OBJECTIVES: To explore the variation in the spatial distribution of notified dengue cases in Colombia from January 2007 to December 2010 and examine associations between the disease and selected environmental risk factors. METHODS: Data on the number of notified dengue cases in Colombia were obtained from the National Institute of Health (Instituto Nacional de Salud - INS) for the period 1 January 2007 through 31 December 2010. Data on environmental factors were collected from the Worldclim website. A Bayesian spatio-temporal conditional autoregressive model was used to quantify the relationship between monthly dengue cases and temperature, precipitation and elevation. RESULTS: Monthly dengue counts decreased by 18% (95% credible interval (CrI): 17-19%) in 2008 and increased by 30% (95% CrI: 28-31%) and 326% (95% CrI: 322-331%) in 2009 and 2010, respectively, compared to 2007. Additionally, there was a significant, nonlinear effect of monthly average precipitation. CONCLUSIONS: The results highlight the role of environmental risk factors in determining the spatial of dengue and show how these factors can be used to develop and refine preventive approaches for dengue in Colombia.
OBJECTIVES: To explore the variation in the spatial distribution of notified dengue cases in Colombia from January 2007 to December 2010 and examine associations between the disease and selected environmental risk factors. METHODS: Data on the number of notified dengue cases in Colombia were obtained from the National Institute of Health (Instituto Nacional de Salud - INS) for the period 1 January 2007 through 31 December 2010. Data on environmental factors were collected from the Worldclim website. A Bayesian spatio-temporal conditional autoregressive model was used to quantify the relationship between monthly dengue cases and temperature, precipitation and elevation. RESULTS: Monthly dengue counts decreased by 18% (95% credible interval (CrI): 17-19%) in 2008 and increased by 30% (95% CrI: 28-31%) and 326% (95% CrI: 322-331%) in 2009 and 2010, respectively, compared to 2007. Additionally, there was a significant, nonlinear effect of monthly average precipitation. CONCLUSIONS: The results highlight the role of environmental risk factors in determining the spatial of dengue and show how these factors can be used to develop and refine preventive approaches for dengue in Colombia.
Authors: André Barretto Bruno Wilke; Rafael de Oliveira Christe; Laura Cristina Multini; Paloma Oliveira Vidal; Ramon Wilk-da-Silva; Gabriela Cristina de Carvalho; Mauro Toledo Marrelli Journal: PLoS One Date: 2016-08-23 Impact factor: 3.240
Authors: Gustavo Dayan; Jose L Arredondo; Gabriel Carrasquilla; Carmen C Deseda; Reynaldo Dietze; Kleber Luz; Maria Selma N Costa; Rivaldo V Cunha; Luis C Rey; Javier Morales; Humberto Reynales; Maria Miranda; Betzana Zambrano; Enrique Rivas; Pedro Garbes; Fernando Noriega Journal: Am J Trop Med Hyg Date: 2015-05-26 Impact factor: 2.345
Authors: Jane P Messina; Moritz Ug Kraemer; Oliver J Brady; David M Pigott; Freya M Shearer; Daniel J Weiss; Nick Golding; Corrine W Ruktanonchai; Peter W Gething; Emily Cohn; John S Brownstein; Kamran Khan; Andrew J Tatem; Thomas Jaenisch; Christopher Jl Murray; Fatima Marinho; Thomas W Scott; Simon I Hay Journal: Elife Date: 2016-04-19 Impact factor: 8.140
Authors: Amy R Krystosik; Andrew Curtis; Paola Buritica; Jayakrishnan Ajayakumar; Robert Squires; Diana Dávalos; Robinson Pacheco; Madhav P Bhatta; Mark A James Journal: PLoS One Date: 2017-08-02 Impact factor: 3.240