Pestes, desenvolvimento e desigualdades / Pests, development and inequalities

Resumo O artigo discute questões sobre o futuro da humanidade ante as ameaças que rondam a saúde das populações, cujo impacto vem se exacerbando no curso das desigualdades em todas as partes do mundo, pari passu o desenvolvimento global no modelo hegemonizado a partir do século passado. A pandemia de COVID-19 foi tomada como um caso que bem ilustra essa dessintonia entre desenvolvimento e desigualdades. Formulam-se perguntas a serem postas em debate sobre a construção do futuro da sociedade mundial, com base na acepção sobre o caráter evolucional da vida no planeta vis-à-vis os males que acometem grandes contingentes populacionais e representam poderosos riscos para esse processo evolutivo. São indagações que apontam para a discussão em torno da participação social na definição e no controle das políticas públicas, em contrapartida à hegemonia dos interesses privados na formulação e execução dessas políticas, tanto nos cenários de cada país como no contexto internacional.

Abstract This article discusses questions concerning the future of humanity in the face of threats to the health of populations, whose impact has been exacerbated in the course of inequalities in all parts of the world, pari passu with global development in the hegemonized model since last century. The COVID-19 pandemic is a good example that illustrates this dissonance between development and inequalities. Questions were formulated to be debated about the construction of the future of world society, based on the understanding of the evolutionary character of life on the planet vis-à-vis the evils that affect large contingents of the population and represent powerful risks for this evolutionary process. These questions call attention to the discussion around social participation in the definition and control of public policies, as opposed to the hegemony of private interests in the formulation and execution of these policies, both in the scenarios of each country and in the international context.

Pests, development and inequalities. / Pestes, desenvolvimento e desigualdades.

This article discusses questions concerning the future of humanity in the face of threats to the health of populations, whose impact has been exacerbated in the course of inequalities in all parts of the world, pari passu with global development in the hegemonized model since last century. The COVID-19 pandemic is a good example that illustrates this dissonance between development and inequalities. Questions were formulated to be debated about the construction of the future of world society, based on the understanding of the evolutionary character of life on the planet vis-à-vis the evils that affect large contingents of the population and represent powerful risks for this evolutionary process. These questions call attention to the discussion around social participation in the definition and control of public policies, as opposed to the hegemony of private interests in the formulation and execution of these policies, both in the scenarios of each country and in the international context.

O artigo discute questões sobre o futuro da humanidade ante as ameaças que rondam a saúde das populações, cujo impacto vem se exacerbando no curso das desigualdades em todas as partes do mundo, pari passu o desenvolvimento global no modelo hegemonizado a partir do século passado. A pandemia de COVID-19 foi tomada como um caso que bem ilustra essa dessintonia entre desenvolvimento e desigualdades. Formulam-se perguntas a serem postas em debate sobre a construção do futuro da sociedade mundial, com base na acepção sobre o caráter evolucional da vida no planeta vis-à-vis os males que acometem grandes contingentes populacionais e representam poderosos riscos para esse processo evolutivo. São indagações que apontam para a discussão em torno da participação social na definição e no controle das políticas públicas, em contrapartida à hegemonia dos interesses privados na formulação e execução dessas políticas, tanto nos cenários de cada país como no contexto internacional.

Late relapses in leprosy patients in Brazil: 10-year post-trial of uniform multidrug therapy (U-MDT/CT-BR).

BACKGROUND: Leprosy is a neglected dermato-neurologic, infectious disease caused by Mycobacterium leprae or M. lepromatosis. Leprosy is treatable and curable by multidrug therapy/MDT, consisting of 12 months rifampicin, dapsone and clofazimine for multibacillary/MB patients and for 6 months for paucibacillary/PB patients. The relapse rate is considered a crucial treatment outcome. A randomized Controlled Clinical Trial (U-MDT/CT-BR) conducted from 2007‒2012 compared clinical outcomes in MB patients after 12 months regular MDT/R-MDT and 6 months uniform MDT/U-MDT in two highly endemic Brazilian areas. OBJECTIVES: To estimate the 10 years relapse rate of MB patients treated with 6 months U-MDT. METHODS: The statistical analyses treated the data as a case-control study, sampled from the cohort generated for the randomized trial. Analyses estimated univariate odds ratio and applied logistic regression for multivariate analysis, controlling the confounding variables. RESULTS: The overall relapse rate was 4.08 %: 4.95 % (16 out of 323) in the U-MDT group and 3.10 % (9 out of 290) in the regular/R-MDT group. The difference in relapse proportion between U-MDT and R-MDT groups was 1.85 %, not statistically significant (Odds Ratio = 1.63, 95 % CI 0.71 to 3.74). However, misdiagnosis of relapses, may have introduced bias, underestimating the force of the association represented by the odds ratio. CONCLUSIONS: The relapse estimate of 10 years follow-up study of the first randomized, controlled study on U-MDT/CT-BR was similar to the R-MDT group, supporting strong evidence that 6 months U-MDT for MB patients is an acceptable option to be adopted by leprosy endemic countries worldwide. TRIAL REGISTRATION: ClinicalTrials.gov: NCT00669643.

Monkeypox: What the Dermatologist Needs to Know.

Monkeypox, an endemic disease in some African countries, has provoked public health activeness on a global scale that even the World Health Organization (WHO), invoking international health regulations, declared it a public health emergency of international concern (PHEIC). The WHO called attention of member states to exert maximum surveillance over the disease, its patients, and contact persons in order to standardize control measures. A need was directed to provide complete knowledge about the disease, allowing the administration of prior diagnoses as well as isolation and more effective epidemiologic control measures. An updated review on monkeypox emphasized upon having the fundamental aspects of the lesions caused by the disease, and appropriate management of patients upon clinical and epidemiologic evaluation.

Combining Digital and Molecular Approaches Using Health and Alternate Data Sources in a Next-Generation Surveillance System for Anticipating Outbreaks of Pandemic Potential.

Globally, millions of lives are impacted every year by infectious diseases outbreaks. Comprehensive and innovative surveillance strategies aiming at early alert and timely containment of emerging and reemerging pathogens are a pressing priority. Shortcomings and delays in current pathogen surveillance practices further disturbed informing responses, interventions, and mitigation of recent pandemics, including H1N1 influenza and SARS-CoV-2. We present the design principles of the architecture for an early-alert surveillance system that leverages the vast available data landscape, including syndromic data from primary health care, drug sales, and rumors from the lay media and social media to identify areas with an increased number of cases of respiratory disease. In these potentially affected areas, an intensive and fast sample collection and advanced high-throughput genome sequencing analyses would inform on circulating known or novel pathogens by metagenomics-enabled pathogen characterization. Concurrently, the integration of bioclimatic and socioeconomic data, as well as transportation and mobility network data, into a data analytics platform, coupled with advanced mathematical modeling using artificial intelligence or machine learning, will enable more accurate estimation of outbreak spread risk. Such an approach aims to readily identify and characterize regions in the early stages of an outbreak development, as well as model risk and patterns of spread, informing targeted mitigation and control measures. A fully operational system must integrate diverse and robust data streams to translate data into actionable intelligence and actions, ultimately paving the way toward constructing next-generation surveillance systems.

Late relapses in leprosy patients in Brazil: 10-year post-trial of uniform multidrug therapy (U-MDT/CT-BR)

ABSTRACT Background: Leprosy is a neglected dermato-neurologic, infectious disease caused by Mycobacterium leprae or M. lepromatosis. Leprosy is treatable and curable by multidrug therapy/MDT, consisting of 12 months rifampicin, dapsone and clofazimine for multibacillary/MB patients and for 6 months for paucibacillary/PB patients. The relapse rate is considered a crucial treatment outcome. A randomized Controlled Clinical Trial (U-MDT/CT-BR) conducted from 2007‒2012 compared clinical outcomes in MB patients after 12 months regular MDT/R-MDT and 6 months uniform MDT/U-MDT in two highly endemic Brazilian areas. Objectives: To estimate the 10 years relapse rate of MB patients treated with 6 months U-MDT. Methods: The statistical analyses treated the data as a case-control study, sampled from the cohort generated for the randomized trial. Analyses estimated univariate odds ratio and applied logistic regression for multivariate analysis, controlling the confounding variables. Results: The overall relapse rate was 4.08 %: 4.95 % (16 out of 323) in the U-MDT group and 3.10 % (9 out of 290) in the regular/R-MDT group. The difference in relapse proportion between U-MDT and R-MDT groups was 1.85 %, not statistically significant (Odds Ratio = 1.63, 95 % CI 0.71 to 3.74). However, misdiagnosis of relapses, may have introduced bias, underestimating the force of the association represented by the odds ratio. Conclusions: The relapse estimate of 10 years follow-up study of the first randomized, controlled study on U-MDT/CT-BR was similar to the R-MDT group, supporting strong evidence that 6 months U-MDT for MB patients is an acceptable option to be adopted by leprosy endemic countries worldwide. Trial registration: ClinicalTrials.gov: NCT00669643.

Early detection of respiratory disease outbreaks through primary healthcare data.

Background: The emergence of coronavirus disease 2019 (COVID-19) in 2020 highlighted the relevance of surveillance systems in detecting early signs of potential outbreaks, thus enabling public health authorities to act before the pathogen becomes widespread. Syndromic digital surveillance through web applications has played a crucial role in monitoring the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. However, this approach requires expensive infrastructure, which is not available in developing countries. Pre-existing sources of information, such as encounters in primary health care (PHC), can provide valuable data for a syndromic surveillance system. Here we evaluated the utility of PHC data to identify early warning signals of the first COVID-19 outbreak in Bahia-Brazil in 2020. Methods: We compared the weekly counts of PHC encounters due to respiratory complaints and the number of COVID-19 cases in 2020 in Bahia State - Brazil. We used the data from December 2016 to December 2019 to predict the expected number of encounters in 2020. We analysed data aggregated by geographic regions (n = 34) and included those where historical PHC data was available for at least 70% of the population. Results: Twenty-one out of 34 regions met the inclusion criteria. We observed that notification of COVID-19 cases was preceded by at least two weeks with an excess of encounters of respiratory complaints in 18/21 (86%) of the regions analysed and four weeks or more in 10/21 (48%) regions. Conclusions: Digital syndromic surveillance systems based on already established PHC databases may add time to preparedness and response to emerging epidemics.

Factors associated with COVID-19 vaccination among pregnant women in Rio De Janeiro City, Brazil.

COVID-19 vaccination during pregnancy is safe and effective in reducing the risk of complications. However, the uptake is still below targets worldwide. This study aimed to explore the factors associated with COVID-19 vaccination uptake among pregnant women since data on this topic is scarce in low-to-middle-income countries. A retrospective cohort study included linked data on COVID-19 vaccination and pregnant women who delivered a singleton live birth from August 1, 2021, to July 31, 2022, in Rio de Janeiro City, Brazil. Multiple logistic regression was performed to identify factors associated with vaccination during pregnancy, applying a hierarchical model and describing odds ratio with 95% confidence intervals. Of 65,304 pregnant women included in the study, 53.0% (95% CI, 52-53%) received at least one dose of COVID-19 vaccine during pregnancy. Higher uptake was observed among women aged older than 34 (aOR 1.21, 95%CI 1.15-1.28), black (aOR 1.10, 1.04-1.16), or parda/brown skin colour (aOR 1.05, 1.01-1.09), with less than eight years of education (aOR 1.09, 1.02-1.17), living without a partner (aOR 2.24, 2.16-2.34), more than six antenatal care appointments (aOR 1.92, 1.75-2.09), and having a previous child loss (OR 1.06, 1.02-1.11). These results highlight the need for targeted educational campaigns, trustful communication, and accessibility strategies for specific populations to improve vaccination uptake during pregnancy.

Safety of BNT162b2 and CoronaVac during pregnancy on birth outcomes and neonatal mortality: a cohort study from Brazil.

BACKGROUND: COVID-19 vaccines have been shown to protect pregnant individuals against mild and severe COVID-19 outcomes. However, limited safety data are available for inactivated (CoronaVac) and mRNA (BNT162b2) vaccines during pregnancy regarding their effect on birth outcomes and neonatal mortality, especially in low- and middle-income countries. METHODS: We conducted a retrospective population-based cohort study in Rio de Janeiro, Brazil, with 17 513 singleton live births conceived between 15 May 2021 and 23 October 2021. The primary exposure was maternal vaccination with CoronaVac or mRNA BNT162b2 vaccines and sub-analyses were performed by the gestational trimester of the first dose and the number of doses given during pregnancy. The outcomes were pre-term birth (PTB), small for gestational age (SGA), low birthweight (LBW), low Apgar 5 and neonatal death. We used the Cox model to estimate the hazard ratio (HR) with a 95% CI and applied the inverse probability of treatment weights to generate adjusted HRs. RESULTS: We found no significant increase in the risk of PTB (HR: 0.98; 95% CI 0.88, 1.10), SGA (HR: 1.09; 95% CI 0.96, 1.27), LBW (HR: 1.00; 95% CI 0.88, 1.14), low Apgar 5 (HR: 0.81; 95% CI 0.55, 1.22) or neonatal death (HR: 0.88; 95% CI 0.56, 1.48) in women vaccinated with CoronaVac or BNT162b2 vaccines. These findings were consistent across sub-analyses stratified by the gestational trimester of the first dose and the number of doses given during pregnancy. We found mild yet consistent protection against PTB in women who received different vaccine platforms during the third trimester of pregnancy (any vaccines, HR: 0.78; 95% CI 0.63, 0.98; BNT162b2, HR: 0.75; 95% CI 0.59, 0.99). CONCLUSIONS: This study provides evidence that COVID-19 vaccination in all trimesters of pregnancy, irrespective of the vaccine type, is safe and does not increase the risk of adverse birth outcomes or neonatal deaths.

Prediction of the occurrence of leprosy reactions based on Bayesian networks.

Introduction: Leprosy reactions (LR) are severe episodes of intense activation of the host inflammatory response of uncertain etiology, today the leading cause of permanent nerve damage in leprosy patients. Several genetic and non-genetic risk factors for LR have been described; however, there are limited attempts to combine this information to estimate the risk of a leprosy patient developing LR. Here we present an artificial intelligence (AI)-based system that can assess LR risk using clinical, demographic, and genetic data. Methods: The study includes four datasets from different regions of Brazil, totalizing 1,450 leprosy patients followed prospectively for at least 2 years to assess the occurrence of LR. Data mining using WEKA software was performed following a two-step protocol to select the variables included in the AI system, based on Bayesian Networks, and developed using the NETICA software. Results: Analysis of the complete database resulted in a system able to estimate LR risk with 82.7% accuracy, 79.3% sensitivity, and 86.2% specificity. When using only databases for which host genetic information associated with LR was included, the performance increased to 87.7% accuracy, 85.7% sensitivity, and 89.4% specificity. Conclusion: We produced an easy-to-use, online, free-access system that identifies leprosy patients at risk of developing LR. Risk assessment of LR for individual patients may detect candidates for close monitoring, with a potentially positive impact on the prevention of permanent disabilities, the quality of life of the patients, and upon leprosy control programs.

Effectiveness of mRNA boosters after homologous primary series with BNT162b2 or ChAdOx1 against symptomatic infection and severe COVID-19 in Brazil and Scotland: A test-negative design case-control study.

BACKGROUND: Brazil and Scotland have used mRNA boosters in their respective populations since September 2021, with Omicron's emergence accelerating their booster program. Despite this, both countries have reported substantial recent increases in Coronavirus Disease 2019 (COVID-19) cases. The duration of the protection conferred by the booster dose against symptomatic Omicron cases and severe outcomes is unclear. METHODS AND FINDINGS: Using a test-negative design, we analyzed national databases to estimate the vaccine effectiveness (VE) of a primary series (with ChAdOx1 or BNT162b2) plus an mRNA vaccine booster (with BNT162b2 or mRNA-1273) against symptomatic Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) infection and severe COVID-19 outcomes (hospitalization or death) during the period of Omicron dominance in Brazil and Scotland compared to unvaccinated individuals. Additional analyses included stratification by age group (18 to 49, 50 to 64, ≥65). All individuals aged 18 years or older who reported acute respiratory illness symptoms and tested for SARS-CoV-2 infection between January 1, 2022, and April 23, 2022, in Brazil and Scotland were eligible for the study. At 14 to 29 days after the mRNA booster, the VE against symptomatic SARS-CoV-2 infection of ChAdOx1 plus BNT162b2 booster was 51.6%, (95% confidence interval (CI): [51.0, 52.2], p < 0.001) in Brazil and 67.1% (95% CI [65.5, 68.5], p < 0.001) in Scotland. At ≥4 months, protection against symptomatic infection waned to 4.2% (95% CI [0.7, 7.6], p = 0.02) in Brazil and 37.4% (95% CI [33.8, 40.9], p < 0.001) in Scotland. VE against severe outcomes in Brazil was 93.5% (95% CI [93.0, 94.0], p < 0.001) at 14 to 29 days post-booster, decreasing to 82.3% (95% CI [79.7, 84.7], p < 0.001) and 98.3% (95% CI [87.3, 99.8], p < 0.001) to 77.8% (95% CI [51.4, 89.9], p < 0.001) in Scotland for the same periods. Similar results were obtained with the primary series of BNT162b2 plus homologous booster. Potential limitations of this study were that we assumed that all cases included in the analysis were due to the Omicron variant based on the period of dominance and the limited follow-up time since the booster dose. CONCLUSIONS: We observed that mRNA boosters after a primary vaccination course with either mRNA or viral-vector vaccines provided modest, short-lived protection against symptomatic infection with Omicron but substantial and more sustained protection against severe COVID-19 outcomes for at least 3 months.

Prediction of the occurrence of leprosy reactions based on Bayesian networks

Introduction: Leprosy reactions (LR) are severe episodes of intense activation of the host inflammatory response of uncertain etiology, today the leading cause of permanent nerve damage in leprosy patients. Several genetic and non-genetic risk factors for LR have been described; however, there are limited attempts to combine this information to estimate the risk of a leprosy patient developing LR. Here we present an artificial intelligence (AI)-based system that can assess LR risk using clinical, demographic, and genetic data. Methods: The study includes four datasets from different regions of Brazil, totalizing 1,450 leprosy patients followed prospectively for at least 2 years to assess the occurrence of LR. Data mining using WEKA software was performed following a two-step protocol to select the variables included in the AI system, based on Bayesian Networks, and developed using the NETICA software. Results: Analysis of the complete database resulted in a system able to estimate LR risk with 82.7% accuracy, 79.3% sensitivity, and 86.2% specificity. When using only databases for which host genetic information associated with LR was included, the performance increased to 87.7% accuracy, 85.7% sensitivity, and 89.4% specificity. Conclusion: We produced an easy-to-use, online, free-access system that identifies leprosy patients at risk of developing LR. Risk assessment of LR for individual patients may detect candidates for close monitoring, with a potentially positive impact on the prevention of permanent disabilities, the quality of life of the patients, and upon leprosy control programs.

Seroepidemiology of SARS-CoV-2 on a partially vaccinated island in Brazil: Determinants of infection and vaccine response.

Background: A vaccination campaign targeted adults in response to the pandemic in the City of Rio de Janeiro. Objective: We aimed to evaluate the seroprevalence of SARS-CoV-2 antibodies and identify factors associated with seropositivity on vaccinated and unvaccinated residents. Methods: We performed a seroepidemiologic survey in all residents of Paquetá Island, a neighborhood of Rio de Janeiro city, during the COVID-19 vaccine roll-out. Serological tests were performed from June 16 to June 19, 2021, and adjusted seropositivity rates were estimated by age and epidemiological variables. Logistic regression models were used to estimate adjusted ORs for risk factors to SARS-CoV-2 seropositivity in non-vaccinated individuals, and potential determinants of the magnitude of antibody responses in the seropositive population. Results: We included in the study 3,016 residents of Paquetá (83.5% of the island population). The crude seroprevalence of COVID-19 antibodies in our sample was 53.6% (95% CI = 51.0, 56.3). The risk factors for SARS-CoV-2 seropositivity in non-vaccinated individuals were history of confirmed previous COVID-19 infection (OR = 4.74; 95% CI = 3.3, 7.0), being a household contact of a case (OR = 1.93; 95% CI = 1.5, 2.6) and in-person learning (OR = 2.01; 95% CI = 1.4, 3.0). Potential determinants of the magnitude of antibody responses among the seropositive were hybrid immunity, the type of vaccine received, and time since the last vaccine dose. Being vaccinated with Pfizer or AstraZeneca (Beta = 2.2; 95% CI = 1.8, 2.6) determined higher antibody titers than those observed with CoronaVac (Beta = 1.2; 95% CI = 0.9, 1.5). Conclusions: Our study highlights the impact of vaccination on COVID-19 collective immunity even in a highly affected population, showing the difference in antibody titers achieved with different vaccines and how they wane with time, reinforcing how these factors should be considered when estimating effectiveness of a vaccination program at any given time. We also found that hybrid immunity was superior to both infection-induced and vaccine-induced immunity alone, and online learning protected students from COVID-19 exposure.

Vaccine effectiveness of two-dose BNT162b2 against symptomatic and severe COVID-19 among adolescents in Brazil and Scotland over time: a test-negative case-control study.

BACKGROUND: Little is known about vaccine effectiveness over time among adolescents, especially against the SARS-CoV-2 omicron (B.1.1.529) variant. This study assessed the associations between time since two-dose vaccination with BNT162b2 and the occurrence of symptomatic SARS-CoV-2 infection and severe COVID-19 among adolescents in Brazil and Scotland. METHODS: We did test-negative, case-control studies in adolescents aged 12-17 years with COVID-19-related symptoms in Brazil and Scotland. We linked records of SARS-CoV-2 RT-PCR and antigen tests to national vaccination and clinical records. We excluded tests from individuals who did not have symptoms, were vaccinated before the start of the national vaccination programme, received vaccines other than BNT162b2 or a SARS-CoV-2 booster dose of any kind, or had an interval between their first and second dose of fewer than 21 days. Additionally, we excluded negative SARS-CoV-2 tests recorded within 14 days of a previous negative test, negative tests recorded within 7 days after a positive test, any test done within 90 days after a positive test, and tests with missing sex and location information. Cases (SARS-CoV-2 test-positive adolescents) and controls (test-negative adolescents) were drawn from a sample of individuals in whom tests were collected within 10 days of symptom onset. We estimated the adjusted odds ratio and vaccine effectiveness against symptomatic COVID-19 for both countries and against severe COVID-19 (hospitalisation or death) for Brazil across fortnightly periods. FINDINGS: We analysed 503 776 tests from 2 948 538 adolescents in Brazil between Sept 2, 2021, and April 19, 2022, and 127 168 tests from 404 673 adolescents in Scotland between Aug 6, 2021, and April 19, 2022. Vaccine effectiveness peaked at 14-27 days after the second dose in both countries during both waves, and was significantly lower against symptomatic infection during the omicron-dominant period in Brazil (64·7% [95% CI 63·0-66·3]) and in Scotland (82·6% [80·6-84·5]), than it was in the delta-dominant period (80·7% [95% CI 77·8-83·3] in Brazil and 92·8% [85·7-96·4] in Scotland). Vaccine efficacy started to decline from 27 days after the second dose for both countries, reducing to 5·9% (95% CI 2·2-9·4) in Brazil and 50·6% (42·7-57·4) in Scotland at 98 days or more during the omicron-dominant period. In Brazil, protection against severe disease remained above 80% from 28 days after the second dose and was 82·7% (95% CI 68·8-90·4) at 98 days or more after receiving the second dose. INTERPRETATION: We found waning vaccine protection of BNT162b2 against symptomatic COVID-19 infection among adolescents in Brazil and Scotland from 27 days after the second dose. However, protection against severe COVID-19 outcomes remained high at 98 days or more after the second dose in the omicron-dominant period. Booster doses for adolescents need to be considered. FUNDING: UK Research and Innovation (Medical Research Council), Scottish Government, Health Data Research UK BREATHE Hub, Fiocruz, Fazer o Bem Faz Bem programme, Brazilian National Research Council, and Wellcome Trust. TRANSLATION: For the Portuguese translation of the abstract see Supplementary Materials section.

Vaccine effectiveness of CoronaVac against COVID-19 among children in Brazil during the Omicron period.

Although severe COVID-19 in children is rare, they may develop multisystem inflammatory syndrome, long-COVID and downstream effects of COVID-19, including social isolation and disruption of education. Data on the effectiveness of the CoronaVac vaccine is scarce during the Omicron period. In Brazil, children between 6 to 11 years are eligible to receive the CoronaVac vaccine. We conducted a test-negative design to estimate vaccine effectiveness using 197,958 tests from January 21, 2022, to April 15, 2022, during the Omicron dominant period in Brazil among children aged 6 to 11 years. The estimated vaccine effectiveness for symptomatic infection was 39.8% (95% CI 33.7-45.4) at ≥14 days post-second dose. For hospital admission vaccine effectiveness was 59.2% (95% CI 11.3-84.5) at ≥14 days. Two doses of CoronaVac in children during the Omicron period showed low levels of protection against symptomatic infection, and modest levels against severe illness.

Duration of protection of CoronaVac plus heterologous BNT162b2 booster in the Omicron period in Brazil.

To date, no information has been published on the effectiveness of inactivated whole-virus COVID-19 vaccines plus heterologous booster against symptomatic infection and severe outcomes (hospitalization or death) during the dominance of the SARS-CoV-2 Omicron variant period. We evaluated the vaccine effectiveness (VE) of CoronaVac plus BNT162b2 booster during the period of dominance of the Omicron variant in Brazil (January to April 2022). Using a test-negative design, we analysed data for 2,471,576 individuals tested during the Omicron variant's dominant period using a nationally linked database from Brazil. Compared to unvaccinated, vaccinees maintained protection against severe outcomes, with an estimated VE of 84.1% (95% CI:83.2-84.9) at more than 120 days after BNT162b2 booster. Furthermore, while we detected a high level of protection against severe outcomes for individuals up to 79 years old, waning was observed for individuals aged ≥80 years, with VE decreasing from 81.3% (95% CI:77.9-84.2) at 31-60 days to 72.9% (95% CI:70.6-75.1) at 120 days or more after the booster dose. However, no significant protection against symptomatic infection was observed at this time period. In conclusion, except for individuals aged ≥80 years, CoronaVac plus a BNT162b2 booster dose offered high and durable protection against severe outcomes due to Omicron.

National Health Survey reveals high percentage of signs and symptoms of leprosy in Brazil. / Pesquisa Nacional de Saúde revela alto percentual de sinais e sintomas de hanseníase no Brasil.

Leprosy is a debilitating, infectious, systemic or localized dermato-neurological disease caused by Mycobacterium lepra. In Brazil, the magnitude and high disabling power keep the disease as a public health problem. Skin spotting and numbness are pathognomonic signs and symptoms in leprosy. The Instituto Brasileiro de Geografia e Estatística (IBGE) 2019 National Health Survey (PNS-2019) considered the following question as a proxy to estimate its magnitude in the country. "Do you have a spot with numbness or part of the skin with numbness?". In Brazil, 1,921,289 adults reported having a patch or part of the skin with numbness, with no regional differences. As for the age group, the older, the higher the prevalence, for example, between 18 to 29 years old (235,445) and 30 to 39 years old (236,485), 0.7% had the condition, between 40 to 59 years old (827,887), 1.5% and among the elderly, 1.8% (621,472). Being able to estimate, in population-based surveys, with statistical representativeness, a reported morbidity such as leprosy is essential to support the formulation of public policies, notably those related to primary health care actions. In this way, the IBGE fulfills its constitutional role of portraying the reality of the Brazilian population and today it is the main external evaluator of the Unified Health System (SUS) and of public policies developed by the federal level.

A hanseníase é uma doença dermato-neurológica, infecciosa, sistêmica ou localizada, debilitante, causada por Mycobacterium leprae. No Brasil, a magnitude e o alto poder incapacitante mantêm a doença como um problema de saúde pública. Mancha na pele e dormência são sinais e sintomas patognomônicos na hanseníase. A Pesquisa Nacional de Saúde de 2019 (PNS-2019), do Instituto Brasileiro de Geografia e Estatística (IBGE), considerou a seguinte pergunta como proxy para estimar sua magnitude no país. "O(a) sr(a). tem mancha com dormência ou parte da pele com dormência?". No Brasil, 1.921.289 adultos referiram ter mancha ou parte da pele com dormência, sem diferenças regionais. Com relação ao grupo etário, quanto mais velho, maior a prevalência. Por exemplo, entre os de 18 a 29 anos (235.445) e de 30 a 39 anos (236.485), 0,7% possuía a condição, entre 40 e 59 anos (827.887), 1,5%, e entre os idosos, 1,8% (621.472). Poder estimar, em pesquisas de base populacional, com representatividade estatística, uma morbidade referida tal como a hanseníase é fundamental para apoiar a formulação de políticas públicas, notadamente as relativas às ações da atenção primária à saúde. Dessa forma, o IBGE cumpre seu papel constitucional de retratar a realidade da população brasileira e hoje é o principal avaliador externo do Sistema Único de Saúde (SUS) e das políticas públicas instituídas no âmbito federal.

Pesquisa Nacional de Saúde revela alto percentual de sinais e sintomas de hanseníase no Brasil / National Health Survey reveals high percentage of signs and symptoms of leprosy in Brazil

Resumo A hanseníase é uma doença dermato-neurológica, infecciosa, sistêmica ou localizada, debilitante, causada por Mycobacterium leprae. No Brasil, a magnitude e o alto poder incapacitante mantêm a doença como um problema de saúde pública. Mancha na pele e dormência são sinais e sintomas patognomônicos na hanseníase. A Pesquisa Nacional de Saúde de 2019 (PNS-2019), do Instituto Brasileiro de Geografia e Estatística (IBGE), considerou a seguinte pergunta como proxy para estimar sua magnitude no país. "O(a) sr(a). tem mancha com dormência ou parte da pele com dormência?". No Brasil, 1.921.289 adultos referiram ter mancha ou parte da pele com dormência, sem diferenças regionais. Com relação ao grupo etário, quanto mais velho, maior a prevalência. Por exemplo, entre os de 18 a 29 anos (235.445) e de 30 a 39 anos (236.485), 0,7% possuía a condição, entre 40 e 59 anos (827.887), 1,5%, e entre os idosos, 1,8% (621.472). Poder estimar, em pesquisas de base populacional, com representatividade estatística, uma morbidade referida tal como a hanseníase é fundamental para apoiar a formulação de políticas públicas, notadamente as relativas às ações da atenção primária à saúde. Dessa forma, o IBGE cumpre seu papel constitucional de retratar a realidade da população brasileira e hoje é o principal avaliador externo do Sistema Único de Saúde (SUS) e das políticas públicas instituídas no âmbito federal.

Abstract Leprosy is a debilitating, infectious, systemic or localized dermato-neurological disease caused by Mycobacterium lepra. In Brazil, the magnitude and high disabling power keep the disease as a public health problem. Skin spotting and numbness are pathognomonic signs and symptoms in leprosy. The Instituto Brasileiro de Geografia e Estatística (IBGE) 2019 National Health Survey (PNS-2019) considered the following question as a proxy to estimate its magnitude in the country. "Do you have a spot with numbness or part of the skin with numbness?". In Brazil, 1,921,289 adults reported having a patch or part of the skin with numbness, with no regional differences. As for the age group, the older, the higher the prevalence, for example, between 18 to 29 years old (235,445) and 30 to 39 years old (236,485), 0.7% had the condition, between 40 to 59 years old (827,887), 1.5% and among the elderly, 1.8% (621,472). Being able to estimate, in population-based surveys, with statistical representativeness, a reported morbidity such as leprosy is essential to support the formulation of public policies, notably those related to primary health care actions. In this way, the IBGE fulfills its constitutional role of portraying the reality of the Brazilian population and today it is the main external evaluator of the Unified Health System (SUS) and of public policies developed by the federal level.