Integrating Remotely Sensed Climate and Environmental Information into Public Health

Authored by: Dale A. Quattrochi , Elizabeth A. Wentz , Nina Siu-Ngan Lam , Charles W. Emerson , Pietro Ceccato , Stephen Connor , Tufa Dinku , Andrew Kruczkiewicz , Jerrod Lessel , Alexandra Sweeney , Madeleine C. Thomson

Integrating Scale in Remote Sensing and GIS

Print publication date:  January  2017
Online publication date:  January  2017

Print ISBN: 9781482218268
eBook ISBN: 9781315373720
Adobe ISBN:

10.1201/9781315373720-12

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Abstract

During the last 30 years, the development of geographical information systems (GIS) and satellites for Earth observation has made important progress possible in the monitoring of the weather, climate, and environmental and anthropogenic factors that influence the reduction or the reemergence of vector-borne diseases. Analyses resulting from the combination of GIS and remote sensing have improved knowledge of climatic, environmental, and biodiversity factors (Witt et al. 2011; Al-Hamdan et al. 2014), influencing vector-borne diseases such as malaria (Beck et al. 1997; Omumbo et al. 1998; Ceccato et al. 2005a; Baeza et al. 2013), visceral leishmaniasis (VL) (Bhunia et al. 2010, 2012; Sweeney et al. 2014), dengue (Buczak et al. 2012; Moreno-Madriñán et al. 2014; Machault et al. 2014), Rift Valley fever (Linthicum et al. 1999; Anyamba et al. 2009), schistosomiasis (Simoonga et al. 2009; Walz et al. 2015), Chagas’ disease (Kitron et al. 2006; Roux et al. 2011), and leptospirosis (Herbreteau et al. 2006; Skouloudis and Rickerby 2015). This knowledge and products developed using remotely sensed data helped and continue to help decision makers to better allocate limited resources in the fight against vector-borne diseases.

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