Lucas Felipe Kist
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Lucas Felipe Kist has a total of 16 co-authors. Here are the top co-authors by number of shared publications:
- Ana Clara Michel Wolf
Medical Management, Hospital Moinhos de Vento, 13 Floor, 333 Tiradentes Street, Porto Alegre 90560-030, RS, Brazil
2 shared publications - Jonas Wolf
Hospital Moinhos de Vento Porto Alegre Rio Grande do Sul Brazil
2 shared publications - Juliana Haider Neves
Health Sciences Department, Faculdade de Ciências da Saúde Moinhos de Vento, Porto Alegre 90560-003, RS, Brazil
2 shared publications - Mauricio Santiago Soper
Faculty of Health Sciences Moinhos de Vento, Hospital Moinhos de Vento, Porto Alegre 90560-003, Rio Grande do Sul, Brazil
2 shared publications - Rafaela Munari da Silva
Health Sciences Department, Faculdade de Ciências da Saúde Moinhos de Vento, Porto Alegre 90560-003, RS, Brazil
2 shared publications - Daiane Popp Flores
Health Sciences Department, Faculdade de Ciências da Saúde Moinhos de Vento, Porto Alegre 90560-003, RS, Brazil
1 shared publication
Latest Publications
- Open Access
- 9 November 2026
- Published by MDPI AG in Infectious Disease Reports
- Vol. 18 (6) , 130
Temporal Patterns and Distribution of Laboratory-Confirmed Respiratory Pathogen Detections in a Tertiary Hospital in Southern Brazil (2023–2026)
Objective: To describe the epidemiological, clinical, and seasonal patterns of respiratory viral infections in Southern Brazil between January 2023 and April 2026. Methods: A retrospective observational descriptive study was conducted at a private hospital including laboratory-confirmed cases of SARS-CoV-2, influenza A (H3N2 and H1N1), respiratory syncytial virus (RSV A and B), rhinovirus, adenovirus, metapneumovirus, enterovirus, bocavirus, parainfluenza viruses, and seasonal coronaviruses. Respiratory pathogens were detected using molecular testing (XGEN MULTI PR24 FLOW CHIP) or rapid antigen detection tests. Demographic, clinical, and temporal data were analyzed according to age group. Results: A total of 18,214 detections were identified. Influenza A was the most frequent pathogen (48.08%), followed by SARS-CoV-2 (23.73%) and RSV A (8.65%). Hospitalization occurred in 20.44% of patients, 21.11% of hospitalized individuals required intensive care, and 2.93% required mechanical ventilation. Adults showed alternating seasonal peaks of influenza A and SARS-CoV-2, with influenza A predominating during colder seasons and SARS-CoV-2 during warmer periods. In children, SARS-CoV-2 incidence was lower, whereas RSV A and other respiratory viruses showed greater circulation. Declines in influenza A and COVID-19 detections were observed during periods that temporally overlapped with national vaccination campaigns; however, vaccination coverage was not assessed in this study. Conclusions: Respiratory viral infections remained frequent in the post-pandemic period, reinforcing the importance of continuous surveillance, seasonal monitoring, and vaccination strategies.
- 9 November 2026
- Published by MDPI AG in Infectious Disease Reports
- Vol. 18 (6) , 130
Open AccessTemporal Patterns and Distribution of Laboratory-Confirmed Respiratory Pathogen Detections in a Tertiary Hospital in Southern Brazil (2023–2026)
Objective: To describe the epidemiological, clinical, and seasonal patterns of respiratory viral infections in Southern Brazil between January 2023 and April 2026. Methods: A retrospective observational descriptive study was conducted at a private hospital including laboratory-confirmed cases of SARS-CoV-2, influenza A (H3N2 and H1N1), respiratory syncytial virus (RSV A and B), rhinovirus, adenovirus, metapneumovirus, enterovirus, bocavirus, parainfluenza viruses, and seasonal coronaviruses. Respiratory pathogens were detected using molecular testing (XGEN MULTI PR24 FLOW CHIP) or rapid antigen detection tests. Demographic, clinical, and temporal data were analyzed according to age group. Results: A total of 18,214 detections were identified. Influenza A was the most frequent pathogen (48.08%), followed by SARS-CoV-2 (23.73%) and RSV A (8.65%). Hospitalization occurred in 20.44% of patients, 21.11% of hospitalized individuals required intensive care, and 2.93% required mechanical ventilation. Adults showed alternating seasonal peaks of influenza A and SARS-CoV-2, with influenza A predominating during colder seasons and SARS-CoV-2 during warmer periods. In children, SARS-CoV-2 incidence was lower, whereas RSV A and other respiratory viruses showed greater circulation. Declines in influenza A and COVID-19 detections were observed during periods that temporally overlapped with national vaccination campaigns; however, vaccination coverage was not assessed in this study. Conclusions: Respiratory viral infections remained frequent in the post-pandemic period, reinforcing the importance of continuous surveillance, seasonal monitoring, and vaccination strategies.
- Open Access
- 6 August 2026
- Published by MDPI AG in Zoonotic Diseases
- Vol. 6 (3) , 33
Dengue Virus in the 21st Century: Transmission, Pathogenesis, and Climate-Driven Challenges
Dengue virus (DENV) remains a major global public health challenge, driven by the expanding distribution of Aedes vectors, rapid urbanization, and increasing climate variability. This review aimed to synthesize current evidence on dengue transmission dynamics, immunopathogenesis, molecular epidemiology, diagnostic and therapeutic advances, vaccine development, and the influence of climatic factors on disease patterns. A comprehensive search of major electronic databases was conducted to identify relevant literature, followed by a qualitative synthesis of the evidence. The evidence highlights complex transmission cycles involving Aedes aegypti and Aedes albopictus, with transmission strongly influenced by temperature, humidity, rainfall, and extreme climate events. Advances in immunopathogenesis research have improved understanding of mechanisms associated with severe disease, including antibody-dependent enhancement and dysregulated inflammatory responses. Diagnostic innovations, such as reverse transcription polymerase chain reaction (RT-PCR), NS1 antigen detection, and point-of-care technologies, have enhanced case identification, while prevention strategies increasingly incorporate integrated vector management, digital surveillance systems, and emerging vaccines. Integrating epidemiological, molecular, and climatic information may strengthen early warning systems, improve outbreak prediction, and support more effective dengue prevention and control strategies.
- 6 August 2026
- Published by MDPI AG in Zoonotic Diseases
- Vol. 6 (3) , 33
Open AccessDengue Virus in the 21st Century: Transmission, Pathogenesis, and Climate-Driven Challenges
Dengue virus (DENV) remains a major global public health challenge, driven by the expanding distribution of Aedes vectors, rapid urbanization, and increasing climate variability. This review aimed to synthesize current evidence on dengue transmission dynamics, immunopathogenesis, molecular epidemiology, diagnostic and therapeutic advances, vaccine development, and the influence of climatic factors on disease patterns. A comprehensive search of major electronic databases was conducted to identify relevant literature, followed by a qualitative synthesis of the evidence. The evidence highlights complex transmission cycles involving Aedes aegypti and Aedes albopictus, with transmission strongly influenced by temperature, humidity, rainfall, and extreme climate events. Advances in immunopathogenesis research have improved understanding of mechanisms associated with severe disease, including antibody-dependent enhancement and dysregulated inflammatory responses. Diagnostic innovations, such as reverse transcription polymerase chain reaction (RT-PCR), NS1 antigen detection, and point-of-care technologies, have enhanced case identification, while prevention strategies increasingly incorporate integrated vector management, digital surveillance systems, and emerging vaccines. Integrating epidemiological, molecular, and climatic information may strengthen early warning systems, improve outbreak prediction, and support more effective dengue prevention and control strategies.