<div> Pesquisa de Percepção sobre a Covid19 Poderiam responder e divulgar? Gostaríamos que pessoas de todos os estados respondessem! <a href="https://docs.google.com/forms/d/e/1FAIpQLSceS_fVG-_Q7vY_dE302ajYdbRZUF411rQFi5ib5WGeu2OLGA/viewform">https://docs.google.com/forms/d/e/1FAIpQLSceS_fVG-_Q7vY_dE302ajYdbRZUF411rQFi5ib5WGeu2OLGA/viewform</a> </div> <div> <hr>Assunto: [ABE-L] Seminários de Pós-graduação PPGE-UFPE: Edneide Ramalho - LIKA/UFPE (15/07 - 16h00) x De: abe-l@ime.usp.br Enviado em: 9 de julho de 2020 09:50 Para: abe-l@ime.usp.br </div> <div dir="ltr"> <div> Bom dia para todos(as), </div> <div> </div> <div> Segue a informação do seminário que teremos na próxima semana no Ciclo de Seminários de Pós-graduação PPGE-UFPE. A agenda completa de seminários confirmados para 2020 pode ser acessada pelo site: <a href="https://sites.google.com/view/seminarios-ppge-ufpe" target="_blank">https://sites.google.com/view/seminarios-ppge-ufpe</a>. </div> <div> </div> <div> <div class="gmail_quote"> <div> Próxima palestra - 15/07 (16h00) (transmissão online via Google Meet pelo link: <a href="http://meet.google.com/icc-kckb-xrs" target="_blank">meet.google.com/icc-kckb-xrs</a>): </div> <div> </div>Título: Using Mathematical Models to Simulate Disease Spread: Testing Control Strategies For Chagas Disease. Palestrante: Edneide Ramalho - LIKA/UFPE. Resumo: Chagas disease is one of the 20 Neglected Tropical Diseases, being an important health care problem mainly in Latin America. Although Brazil has received the certificate of elimination of vector transmission due to T. infestans in 2006, other species still representing a risk of house invasion, domiciliation, and infection. In a multidisciplinary collaboration, mathematical models can be used as an important tool to assess different aspects of the infection dynamics. The model aim is to evaluate and quantify the effect of combined control strategies for transmission reduction. In order to do so, different categories of models can be applied, as compartmental, individual-based, transmission dynamic, static, network and so on. A compartmental model was chosen to simulate Chagas disease transmission considering human, triatomine bugs (the disease’s vector), non-competent hosts (like chickens and turkeys, which are not involved in the infection process but are food source for the disease vector), and competent animals (such as domestic mammals, pigs, horses, cattle, etc. which are all part of infection process). Each one of the considered individuals can either be susceptible or infected. A system of differential equations representing the infection dynamics is numerically simulated, after the appropriate assignment for the values in the model’s parameters. In the numerical simulations, different scenarios regard control strategies were tested providing the proportion of infected individuals over time, in addition to the number of new cases. When applied in combination, control strategies can significantly reduce the number of new cases, nevertheless, even if they are applied for a long time and reduction reaches very low levels, once they stop, the number of new cases, and thus the proportion of infected individuals increase rapidly. As we can notice, mathematical models can be used to test and optimize control strategies in disease spread, as well as to help in decision-making process in health policies. The model shows that Chagas disease is persistent in time, thus in addition to improvement and maintenance of control strategies, treatment is indispensable. </div> <div class="gmail_quote"> </div> <div class="gmail_quote"> Sobre a palestrante: Atualmente realiza estágio pós-doutoral na UFPE em parceria com o CIn (Centro de Informática) e o LIKA (Laboratório de Imunopatologia Keizo Asami). Tem graduação em Licenciatura Plena em Física pela Universidade Federal Rural de Pernambuco (2013), mestrado em Biometria e Estatística Aplicada pela Universidade Federal Rural de Pernambuco (2015) e doutorado em Biometria e Estatística Aplicada pela Universidade Federal Rural de Pernambuco (2019), com estágio doutoral de um ano na Universitat Politècnica da Catulunya - BarcelonaTech. Tem experiência na área de Probabilidade e Estatística aplicada, com ênfase em análise de dados em ciências da saúde, e programação em R e Pyhton. Tem interesse em modelagem e simulação de sistemas biológicos, com ênfase em espalhamento de enfermidades e epidemiologia. (Fonte: Currículo Lattes). </div> <div class="gmail_quote"> </div> <div class="gmail_quote"> Estão todos(as) convidados(as)! </div> <div class="gmail_quote"> </div> <div class="gmail_quote"> Um abraço </div> <div class="gmail_quote"> Pablo Rodriguez </div> </div> </div>