
Project information
Alisson F. Barbieri (barbieri@cedeplar.ufmg.br)
Universidade Federal de Minas Gerais (Brasil)
Nov 2012/ Oct 2017,USD 906,500
Brasil, Ecuador, EE.UU., Perú
http://www.citeulike.org/user/IAI/tag/crn3036
Results Outreach Investigators Students Executive summary
Policy brief: Environmental conditions affect human health in the Amazon forest
Results
This is a summary of the most salient project results. For further information see the project website, project papers or contact the investigators directly.
The project is in the data acquisition stage on ecological and social factors determining insect born disease incidence: in one Amazonian municipality, 180 household questionnaires on land use, socioeconomics and demography, history of environmental or health shocks, and the perceptions of a planned hydroelectric dam in the municipality; and data on all malaria cases were collected from the National Health Foundation office. This database is being integrated into a GIS and linked to a previous 2010 field survey. To provide ecological context, a refined high-resolution classification of land use is implemented using the spatial contexts of pixels, including tree shadows or water, instead of the pixel-by-pixel spectral classification on TM Landsat 5 imagery.
In Peru, data on 313 households are being cleaned: anthropometric measurements on family members, attitudes, satisfaction, vulnerability and security, and hair-mercury levels. This is related to an original 1999 survey of 100 farms which through subdivision now include some 300 households.
In Ecuador, 225 questionnaires of household heads and 178 of spouses were collected for the first time on tablets. It surveyed dengue and leishmaniasis risk, and established links to the ecology of leishmaniasis vectors. Mercury toxicity, emerging chronic disease and neurological assessments of children exposed to mercury were examined by a PhD student of criminal justice. Results from the US team on fish consumption and mercury exposure were provided to the Ministry of Health.
Outreach

Going for the gold sends mercury down the river, 21 January 2015, npr.org

They’re going door to door in the Amazon to see why people get sick, 19 May 2015, npr.org

Using NASA satellite data to predict malaria outbreaks, 13 September 2017, NASA
https://www.youtube.com/embed/c6g2ILL–Rw?rel=0
Using NASA satellite data to predict malaria outbreaks
https://www.youtube.com/embed/uG2WqDBaDG4?rel=0
The study of chronic diseases in Peru. Jaime Miranda | TEDxTukuy (in Spanish)
Project investigators
Ulisses Confalonieri (pmags@ensp.fiocruz.br)
UFMG/CEDEPLAR, Brasil
Laura Rodriguez Wong (lwong@cedeplar.ufmg.br)
UFMG/CEDEPLAR, Brasil
Gilvan Guedes (grguedes@cedeplar.ufmg.br)
UFMG/CEDEPLAR, Brasil
William Pan (william.pan@duke.edu)
Duke University, EEUU
Carlos Mena (cmena@usfg.edu.ec)
Universidad San Francisco de Quito, Ecuador
Alejandro Llanos Cuenta (elmer.llanos@upch.pe)
Universidad Peruana Cayetano Heredia, Perú
Jaime Miranda (Jaime.miranda@upch.pe)
Universidad Peruana Cayetano Heredia, Perú
Beth Feingold
Albany School of Public Health, EEUU.
Students
Ahlam Abuawad, maestría, University at Albany, EEUU
Ana Carolina Ferdandes Dias, grado, Universidade Federal de Minas Gerais, Brasil
Andressa Lopes Rodrigues, grado, Universidade Federal de Minas Gerais, Brasil
Angela Zhang, grado, Duke University, EEUU
Anthony Saxton, maestría, Duke University, EEUU
Austin Peer, grado, Duke University, EEUU
Axel Berky, maestría, Duke University, EEUU
Caren Weinhouse, doctorado, Duke University, EEUU
Carmen Guzman, maestría, Universidad San Francisco de Quito, Ecuador
Carolina Sampedro, maestría, Universidad San Francisco de Quito, Ecuador
Celeste Butts, doctorado, University at Albany, EEUU
Christina Chao, maestría, Duke University, EEUU
Diego Azanedo Vilchez, grado, Universidad Católica los Ángeles de Chimbote, Perú
Diego Fonseca, maestría, Universidade Federal de Minas Gerais, Brasil
Dominic Lucero, maestría, Duke University, EEUU
Eduardo Rogelio Fernandez, doctorado, Universidade Federal de Minas Gerais, Brasil
Gabriel Henrique O. Assuncao, grado, Universidade Federal de Minas Gerais, Brasil
Gabriela Guerra, otros, Universidad San Francisco de Quito, Ecuador
Helena Fristak, maestría, University of Virginia, Brasil
Hugo Valdivia, doctorado, Universidade Federal de Minas Gerais, Perú
Jaeok Kim, doctorado, University at Albany, EEUU
Javiera Alarcon, grado, Universidad San Francisco de Quito, Ecuador
Jessica Cain, maestría, Duke University, EEUU
Joao Pedro Samarino, grado, Universidade Federal de Minas Gerais, Brasil
Jose Luis Aviles Escribens, doctorado, Universidad Perúana Cayetano Heredia, Perú
Joshua Latner, grado, Duke University, EEUU
Julia Menezes,doctorado, Fundacion Oswaldo Cruz, Brasil
Juliana Vasconcelos, doctorado, Universidade Federal de Minas Gerais, Brasil
Justin Lana, doctorado, Duke University, EEUU
Laia Muñoz, maestría, Universidad San Francisco de Quito, Ecuador
Laura Rogers, grado, Duke University, EEUU
Lauren Wyatt, doctorado, Duke University, EEUU
Luz Rodriguez, doctorado, Duke University, Colombia
Madison Krischak, grado, Duke University, EEUU
Marcos Maguina, maestría, San Marcos University, Perú
Margot Neveaux, grado, Duke University, EEUU
Mariana de Araújo Cunha, grado, Universidade Federal de Minas Gerais, Brasil
Michel Bárrios Lopez, doctorado, Universidade Federal de Minas Gerais, Cuba
Pedro Cisalpino Pinheiro, maestría, Universidade Federal de Minas Gerais, Brasil
Pilar Carolina Ruiz, doctorado, Universidade Federal de Minas Gerais, Brasil
Pooja Meeja, grado, Duke University, EEUU
Priyanka Krishnan, grado, Duke University, EEUU
Rafael Andrés Urrego Posada, doctorado, Universidade Federal de Minas Gerais, Colombia
Reinaldo Onofre dos Santos, doctorado, Universidade Federal de Minas Gerais, Brasil
Roberto del Pozo, maestría, Universidad San Francisco de Quito, Ecuador
Saori Bazalar Palacios, grado, Universidad Católica los Ángeles de Chimbote, Perú
Sarah Diringer, doctorado, Duke University, EEUU
Sarah Nuss, grado, Duke University, EEUU
Sarah Thornburg, grado, Duke University, EEUU
Tiago Lima do Nascimento, doctorado, Universidade Federal de Minas Gerais, Brasil
Vanessa Ferreira, maestría, Universidade Federal de Minas Gerais, Brasil
Victoria Salinas, doctorado, Universidade Federal de Minas Gerais, Brasil
Yesmit Pisfil Ramirez, grado, Universidad Católica los Ángeles de Chimbote, Perú.
Executive summary
Land Use and Land Cover Changes (LULCC), and a changing climate have important impacts on the natural environment and the human population of the Amazon. Forest conversion in Amazonia influences the dynamics of endemic infectious diseases such as malaria, yellow fever and leishmaniasis. Local societies, considered as complex social-ecological systems, have inter-linkages between social, environmental and epidemiological phenomena which will be approached by using several multivariate and qualitative methods. Agent Based Modeling (ABM) will also be used to produce LULCC and vulnerability scenarios. ABMs are capable of representing feedback loops and critical thresholds at very low levels of social aggregation or scales and, in the process of modeling, the actions of agents and their effects will create a series of possible scenarios.
Four field sites will be investigated in Western Amazonia, a rich biodiversity hotspot: Machadinho, in Rondônia (Brazil); Madre de Dios and Loreto, in Peru; and Northern Ecuadorian Amazon. Inputs from multivariate and qualitative methods and ABMs will be used to develop an Index of Social Environmental and Health Vulnerability of the territories to the impacts of global environmental changes. An outreach strategy is proposed through workshops with local stakeholders and the design of appropriate materials for the dissemination of the results of the project.



