47 results on '"Lana, Raquel Martins"'
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2. Author Correction: Climate change, thermal anomalies, and the recent progression of dengue in Brazil
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Barcellos, Christovam, Matos, Vanderlei, Lana, Raquel Martins, and Lowe, Rachel
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- 2024
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3. Climate change, thermal anomalies, and the recent progression of dengue in Brazil
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Barcellos, Christovam, Matos, Vanderlei, Lana, Raquel Martins, and Lowe, Rachel
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- 2024
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- View/download PDF
4. Ethical considerations related to drone use for environment and health research: A scoping review protocol
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Hoek Spaans, Remy, primary, Drumond, Bruna, additional, van Daalen, Kim Robin, additional, Rorato Vitor, Ana Claudia, additional, Derbyshire, Alison, additional, Da Silva, Adriano, additional, Lana, Raquel Martins, additional, Vega, Mauricio Santos, additional, Carrasco-Escobar, Gabriel, additional, Sobral Escada, Maria Isabel, additional, Codeço, Claudia, additional, and Lowe, Rachel, additional
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- 2024
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5. The expansion of chikungunya in Brazil
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Ferreira de Almeida, Iasmim, primary, Codeço, Claudia Torres, additional, Lana, Raquel Martins, additional, Bastos, Leonardo Soares, additional, de Souza Oliveira, Sara, additional, Andreza da Cruz Ferreira, Danielle, additional, Godinho, Vinicius Barbosa, additional, Souza Riback, Thais Irene, additional, Cruz, Oswaldo Gonçalves, additional, and Coelho, Flavio Codeço, additional
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- 2023
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6. 4 - Estimativa de risco de espalhamento da Covid-19 no Brasil e avaliação da vulnerabilidade socioeconômica nas microrregiões brasileiras
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Codeço, Cláudia Torres, primary, Villela, Daniel Antunes Maciel, additional, Coelho, Flávio Codeço, additional, Bastos, Leonardo Soares, additional, Carvalho, Luiz Max, additional, Gomes, Marcelo Ferreira da Costa, additional, Cruz, Oswaldo Gonçalves, additional, and Lana, Raquel Martins, additional
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- 2021
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7. 7 - Vulnerabilidade das populações indígenas à pandemia de Covid- 19 no Brasil e os desafios para o seu monitoramento
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Lana, Raquel Martins, primary, Codeço, Cláudia Torres, additional, Santos, Ricardo Ventura, additional, Cunha, Bárbara, additional, Coelho, Flávio Codeço, additional, Cruz, Oswaldo Gonçalves, additional, Caldas, Aline Diniz Rodrigues, additional, Souza, Mirian Carvalho de, additional, Bastos, Leonardo Soares, additional, Pontes, Ana Lúcia de Moura, additional, Gomes, Marcelo Ferreira da Costa, additional, Tavares, Inara do Nascimento, additional, Dal´Asta, Ana Paula, additional, Rorato, Ana Cláudia, additional, Escada, Maria Isabel Sobral, additional, Carvalho, Luiz Max, additional, Villela, Daniel Antunes Maciel, additional, Damasco, Fernando Souza, additional, and Cardoso, Andrey Moreira, additional
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- 2021
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8. A completeness indicator of gestational and congenital syphilis information in Brazil
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Oliveira, Guilherme Lopes de, primary, Ferreira, Andrêa JF, additional, Santana, José Guilherme, additional, Lana, Raquel Martins, additional, Cardoso, Andrey Moreira, additional, Teles, Carlos, additional, Fiaccone, Rosemeire L., additional, Aquino, Rosana, additional, Soares, Maria Auxiliadora Santos, additional, Paixao, Enny S., additional, Santos, Idália Oliveira, additional, Salvi, Leonardo, additional, Barreto, Maurício L., additional, and Ichihara, Maria Yury, additional
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- 2023
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9. Ethical considerations related to drone use for environment and health research: a scoping review protocol
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Hoek Spaans, Remy, primary, Drumond, Bruna, additional, van Daalen, Kim, additional, Derbyshire, Alison, additional, Da Silva, Adriano, additional, Lana, Raquel Martins, additional, Vega, Mauricio Santos, additional, Carrasco-Escobar, Gabriel, additional, Codeço, Claudia, additional, and Lowe, Rachel, additional
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- 2023
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10. The effectiveness of COVID-19 vaccines against severe cases and deaths in Brazil from 2021 to 2022: a registry-based study
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Santos, Cleber Vinicius Brito dos, primary, Valiati, Naiara Cristina Morais, additional, Noronha, Tatiana Guimarães de, additional, Porto, Victor Bertollo Gomes, additional, Pacheco, Antônio Guilherme, additional, Freitas, Laís Picinini, additional, Coelho, Flávio Codeço, additional, Gomes, Marcelo Ferreira da Costa, additional, Bastos, Leonardo Soares, additional, Cruz, Oswaldo Gonçalves, additional, Lana, Raquel Martins, additional, Luz, Paula Mendes, additional, Carvalho, Luiz Max Fagundes de, additional, Werneck, Guilherme Loureiro, additional, Struchiner, Claudio José, additional, and Villela, Daniel Antunes Maciel, additional
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- 2023
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11. How heterogeneous is the dengue transmission profile in Brazil? A study in six Brazilian states
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de Almeida, Iasmim Ferreira, primary, Lana, Raquel Martins, additional, and Codeço, Cláudia Torres, additional
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- 2022
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12. A completeness indicator of gestational and congenital syphilis information in Brazil
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de Oliveira, Guilherme Lopes, primary, Ferreira, Andrea JF, additional, Santana, Jose Guilherme, additional, Lana, Raquel Martins, additional, Cardoso, Andrey Moreira, additional, Teles, Carlos, additional, Fiaccone, Rosemeire L, additional, Aquino, Rosana, additional, Soares, Maria Auxiliadora Santos, additional, Paixao, Enny S, additional, dos Santos, Idalia Oliveira, additional, Salvi, Leonardo, additional, Barreto, Mauricio L, additional, and Ichihara, Maria Yury, additional
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- 2022
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13. Challenges for fighting Chagas disease in the 21st century
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Freitas, Laís Picinini, primary, Lana, Raquel Martins, additional, and Cruz, Oswaldo Gonçalves, additional
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- 2022
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14. Identification of priority groups for COVID-19 vaccination in Brazil
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Lana, Raquel Martins, Freitas, Laís Picinini, Codeço, Cláudia Torres, Pacheco, Antônio Guilherme, Carvalho, Luiz Max Fagundes de, Villela, Daniel Antunes Maciel, Coelho, Flávio Codeço, Cruz, Oswaldo Gonçalves, Niquini, Roberta Pereira, Porto, Victor Bertollo Gomes, Gava, Caroline, Gomes, Marcelo Ferreira da Costa, and Bastos, Leonardo Soares
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Comorbidade ,Epidemiological Monitoring ,COVID-19 ,Síndrome Respiratória Aguda Grave ,Comorbidity ,Síndrome Respiratorio Agudo Grave ,Monitoreo Epidemiológico ,Comorbilidad ,Severe Acute Respiratory Syndrome ,Monitoramento Epidemiológico - Abstract
Em um contexto de transmissão comunitária e escassez de vacinas, a vacinação contra a COVID-19 deve focar na redução direta da morbidade e da mortalidade causadas pela doença. Portanto, é fundamental a definição de grupos prioritários para a vacinação pelo Programa Nacional de Imunizações (PNI), baseada no risco de hospitalização e óbito pela doença. Para tal, calculamos o sobrerrisco por sexo, faixa etária e comorbidades por meio dos registros de hospitalização e óbito por síndrome respiratória aguda grave com confirmação de COVID-19 (SRAG-COVID) em todo o Brasil nos primeiros seis meses de epidemia. Apresentaram maior sobrerrisco pessoas do sexo masculino (hospitalização = 1,1 e óbito = 1,2), pessoas acima de 45 anos para hospitalização (SRfe variando de 1,1 a 8,5) e pessoas acima de 55 anos para óbitos (SRfe variando de 1,5 a 18,3). Nos grupos de comorbidades, doença renal crônica, diabetes mellitus, doença cardiovascular e pneumopatia crônica conferiram sobrerrisco, enquanto para asma não houve evidência. Ter doença renal crônica ou diabetes mellitus e 60 anos ou mais mostrou-se um fator ainda mais forte, alcançando sobrerrisco de óbito 14 e 10 vezes maior do que na população geral, respectivamente. Para todas as comorbidades, houve um sobrerrisco mais alto em idades maiores, com um gradiente de diminuição em faixas mais altas. Esse padrão se inverteu quando consideramos o sobrerrisco em relação à população geral, tanto para hospitalização quanto para óbito. O presente estudo forneceu evidências a respeito do sobrerrisco de hospitalização e óbito por SRAG-COVID, auxiliando na definição de grupos prioritários para a vacinação contra a COVID-19. En un contexto de transmisión comunitaria y escasez de vacunas, la vacunación contra la COVID-19 debe enfocarse en la reducción directa de la morbilidad y de la mortalidad causadas por la enfermedad. Por lo tanto, es fundamental la definición de grupos prioritarios para la vacunación por el Programa Nacional de Inmunizaciones (PNI), basada en el riesgo de hospitalización y óbito por la enfermedad. Para tal fin, calculamos el sobrerriesgo por sexo, franja de edad y comorbilidades mediante los registros de hospitalización y óbito por síndrome respiratorio agudo grave con confirmación de COVID-19 (SRAG-COVID) en todo Brasil, durante los primeros seis meses de epidemia. Presentaron mayor sobrerriesgo personas del sexo masculino (hospitalización = 1,1 y óbito = 1,2), personas por encima de 45 años para hospitalización (SRfe variando de 1,1 a 8,5) y personas por encima de 55 años para óbitos (SRfe variando de 1,5 a 18,3). En los grupos de comorbilidades, enfermedad renal crónica, diabetes mellitus, enfermedad cardiovascular y neumopatía crónica ofrecieron sobrerriesgo, mientras que para el asma no hubo evidencia. Sufrir una enfermedad renal crónica o diabetes mellitus y tener 60 años o más mostró un factor todavía más fuerte, alcanzando sobrerriesgo de enfermedad 14 y 10 veces mayor que en la población general, respectivamente. Para todas las comorbilidades, hubo un sobrerriesgo más alto en edades mayores, con un gradiente de disminución en franjas más altas. Este patrón se invirtió cuando consideramos el sobrerriesgo en relación con la población general, tanto para hospitalización como para óbito. El presente estudio proporcionó evidencias respecto al sobrerriesgo de hospitalización y óbito por SRAG-COVID, ayudando en la definición de grupos prioritarios para la vacunación contra la COVID-19. In a context of community transmission and shortage of vaccines, COVID-19 vaccination should focus on directly reducing the morbidity and mortality caused by the disease. It was thus essential to define priority groups for vaccination by the Brazilian National Immunization Program (PNI in Portuguese), based on the risk of hospitalization and death from the disease. We calculated overrisk according to sex, age group, and comorbidities using hospitalization and death records from severe acute respiratory illness with confirmation of COVID-19 (SARI-COVID) in all of Brazil in the first 6 months of the epidemic. Higher overrisk was associated with male sex (hospitalization = 1.1 and death = 1.2), age over 45 years for hospitalization (OvRag ranging from 1.1 to 8.5), and age over 55 year for death (OvRag ranging from 1.5 to 18.3). In the groups with comorbidities, chronic kidney disease, diabetes mellitus, cardiovascular disease, and chronic lung disease were associated with overrisk, while there was no such evidence for asthma. Chronic kidney disease or diabetes and age over 60 showed an even stronger association, reaching overrisk of death 14 and 10 times greater than in the general population, respectively. For all the comorbidities, there was higher overrisk at older ages, with a downward gradient in the oldest age groups. This pattern was reversed when examining overrisk in the general population, for both hospitalization and death. The current study provided evidence of overrisk of hospitalization and death from SARI-COVID, assisting the definition of priority groups for COVID-19 vaccination.
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- 2021
15. Effectiveness of Mass Vaccination in Brazil against Severe COVID-19 Cases
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Villela, Daniel A.M., primary, de Noronha, Tatiana Guimarães, additional, Bastos, Leonardo S., additional, Pacheco, Antonio G., additional, Cruz, Oswaldo G, additional, Carvalho, Luiz Max, additional, Codeço, Claudia Torres, additional, Costa Gomes, Marcelo Ferreira da, additional, Coelho, Flávio Codeço, additional, Freitas, Laís Picinini, additional, Lana, Raquel Martins, additional, Gomes Porto, Victor Bertollo, additional, Bastos Camacho, Luiz Antônio, additional, and Struchiner, Claudio José, additional
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- 2021
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16. A Framework for Weather-Driven Dengue Virus Transmission Dynamics in Different Brazilian Regions
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Alves, Leon Diniz, primary, Lana, Raquel Martins, additional, and Coelho, Flávio Codeço, additional
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- 2021
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17. Identificação de grupos prioritários para a vacinação contra COVID-19 no Brasil
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Lana, Raquel Martins, primary, Freitas, Laís Picinini, additional, Codeço, Cláudia Torres, additional, Pacheco, Antônio Guilherme, additional, Carvalho, Luiz Max Fagundes de, additional, Villela, Daniel Antunes Maciel, additional, Coelho, Flávio Codeço, additional, Cruz, Oswaldo Gonçalves, additional, Niquini, Roberta Pereira, additional, Porto, Victor Bertollo Gomes, additional, Gava, Caroline, additional, Gomes, Marcelo Ferreira da Costa, additional, and Bastos, Leonardo Soares, additional
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- 2021
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18. COVID-19 and hospitalizations for SARI in Brazil: a comparison up to the 12th epidemiological week of 2020
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Bastos, Leonardo Soares, Niquini, Roberta Pereira, Lana, Raquel Martins, Villela, Daniel AM, Cruz, Oswaldo G, Coelho, Flávio C, Codeço, Claudia T, and Gomes, Marcelo FC
- Abstract
Surveillance of the severe acute respiratory illness (SARI) in Brazil aims to characterize the circulation of the Influenza A and B viruses in hospitalized cases and deaths, having been expanded in 2012 to include other respiratory viruses. COVID-19 was detected in Brazil for the time in the 9th epidemiological week of 2020, and the test for the SARS-CoV-2 virus was included in the surveillance protocol starting in the 12th epidemiological week. This study's objective was to investigate the pattern of hospitalizations for SARI in Brazil since the entry of SARS-CoV-2, comparing the temporal and age profiles and laboratory results to the years 2010 through 2019. In 2020, hospitalizations for SARI, compiled from the date of the first confirmed case of COVID-19 up to the 12th week, exceeded the numbers observed during the same period in each of the previous 10 years. The age bracket over 60 years was the most heavily affected, at higher than historical levels. There was a considerable increase in negative laboratory tests, suggesting circulation of a different virus from those already present in the panel. We concluded that the increase in hospitalizations for SARI, the lack of specific information on the etiological agent, and the predominance of cases among the elderly during the same period in which there was an increase in the number of new cases of COVID-19 are all consistent with the hypothesis that severe cases of COVID-19 are already being detected by SARI surveillance, placing an overload on the health system. The inclusion of testing for SARS-CoV-2 in the SARI surveillance protocol and the test's effective nationwide deployment are extremely important for monitoring the evolution of severe COVID-19 cases in Brazil.
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- 2020
19. Estimativa de risco de espalhamento da COVID-19 no Brasil e o impacto no sistema de saúde e população por microrregião
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Codeço, Claudia Torres, Villela, Daniel, Coelho, Flávio Codeço, Bastos, Leonardo S., Gomes, Marcelo F.C., Cruz, Oswaldo Gonçalves, Lana, Raquel Martins, Pastore y Piontti, Ana, Vespignani, Alessandro, Davis, Jessica T., and Demais unidades::RPCA
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Pandemia ,Infecções por coronavírus - Aspectos sociais - Brasil ,Risco de saúde ,COVID-19 ,Saúde ,Infecções por coronavírus - Abstract
Esse relatório analisa o risco de importação de COVID-19 para as microrregiões brasileiras decorrente da presença de transmissão sustentada nos dois maiores centros urbanos, Rio de Janeiro e São Paulo e os efeitos de possível ocorrência de epidemias nas microrregiões associados a faixas da população com maior risco de morbidade e letalidade, como idosos, e indicadores de capacidade no SUS, como número de leitos. Esses cenários foram construídos assumindo ausência de distanciamento social e restrição de viagem. Muitos municípios e unidades da federação já acertadamente iniciaram implementação de medidas de isolamento. Tais medidas contribuem para diminuir o risco que foi avaliado neste estudo.
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- 2020
20. Estimativa de risco de espalhamento da COVID-19 no Brasil e avaliação da vulnerabilidade socioeconômica nas microrregiões brasileiras
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Codeço, Claudia Torres, Villela, Daniel, Coelho, Flávio Codeço, Bastos, Leonardo S., Carvalho, Luiz Max, Gomes, Marcelo F.C., Cruz, Oswaldo Gonçalves, Lana, Raquel Martins, Vespignani, Alessandro, Pastore y Piontti, Ana, Davis, Jessica T., Escolas::EMAp, and Demais unidades::RPCA
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Pandemia ,Matemática ,Infecções por coronavírus - Aspectos sociais - Brasil ,COVID-19 ,Saúde ,Infecções por coronavírus ,Ciências sociais - Abstract
Esse relatório atualiza a análise do risco de disseminação da COVID-19 para as microrregiões brasileiras decorrente da presença de transmissão sustentada nos dois maiores centros urbanos, Rio de Janeiro e São Paulo. Faz também a identificação de microrregiões com alta vulnerabilidade social, e maior contingente de população idosa. A combinação de um alto risco de introdução com alta vulnerabilidade constitui em situação de alerta máximo. Esses cenários foram construídos assumindo ausência de distanciamento social e restrição de viagem que entraram em vigor. Muitos municípios e unidades da federação acertadamente já iniciaram implementação de medidas de isolamento. Tais medidas contribuem para diminuir o risco que foi avaliado neste estudo. Foram incluídos também cenários de redução da mobilidade intermunicipal e interação social para avaliação de impacto.
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- 2020
21. The novel coronavirus (SARS-CoV-2) emergency and the role of timely and effective national health surveillance
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Lana, Raquel Martins, Coelho, Flávio Codeço, Gomes, Marcelo Ferreira da Costa, Cruz, Oswaldo Gonçalves, Bastos, Leonardo Soares, Villela, Daniel Antunes Maciel, and Codeço, Cláudia Torres
- Abstract
No Abstract available.
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- 2020
22. Assessing the potential impacts of COVID-19 in Brasil: Mobility, Morbidity and Impact to the Health System
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Coelho, Flávio Codeço, Lana, Raquel Martins, Cruz, Oswaldo Gonçalves, Codeço, Claudia Torres, Villela, Daniel, Bastos, Leonardo S., Pastore y Piontti, Ana, Davis, Jessica T., Vespignani, Alessandro, Gomes, Marcelo F.C., Escolas::EMAp, and Demais unidades::RPCA
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Pandemia ,Matemática ,Infecções por coronavírus - Aspectos sociais - Brasil ,COVID-19 ,Saúde ,Pandemics ,Infecções por coronavírus ,Morbidade ,Mobilidade ,Ciências sociais - Abstract
The two largest Brazilian cities, Rio de Janeiro and São Paulo, have declared community transmission of COVID-19 on mid March, 2020. In this study we estimated the most vulnerable areas in Brazil for COVID-19, both in terms of risk of introduction and risk of mortality associated with social vulnerability. We explore the most likely routes of spread through the country, from the already exposed cities, according to human mobility statistics. The resulting maps should help authorities in their efforts to prioritize actions and if resource allocation to mitigate the effects of the pandemic.
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- 2020
23. Measuring the contribution of mobility to malaria persistence
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Gomes, Marcelo Ferreira da Costa, primary, Codeço, Cláudia Torres, additional, Bastos, Leonardo Soares, additional, and Lana, Raquel Martins, additional
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- 2020
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24. Measuring the Contribution of Mobility on Malaria Persistence
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Gomes, Marcelo Ferreira da Costa, primary, Codeço, Cláudia Torres, additional, Bastos, Leonardo Soares, additional, and Lana, Raquel Martins, additional
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- 2020
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25. SRAG por COVID-19 no Brasil: descrição e comparação de características demográficas e comorbidades com SRAG por influenza e com a população geral
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Niquini, Roberta Pereira, primary, Lana, Raquel Martins, additional, Pacheco, Antonio Guilherme, additional, Cruz, Oswaldo Gonçalves, additional, Coelho, Flávio Codeço, additional, Carvalho, Luiz Max, additional, Villela, Daniel Antunes Maciel, additional, Gomes, Marcelo Ferreira da Costa, additional, and Bastos, Leonardo Soares, additional
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- 2020
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26. COVID-19 e hospitalizações por SRAG no Brasil: uma comparação até a 12ª semana epidemiológica de 2020
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Bastos, Leonardo Soares, primary, Niquini, Roberta Pereira, additional, Lana, Raquel Martins, additional, Villela, Daniel A. M., additional, Cruz, Oswaldo G., additional, Coelho, Flávio C., additional, Codeço, Claudia T., additional, and Gomes, Marcelo F. C., additional
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- 2020
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27. Emergência do novo coronavírus (SARS-CoV-2) e o papel de uma vigilância nacional em saúde oportuna e efetiva
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Lana, Raquel Martins, primary, Coelho, Flávio Codeço, additional, Gomes, Marcelo Ferreira da Costa, additional, Cruz, Oswaldo Gonçalves, additional, Bastos, Leonardo Soares, additional, Villela, Daniel Antunes Maciel, additional, and Codeço, Cláudia Torres, additional
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- 2020
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28. (In)Segurança alimentar no contexto da pandemia por SARS-CoV-2
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Oliveira, Tatiana Coura, primary, Abranches, Monise Viana, additional, and Lana, Raquel Martins, additional
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- 2020
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29. Development, environmental degradation, and disease spread in the Brazilian Amazon
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Castro, Marcia C., primary, Baeza, Andres, additional, Codeço, Cláudia Torres, additional, Cucunubá, Zulma M., additional, Dal’Asta, Ana Paula, additional, De Leo, Giulio A., additional, Dobson, Andrew P., additional, Carrasco-Escobar, Gabriel, additional, Lana, Raquel Martins, additional, Lowe, Rachel, additional, Monteiro, Antonio Miguel Vieira, additional, Pascual, Mercedes, additional, and Santos-Vega, Mauricio, additional
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- 2019
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30. Assessment of a trap based Aedes aegypti surveillance program using mathematical modeling
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Lana, Raquel Martins, primary, Morais, Maíra Moreira, additional, Lima, Tiago França Melo de, additional, Carneiro, Tiago Garcia de Senna, additional, Stolerman, Lucas Martins, additional, dos Santos, Jefferson Pereira Caldas, additional, Cortés, José Joaquín Carvajal, additional, Eiras, Álvaro Eduardo, additional, and Codeço, Cláudia Torres, additional
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- 2018
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31. The introduction of dengue follows transportation infrastructure changes in the state of Acre, Brazil: A network-based analysis
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Lana, Raquel Martins, primary, Gomes, Marcelo Ferreira da Costa, additional, Lima, Tiago França Melo de, additional, Honório, Nildimar Alves, additional, and Codeço, Cláudia Torres, additional
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- 2017
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32. Factors associated with overweight: are the conclusions influenced by choice of the regression method?
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Juvanhol, Leidjaira Lopes, primary, Lana, Raquel Martins, additional, Cabrelli, Renata, additional, Bastos, Leonardo Soares, additional, Nobre, Aline Araújo, additional, Rotenberg, Lúcia, additional, and Griep, Rosane Härter, additional
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- 2016
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33. Multiscale analysis and modelling of Aedes aegypti population spatial dynamics
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Lana, Raquel Martins, Carneiro, Tiago Garcia de Senna, Rocha, Nildimar Honorio, and Codeço, Cláudia Torres
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Spatial model ,Aedes aegypti ,Population model ,Calibration - Abstract
Population dynamic models requires the evaluation of the best scale of analysis. This work analyses three spatial scales in the context of the mosquito Aedes aegypti, main vector of dengue fever. One scale is the neighborhood, the others scales are the census tract and the lot. A geographical database was developed including point maps with trap locations, number of eggs collected per trap per week, polygons of census tracts, census data, among others. For simulation purposes, a layer of regular cells (10 x 10 meters) was created to store the model’s inputs and outputs. A population dynamic model with temperature as input variable was parameterized and fitted to the neighborhood and census tract data. For the lot level, an allocation procedure was developed as the spatial resolution was higher than the data resolution. This procedure couples the population dynamic model with a kernel density map. Results indicate that at the neighborhood level, the population model captured well the overall pattern with lower mosquito density during the cold season and larger during the warm season. However, in the first warm season, two peaks did not fit well, suggesting the importance of investigating the role of other variables in the dynamics of Aedes aegypti. At the census tract level, we found no evidence of spatial clustering. At the lot level, the allocation model represented well the overall summer to winter variation in hotspot intensity. The cost of vector surveillance is high and the procedures proposed here can be used to design optimized control strategies and activities.
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- 2011
34. Evidence Of Critical Community Size For Malaria Transmission In Alto Juruá, Acre
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Lana, Raquel Martins, primary, Honório, Nildimar Alves, additional, and Codeço, Cláudia Torres, additional
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- 2015
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35. Modelos dinâmicos acoplados para simulação da ecologia do vetor Aedes aegypti
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Lana, Raquel Martins and Carneiro, Tiago Garcia de Senna
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Dengue ,Aedes aegypti ,Modelos computacionais ,Ecologia aplicada ,Dinâmica populacional - Abstract
Recentemente, a dinâmica populacional e dispersão do mosquito vetor do vírus Dengue, o Aedes aegypti, tem sido objeto de vários estudos. O uso de modelos computacionais para simulação dessa dinâmica é de grande importância para Saúde Pública, uma vez que permite avaliar áreas de risco de transmissão do Dengue. O Rio de Janeiro, RJ, tem enfrentado fortes epidemias de dengue, sendo a mais grave em 2008. Com o objetivo de entender a ecologia do Aedes aegypti este trabalho propõe um novo modelo espacialmente-explícito para simular a dinâmica populacional desse vetor no bairro de Higienópolis. O modelo considera a influência de variáveis climáticas e ambientais e permite a construção de estimativas a respeito da quantidade mínima de criadouros existentes na região de estudo suficiente para sustentar a taxa de oviposição amostrada ao longo do tempo (número de ovos/semana). Foram utilizadas amostras semanais de medidas de oviposição para alguns setores censitários do bairro, coletadas no período de setembro de 2006 a março de 2008 por equipes da Fundação Oswaldo Cruz (FIOCRUZ). Medidas semanais de temperatura foram coletadas a partir da Estação Meteorológica do Galeão, Rio de Janeiro, RJ. O modelo desenvolvido foi integrado ao banco de dados geográficos também desenvolvido neste trabalho, de forma a permitir seu uso para a identificação de locais de maior concentração de criadouros e, assim, direcionar ações de controle. O modelo desenvolvido tem suas bases no modelo confeccionado por Ferreira e Yang (2003a) e em algumas melhorias propostas por Otero et al. (2006). Outras melhorias são contribuições originais deste esforço como a determinação de uma relação quadrática entre a estatística de oviposição e a temperatura ambiente, o modelo para inibição da oviposição pela excessiva densidade de larvas, e a metodologia para estimação da densidade de criadouros a partir de medidas de oviposição. O modelo proposto foi implementado no ambiente de modelagem TerraME, posteriormente, calibrado e validado para o bairro de Higienópolis, Rio de Janeiro, RJ. Algumas diretivas para trabalhos futuros são apontadas como aprimoramentos para o modelo proposto. The population dynamic of the vector Aedes aegypti and the dispersion of the Dengue virus have stimulated many studies. Computational models to simulate these phenomena are critically important to decision making in Public Health and to evaluate risk areas of Dengue transmission. Rio de Janeiro, RJ, has been suffering strong Dengue epidemics and the most severe was in 2008. To understand Dengue epidemics, this work proposes a new spatially-explicit dynamic model to simulate Aedes aegypti ecology. The model considers the influence of climate and environmental variables. It has been used to estimate the minimal quantity of breeding sites in the area of study necessary to support the oviposition rate (eggs/per week) observed during this work. The district of Higienópolis, Rio de Janeiro, RJ, Brazil has been chosen as study area due to the availability of data. Weekly samples of oviposition were collected to some census sector in this district in the period between September 2006 and March 2008 by the Oswaldo Cruz Foundation (Fiocruz, RJ) research institute. Temperature data was collected from the Galeão meteorological station, Rio de Janeiro, RJ. The developed model has been integrated with a geographical database also developed in this work. This way, the model can be used to identify places which have the biggest concentrations of breeding sites and to guide the control actions. The model here developed is based on the Ferreira e Yang (2003a) model with some improvements proposed by Otero et al. (2006). Others improvements are original contributions of this effort. For instance, a quadratic relation between the statistics of oviposition and the environmental temperature has been established, the model to the inhibition of oviposition due to excessive larval density has been developed, and a new methodology to estimate the breeding sites density of a region trough the oviposition measurements has been proposed and evaluated. The model has been implemented in the modeling software platform called TerraME. After that, it has been calibrated and validated t. Some directions for future works has been appointed.
- Published
- 2009
36. DengueME: A Tool for the Modeling and Simulation of Dengue Spatiotemporal Dynamics.
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de Lima, Tiago França Melo, Lana, Raquel Martins, de Senna Carneiro, Tiago Garcia, Codeço, Cláudia Torres, Machado, Gabriel Souza, Ferreira, Lucas Saraiva, de Castro Medeiros, Líliam César, and Davis Junior, Clodoveu Augusto
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- 2016
- Full Text
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37. The Urban Gradient in Malaria-Endemic Municipalities in Acre: Revisiting the Role of Locality.
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Dal’Asta, Ana Paula, Lana, Raquel Martins, Amaral, Silvana, Codeço, Cláudia Torres, and Monteiro, Antônio Miguel Vieira
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- 2018
- Full Text
- View/download PDF
38. Modelagem de técnicas de controle populacional do mosquito Aedes aegypti
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Silva, Monalisa Reis da, Chapiro, Grigori, Rocha, Bernardo Martins, Prezoto, Fábio, Peixoto, Pedro da Silva, and Lana, Raquel Martins
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Equações diferenciais parciais ,Aedes aegypti ,Modelagem matemática ,ENGENHARIAS [CNPQ] ,Mathematical modeling ,Partial differential equations - Abstract
O mosquito Aedes aegypti é o principal vetor transmissor de várias doenças como dengue, zika, chikungunya e febre amarela. Dentro estas, a dengue se espalhou mais rapidamente no mundo, nos últimos 50 anos. Seu controle requer um melhor entendimento da dinâmica populacional espacial do mosquito, incluindo seu ciclo de vida. A maioria dos modelos descreve a dinâmica da população total dos mosquitos com um número grande de parâmetros indefinidos. Esta abordagem não nos permite tratar aspectos topográficos e espaciais do Aedes aegypti, importantes do ponto de vista da saúde pública. Nesta tese foi modelada a dinâmica populacional espacial do mosquito Aedes aegypti usando equações diferenciais parciais. Foi apresentada uma modelagem que descreve o fenômeno de maneira satisfatória minimizando o número de variáveis e parâmetros. Mostrou-se como estimar os valores destes parâmetros a partir de dados experimentais encontrados na literatura, usando conceitos de sistemas dinâmicos e equações diferenciais parciais. O modelo desenvolvido foi aplicado em três estudos comparando os casos homogêneos (os valores dos parâmetros não dependem da topografia) e heterogêneos (alguns valores dos parâmetros mudam com a topografia, i.e., diferenciam ruas, casas e parques). São muitos os fatores que influenciam na disseminação do vetor transmissor da dengue. São apresentados resultados que evidenciam a importância de se considerar a dependência da temperatura na simulação da dinâmica populacional do Aedes aegypti. A abordagem por EDOs permite uma aplicação, uma vez que a partir de dados experimentais sobre um número máximo de mosquitos em cada fase é possível estimar a capacidade suporte da fase aquática. É apresentada uma análise sobre a frequência para a utilização de duas técnicas de controle do mosquito Aedes aegypti. No contexto das análises feitas, é possível inferir sobre a periodicidade mais eficaz de cada técnica de controle. Dessa forma, é possível adequar às formas de combate de acordo com a situação de disseminação do vetor, possibilitando aos órgãos públicos um planejamento de estratégias de prevenção e combate The Aedes aegypti mosquito is the primary vector that transmits several diseases such as dengue, Zika, chikungunya, and yellow fever. Within these, dengue has spread rapidly worldwide in the last 50 years. Its control requires a better understanding of the spatial population dynamics of the mosquito, including its life cycle. Most models describe the dynamics of the total mosquito population with many undefined parameters. This approach does not treat topographic and spatial aspects of Aedes aegypti that are important from a public health point of view. This thesis modeled the spatial population dynamics of the mosquito Aedes aegypti using partial differential equations. A presented model satisfactorily describes the phenomenon, minimizing the number of variables and parameters. It was shown how to estimate the values of these parameters from experimental data found in the literature using concepts of dynamical systems and partial differential equations. The developed model was applied in three studies comparing homogeneous (the parameter values do not depend on the topography) and heterogeneous (some parameter values change with the topography, i.e., differentiate streets, houses, and parks) cases. Many factors influence the spread of the vector that transmits dengue. Results show the importance of considering the temperature dependence in simulating the population dynamics of Aedes aegypti. The ODE approach allows an application since, from experimental data on a maximum number of mosquitoes in each phase, it is possible to estimate the carrying capacity of the aquatic phase. An analysis of the frequency for using two techniques to control the mosquito Aedes aegypti is presented. The analysis shows that it is possible to infer the most effective periodicity of each control technique. In this way, it is possible to adapt the mosquito control methodology to the dissemination of the vector, allowing public agencies to plan prevention and combat strategies.
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- 2022
39. Modelagem e simulação da dinâmica populacional do mosquito Aedes aegypti
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Lugão, Pedro Henrique Gasparetto, Chapiro, Grigori, Takahashi, Lucy Tiemi, and Lana, Raquel Martins
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Equações diferenciais parciais ,Aedes aegypti ,Mathematical modelling ,Populational dynamics ,Modelagem matemática ,Dinâmica populacional ,Numerical methods ,Métodos numéricos ,Ae. aegypti ,CIENCIAS EXATAS E DA TERRA::MATEMATICA [CNPQ] ,Partial differential equations - Abstract
CAPES - Coordenação de Aperfeiçoamento de Pessoal de Nível Superior Busca-se desenvolver neste trabalho modelos computacionais e matemáticos para a ecologia do mosquito Aedes aegypti. O trabalho justifica-se pelo impacto crescente da disseminação de doenças transmitidas pela espécie. Espera-se que os modelos possam contribuir no fornecimento de informações para tomada de decisões no controle da dengue, zika e chikungunya. Em um primeiro momento, desenvolve-se um modelo matemático baseado em ideias propostas na literatura e fatores biológicos já conhecidos. Parâmetros como taxa de emergência dos mosquitos e mortalidade serão propostos como variáveis no tempo e no espaço a partir dos conhecimentos biológicos sobre o Ae. aegypti presentes na literatura. Uma análise adicional será feita em cima de alguns parâmetros para obter valores com base em dados experimentais. Propõe-se em seguida trabalhar com o modelo matemático numericamente. Será utilizado o método de volumes finitos para a obtenção de resultados teóricos a respeito da proliferação e comportamento dos mosquitos em uma área urbana modelada com base na cidade de Juiz de Fora. Os resultados mostram como a dependência de fatores climáticos é essencial para que o modelo represente melhor a realidade, e sugere novos caminhos a serem seguidos como o estudo da aplicação de inseticidas na área urbana. Embora esta aplicação já possa ser visualizada na implementação atual, fica como um trabalho futuro a mensuração dos parâmetros relativos às substâncias utilizadas nesta técnica de controle. This work aims to report a descriptive research on the Aedes aegypti mosquito behavior through computational simulations. The motivation for this work comes from the crescent impact of the species in society. We hope that a realistic simulation can provide information that helps decision taking in the control of dengue, zika and chikungunya. Initially, a mathematical model is developed based on the literature and known biological factors. Parameters like maturation rate and mortality are proposed as time and spatial variables based on biological knowledge about the Ae. aegypti mosquito found in the literature. An additional analysis will be made in some parameters to fit the model using experimental data. After that, we propose to work in the model numerically. The finite volume method will be used to obtain theorical results in respect to the proliferation and behaviour of mosquitoes in an urban area modeled on the city of Juiz de Fora. The final results show how the climate factors dependence is essential to model’s realism, and guide us to new paths like the study of insecticide application in urban area. While the application can already be seen with the current implementation, the measurement of the parameters of the used substances in this technique is proposed as a future work.
- Published
- 2020
40. Evaluation of the design of the influenza-like illness sentinel surveillance system in Brazil.
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Freitas LP, Codeço CT, Bastos LS, Villela DAM, Cruz OG, Pacheco AG, Coelho FC, Lana RM, Carvalho LMF, Niquini RP, Almeida WAF, Silva DAD, Carvalho FC, and Gomes MFDC
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- Humans, Brazil epidemiology, SARS-CoV-2, Pandemics, Sentinel Surveillance, Influenza, Human epidemiology, Influenza, Human diagnosis, COVID-19 epidemiology, COVID-19 diagnosis
- Abstract
The influenza-like illness (ILI) sentinel surveillance operates in Brazil to identify respiratory viruses of public health relevance circulating in the country and was first implemented in 2000. Recently, the COVID-19 pandemic reinforced the importance of early detection of the circulation of new viruses in Brazil. Therefore, an analysis of the design of the ILI sentinel surveillance is timely. To this end, we simulated a sentinel surveillance network, identifying the municipalities that would be part of the network according to the criteria defined in the design of the ILI sentinel surveillance and, based on data from tested cases of severe acute respiratory illness (SARI) from 2014 to 2019, we drew samples for each sentinel municipality per epidemiological week. The draw was performed 1,000 times, obtaining the median and 95% quantile interval (95%QI) of virus positivity by Federative Unit and epidemiological week. According to the ILI sentinel surveillance design criteria, sentinel units would be in 64 municipalities, distributed mainly in capitals and their metropolitan areas, recommending 690 weekly samples. The design showed good sensitivity (91.65% considering the 95%QI) for qualitatively detecting respiratory viruses, even those with low circulation. However, there was important uncertainty in the quantitative estimate of positivity, reaching at least 20% in 11.34% of estimates. The results presented here aim to assist in evaluating and updating the ILI sentinel surveillance design. Strategies to reduce uncertainty in positivity estimates need to be evaluated, as does the need for greater spatial coverage.
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- 2024
- Full Text
- View/download PDF
41. Was the COVID-19 epidemic synchronous in space? An analysis in the health regions of the Rio de Janeiro state, 2020-2022.
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Amaral LF, Lana RM, and Bastos LS
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- Humans, Brazil epidemiology, Spatio-Temporal Analysis, Pandemics, Incidence, COVID-19 epidemiology
- Abstract
Objective: To analyze the spatio-temporal dynamics of COVID-19 in the Rio de Janeiro state within the nine health regions, between March 2020 and December 2022., Methods: The Poisson model with random effects was used to smooth and estimate the incidence of COVID-19 hospitalizations reported in the Influenza Epidemiological Surveillance Information System (SIVEP-Gripe) to verify the synchronicity of the epidemic in the state., Results: The COVID-19 epidemic in the state is characterized by the presence of seven peaks during the analyzed period corresponding to seven found. An asynchrony in hospitalizations was identified, varying according to the different virus variants in the nine health regions of the state. The incidence peaks of hospitalizations ranged from 1 to 12 cases per 100,000 inhabitants during the pandemic., Conclusion: This spatio-temporal analysis is applicable to other scenarios, enabling monitoring and decision-making for the control of epidemic diseases in different areas.
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- 2024
- Full Text
- View/download PDF
42. Identification of priority groups for COVID-19 vaccination in Brazil.
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Lana RM, Freitas LP, Codeço CT, Pacheco AG, Carvalho LMF, Villela DAM, Coelho FC, Cruz OG, Niquini RP, Porto VBG, Gava C, Gomes MFDC, and Bastos LS
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- Aged, Brazil epidemiology, Comorbidity, Hospitalization, Humans, Infant, Male, Middle Aged, SARS-CoV-2, Vaccination, COVID-19, COVID-19 Vaccines
- Abstract
In a context of community transmission and shortage of vaccines, COVID-19 vaccination should focus on directly reducing the morbidity and mortality caused by the disease. It was thus essential to define priority groups for vaccination by the Brazilian National Immunization Program (PNI in Portuguese), based on the risk of hospitalization and death from the disease. We calculated overrisk according to sex, age group, and comorbidities using hospitalization and death records from severe acute respiratory illness with confirmation of COVID-19 (SARI-COVID) in all of Brazil in the first 6 months of the epidemic. Higher overrisk was associated with male sex (hospitalization = 1.1 and death = 1.2), age over 45 years for hospitalization (OvRag ranging from 1.1 to 8.5), and age over 55 year for death (OvRag ranging from 1.5 to 18.3). In the groups with comorbidities, chronic kidney disease, diabetes mellitus, cardiovascular disease, and chronic lung disease were associated with overrisk, while there was no such evidence for asthma. Chronic kidney disease or diabetes and age over 60 showed an even stronger association, reaching overrisk of death 14 and 10 times greater than in the general population, respectively. For all the comorbidities, there was higher overrisk at older ages, with a downward gradient in the oldest age groups. This pattern was reversed when examining overrisk in the general population, for both hospitalization and death. The current study provided evidence of overrisk of hospitalization and death from SARI-COVID, assisting the definition of priority groups for COVID-19 vaccination.
- Published
- 2021
- Full Text
- View/download PDF
43. COVID-19 and hospitalizations for SARI in Brazil: a comparison up to the 12th epidemiological week of 2020.
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Bastos LS, Niquini RP, Lana RM, Villela DAM, Cruz OG, Coelho FC, Codeço CT, and Gomes MFC
- Subjects
- Adolescent, Adult, Age Distribution, Brazil epidemiology, COVID-19, Child, Child, Preschool, Epidemiological Monitoring, Female, Humans, Infant, Infant, Newborn, Influenza, Human epidemiology, Male, Middle Aged, Pandemics, SARS-CoV-2, Time Factors, Young Adult, Betacoronavirus, Coronavirus Infections epidemiology, Hospitalization statistics & numerical data, Pneumonia, Viral epidemiology, Severe Acute Respiratory Syndrome epidemiology
- Abstract
Surveillance of the severe acute respiratory illness (SARI) in Brazil aims to characterize the circulation of the Influenza A and B viruses in hospitalized cases and deaths, having been expanded in 2012 to include other respiratory viruses. COVID-19 was detected in Brazil for the time in the 9th epidemiological week of 2020, and the test for the SARS-CoV-2 virus was included in the surveillance protocol starting in the 12th epidemiological week. This study's objective was to investigate the pattern of hospitalizations for SARI in Brazil since the entry of SARS-CoV-2, comparing the temporal and age profiles and laboratory results to the years 2010 through 2019. In 2020, hospitalizations for SARI, compiled from the date of the first confirmed case of COVID-19 up to the 12th week, exceeded the numbers observed during the same period in each of the previous 10 years. The age bracket over 60 years was the most heavily affected, at higher than historical levels. There was a considerable increase in negative laboratory tests, suggesting circulation of a different virus from those already present in the panel. We concluded that the increase in hospitalizations for SARI, the lack of specific information on the etiological agent, and the predominance of cases among the elderly during the same period in which there was an increase in the number of new cases of COVID-19 are all consistent with the hypothesis that severe cases of COVID-19 are already being detected by SARI surveillance, placing an overload on the health system. The inclusion of testing for SARS-CoV-2 in the SARI surveillance protocol and the test's effective nationwide deployment are extremely important for monitoring the evolution of severe COVID-19 cases in Brazil.
- Published
- 2020
- Full Text
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44. Food (in)security in Brazil in the context of the SARS-CoV-2 pandemic.
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Oliveira TC, Abranches MV, and Lana RM
- Subjects
- Brazil, COVID-19, Coronavirus Infections epidemiology, Humans, Pneumonia, Viral epidemiology, SARS-CoV-2, Betacoronavirus, Coronavirus Infections prevention & control, Food Handling standards, Food Supply, Pandemics prevention & control, Pneumonia, Viral prevention & control
- Published
- 2020
- Full Text
- View/download PDF
45. Description and comparison of demographic characteristics and comorbidities in SARI from COVID-19, SARI from influenza, and the Brazilian general population.
- Author
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Niquini RP, Lana RM, Pacheco AG, Cruz OG, Coelho FC, Carvalho LM, Villela DAM, Gomes MFDC, and Bastos LS
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- Adolescent, Adult, Aged, Betacoronavirus, Brazil epidemiology, COVID-19, Child, Child, Preschool, Comorbidity, Coronavirus Infections complications, Demography, Female, Hospitalization, Humans, Infant, Infant, Newborn, Influenza, Human complications, Male, Middle Aged, Pandemics, Pneumonia, Viral complications, Pregnancy, Prevalence, SARS-CoV-2, Severe Acute Respiratory Syndrome epidemiology, Young Adult, Coronavirus Infections epidemiology, Influenza, Human epidemiology, Pneumonia, Viral epidemiology, Severe Acute Respiratory Syndrome virology
- Abstract
The study aims to describe patients hospitalized for severe acute respiratory illness (SARI) due to COVID-19 (SARI-COVID) in Brazil according to demographic characteristics and comorbidities up to the 21st Epidemiological Week of 2020. The study aimed to compare these characteristics with those of patients hospitalized for SARI due to influenza in 2019/2020 (SARI-FLU) and with the Brazilian general population. The proportions of demographic characteristics, comorbidities, and pregnant and postpartum women among patients hospitalized for SARI-COVID and SARI-FLU were obtained from the SIVEP-Gripe database, and the estimates for the Brazilian population were obtained from the population projections performed by Brazilian Institute of Geography and Statistics, Information System on Live Birth data, and nationwide surveys. Compared to the Brazilian population, patients hospitalized for SARI-COVID showed a higher proportion of males, elderly individuals and those aged 40 to 59 years, comorbidities (diabetes mellitus, cardiovascular disease, chronic kidney disease, and chronic lung diseases), and pregnant/postpartum women. Compared to the general population, Brazilians hospitalized for SARI-FLU showed higher prevalence rates of ages 0 to 4 years or over 60 years, white race/color, comorbidities (diabetes, chronic kidney disease, asthma, and other chronic lung diseases), and pregnant/postpartum women. The data suggest that these groups are evolving to more serious forms of the disease, so that longitudinal studies are extremely relevant for investigating this hypothesis and supporting appropriate public health policies.
- Published
- 2020
- Full Text
- View/download PDF
46. The novel coronavirus (SARS-CoV-2) emergency and the role of timely and effective national health surveillance.
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Lana RM, Coelho FC, Gomes MFDC, Cruz OG, Bastos LS, Villela DAM, and Codeço CT
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- Brazil, COVID-19, Humans, Coronavirus Infections diagnosis, Coronavirus Infections epidemiology, Coronavirus Infections therapy, Coronavirus Infections transmission, Coronavirus Infections virology, Disease Outbreaks, Pneumonia, Viral diagnosis, Pneumonia, Viral epidemiology, Pneumonia, Viral therapy, Pneumonia, Viral transmission, Public Health Surveillance
- Published
- 2020
- Full Text
- View/download PDF
47. The Urban Gradient in Malaria-Endemic Municipalities in Acre: Revisiting the Role of Locality.
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Dal'Asta AP, Lana RM, Amaral S, Codeço CT, and Monteiro AMV
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- Brazil epidemiology, Cities, Humans, Malaria epidemiology, Public Policy, Urbanization, Rural Population statistics & numerical data, Urban Population statistics & numerical data
- Abstract
Urbanization has altered the distribution of diseases of public health importance along gradients of human occupation. Adopting dichotomous urban/rural categories to explain differences in the risk of exposure, as well as the prevention of diseases is insufficient. In this paper, we present the potential of representations based on the gradient perspective to characterize the living spaces of municipalities where malaria is endemic in northwest Acre. Inventoried data in 40 localities in the Mâncio Lima and Rodrigues Alves municipalities and information on land use and land cover obtained from the TerraClass Database were used to characterize the urban spatial forms and their social content. Results showed a gradient of intensities: from municipal seats to the most connected localities through the road network to riverine communities. Based on the results, we hope to advance the discussion about the use of normative definitions of “urban” and “rural” for public policies and actions to control and eliminate malaria, considering the position of each locality in its own locally referenced urban gradient.
- Published
- 2018
- Full Text
- View/download PDF
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