Monaise Madalena Oliveira e Silva

Outbreak of Exanthematous Illness Associated with Zika, Chikungunya, and Dengue Viruses, Salvador, Brazil

To the Editor: Zika virus (ZIKV) has been recognized as an emerging mosquito-borne flavivirus since outbreaks were reported from Yap Island in 2007 (1), French Polynesia in 2013 (2), and Cook Island and New Caledonia in 2014 (3). It has joined dengue virus (DENV) and chikungunya virus (CHIKV) as global public health threats (4). ZIKV infection typically causes a self-limited dengue-like illness characterized by exanthema, low-grade fever, conjunctivitis, and arthralgia, and an increase in rates of Guillain-Barre syndrome have been observed during ZIKV outbreaks (5). In Brazil, clusters of cases of acute exanthematous illness have been reported from various regions since late 2014, and in April 2015, ZIKV was identified as the etiologic agent (6). In May 2015, the Brazilian Ministry of Health recognized circulation of ZIKV in Brazil. We report epidemiologic findings for an ongoing outbreak of acute exanthematous illness in the population of Salvador, the third largest city in Brazil. The Salvador Epidemiologic Surveillance Office (ESO) was first alerted to cases of an acute exanthematous illness early in 2015. Reporting of cases increased during March, and in April the ESO established 10 public emergency health centers in Salvador as sentinel units for systematic surveillance of patients with acute exanthematous illness of unknown cause. The units searched retrospectively for suspected cases by review of medical charts of patients treated since February 15, continued with prospective case detection, and submitted weekly reports of identified cases to the ESO. During February 15−June 25, a total of 14,835 cases of an indeterminate acute exanthematous illness were reported from the 12 sanitary districts in Salvador. The overall attack rate was 5.5 cases/1,000 persons (4.6 cases/1,000 men and 6.3 cases/1,000 women, 8.2 cases/1,000 children 40 years of age). The epidemic curve peaked in the first week of May, which was 1 week after molecular diagnosis of ZIKV in 8 patients residing ≈50 km from Salvador and during a period of intense media coverage of the outbreak (Figure) (6). Reporting of suspected dengue cases in Salvador did not vary substantially from that in other years and was >5 times lower: 2,630 cases, of which 165/366 (45.1%) were positive for dengue IgM, 20/590 (3.4%) positive for dengue virus nonstructural protein 1, and 1/11 (9.1%) positive for dengue virus by reverse transcription PCR (Figure). During the same period, 58 cases of suspected chikungunya were reported and 24 patients with suspected Guillain-Barre syndrome were hospitalized. Figure Reported cases of indeterminate acute exanthematous illness and suspected dengue fever in Salvador, Brazil, by date of medical care, February 15−June 25, 2015. Letters indicate specific events. A) February 15: systematic reporting of cases of ... The median age of case-patients was 26 years (interquartile range 11–39 years), but all age groups were affected, which is a pattern typical of spread of new microorganisms (or subtypes) in a susceptible population. Median duration of symptoms at time of medical attention was 1 day (interquartile range 0–3 days). All patients had exanthema and most (12,711/14,093 [90.2%]) had pruritus. Fever (4,841/13,786, 35.1%), arthralgia (278/1,048 [26.5%]), headache (3,446/13,503 [25.6%]), and myalgia (223/1,033 [21.6%]) were less common. Serum samples from some patients were examined for rubella IgM (2/200, 1.0% positive), rubella IgG (15/18, 83.3% positive), measles IgM (0/11, 0% positive), dengue nonstructural protein 1 (3/185, 1.6% positive), dengue IgM (17/80, 21.3% positive), parvovirus B19 IgM (0/1, 0% positive), and parvovirus B19 IgG (1/1, 100% positive). Reverse transcription PCR was performed on 58 serum samples stored at −20°C and confirmed ZIKV in 3 (5.2%) samples, CHIKV in 3 (5.2%) samples, DENV type 3 in 1 (1.7%) sample, and DENV type 4 in 1 (1.7%) sample. Identification of ZIKV, CHIKV and DENV as etiologic agents of acute exanthematous illness suggests that these 3 Aedes spp. mosquito−transmitted viruses were co-circulating in Salvador and highlights the challenge in clinically differentiating these infections during outbreaks. Although we were not able to determine the specific incidence of each virus, the low frequency of fever and arthralgia, which are indicators of dengue and chikungunya, point to ZIKV as the probable cause of several of the reported cases. Furthermore, laboratory-confirmed cases of infection with ZIKV were simultaneously identified in other cities within metropolitan Salvador (6,7) and in other states in Brazil (8). Low diagnosis of ZIKV infection is likely because viremia levels among infected patients appear to be low (9). The spread of ZIKV represents an additional challenge for public health systems, particularly because of the risk for concurrent transmission of DENV and CHIKV by the same vectors, Ae. aegypti and Ae. albopictus mosquitoes, which are abundant throughout tropical and subtropical regions. To date, the largest outbreak of chikungunya in Brazil occurred in 2014 in Feira de Santana, Bahia, ≈100 km from Salvador, where dengue is also prevalent (10). This report illustrates the potential for explosive simultaneous outbreaks of ZIKV, CHIKV, and DENV in the Western Hemisphere and the increasing public health effects of Aedes spp. mosquitoes as vectors. The apparent increase in reports of Guillain-Barre syndrome during the outbreak deserves further investigation to elucidate whether this syndrome is associated with ZIKV infection. Public health authorities in Brazil and neighboring countries should plan accordingly.

Time Lags between Exanthematous Illness Attributed to Zika Virus, Guillain-Barré Syndrome, and Microcephaly, Salvador, Brazil.

There is strong evidence of a temporal relationship between virus infection in pregnant women and birth outcome.

Accuracy of Dengue Reporting by National Surveillance System, Brazil.

To the Editor: Dengue is an underreported disease globally. In 2010, the World Health Organization recorded 2.2 million dengue cases (1), but models projected that the number of symptomatic dengue cases might have been as high as 96 million (2). Brazil reports more cases of dengue than any other country (1); however, the degree of dengue underreporting in Brazil is unknown. We conducted a study to evaluate dengue underreporting by Brazil’s Notifiable Diseases Information System (Sistema de Informacao de Agravos de Notificacao [SINAN]). From January 1, 2009, through December 31, 2011, we performed enhanced surveillance for acute febrile illness (AFI) in a public emergency unit in Salvador, Brazil. The surveillance team enrolled outpatients >5 years of age with measured (>37.8°C) or reported fever. Patients or their legal guardians provided written consent. The study was approved by the Oswaldo Cruz Foundation Ethics Committee, Brazil’s National Council for Ethics in Research, and the Yale Institutional Review Board. We collected participants’ blood samples at study enrollment and >15 days later. Acute-phase serum samples were tested by dengue nonstructural protein 1 ELISA and IgM ELISA (Panbio Diagnostics, East Brisbane, Queensland, Australia). Convalescent-phase serum samples were tested by IgM ELISA. In concordance with case-reporting guidelines in Brazil (3), we defined dengue cases by a positive nonstructural protein 1 ELISA result or a positive acute-phase or convalescent-phase IgM ELISA result. All others were classified as nondengue AFI. We then identified which study patients were officially reported to SINAN as having a suspected case of dengue. In Brazil, notification of suspected dengue cases is mandatory. A suspected case is defined as illness in a person from an area of dengue transmission or Aedes aegypti mosquito infestation who has symptoms of dengue (fever of 2 of the following symptoms: nausea/vomiting, exanthema, myalgia, arthralgia, headache, retro-orbital pain, petechiae/positive tourniquet test, or leukopenia). We used Link Plus software (CDC-Link Plus Production 2.0; Centers for Disease Control and Prevention, Atlanta, GA, USA) to perform probabilistic record linkage from our database with official reports in the SINAN database. The records were matched based on the patients’ first names, last names, and dates of birth. We then manually reviewed the matches to confirm the pairs. On the basis of the results, we calculated the sensitivity, specificity, positive predictive value (PPV), and negative predictive value of the national surveillance system. We calculated accuracy measurements with 95% CIs for the overall study period and for each study year, age group (5–14 vs. >15 years), and seasonal prevalence of dengue (months of low vs. high dengue transmission, defined by dengue detection in 20% of the AFI patients, respectively). We estimated multiplication factors by dividing the number of dengue cases in our study by the number of study patients who were reported to SINAN as having dengue. Of the 3,864 AFI patients identified during the 3-year study period, 997 (25.8%) had laboratory evidence of dengue infection, and 2,867 (74.2%) were classified as having nondengue AFI. Of the 997 dengue cases, 57 were reported to SINAN (sensitivity 5.7%) (Table). Of the 2,867 nondengue AFI cases, 26 were reported to SINAN as dengue cases (false-positive ratio 0.9%, specificity 99.1%). None of these 26 cases had laboratory confirmation in the SINAN database. The PPV for reporting to SINAN was 68.7%, and the negative predictive value was 75.1% (Table). PPV was higher among patients >15 years of age, which might be attributable to atypical presentations of dengue in children (4,5). Table Accuracy of a national surveillance system for recording cases of suspected dengue among patients with acute febrile illness who visited an emergency health unit of Salvador, Brazil, January 1, 2009–December 31, 2011* We found that 1 in 4 patients with AFI had laboratory evidence of dengue infection. However, for every 20 dengue patients that we identified, only about 1 had been reported to SINAN as having dengue. During periods of low dengue transmission, only about 1 in 40 dengue cases identified was reported. Conversely, among the patients who were reported as having dengue, 31.2% did not have the disease; this percentage reached 61.5% in low-transmission periods. We estimated that overall, there were 12 dengue cases per reported case in the community, but in months of low dengue transmission, this ratio was >17:1 (Table). Comparable results have been observed in Nicaragua, Thailand, and Cambodia (6–8). By applying the estimated multiplication factor to the study period’s mean annual incidence of 303.8 reported dengue cases/100,000 Salvador residents (9), we estimated that the actual mean annual dengue incidence for Salvador was 3,645.7 cases/100,000 residents. We showed that dengue surveillance substantially underestimated disease burden in Brazil, especially in what are considered low-transmission periods. Dengue underreporting has been attributed to passive case detection, which fails to identify persons with dengue who do not seek health care (1). We also showed that surveillance failed to detect dengue cases among symptomatic patients seeking health care. Novel surveillance tools, such as active syndromic surveillance and point-of-care testing, should be applied to improve estimates of dengue incidence. Furthermore, given the recent emergence of chikungunya and Zika viruses in Brazil (10), improved surveillance and laboratory diagnostics are needed to avert misclassification and mismanagement of cases.

Spatial Distribution of Dengue in a Brazilian Urban Slum Setting: Role of Socioeconomic Gradient in Disease Risk

Background Few studies of dengue have shown group-level associations between demographic, socioeconomic, or geographic characteristics and the spatial distribution of dengue within small urban areas. This study aimed to examine whether specific characteristics of an urban slum community were associated with the risk of dengue disease. Methodology/Principal Findings From 01/2009 to 12/2010, we conducted enhanced, community-based surveillance in the only public emergency unit in a slum in Salvador, Brazil to identify acute febrile illness (AFI) patients with laboratory evidence of dengue infection. Patient households were geocoded within census tracts (CTs). Demographic, socioeconomic, and geographical data were obtained from the 2010 national census. Associations between CTs characteristics and the spatial risk of both dengue and non-dengue AFI were assessed by Poisson log-normal and conditional auto-regressive models (CAR). We identified 651 (22.0%) dengue cases among 2,962 AFI patients. Estimated risk of symptomatic dengue was 21.3 and 70.2 cases per 10,000 inhabitants in 2009 and 2010, respectively. All the four dengue serotypes were identified, but DENV2 predominated (DENV1: 8.1%; DENV2: 90.7%; DENV3: 0.4%; DENV4: 0.8%). Multivariable CAR regression analysis showed increased dengue risk in CTs with poorer inhabitants (RR: 1.02 for each percent increase in the frequency of families earning ≤1 times the minimum wage; 95% CI: 1.01-1.04), and decreased risk in CTs located farther from the health unit (RR: 0.87 for each 100 meter increase; 95% CI: 0.80-0.94). The same CTs characteristics were also associated with non-dengue AFI risk. Conclusions/Significance This study highlights the large burden of symptomatic dengue on individuals living in urban slums in Brazil. Lower neighborhood socioeconomic status was independently associated with increased risk of dengue, indicating that within slum communities with high levels of absolute poverty, factors associated with the social gradient influence dengue transmission. In addition, poor geographic access to health services may be a barrier to identifying both dengue and non-dengue AFI cases. Therefore, further spatial studies should account for this potential source of bias.

Unrecognized Emergence of Chikungunya Virus during a Zika Virus Outbreak in Salvador, Brazil

Background Chikungunya virus (CHIKV) entered Brazil in 2014, causing a large outbreak in Feira de Santana, state of Bahia. Although cases have been recorded in Salvador, the capital of Bahia, located ~100 km of Feira de Santana, CHIKV transmission has not been perceived to occur epidemically, largely contrasting with the Zika virus (ZIKV) outbreak and ensuing complications reaching the city in 2015. Methodology/Principal Findings This study aimed to determine the intensity of CHIKV transmission in Salvador between November 2014 and April 2016. Results of all the CHIKV laboratory tests performed in the public sector were obtained and the frequency of positivity was analyzed by epidemiological week. Of the 2,736 tests analyzed, 456 (16.7%) were positive. An increasing in the positivity rate was observed, starting in January/2015, and peaking at 68% in August, shortly after the exanthematous illness outbreak attributed to ZIKV. Conclusions/Significance Public health authorities and health professionals did not immediately detect the increase in CHIKV cases, likely because all the attention was directed to the ZIKV outbreak and ensuing complications. It is important that regions in the world that harbor arbovirus vectors and did not experience intense ZIKV and CHIKV transmission be prepared for the potential co-emergence of these two viruses.

Does immunity after Zika virus infection cross-protect against dengue?

Brazilian National Council for Scientific and Technological Development (grant 550160/2010-8 to MGR, grants 400830/2013-2 and 440891/2016-7

PANORAMA DOS CURSOS DE GRADUAÇÃO EM SAÚDE COLETIVA NO BRASIL ENTRE 2008 E 2014

A partir de 2008, criaram-se varios cursos de graduacao em saude coletiva no Brasil. Publicacoes previas descreveram processo de abertura, perfil dos alunos e experiencias vivenciadas por esses cursos. Apresentamos aqui um perfil geral dos cursos abertos entre 2008 e 2014. As informacoes foram obtidas por meio da Coordenacao do Forum de Graduacao em Saude Coletiva da Associacao Brasileira de Saude Coletiva e das paginas eletronicas institucionais dos cursos. No periodo estudado, houve expressiva expansao no numero de cursos de graduacao em saude coletiva no pais; a oferta de novas vagas cresceu seis vezes e formaram-se 285 bachareis em saude coletiva. No inicio de 2014, existiam 18 cursos em funcionamento (17 no setor publico), totalizando 2.532 estudantes matriculados. Se a formacao pos-graduada em saude coletiva predomina no Sudeste, os cursos de graduacao estao bem distribuidos no pais, ainda que seja necessaria maior expansao para responder as demandas do Sistema Unico de Saude. Embora as orientacoes formativas desses cursos sejam semelhantes, suas nomenclaturas exibem divergencias. Entre os desafios para maior consolidacao dos cursos de graduacao em saude coletiva como modalidade formativa estao as necessidades de diretrizes curriculares nacionais, manutencao da expansao dos cursos, reconhecimento profissional do egresso e maior incorporacao do bacharel em saude coletiva no mercado de trabalho.

PANORAMA DE LOS CURSOS DE PREGRADO EN SALUD COLECTIVA EN BRASIL ENTRE 2008 Y 2014

A partir de 2008, criaram-se varios cursos de graduacao em saude coletiva no Brasil. Publicacoes previas descreveram processo de abertura, perfil dos alunos e experiencias vivenciadas por esses cursos. Apresentamos aqui um perfil geral dos cursos abertos entre 2008 e 2014. As informacoes foram obtidas por meio da Coordenacao do Forum de Graduacao em Saude Coletiva da Associacao Brasileira de Saude Coletiva e das paginas eletronicas institucionais dos cursos. No periodo estudado, houve expressiva expansao no numero de cursos de graduacao em saude coletiva no pais; a oferta de novas vagas cresceu seis vezes e formaram-se 285 bachareis em saude coletiva. No inicio de 2014, existiam 18 cursos em funcionamento (17 no setor publico), totalizando 2.532 estudantes matriculados. Se a formacao pos-graduada em saude coletiva predomina no Sudeste, os cursos de graduacao estao bem distribuidos no pais, ainda que seja necessaria maior expansao para responder as demandas do Sistema Unico de Saude. Embora as orientacoes formativas desses cursos sejam semelhantes, suas nomenclaturas exibem divergencias. Entre os desafios para maior consolidacao dos cursos de graduacao em saude coletiva como modalidade formativa estao as necessidades de diretrizes curriculares nacionais, manutencao da expansao dos cursos, reconhecimento profissional do egresso e maior incorporacao do bacharel em saude coletiva no mercado de trabalho.

PANORAMA OF UNDERGRADUATE COLLECTIVE HEALTH COURSES IN BRAZIL BETWEEN 2008 AND 2014

A partir de 2008, criaram-se varios cursos de graduacao em saude coletiva no Brasil. Publicacoes previas descreveram processo de abertura, perfil dos alunos e experiencias vivenciadas por esses cursos. Apresentamos aqui um perfil geral dos cursos abertos entre 2008 e 2014. As informacoes foram obtidas por meio da Coordenacao do Forum de Graduacao em Saude Coletiva da Associacao Brasileira de Saude Coletiva e das paginas eletronicas institucionais dos cursos. No periodo estudado, houve expressiva expansao no numero de cursos de graduacao em saude coletiva no pais; a oferta de novas vagas cresceu seis vezes e formaram-se 285 bachareis em saude coletiva. No inicio de 2014, existiam 18 cursos em funcionamento (17 no setor publico), totalizando 2.532 estudantes matriculados. Se a formacao pos-graduada em saude coletiva predomina no Sudeste, os cursos de graduacao estao bem distribuidos no pais, ainda que seja necessaria maior expansao para responder as demandas do Sistema Unico de Saude. Embora as orientacoes formativas desses cursos sejam semelhantes, suas nomenclaturas exibem divergencias. Entre os desafios para maior consolidacao dos cursos de graduacao em saude coletiva como modalidade formativa estao as necessidades de diretrizes curriculares nacionais, manutencao da expansao dos cursos, reconhecimento profissional do egresso e maior incorporacao do bacharel em saude coletiva no mercado de trabalho.