OBSOLETO. Doença virótica rara.
Introdução
O que você precisa saber de cara
Visão geral
Conteúdo informativo gerado e mantido automaticamente a partir de fontes oficiais (Orphanet, HPO, OMIM, SUS). Não substitui avaliação médica.
O termo doença virótica rara refere-se a uma categoria antiga da base de dados Orphanet que agrupava infecções virais incomuns, hoje considerada obsoleta. Por não ser um diagnóstico individual, os sinais e sintomas dependem inteiramente do vírus causador da infecção. Esta categoria não possui um protocolo clínico específico nem medicamentos próprios dispensados pelo SUS. O cuidado e o tratamento de quem passa por uma infecção viral ocorrem na rede de saúde pública a partir do diagnóstico exato de cada vírus.
OBSOLETO. Doença virótica rara.
Encontrou um erro ou informação desatualizada? Sugira uma correção →
Entender a doença
Do básico ao detalhe, leia no seu ritmo
Preparando trilha educativa...
Sinais e sintomas
O que aparece no corpo e com que frequência cada sintoma acontece
Linha do tempo da pesquisa
Encontrou um erro ou informação desatualizada? Sugira uma correção →
Genética e causas
O que está alterado no DNA e como passa nas famílias
Nenhum gene associado encontrado
Os dados genéticos desta condição ainda estão sendo catalogados.
Diagnóstico
Os sinais que médicos procuram e os exames que confirmam
Tratamento e manejo
Remédios, cuidados de apoio e o que precisa acompanhar
Onde tratar no SUS
Hospitais de referência no Brasil e o protocolo oficial do SUS (PCDT)
🇧🇷 Atendimento SUS — Doença virótica rara
Selecione um estado ou use sua localização para ver resultados.
Dados de DATASUS/CNES, SBGM, ABNeuro e Ministério da Saúde. Sempre confirme a disponibilidade diretamente com o estabelecimento.
Pesquisa ativa
Ensaios clínicos abertos e novidades científicas recentes
Ensaios em destaque
Com ensaio aberto em 2 países. O ponto verde marca onde há vaga agora.
Pesquisa e ensaios clínicos
11 ensaios clínicos encontrados.
Publicações mais relevantes
Climatic determinants of monkeypox transmission: A multi-national analysis using generalized count mixed models.
Monkeypox (mpox) is a rare viral disease that can cause severe illness in humans, with outbreaks occurring primarily in central and western Africa. Well-coordinated and synchronized efforts are necessary to understand the factors involved in disease transmission and develop effective health interventions. The aim of this study is to assess the relationship between climate factors and daily mpox cases, as well as to identify the most suitable predictive model for transmission. We analyzed confirmed mpox cases from May 5, 2022, to February 14, 2023, in the 33 most affected countries. We employed and compared the efficiency of four models: Poisson, negative binomial, zero-inflated Poisson, and zero-inflated negative binomial. We found a significant correlation between climate factors and daily mpox cases across most of the studied countries. Specifically, for each 1°C increase in the heat index (HI), daily cases increased by 7.7 % (IRR = 1.077, p < 0.05). Conversely, higher relative humidity (RH) decreased daily cases by 2.4 %, and increased wind speed (WS) reduced them by 7.3 %. The HI positively influences mpox spread, while RH and WS act as protective factors. Public health officials should consider these climate influences when developing targeted interventions.
Differential Diagnosis, Prevention Measures, and Therapeutic Interventions for Enhanced Monkeypox (Mpox) Care.
Monkeypox (Mpox) is a rare viral disease that presents considerable challenges in healthcare settings, necessitating enhanced nursing care for effective management. This review thoroughly explores key aspects related to improving nursing care for Mpox. It commences by examining the background information on Mpox, encompassing its etiology, epidemiology, and modes of transmission. The differential diagnosis of Mpox is investigated, elucidating its clinical presentation, symptoms, and diagnostic methods to differentiate it from similar conditions. Prevention and control measures at both the public health and healthcare levels are scrutinized, including surveillance and reporting, contact tracing, isolation, and vaccination programs. In healthcare settings, infection prevention and control strategies, such as proper utilization of personal protective equipment, hand hygiene, and environmental management, are discussed. Furthermore, therapeutic interventions for Mpox, including symptomatic management, antiviral therapy, and supportive care, are outlined, with a specific emphasis on pain management, fever control, and psychosocial support. Nursing care strategies encompass patient assessment and monitoring, infection prevention strategies, psychosocial support, and patient education. The challenges encountered in enhancing nursing care for Mpox are acknowledged, along with research gaps and areas for further investigation. Finally, innovations in nursing practice for improved care, such as technology integration and simulation-based training, are explored. Enhancing nursing care in Mpox is crucial for positive patient outcomes, reducing transmission risks, and promoting overall well-being. By addressing the unique challenges, conducting further research, and embracing innovative practices, healthcare professionals, particularly nurses, can provide optimal care and contribute to better management of Mpox cases.
Monkeypox: An outbreak of a rare viral disease.
Monkeypox is a viral zoonotic disease rarely found outside Africa. Monkeypox can be spread from person to person through close contact with an infected person, and the rate of transmission is not very high. In addition, monkeypox and variola virus are both pox viruses, and the spread of monkeypox virus was also controlled to some extent by the smallpox campaign, so monkeypox was not widely paid attention to. However, as smallpox vaccination is phased out in various countries or regions, people's resistance to orthopoxviruses is decreasing, especially among people who have not been vaccinated against smallpox. This has led to a significant increase in the frequency and geographical distribution of human monkeypox cases in recent years, and the monkeypox virus has become the orthopoxvirus that poses the greatest threat to public health. Since the last large-scale monkeypox infection was detected in 2022, the number of countries or territories affected has exceeded 100. Many confirmed and suspected cases of monkeypox have been found in individuals who have not travelled to affected areas, and the route of infection is not obvious, making this outbreak of monkeypox a cause for concern globally. The purpose of this systematic review is to further understand the pathophysiological and epidemiological characteristics of monkeypox, as well as existing prevention and treatment methods, with a view to providing evidence for the control of monkeypox.
Utilizing convolutional neural networks to classify monkeypox skin lesions.
Monkeypox is a rare viral disease that can cause severe illness in humans, presenting with skin lesions and rashes. However, accurately diagnosing monkeypox based on visual inspection of the lesions can be challenging and time-consuming, especially in resource-limited settings where laboratory tests may not be available. In recent years, deep learning methods, particularly Convolutional Neural Networks (CNNs), have shown great potential in image recognition and classification tasks. To this end, this study proposes an approach using CNNs to classify monkeypox skin lesions. Additionally, the study optimized the CNN model using the Grey Wolf Optimizer (GWO) algorithm, resulting in a significant improvement in accuracy, precision, recall, F1-score, and AUC compared to the non-optimized model. The GWO optimization strategy can enhance the performance of CNN models on similar tasks. The optimized model achieved an impressive accuracy of 95.3%, indicating that the GWO optimizer has improved the model's ability to discriminate between positive and negative classes. The proposed approach has several potential benefits for improving the accuracy and efficiency of monkeypox diagnosis and surveillance. It could enable faster and more accurate diagnosis of monkeypox skin lesions, leading to earlier detection and better patient outcomes. Furthermore, the approach could have crucial public health implications for controlling and preventing monkeypox outbreaks. Overall, this study offers a novel and highly effective approach for diagnosing monkeypox, which could have significant real-world applications.
Case Presentation: Monkeypox.
Monkeypox is a rare viral disease that initially appeared in West and Central Africa, and is primarily transmitted to humans from animals. It moved to the United States in 2003, which was the first time the disease had left the African continent. It is still uncommon in the United States and elsewhere, although outbreaks have occurred, especially in gay communities,1-3 causing it to be declared a health emergency in some areas. (SKINmed. 2022;20:410-411).
Publicações recentes
Climatic determinants of monkeypox transmission: A multi-national analysis using generalized count mixed models.
Differential Diagnosis, Prevention Measures, and Therapeutic Interventions for Enhanced Monkeypox (Mpox) Care.
Monkeypox: An outbreak of a rare viral disease.
Utilizing convolutional neural networks to classify monkeypox skin lesions.
Case Presentation: Monkeypox.
📚 EuropePMC2 artigos no totalmostrando 8
Climatic determinants of monkeypox transmission: A multi-national analysis using generalized count mixed models.
Journal of virological methodsDifferential Diagnosis, Prevention Measures, and Therapeutic Interventions for Enhanced Monkeypox (Mpox) Care.
CureusMonkeypox: An outbreak of a rare viral disease.
Journal of microbiology, immunology, and infection = Wei mian yu gan ran za zhiUtilizing convolutional neural networks to classify monkeypox skin lesions.
Scientific reportsCase Presentation: Monkeypox.
SkinmedRapid Amplicon Nanopore Sequencing (RANS) for the Differential Diagnosis of Monkeypox Virus and Other Vesicle-Forming Pathogens.
Viruses[Buschke-Lowenstein tumor of the penis].
The Pan African medical journalSafety of yellow fever vaccination in pregnancy: findings from a cohort of active duty US military women.
Journal of travel medicineAssociações
Organizações que acompanham esta doença — pra ter apoio e orientação
Ainda não temos associações cadastradas para Doença virótica rara.
É de uma associação que acompanha esta doença? Fale com a gente →
Doenças relacionadas
Doenças com sintomas parecidos — ajudam quem ainda está buscando diagnóstico
Ainda não achamos doenças com sintomas parecidos o suficiente.
Perguntas frequentes
O que as famílias mais perguntam sobre esta doença — cada resposta com a fonte de onde saiu
Trata-se de uma categoria médica cadastrada na Orphanet sob o código ORPHA:163585 que englobava infecções virais incomuns. Atualmente, esta entrada é considerada obsoleta no catálogo internacional.
Referências
Fontes citadas no texto, publicações do grafo e bases de dados usadas neste verbete
3 fontes citadas no texto · 5 publicações do grafo RarasNet (PubMed) · 4 bases de dados. Títulos, periódicos e PMIDs vêm direto da fonte, sem intermediação de IA.
Dados compilados pelo RarasNet a partir de fontes abertas (Orphanet, OMIM, MONDO, PubMed/EuropePMC, ClinicalTrials.gov, DATASUS, PCDT/MS). Este conteúdo é informativo e não substitui avaliação médica.
Citar este verbete
Raras. (2026). Doença virótica rara. Em Raras — Enciclopédia de Doenças Raras do Brasil. https://raras.org/doenca/doenca-virotica-rara
Formato APA. Conteúdo sob CC BY 4.0 — reuso livre com atribuição.
Conteúdo mantido por Agente Raras · Médicos e pesquisadores podem colaborar
📋 Origem dos dados
Esta página agrega dados de fontes públicas e oficiais. Dados sobre cobertura no SUS (PCDT, CEAF) são verificados ativamente por agente proativo (ver badge no infobox). Demais dados têm atribuição de fonte + data da última sincronização — clique para abrir o original.
- Doença rara (ontologia)
- fonte: Orphanet
- Identificador unificado
- fonte: MONDO
- Indexação biomédica
- fonte: MeSH (NLM)
- Dado público estruturado
- fonte: Wikidata
