Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Maria E. Bavia"'
Autor:
Ronaldo G. C. Scholte, Nadine Schur, Maria E. Bavia, Edgar M. Carvalho, Frédérique Chammartin, Jürg Utzinger, Penelope Vounatsou
Publikováno v:
Geospatial Health, Vol 8, Iss 1, Pp 97-110 (2013)
Soil-transmitted helminths (Ascaris lumbricoides, Trichuris trichiura and hookworm) negatively impact the health and wellbeing of hundreds of millions of people, particularly in tropical and subtropical countries, including Brazil. Reliable maps of t
Externí odkaz:
https://doaj.org/article/7a42e440d12f41c1b4d999b0139d758f
Autor:
Renato L. Jr. Sandes, Cláudia L. Oliveira, Edvana S. Ferreira, Emersom Cruiff, Cezar Tavares, Antonio C.B. Santos, Carlos R. Franke, Maria E. Bavia
Publikováno v:
Geospatial Health, Vol 4, Iss 1, Pp 129-134 (2009)
Beekeeping in Brazil is growing but also associated with an increase in the number of human and animal accidents involved. In particular, bees of the Apis mellifera species (Africanized bees) are known for their aggressive behaviour and frequent swar
Externí odkaz:
https://doaj.org/article/d8fbd58b4ddd4c13950690ebc1b86494
Autor:
Deborah D.M.T. Carneiro, Maria E. Bavia, Washington J.S.F. Rocha, Antônio C.Q. Tavares, Luciana L. Cardim, Biruk Alemayehu
Publikováno v:
Geospatial Health, Vol 2, Iss 1, Pp 113-126 (2007)
Mirroring the global increase of registered cases of American visceral leishmaniasis (AVL), this infection has become a growing public health problem in Brazil during the last several years. As the traditional approach to control employed by the gove
Externí odkaz:
https://doaj.org/article/d79b40dd290b4cedac51f2c48ea73bb8
Publikováno v:
Geospatial Health, Vol 1, Iss 1, Pp 115-126 (2006)
Two predictive models were developed within a geographic information system using Genetic Algorithm Rule-Set Prediction (GARP) and the growing degree day (GDD)-water budget (WB) concept to predict the distribution and potential risk of visceral leish
Externí odkaz:
https://doaj.org/article/5122aca5fc674aa68cd21b43cf1aede5