of Dengue in the Americas (PAHO) and bibliographical references, comprehensively and exhaustively researched, on the prevalence of diseases in Brazilian population-based studies are also used.
The correction of underreporting used a three-phased modeling. First, the spatial distribution expected for the disease (dengue) was used, based on principal components analysis of the population-weighted probability of dengue transmission and model-based estimates of dengue mortality. Next, the association between the expected distribution and the incidence observed was modeled by mixed effect negative binomial, with the premise that the expected deviations in distribution are a reflex of the completeness of the reported data. The model was calibrated by benchmarking these deviations against the factors of empiric expansion, based on published data. The total cases of dengue was modeled by country and year, and distributed into age-gender groups, based in the cases of dengue captured by SIH/SUS in Brazil55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.,66. Bhatt S, Gething PW, Brady OJ, Messina JP, Farlow AW, Moyes CL, et al. The global distribution and burden of dengue. Nature 2013; 496(7446): 504-7.,1919. Global Burden of Disease 2013 Collaborators. Global, regional and national incidence, prevalence and years lived with disability for 301 acute and chronic diseases and injures in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386: 743-800..
The three estimates for burden of disease were analyzed: years of life lost (YLL) - years of life lost by premature death; years lived with disability (YLD); and disability-adjusted life year (DALY) - years of life lost by premature death or disability. YLL expresses the effect of premature deaths in the population and results from the multiplication of the number of deaths by dengue for each age range by the higher life expectancy at this age, regardless of gender. Life expectancy is based on a theoretical composition of the table, in which the life-goal perspective for each age is the same as the higher life expectancy reported among people of this age in any country. YLD expresses the sum of prevalence of each one of the sequelae related to dengue, multiplied by weighting of disability or incapacity. DALY is calculated with the sum of YLL and YLD1717. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of 655 death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459-544.,1818. GBD 2015 Disease and Injury Incidence and Prevalence Collaborators. Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1545-602.,2020. Marinho F, Passos VMA, França EB. Novo século, novos desafios: mudança no perfil da carga de doença no Brasil de 1990 a 2010. Epidemiol Serv Saúde 2016; 25(4): 713-24..
One out of two acute health conditions were attributed for each dengue case: 94.5% of cases were considered as disability for “infectious diseases, moderate acute episode,” with mean duration of 6 days; and 5.5% was considered a disability for “infectious disease, severe acute episode”, with mean duration of 14 days. The proportions for division between moderate and severe cases were defined from a meta-analysis of the subset of data, which also presented the total number of cases and also the number of severe cases (defined as hemorrhagic dengue fever or dengue shock syndrome). The definition of severe case corresponded to the description of episode of severe acute infectious disease in the context of weight of disability and not to the case of severe dengue by the World Health Organization (WHO)2121. World Health Organization. Special Programme for Research and Training in Tropical Diseases (TDR): Dengue: guidelines for diagnosis, treatment, prevention and control. 2009. Disponível em: Disponível em: http://www.who.int/tdr/publications/documents/dengue-diagnosis.pdf (Acessado em: 12 de janeiro de 2017).
http://www.who.int/tdr/publications/docu... . In addition to that, 8.5% of cases were included as post-dengue chronic fatigue, and the weight of disability was attributed to “infectious diseases with post-acute consequences,” with mean duration of six months55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.,1919. Global Burden of Disease 2013 Collaborators. Global, regional and national incidence, prevalence and years lived with disability for 301 acute and chronic diseases and injures in 188 countries, 1990-2013: a systematic analysis for the Global Burden of Disease Study 2013. Lancet 2015; 386: 743-800..
The metrics analyzed in this article were incidence and mortality by dengue rates, which were standardized by age, YLL, YLD, and DALY (absolute frequency and age standardized rates). The estimated metrics were presented with their respective 95% UI. The estimates were presented for the years of 2000 and 2015, accompanied by their relative change percentages.
RESULTS
Table 1 presents the main metrics for dengue and the percentage variation between 2000 and 2015. An increase of 232.7% in the number of cases and of 639.0% in the number of deaths was observed. The incidence rate ranged 184.3% and the mortality rate was low, though with an increase of 500.0% in the period evaluated. DALY, YLL, and YLD rates per 100,000 inhabitants and standardized by age, increased 266.1, 420.0, and 187.2%, respectively. In 2015, the DALY rates were similar among women (21.9/100,000; UI 95% 13.3-32.4) and men (21.9/100,000; UI 95% 11.5-30.6).
Figure 1A shows the mortality rates by dengue per 100,000 inhabitants, by age range in Brazil, in 2000 and 2015. The mortality rate by dengue increased in the period evaluated in all age ranges. In 2015, the higher estimates for mortality rates were reported among children younger than 1 year of age (0.70) and elderly (ranging from 0.42, age range of 65-69 years, to 1.76, from 80 years of age on).
Adjusted mortality rates (A) years of life lost; (B) years lived with disability; (C) disability adjusted life years; (D) per 100,000 for dengue Global Burden of Disease Brazil, 2015.
Figure 1B presents the rates of years of life lost by premature death (YLL per 100,000 inhabitants) by dengue. The higher rates were observed in children younger than 1 year of age, 11.8 and 59.9 in 2000 and 2015, respectively. It is noteworthy that, in this period, the increase was 407.6%. Figure 1C shows the burden of dengue due to the years lived with disability (YLD per 100,000 inhabitants). In 2015, the highest rates of YLD were observed in the age range between 5 and 19 years of age, ranging from 13.1 to 14.3.
Figure 1D presents the loss of healthy years of life due to premature death or disability by dengue (DALY per 100,000 inhabitants) according to age ranges. Between 2000 and 2015, the values of DALY increased in all age ranges. The higher values were observed for children younger than 1 year of age: in 2000 (15.3) and 2015 (70.1), corresponding to an increase of 358.2%. After this age, in both years evaluated, a decline of DALY in the age range of 1-4 years of age, and increase in the age range of 5-9 years of age, and stabilization of the DALY values in the subsequent ranges were observed.
Table 2 shows estimated values of DALY per 100,000 inhabitants in Brazilian states and relative variations between 2000 and 2015. In this period, the DALY more than doubled in all Brazilian states. The lowest increases are found in states of the south of the country - Santa Catarina (116.7%) and Rio Grande do Sul (176.1%). In the remaining states, the increase ranged from 200.0% (São Paulo, Southeast region) to 415.0% (Tocantins, North region). The highest increase percentages were in north (Acre - 378.8, Amapá - 365.6%, Rondônia - 327.8%, and Roraima - 313.6%); northeast (Bahia - 326.1%, Ceará - 322.3%, Piauí - 347.9%, and Rio Grande do Norte - 331.0%); and mid-west (Mato Grosso - 347.8%, Mato Grosso do Sul - 325.0%) regions. These data had greater relative variation than the average of the country in the period (266.1%; Table 1). In the southeast region, the increases ranged between 200.0% in São Paulo and 281.4% in Rio de Janeiro.
DISCUSSION
The dengue situation in Brazil have changed significantly throughout the last decades, with an alarming increase in the number of people affected by a succession of epidemics associated to the introduction and/or circulation of one or more serotypes of the etiological agent and growing proportion of patients affected by the severe form of the disease1010. Teixeira MG, Siqueira Jr. JB, Ferreira GLC, Bricks L, Joint G. Epidemiological trends of dengue disease in Brazil (2000-2010): a systematic literature search and analysis. PLoS Negl Trop Dis 2013; 7(12): e2520.,2222. Paixão ES, Costa MCN, Rasella D, Cardim LL, Brasileiro AC, Teixeira MGLC. Trends and factors associated with dengue mortality and fatality in Brazil. Rev Soc Bras Med Trop 2015; 48(4): 399-405.,2323. Campos KB, Amâncio FF, de Araújo VEM, Carneiro M. Factors associated with death from dengue in the state of Minas Gerais, Brazil: historical cohort study. Trop Med Intern Health 2015; 20(2): 211-8..
The Program of Dengue Control failed in controlling the vector in the country1515. Barreto ML, Teixeira MG, Bastos FI, Ximenes RA, Barata RB, Rodrigues LC. Successes and failures in the control of infectious diseases in Brazil: social and environmental context, policies, interventions, and research needs. Lancet 2011; 377(9780):1877-89.. From 2000 to 2015, there was a considerable growth in dengue burden in Brazil, with the increased number of cases of death, incidence, and mortality rates, YLL, YLD, and DALY. During this period, the increased incidence of dengue (184.3%) is in contrast to the tendency to decrease of the burden of communicable diseases in Brazil, which has advances in the process of epidemiological transition, with increased burden of non-communicable chronic diseases1515. Barreto ML, Teixeira MG, Bastos FI, Ximenes RA, Barata RB, Rodrigues LC. Successes and failures in the control of infectious diseases in Brazil: social and environmental context, policies, interventions, and research needs. Lancet 2011; 377(9780):1877-89.,2424. Schmidt MI, Duncam BB, Silva GA, Menezes AM, Monteiro CA, Barreto SM, et al. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet 2011; 377(9781):1949-61..
Between 2000 and 2015, the mortality rate by dengue increased 500.0%, varying from 0.04 to 0.24 deaths per 100,000 inhabitants, though it is still considered low. Despite its acute nature and the low mortality rate, dengue is a great contributor to the loss of healthy years of life in Brazil, which corresponded to 44,948 years in 2015. This year, the DALY for dengue (21.9/100,000; 95% UI 13.7-30.4) contributed with 11.0% for the DALY of neglected tropical diseases and malaria (195.9/100,000; 95% UI 160.6-246.0), group in which dengue is included1616. Institute for Health Metrics and Evaluation. Global Burden of Disease. 2015. Disponível em: Disponível em: http://www.healthdata.org/gbd (Acessado em: 19 de dezembro de 2016).
http://www.healthdata.org/gbd... ,1717. GBD 2015 Mortality and Causes of Death Collaborators. Global, regional, and national life expectancy, all-cause mortality, and cause-specific mortality for 249 causes of 655 death, 1980-2015: a systematic analysis for the Global Burden of Disease Study 2015. Lancet 2016; 388: 1459-544.,2525. World Health Organization. Working to overcome the global impact of neglected tropical diseases: First WHO report on neglected tropical diseases. Geneva: World Health Organization; 2010.. This may be explained by the elevated number of people, in all age ranges, with some degree of disability during the symptomatic infection and deaths, especially, of children. In 2000, premature deaths (YLL) contributed with 34.0% of the DALY by dengue, and disabilities (YLD) contributed with 66%. In 2015, these indicators contributed with 49.0 and 51.0%, respectively. This growth in YLL between 2000 and 2015 expresses an increase in the number of deaths by dengue (639.0%), higher than the increase in the number of cases (233.0%). Furthermore, the mortality rate among children younger than 1 year of age has a great impact in YLL.
The increase of 266.1% in the DALY of dengue, between 2000 and 2015, reinforces its position as an important public health issue in Brazil. This percentage of increase, when compared with other countries in Latin America, was higher than the one found in Peru (123.1%), Colombia (91.6%), Ecuador (91.6%), and Venezuela (80.4%); lower than the percentages of increase in Bolivia (366.6%) and Paraguay (803.5%); and similar to the one of Argentina (326.7%) in the same period1616. Institute for Health Metrics and Evaluation. Global Burden of Disease. 2015. Disponível em: Disponível em: http://www.healthdata.org/gbd (Acessado em: 19 de dezembro de 2016).
http://www.healthdata.org/gbd... .
In Brazil, elevated mortality rates by dengue have been observed in extreme age ranges (children younger than 1 year of age and elderly aged 56 years old or older). However, since the first epidemics, the highest incidence rates of the disease occurred among young adults. As of 2006, some states presented the recirculation of the type 2 dengue virus (DENV-2) after some years of predominant serotype DENV-3. This change of serotypes is believed to be responsible for the increase, from 2007 on, in the number of severe cases among children2626. Cavalcanti LP, Vilar D, Souza Santos R, Teixeira MG. Change in age pattern of persons with dengue, northeastern Brazil. Emerg Infect Dis 2011;17:132-4.,2727. Siqueira Júnior JB, Vinhal LC, Said RFC, Hoffmann JL, Martins J, Barbiratto SB, et al. Dengue no Brasil: tendências e mudanças na epidemiologia, com ênfase nas epidemias de 2008. In: Brasil. Ministério da Saúde. Saúde Brasil 2010: uma análise da situação de saúde e de evidências selecionadas de impacto de ações de vigilância em saúde. Brasília; Ministério da Saúde; 2011. p. 157-71.,2828. Teixeira MG, Costa MC, Coelho GE, Barreto ML. Recent shift in age pattern of dengue hemorrhagic fever, Brazil. Emerg Infect Dis 2008; 14:1663.,2929. Rodriguez-Barraquer I, Cordeiro MT, Braga C, de Souza WV, Marques ET, Cummings DA. From re-emergence to hyper-endemicity: the natural history of the dengue epidemic in Brazil. PLoS Negl Trop Dis 2011; 5:e935.. However, it is possible that the introduction of DENV-4 has postponed this tendency according to the arguments supported by the models of viral susceptibility2929. Rodriguez-Barraquer I, Cordeiro MT, Braga C, de Souza WV, Marques ET, Cummings DA. From re-emergence to hyper-endemicity: the natural history of the dengue epidemic in Brazil. PLoS Negl Trop Dis 2011; 5:e935.. In the state of Minas Gerais, after the introduction of DENV-4, in 2011, despite the greater proportion of cases occurring in patients aged between 15 and 49 years, the highest mortality rates occurred among patients aged 50 years or more. The risk of death, in this group, is associated to the difficulty in handling the disease in a population with high frequency of comorbidities3030. Amâncio FF, Ferraz ML, Almeida MCM, Pessanha EM, Ianid FCM, Fraga GL, et al. Dengue virus serotype 4 in a highly susceptible population in Southeast Brazil. J Infect Public Health 2014; 7(6): 547-52.. In addition to that, in areas where the occurrence of dengue is relatively new, such as in Minas Gerais and in most part of Brazil3131. Siqueira Jr. JB, Martelli CM, Coelho GE, Simplicio AC, Hatch DL. Dengue and dengue hemorrhagic fever, Brazil,1981-2002. Emerg Infect Dis 2005; 11:48-53., older people are not entirely immune and therefore, they have an increased risk of secondary infection3232. Cordeiro MT, Silva AM, Brito CA, Nascimento EJ, Magalhães MC, Guimarães GF, et al. Characterization of a dengue patient cohort in Recife, Brazil. Am J Trop Med Hyg 2007; 77(6):1128-34. and, consequently, greater risk of a more severe disease.
In Brazil, the co-circulation of viral serotypes of dengue is frequent, with alternated predominant serotypes. For instance, in 2015, among the 23,976 samples processed for viral isolation, 39.3% of them were positive, with predominance of DENV-1 (94.1%), followed by DENV-4 (4.8%), DENV-2 (0.7%), and DENV-3 (0.4%)3333. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Boletim Epidemiológico. 2016. Disponível em: Disponível em: http://portalsaude.saude.gov.br/images/pdf/2016/dezembro/20/2016-033---Dengue-SE49-publicacao.pdf (Acessado em: 22 de janeiro de 2017).
http://portalsaude.saude.gov.br/images/p... . In 2016, the country went through a severe public health situation associated to the simultaneous circulation of two other emerging arboviruses: Zika and Chikungunya. The co-circulation of these three arboviruses (DENV, CHIKV e ZIKV), which is facilitated by having the Aedes mosquito as the main vector, hinders the management of clinical patients, increases mortality and morbidity of more vulnerable populational groups, such as elderly, pregnant women, and children, and hinders laboratorial diagnosis. In addition, the same vector also transmits the yellow fever virus. Still in 2015, there was an unexpected increase in microcephaly cases associated with intrauterine exposure to Zika virus3434. Oliveira WK, Cortez-Escalante J, Oliveira WTGH, Carmo GMI, Henriques CMP, Coelho GE , et al. Increase in reported prevalence of microcephaly in infants born to women living in areas with confirmed Zika Virus transmission during the first trimester of pregnancy: Brazil, 2015. MMWR Morb Mortal Wkly Rep 2016;65(9):242-7.,3535. Faria NR, Azevedo RSS, Kraemer MUG, Souza R, Cunha MS, Hill SC, et al. Zika virus in the Americas: early epidemiological and genetic findings. Science 2016;352(6283):345-9.,3636. Mlakar J, Korva M, Tul N, Popovic M, Poljšak-Prijatelj M, Mraz J, et al. Zika virus associated with microcephaly. N Engl J Med 2016; 374(10): 951-8.,3737. Marinho F, Araújo VEM, Porto DL, Ferreira HL, Coelho MRS, Lecca RCR, et al. Microcefalia no Brasil: prevalência e caracterização dos casos a partir do Sistema de Informações sobre Nascidos Vivos (Sinasc), 2000-2015. Epidemiol Serv Saúde 2016; 25(4): 701-12.. In February 2016, this severe epidemiological situation, after occurrence of a similar situation in French Polynesia, in 2014, was declared a public health emergency of international concern (PHEIC) due to possible associations to Zika virus3838. World Health Organization. WHO statement on the first meeting of the International Health Regulations (2005) (IHR 2005) Emergency Committee on Zika virus and observed increase in neurological disorders and neonatal malformations. Geneva: World Health Organization ; 2016. Disponível em: Disponível em: http://www.who.int/mediacentre/news/statements/2016/1st-emergency-committee-zika/en/ (Acessado em: 23 de janeiro de 2017).
http://www.who.int/mediacentre/news/stat... .
Besides being a public health problem, dengue have a significant economic and social impact in the country. It was estimated that the cost of morbidity and mortality by dengue in Brazil, between 2001 and 2005, was US$ 322 million and that, on average, it led to a loss of 1,391.68 potential years of life3939. Suaya JA, Shepard DS, Siqueira JB, Martelli CT, Lum LC, Tan LH, et al. Cost of dengue cases in eight countries in the Americas and Asia: a prospective study. Am J Trop Med Hyg 2009; 80(5):846-55.. The economic impact of dengue in different regions in Brazil for the epidemic period between 2012 and 2013 was US$ 371 million (90% CI 349-590) or US$ 1,212 million (90% CI 904-1.526) after adjustment for underreporting4040. Martelli CMT, Siqueira Jr. JB, Parente MPPD, Zara ALSA, Oliveira CS, Braga C, et al. Economic Impact of Dengue: Multicenter Study across Four Brazilian Regions. PLoS Neglected Tropical Dis 2015;9(9):e0004042..
The mortality rates and estimated incidences in Brazil for dengue in the years evaluated differ in magnitude from those estimated by GBD 2015. The incidence rate of dengue, in 2015, estimated by the Ministry of Health (813.3/100,000), was a little lower than the one estimated for GBD 2015 (1,269.1/100,000) in the same year3333. Brasil. Ministério da Saúde. Secretaria de Vigilância em Saúde. Boletim Epidemiológico. 2016. Disponível em: Disponível em: http://portalsaude.saude.gov.br/images/pdf/2016/dezembro/20/2016-033---Dengue-SE49-publicacao.pdf (Acessado em: 22 de janeiro de 2017).
http://portalsaude.saude.gov.br/images/p... . The mortality rates for dengue in the years of 2000 and 2015 (0.04 and 0.24/100,000) differ from those calculated for 2000 (0.14/100,000 inhabitants)2222. Paixão ES, Costa MCN, Rasella D, Cardim LL, Brasileiro AC, Teixeira MGLC. Trends and factors associated with dengue mortality and fatality in Brazil. Rev Soc Bras Med Trop 2015; 48(4): 399-405. and the mean rate estimated for the period 2000-2011 (0.16/100,000 inhabitants)4141. Martins-Melo FR, Ramos Jr. AN, Alencara CH, Heukelbacha J. Mortality from neglected tropical diseases in Brazil, 2000-2011. Bull World Health Organ 2016;94(2):103-10.. These differences may be explained by the use of distinct methodologies. The GBD 2015 combined multiple sources of data and available evidence on the incidence of deaths by dengue, including the probability of dengue occurrence, adjustments for underreporting, and substantial refinements of the models for estimating incidence and mortality55. Stanaway JD, Shepard DS, Undurraga EA, Halasa YA, Coffeng LE, Brady OJ, et al. The global burden of dengue: an analysis from the Global Burden of Disease Study 2013. Lancet 2016; 16(6): 712-23.. However, limitations due to the quality of surveillance systems may compromise the estimates, especially in Brazilian regions.
CONCLUSIONS
The results allowed the better understanding the burden of dengue in the country and federated units, according to the metrics estimated by the GBD 2015. The epidemics of dengue throughout the years have been associated to the introduction and/or alternate circulation of one or more serotypes of the virus, in addition to the increased number of patients affected by severe forms of the disease. This analysis is a contribution to health policies, which should prioritize the prevention and appropriate management of patients in order to reduce the burden of dengue in the country.
ACKNOWLEDGMENTS
M.C. is thankful to CNPq for the Grant of productivity in research and to FAPEMIG for the support to Pesquisador Mineiro (PPM/2016).
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- Financial support: Bill & Melinda Gates Foundation (GBD Global) and Ministry of Health (GBD 2015 Brazil-states), through the National Health Fund (Process No. 25000192049/2014-14).
Publication Dates
- Publication in this collection
May 2017
History
- Received
06 Feb 2017 - Accepted
06 Mar 2017