Literature DB >> 21178211

Climate indices, rainfall onset and retreat, and malaria in Nigeria.

A J Thomson1.   

Abstract

BACKGROUND &
OBJECTIVES: Rainfall in western sub-Saharan Africa is related to seasonal shifts of the Inter-tropical Convergence Zone, which moves northward early in the year, retreating in the second half of the year. The objective of the present study was to determine significant relationships between onset and retreat timing and climate indices. The relationship between timing and malaria case reporting was then evaluated.
METHODS: Relationships between published rainfall onset and retreat dates for Nigeria from 1971- 2000 were evaluated in relation to pairs of climate indices using response surface analysis. Graphical representation of the response surface in relation to the underlying data was used to identify instances of overfitting. Association of onset and retreat timing with published case reporting records was evaluated using graphical and correlation analysis.
RESULTS: Onset timing and rate of advance were related to ENSO (El Niño-Southern Oscillation), in combination with the Northern Annular Mode (NAM), while retreat timing was related to NAO (North Atlantic Oscillation), in combination with the East Pacific (EP) or West Pacific (WP) index, depending on location. Later onset was associated with faster northward progression of onset. Retreat date at Kano, the most northerly of the study locations, increased over the period 1990-2000, with higher case reporting for Nigeria as a whole being associated with the last three years of that period. INTERPRETATION AND
CONCLUSION: Rainfall retreat occurs much faster than onset, with onset and retreat timing and rate of onset advance being related to combinations of climate indices rather than to a single index. Threshold for determining a "rainy" day would influence results. The increase in national case reporting with delayed retreat at Kano may be related to the extension of the short transmission period in the north.

Entities:  

Mesh:

Year:  2010        PMID: 21178211

Source DB:  PubMed          Journal:  J Vector Borne Dis        ISSN: 0972-9062            Impact factor:   1.688


  4 in total

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Journal:  Infect Ecol Epidemiol       Date:  2015-01-14

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Authors:  Dawit Hawaria; Hallelujah Getachew; Guofa Zhou; Assalif Demissew; Kasahun Habitamu; Beka Raya; Ming-Chieh Lee; Delenasaw Yewhalaw; Guiyun Yan
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4.  A global model of malaria climate sensitivity: comparing malaria response to historic climate data based on simulation and officially reported malaria incidence.

Authors:  Stefan Edlund; Matthew Davis; Judith V Douglas; Arik Kershenbaum; Narongrit Waraporn; Justin Lessler; James H Kaufman
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  4 in total

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