Abstract: Since May 2020, we have been conducting a comprehensive study to understand the natural history of SARS-CoV-2 infection in Rio de Janeiro, Brazil. Our focus has been on following families, systematically collecting respiratory tract swabs and blood samples, monitoring symptoms, and gathering data on vaccine status. This paper aims to describe the household cohort across five epidemic waves of SARS-CoV-2, providing an overview of the collected data and a description of the epidemiological, clinical, and immunological characteristics and incidence of SARS-CoV-2 infection. Our cohort includes 691 participants from 189 households. During the five epidemic waves, we detected 606 infections. The incidence density of SARS-CoV-2 infection ranged from 4 (Delta) to 56 (B.1.1.33) per 1,000 person-week, with a peak in wave B.1.1.33 in all age groups. The seroprevalence of SARS-CoV-2 antibodies (IgG anti spike protein) varied from 37%, in the pre-VoC period, to 99%, in the Omicron period, progressively increasing after each wave in a similar manner regardless of age. As we have monitored the cohort continuously since the beginning of the pandemic, we were able to collect data across different scenarios according to the predominant lineage in circulation. Via active monitoring of families, we were able to carry out an epidemiological surveillance on SARS-CoV-2, including its variants, persistence of symptoms, and changes in immunity over time in the population, contributing to knowledge of the natural history of SARS-CoV-2 infection. Abstract 2020 SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- Janeiro Brazil families samples symptoms status SARSCoV2, 2, clinical 69 18 households 60 infections Delta (Delta 5 B1133 B 1 33 (B.1.1.33 1000 000 1,00 personweek, personweek person week, week person-week B.1.1.3 groups IgG protein 37 37% preVoC pre VoC period 99 99% pandemic circulation variants population 202 SARS-CoV 6 B113 3 (B.1.1.3 100 00 1,0 B.1.1. 9 20 B11 (B.1.1. 10 0 1, B.1.1 B1 (B.1.1 B.1. (B.1. B.1 (B.1 B. (B. (B

Resumo: Desde maio de 2020, temos conduzido um estudo abrangente para entender a história natural da infecção por SARS-CoV-2 no Rio de Janeiro, Brasil. Nosso foco tem sido acompanhar as famílias das quais coletamos sistematicamente amostras de sangue e do trato respiratório, monitoramos os sintomas e reunimos dados sobre o status de vacinação. Este artigo tem como objetivo descrever a coorte de domicílios ao longo de cinco ondas epidêmicas de SARS-CoV-2, fornecendo uma visão geral dos dados coletados e uma descrição das características epidemiológicas, clínicas e imunológicas e da incidência da infecção por SARS-CoV-2. Nossa coorte inclui 691 participantes de 189 domicílios. Ao longo das cinco ondas epidêmicas, detectamos 606 infecções. A densidade de incidência da infecção por SARS-CoV-2 variou de 4 (Delta) a 56 (B.1.1.33) a cada 1.000 pessoas por semana e foi mais alta na onda B.1.1.33 em todas as faixas etárias. A soroprevalência de anticorpos contra o SARS-CoV-2 (proteína IgG anti-spike) variou de 37% no período pré-VoC a 99% no período Omicron e aumentou onda após onda de maneira semelhante, independentemente da idade dos participantes. Como monitoramos a coorte continuamente desde o início da pandemia, pudemos coletar dados em diferentes cenários, de acordo com a cepa predominante em circulação. Por meio do monitoramento ativo das famílias, conseguimos conduzir uma vigilância epidemiológica do SARS-CoV-2, de suas variantes, da persistência dos sintomas e das mudanças na imunidade da população ao longo do tempo, contribuindo para o conhecimento da história natural da infecção pelo SARS-CoV-2. Resumo 2020 SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- Janeiro Brasil respiratório vacinação SARSCoV2, 2, epidemiológicas SARSCoV2. 2. 69 18 60 infecções Delta (Delta 5 B1133 B 1 33 (B.1.1.33 1000 000 1.00 B.1.1.3 etárias proteína antispike anti spike anti-spike 37 préVoC pré VoC 99 semelhante pandemia cenários circulação variantes tempo 202 SARS-CoV 6 B113 3 (B.1.1.3 100 00 1.0 B.1.1. 9 20 B11 (B.1.1. 10 0 1. B.1.1 B1 (B.1.1 B.1. (B.1. B.1 (B.1 B. (B. (B

Resumen: Desde mayo de 2020 se realiza un estudio exhaustivo con el fin de estimar el curso natural de la infección por SARS-CoV-2 en Río de Janeiro, Brasil. Se aplica un seguimiento a las familias en el cual se recolectan sistemáticamente muestras de sangre y de las vías respiratorias, se controlan los síntomas y se recogen datos sobre el estado de vacunación. Este artículo tiene como objetivo describir la cohorte de hogares durante cinco olas epidémicas de SARS-CoV-2, y proporcionar una visión general de los datos recopilados y una descripción de las características epidemiológicas, clínicas e inmunológicas, y de la incidencia de la infección por SARS-CoV-2. La cohorte incluyó a 691 participantes de 189 hogares. A lo largo de las cinco olas epidémicas, se detectaron 606 infecciones. La densidad de incidencia de la infección por SARS-CoV-2 varió de 4 (Delta) a 56 (B.1.1.33) por cada 1.000 personas por semana, y fue más alta en la ola B.1.1.33 en todos los grupos de edad. La seroprevalencia de anticuerpos contra el SARS-CoV-2 (proteína IgG antipico) varió del 37% en el período anti-VOC al 99% en el período Ómicron y aumentó ola tras ola de manera similar, independientemente de la edad de los participantes. El monitoreo continuo de la cohorte desde el comienzo de la pandemia permitió recopilar datos en diferentes escenarios según la cepa predominante en circulación. A partir del monitoreo activo de las familias, se realizó una vigilancia epidemiológica del SARS-CoV-2, sus variantes, la persistencia de los síntomas y los cambios en la inmunidad de la población a lo largo del tiempo, contribuyendo al conocimiento del curso natural de la infección por SARS-CoV-2. Resumen 202 SARSCoV2 SARSCoV SARS CoV 2 SARS-CoV- Janeiro Brasil respiratorias vacunación SARSCoV2, 2, epidemiológicas inmunológicas SARSCoV2. 2. 69 18 60 infecciones Delta (Delta 5 B1133 B 1 33 (B.1.1.33 1000 000 1.00 semana B.1.1.3 proteína antipico 37 antiVOC anti VOC 99 similar circulación variantes tiempo 20 SARS-CoV 6 B113 3 (B.1.1.3 100 00 1.0 B.1.1. 9 B11 (B.1.1. 10 0 1. B.1.1 B1 (B.1.1 B.1. (B.1. B.1 (B.1 B. (B. (B

Abstract: Since May 2020, we have been conducting a comprehensive study to understand the natural history of SARS-CoV-2 infection in Rio de Janeiro, Brazil. Our focus has been on following families, systematically collecting respiratory tract swabs and blood samples, monitoring symptoms, and gathering data on vaccine status. This paper aims to describe the household cohort across five epidemic waves of SARS-CoV-2, providing an overview of the collected data and a description of the epidemiological, clinical, and immunological characteristics and incidence of SARS-CoV-2 infection. Our cohort includes 691 participants from 189 households. During the five epidemic waves, we detected 606 infections. The incidence density of SARS-CoV-2 infection ranged from 4 (Delta) to 56 (B.1.1.33) per 1,000 person-week, with a peak in wave B.1.1.33 in all age groups. The seroprevalence of SARS-CoV-2 antibodies (IgG anti spike protein) varied from 37%, in the pre-VoC period, to 99%, in the Omicron period, progressively increasing after each wave in a similar manner regardless of age. As we have monitored the cohort continuously since the beginning of the pandemic, we were able to collect data across different scenarios according to the predominant lineage in circulation. Via active monitoring of families, we were able to carry out an epidemiological surveillance on SARS-CoV-2, including its variants, persistence of symptoms, and changes in immunity over time in the population, contributing to knowledge of the natural history of SARS-CoV-2 infection.

Resumen: Desde mayo de 2020 se realiza un estudio exhaustivo con el fin de estimar el curso natural de la infección por SARS-CoV-2 en Río de Janeiro, Brasil. Se aplica un seguimiento a las familias en el cual se recolectan sistemáticamente muestras de sangre y de las vías respiratorias, se controlan los síntomas y se recogen datos sobre el estado de vacunación. Este artículo tiene como objetivo describir la cohorte de hogares durante cinco olas epidémicas de SARS-CoV-2, y proporcionar una visión general de los datos recopilados y una descripción de las características epidemiológicas, clínicas e inmunológicas, y de la incidencia de la infección por SARS-CoV-2. La cohorte incluyó a 691 participantes de 189 hogares. A lo largo de las cinco olas epidémicas, se detectaron 606 infecciones. La densidad de incidencia de la infección por SARS-CoV-2 varió de 4 (Delta) a 56 (B.1.1.33) por cada 1.000 personas por semana, y fue más alta en la ola B.1.1.33 en todos los grupos de edad. La seroprevalencia de anticuerpos contra el SARS-CoV-2 (proteína IgG antipico) varió del 37% en el período anti-VOC al 99% en el período Ómicron y aumentó ola tras ola de manera similar, independientemente de la edad de los participantes. El monitoreo continuo de la cohorte desde el comienzo de la pandemia permitió recopilar datos en diferentes escenarios según la cepa predominante en circulación. A partir del monitoreo activo de las familias, se realizó una vigilancia epidemiológica del SARS-CoV-2, sus variantes, la persistencia de los síntomas y los cambios en la inmunidad de la población a lo largo del tiempo, contribuyendo al conocimiento del curso natural de la infección por SARS-CoV-2.

Resumo: Desde maio de 2020, temos conduzido um estudo abrangente para entender a história natural da infecção por SARS-CoV-2 no Rio de Janeiro, Brasil. Nosso foco tem sido acompanhar as famílias das quais coletamos sistematicamente amostras de sangue e do trato respiratório, monitoramos os sintomas e reunimos dados sobre o status de vacinação. Este artigo tem como objetivo descrever a coorte de domicílios ao longo de cinco ondas epidêmicas de SARS-CoV-2, fornecendo uma visão geral dos dados coletados e uma descrição das características epidemiológicas, clínicas e imunológicas e da incidência da infecção por SARS-CoV-2. Nossa coorte inclui 691 participantes de 189 domicílios. Ao longo das cinco ondas epidêmicas, detectamos 606 infecções. A densidade de incidência da infecção por SARS-CoV-2 variou de 4 (Delta) a 56 (B.1.1.33) a cada 1.000 pessoas por semana e foi mais alta na onda B.1.1.33 em todas as faixas etárias. A soroprevalência de anticorpos contra o SARS-CoV-2 (proteína IgG anti-spike) variou de 37% no período pré-VoC a 99% no período Omicron e aumentou onda após onda de maneira semelhante, independentemente da idade dos participantes. Como monitoramos a coorte continuamente desde o início da pandemia, pudemos coletar dados em diferentes cenários, de acordo com a cepa predominante em circulação. Por meio do monitoramento ativo das famílias, conseguimos conduzir uma vigilância epidemiológica do SARS-CoV-2, de suas variantes, da persistência dos sintomas e das mudanças na imunidade da população ao longo do tempo, contribuindo para o conhecimento da história natural da infecção pelo SARS-CoV-2.

BACKGROUND There is interest in lingering non-specific symptoms after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, referred to as Long coronavirus disease 2019 (Long COVID-19). It remains unknown whether the risk of Long COVID-19 is associated with pre-existing comorbidities or initial COVID-19 severity, including infections due to new Omicron lineages which predominated in 2023. OBJECTIVES The aim of this case report was to characterize the clinical features of acute XBB.1.5 infection followed by Long COVID-19. METHODS We followed a 73-year old female resident of Rio de Janeiro with laboratory-confirmed SARS-CoV-2 during acute infection and subsequent months. The SARS-CoV-2 lineage was determined by genome sequencing. FINDINGS The participant denied comorbidities and had completed a two-dose vaccination schedule followed by two booster doses eight months prior to SARS-CoV-2 infection. Primary infection by viral lineage XBB.1.5. was clinically mild, but the participant subsequently reported persistent fatigue. MAIN CONCLUSIONS This case demonstrates that Long COVID-19 may develop even after mild disease due to SARS-CoV-2 in fully vaccinated and boosted individuals without comorbidities. Continued monitoring of new SARS-CoV-2 lineages and associated clinical outcomes is warranted. Measures to prevent infection should continue to be implemented including development of new vaccines and antivirals effective against novel variants. nonspecific non specific SARSCoV2 SARSCoV SARS CoV (SARS-CoV-2 201 COVID19. COVID19 COVID 19 . COVID-19) COVID-1 preexisting pre existing severity 2023 XBB15 XBB 1 5 XBB.1. 19. 73year year 73 laboratoryconfirmed laboratory confirmed SARS-CoV- sequencing twodose dose fatigue warranted variants (SARS-CoV- 20 COVID1 COVID- 202 XBB1 XBB.1 7 SARS-CoV (SARS-CoV XBB.

ABSTRACT Brazilian spotted fever, a zoonotic disease transmitted by ticks, is caused by Rickettsia rickettsii. We report a fulminant case of this zoonosis in a healthy 46-year-old military man in the urban region of Rio de Janeiro city, in October, 2021. Ticks and capybaras (Amblyomma sculptum, Hydrochoerus hydrochaeris, respectively) were identified in the military fields, pointing to the participation of this large synanthropic rodent, recognized as an efficient amplifier host of Rickettsia rickettsii in Brazil. As the military population is considered a risk group for spotted fever, it is necessary to alert health professionals to the importance of the early detection of the disease and its adequate management, mainly in populations that are particularly at risk of exposure to ticks, in order to avoid fatal outcomes.

The lethality of malaria in the extra-Amazonian region is more than 70 times higher than in Amazonia itself. Recently, several studies have shown that autochthonous malaria is not a rare event in the Brazilian southeastern states in the Atlantic Forest biome. Information about autochthonous malaria in the state of Rio de Janeiro (RJ) is scarce. This study aims to assess malaria cases reported to the Health Surveillance System of the State of Rio de Janeiro between 2000-2010. An average of 90 cases per year had parasitological malaria confirmation by thick smear. The number of malaria notifications due to Plasmodium falciparum increased over time. Imported cases reported during the period studied were spread among 51% of the municipalities (counties) of the state. Only 35 cases (4.3%) were autochthonous, which represents an average of 3.8 new cases per year. Eleven municipalities reported autochthonous cases; within these, six could be characterised as areas of residual or new foci of malaria from the Atlantic Forest system. The other 28 municipalities could become receptive for transmission reintroduction. Cases occurred during all periods of the year, but 62.9% of cases were in the first semester of each year. Assessing vulnerability and receptivity conditions and vector ecology is imperative to establish the real risk of malaria reintroduction in RJ.

Brazil, a country of continental proportions, presents three profiles of malaria transmission. The first and most important numerically, occurs inside the Amazon. The Amazon accounts for approximately 60% of the nation’s territory and approximately 13% of the Brazilian population. This region hosts 99.5% of the nation’s malaria cases, which are predominantly caused by Plasmodium vivax (i.e., 82% of cases in 2013). The second involves imported malaria, which corresponds to malaria cases acquired outside the region where the individuals live or the diagnosis was made. These cases are imported from endemic regions of Brazil (i.e., the Amazon) or from other countries in South and Central America, Africa and Asia. Imported malaria comprised 89% of the cases found outside the area of active transmission in Brazil in 2013. These cases highlight an important question with respect to both therapeutic and epidemiological issues because patients, especially those with falciparum malaria, arriving in a region where the health professionals may not have experience with the clinical manifestations of malaria and its diagnosis could suffer dramatic consequences associated with a potential delay in treatment. Additionally, because the Anopheles vectors exist in most of the country, even a single case of malaria, if not diagnosed and treated immediately, may result in introduced cases, causing outbreaks and even introducing or reintroducing the disease to a non-endemic, receptive region. Cases introduced outside the Amazon usually occur in areas in which malaria was formerly endemic and are transmitted by competent vectors belonging to the subgenus Nyssorhynchus (i.e., Anopheles darlingi, Anopheles aquasalis and species of the Albitarsis complex). The third type of transmission accounts for only 0.05% of all cases and is caused by autochthonous malaria in the Atlantic Forest, located primarily along the southeastern Atlantic Coast. They are caused by parasites that seem to be (or to be very close to) P. vivax and, in a less extent, by Plasmodium malariae and it is transmitted by the bromeliad mosquito Anopheles (Kerteszia) cruzii. This paper deals mainly with the two profiles of malaria found outside the Amazon: the imported and ensuing introduced cases and the autochthonous cases. We also provide an update regarding the situation in Brazil and the Brazilian endemic Amazon.

A malária é uma das principais doenças parasitárias do mundo, acometendo importante contingente de pessoas. Por seu alcance epidemiológico e pela possibilidade de desenvolvimento de quadros graves - quase sempre devidos ao Plasmodium fqalciparum -, se faz necessário o conhecimento adequado de suas manifestações clínicas e da terapêutica, para otimização da conduta. Na malária grave a internação em unidade de terapia intensiva é mandatória para redução das complicações decorrentes da infecção. O início do tratamento deve ser o mais precoce possível, o qual tem impacto na sobrevida do paciente, e é baseado na combinação de drogas antimaláricas e medidas de suporte. Neste âmbito, o presente artigo destina-se à discussão da forma grave da malária por P. falciparum, com ênfase no quadro clínico e no tratamento

Malaria is one of the world's leading parasitic diseases and affects a considerably large number of people. Considering the epidemiological reach of Plasmodium falciparum, which is almost always responsible for the most severe cases of malaria, a discussion of the clinical features and therapeutic interventions is important. In the cases of patients with severe malaria, admission to an intensive care unit is mandatory to reduce complications. To have an impact on survival rates, treatment with antimalarial drugs and supportive measures should be initiated as quickly as possible. The aim of this article is to discuss the components of severe malaria, with an emphasis on its clinical features and treatment

INTRODUÇÃO: A letalidade da malária na região extra-amazônica é cerca de 80 vezes maior do que na Amazônia, que concentra 99,8% dos casos do país. Em áreas de transmissão de dengue, como o Rio de Janeiro, o atraso no diagnóstico e tratamento da malária dos pacientes com febre, provenientes de áreas endêmicas de malária, pode ser, entre outros fatores, devido à confusão entre o diagnóstico das duas doenças pelos generalistas da rede de assistência médica. Neste trabalho, apresentamos as consequências do atraso diagnóstico em três pacientes com malária por Plasmodium falciparum; P. malariae e P. vivax, que, após o périplo habitual para tratamento de dengue, procuraram a nossa instituição onde foram corretamente diagnosticados e submetidos aos tratamentos adequados. MÉTODOS: Descrição de três casos de malária diagnosticada tardiamente e encaminhados ao IPEC/ FIOCRUZ, entre os anos de 2007 e 2008. RESULTADOS: uma brasileira proveniente de Moçambique, primo-infectada por P. falciparum, com malária diagnosticada após 6 dias do início da febre, morreu com malária cerebral e choque. Outro paciente com malária por P. malariae teve um curso grave e prolongado, mas ficou curado após o tratamento específico. A terceira paciente diagnosticada tardiamente apresentou malária por P. vivax adquirida na região de Mata Atlântica no Estado do Rio. CONCLUSÕES: Os profissionais de saúde do Rio devem ser treinados para aperfeiçoar a vigilância e o tratamento oportuno da malária e evitar desfechos mórbidos e fatais. Sugere-se que uma investigação de focos de malária autóctone em áreas de mata no estado seja realizada.

INTRODUCTION: The mortality of malaria in the extra-Amazon region is about 80 times higher than in the Amazon region, where malaria is concentrated (99.8% of cases). In areas of dengue transmission, delay in the diagnosis and treatment of malaria in patients with fever who reside in areas of malaria transmission can be due to the confusion between the clinical diagnoses of both diseases by nonspecialist doctors, among other factors. This work presents some of the consequences of delayed diagnosis in three patients with malaria by Plasmodium falciparum, P. malariae and P. vivax, who, after following the usual route for Dengue treatment, sought our institution, where they were correctly diagnosed and adequately treated. METHODS: Description of three cases of malaria with delayed diagnosed malaria referred to the Outpatient Clinic for Acute Febrile Diseases, IPEC/FIOCRUZ-RJ, between 2007 and 2008. RESULTS: A Brazilian from Mozambique, primo-infected with P. falciparum was diagnosed with malaria six days after the onset of fever and died of cerebral malaria and shock. Another patient with P.malariae malaria presented a severe and prolonged course, but was cured after specific treatment. A third patient, with delayed diagnosis of P. vivax malaria, acquired it in the Atlantic Forest region in the State of Rio. CONCLUSIONS: Health professionals from non-endemic areas for malaria should be trained to optimize the surveillance and early treatment of malaria and prevent morbid and fatal outcomes. An investigation of outbreaks of autochthonous malaria in the State of Rio de Janeiro is suggested.