LEWIS FLETCHER BUSS

(Fonte: Lattes)
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14
Projetos de Pesquisa
Unidades Organizacionais
LIM/46 - Laboratório de Parasitologia Médica, Hospital das Clínicas, Faculdade de Medicina

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Agora exibindo 1 - 10 de 33
  • article 21 Citação(ões) na Scopus
    Dataset on SARS-CoV-2 non-pharmaceutical interventions in Brazilian municipalities
    (2021) SANTOS, Andreza Aruska de Souza; CANDIDO, Darlan da Silva; SOUZA, William Marciel de; BUSS, Lewis; LI, Sabrina L.; PEREIRA, Rafael H. M.; WU, Chieh-Hsi; SABINO, Ester C.; FARIA, Nuno R.
    Brazil has one of the fastest-growing COVID-19 epidemics worldwide. Non-pharmaceutical interventions (NPIs) have been adopted at the municipal level with asynchronous actions taken across 5,568 municipalities and the Federal District. This paper systematises the fragmented information on NPIs reporting on a novel dataset with survey responses from 4,027 mayors, covering 72.3% of all municipalities in the country. This dataset responds to the urgency to track and share findings on fragmented policies during the COVID-19 pandemic. Quantifying NPIs can help to assess the role of interventions in reducing transmission. We offer spatial and temporal details for a range of measures aimed at implementing social distancing and the dates when these measures were relaxed by local governments.
  • article 12 Citação(ões) na Scopus
    Epidemiology of COVID-19 after Emergence of SARS-CoV-2 Gamma Variant, Brazilian Amazon, 2020-2021
    (2022) NICOLETE, Vanessa C.; RODRIGUES, Priscila T.; FERNANDES, Anderson R. J.; CORDER, Rodrigo M.; TONINI, Juliana; BUSS, Lewis F.; SALES, Flavia C.; FARIA, Nuno R.; SABINO, Ester C.; CASTRO, Marcia C.; FERREIRA, Marcelo U.
    The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant has been hypothesized to cause more severe illness than previous variants, especially in children. Successive SARS-CoV-2 IgG serosurveys in the Brazilian Amazon showed that agespecific attack rates and proportions of symptomatic SARS-CoV-2 infections were similar before and after Gamma variant emergence.
  • article 28 Citação(ões) na Scopus
    Serial interval distribution of SARS-CoV-2 infection in Brazil
    (2021) PRETE JR., Carlos A.; BUSS, Lewis; DIGHE, Amy; PORTO, Victor Bertollo; CANDIDO, Darlan da Silva; GHILARDI, Fabio; PYBUS, Oliver G.; OLIVEIRA, Wanderson K. de; CRODA, Julio H. R.; SABINO, Ester C.; FARIA, Nuno Rodrigues; DONNELLY, Christl A.; NASCIMENTO, Vitor H.
  • article 19 Citação(ões) na Scopus
    Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals
    (2022) BRIZZI, Andrea; WHITTAKER, Charles; SERVO, Luciana M. S.; HAWRYLUK, Iwona; JR, Carlos A. Prete; SOUZA, William M. de; AGUIAR, Renato S.; ARAUJO, Leonardo J. T.; BASTOS, Leonardo S.; BLENKINSOP, Alexandra; BUSS, Lewis F.; CANDIDO, Darlan; CASTRO, Marcia C.; COSTA, Silvia F.; CRODA, Julio; SANTOS, Andreza Aruska de Souza; DYE, Christopher; FLAXMAN, Seth; FONSECA, Paula L. C.; GEDDES, Victor E. V.; GUTIERREZ, Bernardo; LEMEY, Philippe; LEVIN, Anna S.; MELLAN, Thomas; BONFIM, Diego M.; MISCOURIDOU, Xenia; MISHRA, Swapnil; MONOD, Melodie; MOREIRA, Filipe R. R.; NELSON, Bruce; PEREIRA, Rafael H. M.; RANZANI, Otavio; SCHNEKENBERG, Ricardo P.; SEMENOVA, Elizaveta; SONNABEND, Raphael; SOUZA, Renan P.; XI, Xiaoyue; SABINO, Ester C.; FARIA, Nuno R.; BHATT, Samir; RATMANN, Oliver
    Analysis of individual-level patient records from Brazil reveals that the extensive shocks in COVID-19 mortality rates are associated with pre-pandemic geographic inequities as well as shortages in healthcare capacity during the pandemic. The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Gamma variant of concern has spread rapidly across Brazil since late 2020, causing substantial infection and death waves. Here we used individual-level patient records after hospitalization with suspected or confirmed coronavirus disease 2019 (COVID-19) between 20 January 2020 and 26 July 2021 to document temporary, sweeping shocks in hospital fatality rates that followed the spread of Gamma across 14 state capitals, during which typically more than half of hospitalized patients aged 70 years and older died. We show that such extensive shocks in COVID-19 in-hospital fatality rates also existed before the detection of Gamma. Using a Bayesian fatality rate model, we found that the geographic and temporal fluctuations in Brazil's COVID-19 in-hospital fatality rates were primarily associated with geographic inequities and shortages in healthcare capacity. We estimate that approximately half of the COVID-19 deaths in hospitals in the 14 cities could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization and pandemic preparedness are critical to minimize population-wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries.
  • article 4 Citação(ões) na Scopus
    Scale-free dynamics of COVID-19 in a Brazilian city
    (2023) POLICARPO, J. M. P.; RAMOS, A. A. G. F.; DYE, C.; FARIA, N. R.; LEAL, F. E.; MORAES, O. J. S.; PARAG, K. V.; PEIXOTO, P. S.; BUSS, L.; SABINO, E. C.; NASCIMENTO, V. H.; DEPPMAN, A.
    A common basis to address the dynamics of directly transmitted infectious diseases, such as COVID-19, are compartmental (or SIR) models. SIR models typically assume homoge-nous population mixing, a simplification that is convenient but unrealistic. Here we vali-date an existing model of a scale-free fractal infection process using high-resolution data on COVID-19 spread in Sao Caetano, Brazil. We find that transmission can be described by a network in which each infectious individual has a small number of susceptible con-tacts, of the order of 2-5. This model parameter correlated tightly with physical distancing measured by mobile phone data, such that in periods of greater distancing the model re-covered a lower average number of contacts, and vice versa. We show that the SIR model is a special case of our scale-free fractal process model in which the parameter that re-flects population structure is set at unity, indicating homogeneous mixing. Our more gen-eral framework better explained the dynamics of COVID-19 in Sao Caetano, used fewer parameters than a standard SIR model and accounted for geographically localized clusters of disease. Our model requires further validation in other locations and with other directly transmitted infectious agents.(c) 2023 Published by Elsevier Inc.
  • article 213 Citação(ões) na Scopus
    Epidemiological and clinical characteristics of the COVID-19 epidemic in Brazil
    (2020) SOUZA, William Marciel de; BUSS, Lewis Fletcher; CANDIDO, Darlan da Silva; CARRERA, Jean-Paul; LI, Sabrina; ZAREBSKI, Alexander E.; PEREIRA, Rafael Henrique Moraes; PRETE JR., Carlos A.; SOUZA-SANTOS, Andreza Aruska de; PARAG, Kris V.; BELOTTI, Maria Carolina T. D.; VINCENTI-GONZALEZ, Maria F.; MESSINA, Janey; SALES, Flavia Cristina da Silva; ANDRADE, Pamela dos Santos; NASCIMENTO, Vitor Heloiz; GHILARDI, Fabio; ABADE, Leandro; GUTIERREZ, Bernardo; KRAEMER, Moritz U. G.; BRAGA, Carlos K. V.; AGUIAR, Renato Santana; ALEXANDER, Neal; MAYAUD, Philippe; BRADY, Oliver J.; MARCILIO, Izabel; GOUVEIA, Nelson; LI, Guangdi; TAMI, Adriana; OLIVEIRA, Silvano Barbosa de; PORTO, Victor Bertollo Gomes; GANEM, Fabiana; ALMEIDA, Walquiria Aparecida Ferreira de; FANTINATO, Francieli Fontana Sutile Tardetti; MACARIO, Eduardo Marques; OLIVEIRA, Wanderson Kleber de; NOGUEIRA, Mauricio L.; PYBUS, Oliver G.; WU, Chieh-Hsi; CRODA, Julio; SABINO, Ester C.; FARIA, Nuno Rodrigues
    Brazil has one of the fastest-growing COVID-19 epidemics in the world. De Souza et al. report epidemiological, demographic and clinical findings for COVID-19 cases in the country during the first 3 months of the epidemic. The first case of COVID-19 was detected in Brazil on 25 February 2020. We report and contextualize epidemiological, demographic and clinical findings for COVID-19 cases during the first 3 months of the epidemic. By 31 May 2020, 514,200 COVID-19 cases, including 29,314 deaths, had been reported in 75.3% (4,196 of 5,570) of municipalities across all five administrative regions of Brazil. TheR(0)value for Brazil was estimated at 3.1 (95% Bayesian credible interval = 2.4-5.5), with a higher median but overlapping credible intervals compared with some other seriously affected countries. A positive association between higher per-capita income and COVID-19 diagnosis was identified. Furthermore, the severe acute respiratory infection cases with unknown aetiology were associated with lower per-capita income. Co-circulation of six respiratory viruses was detected but at very low levels. These findings provide a comprehensive description of the ongoing COVID-19 epidemic in Brazil and may help to guide subsequent measures to control virus transmission.
  • article 289 Citação(ões) na Scopus
    Three-quarters attack rate of SARS-CoV-2 in the Brazilian Amazon during a largely unmitigated epidemic
    (2021) BUSS, Lewis F.; JR, Carlos A. Prete; ABRAHIM, Claudia M. M.; JR, Alfredo Mendrone; SALOMON, Tassila; ALMEIDA-NETO, Cesar de; FRANCA, Rafael F. O.; BELOTTI, Maria C.; CARVALHO, Maria P. S. S.; COSTA, Allyson G.; CRISPIM, Myuki A. E.; FERREIRA, Suzete C.; FRAIJI, Nelson A.; GURZENDA, Susie; WHITTAKER, Charles; KAMAURA, Leonardo T.; TAKECIAN, Pedro L.; PEIXOTO, Pedro da Silva; OIKAWA, Marcio K.; NISHIYA, Anna S.; ROCHA, Vanderson; SALLES, Nanci A.; SANTOS, Andreza Aruska de Souza; SILVA, Martirene A. da; CUSTER, Brian; V, Kris Parag; BARRAL-NETTO, Manoel; KRAEMER, Moritz U. G.; PEREIRA, Rafael H. M.; PYBUS, Oliver G.; BUSCH, Michael P.; CASTRO, Marcia C.; DYE, Christopher; NASCIMENTO, Vitor H.; FARIA, Nuno R.; SABINO, Ester C.
    Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) spread rapidly in Manaus, the capital of Amazonas state in northern Brazil. The attack rate there is an estimate of the final size of the largely unmitigated epidemic that occurred in Manaus. We use a convenience sample of blood donors to show that by June 2020, 1 month after the epidemic peak in Manaus, 44% of the population had detectable immunoglobulin G (IgG) antibodies. Correcting for cases without a detectable antibody response and for antibody waning, we estimate a 66% attack rate in June, rising to 76% in October. This is higher than in Sao Paulo, in southeastern Brazil, where the estimated attack rate in October was 29%. These results confirm that when poorly controlled, COVID-19 can infect a large proportion of the population, causing high mortality.
  • article 6 Citação(ões) na Scopus
    Prolonged presence of replication-competent SARS-CoV-2 in mildly symptomatic individuals: A report of two cases
    (2021) CORREA, Maria C. Mendes; LEAL, Fabio E.; BOAS, Lucy S. Villas; WITKIN, Steven S.; PAULA, Anderson de; MENDONZA, Tania R. Tozetto; FERREIRA, Noely E.; CURTY, Gislaine; CARVALHO, Pedro S. de; BUSS, Lewis F.; COSTA, Silvia F.; CARVALHO, Flavia M. da Cunha; KAWAKAMI, Joyce; TANIWAKI, Noemi N.; PAIAO, Heuder; BIZARIO, Joao C. da Silva; JESUS, Jaqueline G. de; SABINO, Ester C.; ROMANO, Camila M.; GREPAN, Regina M. Z.; SESSO, Antonio
    It has been estimated that individuals with COVID-19 can shed replication-competent virus up to a maximum of 20 days after initiation of symptoms. The majority of studies that addressed this situation involved hospitalized individuals and those with severe disease. Studies to address the possible presence of SARS-CoV-2 during the different phases of COVID-19 disease in mildly infected individuals, and utilization of viral culture techniques to identify replication-competent viruses, have been limited. This report describes two patients with mild forms of the disease who shed replication-competent virus for 24 and 37 days, respectively, after symptom onset.
  • article 2 Citação(ões) na Scopus
    Spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals (May, 10.1038/s41591-022-01807-1, 2022)
    (2022) BRIZZI, Andrea; WHITTAKER, Charles; SERVO, Luciana M. S.; HAWRYLUK, Iwona; PRETE JR., Carlos A.; SOUZA, William M. de; AGUIAR, Renato S.; ARAUJO, Leonardo J. T.; BASTOS, Leonardo S.; BLENKINSOP, Alexandra; BUSS, Lewis F.; CANDIDO, Darlan; CASTRO, Marcia C.; COSTA, Silvia F.; CRODA, Julio; SANTOS, Andreza Aruska de Souza; DYE, Christopher; FLAXMAN, Seth; FONSECA, Paula L. C.; GEDDES, Victor E. V.; GUTIERREZ, Bernardo; LEMEY, Philippe; LEVIN, Anna S.; MELLAN, Thomas; BONFIM, Diego M.; MISCOURIDOU, Xenia; MISHRA, Swapnil; MONOD, Melodie; MOREIRA, Filipe R. R.; NELSON, Bruce; PEREIRA, Rafael H. M.; RANZANI, Otavio; SCHNEKENBERG, Ricardo P.; SEMENOVA, Elizaveta; SONABEND, Raphael; SOUZA, Renan P.; XI, Xiaoyue; SABINO, Ester C.; FARIA, Nuno R.; BHATT, Samir; RATMANN, Oliver