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This article is part of the supplement: Towards a research agenda for global malaria elimination

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Global warming and malaria: knowing the horse before hitching the cart

Paul Reiter

Malaria Journal 2008, 7(Suppl 1):S3  doi:10.1186/1475-2875-7-S1-S3

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Malaria surveillance-response strategies in different transmission zones of the People's Republic of China: preparing for climate change

Guo-Jing Yang, Marcel Tanner, Jürg Utzinger, John B Malone, Robert Bergquist, Emily YY Chan, Qi Gao, Xiao-Nong Zhou Malaria Journal 2012, 11:426 (21 December 2012)

The authors present a prediction map of P. vivax malaria transmission in China and discuss its implications for future malaria control and elimination within the country, particularly within the context of past and future climate scenarios.

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The dominant Anopheles vectors of human malaria in Africa, Europe and the Middle East: occurrence data, distribution maps and bionomic précis

Marianne E Sinka, Michael J Bangs, Sylvie Manguin, Maureen Coetzee, Charles M Mbogo, Janet Hemingway, Anand P Patil, Will H Temperley, Peter W Gething, Caroline W Kabaria, Robi M Okara, Thomas Van Boeckel, H Charles J Godfray, Ralph E Harbach, Simon I Hay Parasites & Vectors 2010, 3:117 (3 December 2010)

To help target malaria control efforts in Africa and prevent its re-emergence in Europe, we present contemporary distribution maps and relevant bionomic information for the seven dominant vector species (DVS) of Africa and the six DVS found across Europe and the Middle East. Image: Occurrence data and predicted distribution of An. gambiae, one of the DVS of Africa.

Research   Open Access Highly Accessed

Relevant microclimate for determining the development rate of malaria mosquitoes and possible implications of climate change

Krijn P Paaijmans, Susan S Imbahale, Matthew B Thomas, Willem Takken Malaria Journal 2010, 9:196 (9 July 2010)

The relationship between mosquito development and temperature is one of the keys to understanding the current and future dynamics and distribution of vector-borne diseases such as malaria. In this study, both air and water temperatures were fed into a temperature-dependent development model and their impact on predicted vector abundance was assessed.