Literature DB >> 29239555

Analytical report of the 2016 dengue outbreak in Córdoba city, Argentina.

Camilo Rotela1, Laura Lopez, María Frías Céspedes, Gabriela Barbas, Andrés Lighezzolo, Ximena Porcasi, Mario A Lanfri, Carlos M Scavuzzo, David E Gorla.   

Abstract

After elimination of the Aedes aegypti vector in South America in the 1960s, dengue outbreaks started to reoccur during the 1990s; strongly in Argentina since 1998. In 2016, Córdoba City had the largest dengue outbreak in its history. In this article we report this outbreak including spatio-temporal analysis of cases and vectors in the city. A total of 653 dengue cases were recorded by the laboratory-based dengue surveillance system and georeferenced by their residential addresses. Case maps were generated from the epidemiological week 1 (beginning of January) to week 19 (mid-May). Dengue outbreak temporal evolution was analysed globally and three specific, high-incidence zones were detected using Knox analysis to characterising its spatio-temporal attributes. Field and remotely sensed data were collected and analysed in real time and a vector presence map based on the MaxEnt approach was generated to define hotspots, towards which the pesticide- based strategy was then targeted. The recorded pattern of cases evolution within the community suggests that dengue control measures should be improved.

Entities:  

Keywords:  Argentina; Córdoba; Dengue outbreak; Operational tools; Remote sensing

Mesh:

Year:  2017        PMID: 29239555     DOI: 10.4081/gh.2017.564

Source DB:  PubMed          Journal:  Geospat Health        ISSN: 1827-1987            Impact factor:   1.212


  4 in total

1.  Infection and transmission of Cache Valley virus by Aedes albopictus and Aedes aegypti mosquitoes.

Authors:  Victoria B Ayers; Yan-Jang S Huang; Amy C Lyons; So Lee Park; James I Dunlop; Isik Unlu; Alain Kohl; Stephen Higgs; Bradley J Blitvich; Dana L Vanlandingham
Journal:  Parasit Vectors       Date:  2019-07-31       Impact factor: 3.876

2.  Feature importance: Opening a soil-transmitted helminth machine learning model via SHAP.

Authors:  Carlos Matias Scavuzzo; Juan Manuel Scavuzzo; Micaela Natalia Campero; Melaku Anegagrie; Aranzazu Amor Aramendia; Agustín Benito; Victoria Periago
Journal:  Infect Dis Model       Date:  2022-02-03

3.  Temperature, traveling, slums, and housing drive dengue transmission in a non-endemic metropolis.

Authors:  Juan Manuel Gurevitz; Julián Gustavo Antman; Karina Laneri; Juan Manuel Morales
Journal:  PLoS Negl Trop Dis       Date:  2021-06-11

4.  Is autumn the key for dengue epidemics in non endemic regions? The case of Argentina.

Authors:  Anibal E Carbajo; Maria V Cardo; Pilar C Guimarey; Arturo A Lizuain; Maria P Buyayisqui; Teresa Varela; Maria E Utgés; Carlos M Giovacchini; Maria S Santini
Journal:  PeerJ       Date:  2018-07-17       Impact factor: 2.984

  4 in total

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