Remote Sensing for Malaria

Monitoring and Predicting Malaria from Operational Satellites

Specificaties
Gebonden, blz. | Engels
Springer International Publishing | e druk, 2020
ISBN13: 9783030460198
Rubricering
Springer International Publishing e druk, 2020 9783030460198
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

This book presents research using high-resolution operational satellite data for monitoring and assessing numerically how to reduce the area and intensity of malaria outbreaks. Satellite data and imageries a powerful and effective tool for malaria monitoring and reduction of the number of affected people as it bypasses the limitations imposed by the dearth of near-the-ground weather data in many malaria-prone areas. With this in mind, this volume provides readers with:

In-depth information in monitoring signs of malaria from operational polar-orbiting satellites

Examples of country-specific models for predicting malaria area (1 and 4 km2 resolution) and intensity

Information on the how the effects of climate change on malaria outbreak area and intensity can be monitored

A new Vegetation Health (VH) methodology to estimate vegetation moisture, temperature and moisture/temperature conditions as indicators of malaria vector activity

Advice to userson the application of VH technology for early assessments of malaria area, intensity and risk level

Remote Sensing for Malaria is intended for an audience of public health practitioners, environmentalists, and students and researchers working in spatial epidemiology and disease prevention.

Specificaties

ISBN13:9783030460198
Taal:Engels
Bindwijze:gebonden
Uitgever:Springer International Publishing

Inhoudsopgave

Chapter 1-Introduction. Chapter 2-Malaria burden. Chapter 3-Malaria vector and environment. Chapter 4-Satellite sensors. Chapter 5-Vegetation health technology. Chapter 6-Modeling malaria vector and disease. Chapter 7-Climate warming and changes in malaria tendencies and distribution. Chapter 8-Malaria monitoring and prediction. 

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        Remote Sensing for Malaria