Literature DB >> 25545932

Geographical distribution of the association between El Niño South Oscillation and dengue fever in the Americas: a continental analysis using geographical information system-based techniques.

Marcos C Ferreira1.   

Abstract

El Niño South Oscillation (ENSO) is one climatic phenomenon related to the inter-annual variability of global meteorological patterns influencing sea surface temperature and rainfall variability. It influences human health indirectly through extreme temperature and moisture conditions that may accelerate the spread of some vector-borne viral diseases, like dengue fever (DF). This work examines the spatial distribution of association between ENSO and DF in the countries of the Americas during 1995-2004, which includes the 1997-1998 El Niño, one of the most important climatic events of 20(th) century. Data regarding the South Oscillation index (SOI), indicating El Niño-La Niña activity, were obtained from Australian Bureau of Meteorology. The annual DF incidence (AIy) by country was computed using Pan-American Health Association data. SOI and AIy values were standardised as deviations from the mean and plotted in bars-line graphics. The regression coefficient values between SOI and AIy (rSOI,AI) were calculated and spatially interpolated by an inverse distance weighted algorithm. The results indicate that among the five years registering high number of cases (1998, 2002, 2001, 2003 and 1997), four had El Niño activity. In the southern hemisphere, the annual spatial weighted mean centre of epidemics moved southward, from 6° 31' S in 1995 to 21° 12' S in 1999 and the rSOI,AI values were negative in Cuba, Belize, Guyana and Costa Rica, indicating a synchrony between higher DF incidence rates and a higher El Niño activity. The rSOI,AI map allows visualisation of a graded surface with higher values of ENSO-DF associations for Mexico, Central America, northern Caribbean islands and the extreme north-northwest of South America.

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Year:  2014        PMID: 25545932     DOI: 10.4081/gh.2014.12

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


  3 in total

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Authors:  Alice Panchaud; Miloš Stojanov; Anne Ammerdorffer; Manon Vouga; David Baud
Journal:  Clin Microbiol Rev       Date:  2016-07       Impact factor: 26.132

2.  Predicting Dengue Fever Outbreaks in French Guiana Using Climate Indicators.

Authors:  Antoine Adde; Pascal Roucou; Morgan Mangeas; Vanessa Ardillon; Jean-Claude Desenclos; Dominique Rousset; Romain Girod; Sébastien Briolant; Philippe Quenel; Claude Flamand
Journal:  PLoS Negl Trop Dis       Date:  2016-04-29

3.  Heatwaves and dengue outbreaks in Hanoi, Vietnam: New evidence on early warning.

Authors:  Jian Cheng; Hilary Bambrick; Laith Yakob; Gregor Devine; Francesca D Frentiu; Do Thi Thanh Toan; Pham Quang Thai; Zhiwei Xu; Wenbiao Hu
Journal:  PLoS Negl Trop Dis       Date:  2020-01-21
  3 in total

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