Advances, Perspectives and Limitations for Malaria Epidemiological Surveillance in the Brazilian Amazon
- Energy Insecurity
- Environment and Climate Change
- Health
- Sustainable Development
- Technology
Panel Abstract
Malaria represents one of the main public health issues in the developing world and is still a great challenge to Brazil. Before the 40ies, malaria cases were distributed across the national territory; after the execution of successful campaigns and the almost full elimination of malaria in the extra-Amazonian region in the 50ies to 60ies, the disease started concentrating in the Amazonian region. This region is a natural habitat to over 40 species of anopheles, some of which are potential malaria vectors, and has characteristics that favor the continuous creation of mosquitoes. This region went through successive events of exploration that led to substantial interference in the Amazonian ecosystem, including deforestation, exposing thousands of people to these vectors and consequently to malaria. On this panel, we present current research focused on “Malaria Epidemiological Surveillance” in the Brazilian Amazon, with the goal of better understanding the infection outbreaks and the impact of migration patterns. On this manner, the following papers will discuss: (1) The economic cost of malaria in Brazil; (2) Hydropower dam construction, population mobility and malaria in the Brazilian Amazon; (3) Malaria profiles in high-risk incidence municipalities in the Brazilian Amazon using PCA; (4) Malaria treatment recommendation model using ML and routine surveillance data.
"The economic cost of malaria in Brazil"
- Mônica AndradeFederal University of Minas Gerais (Brazil)Virtual
- Valéria SilvaFederal University of Minas Gerais (Brazil)
- Kenya NoronhaFederal University of Minas Gerais (Brazil)Virtual
- Bernardo CampolinaFederal University of Minas Gerais (Brazil)In-person
"Hydropower dam's construction, population mobility and malaria in the Brazilian Amazon"
- Igor JohansenCampinas State University (Brazil)Virtual
- Emilio MoranMichigan State University (United States)
"Malaria profiles in high risk incidence municipalities in the Brazilian Amazon using PCA"
- Natália ArrudaUniversity of Campinas (Brazil)In-person
- Vinicius MaiaLund University (Sweden)
- Luciana AlvesUniversity of Campinas (Brazil)Virtual
"Malaria treatment scheme model recommendation using Machine Learning and routine surveillance data"
- Carlos BeluzoFederal Institute of São Paulo (Brazil)In-person
- Everton SilvaFederal Institute of São Paulo (Brazil)Virtual
- Luciana AlvesUniversity of Campinas (Brazil)Virtual
Chair
- Álvaro D’AntonaUniversity of Campinas (Brazil)Virtual
Discussant
- Bianca CarlosUniversity of Campinas (Brazil)In-person