Full text: Technical Commission VIII (B8)

    
   
  
   
    
  
   
  
   
  
   
   
  
  
  
  
    
    
  
   
  
  
  
  
  
  
   
  
  
  
  
   
   
  
  
  
   
     
  
  
   
  
  
   
  
  
   
  
  
  
   
  
  
   
  
  
   
  
  
  
  
      
B8, 2012 
Metrics’, 
1d Remote 
2. 
Can DMSP- 
s?', paper 
F), Munich, 
inke, K & 
sus: Case 
Pacific 
2011, 
> Landsat 
ted to 
Germany. 
rban 
> Sensing of 
| statistics’, 
540. 
of data: 
gy 
netric 
1-7. 
, 
al fallacy', 
ient, 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 
XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia 
REMOTE SENSING IN A CHANGING CLIMATE AND ENVIRONMENT: 
THE RIFT VALLEY FEVER CASE 
Y. M. Tourre*, J.-P. Lacaux®, C. Vignolles®, and M. Lafaye“ 
? Meteo-France and Lamont-Doherty of Columbia University, Palisades, 10964, NY ( 
^ CNRS/OMP, Laboratoire d' Aérologie, Toulouse, France (1 
* Centre National d'Etudes Spatiales (CNES), Toulouse, France (cecil.vigno 
/vestourre € aol.com) 
fr) 
Îles @cnes.fr, 
    
acip C aero.obs-mi 
     
  
murielle.lafave @cnes.fr) 
  
Commission VIII, WG VIIU2 Health 
Keywords: Climate change, Public health, Remote sensing, Risk mapping, Infectious diseases, Early warning systems 
ABSTRACT 
Climate and environment are changing rapidly whilst global population already reached 7 billions people. New public health 
challenges are posed by new and re-emerging diseases. Innovation is a must i.e., 1) using high resolution remote sensing, 2) 
re-invent health politics and trans-disciplinary management. The above are part of the ‘TransCube Approach” i.e, Transition, 
Translation, and Transformation. The new concept of Tele-epidemiology includes such approach. À conceptual approach 
(CA) associated with Rift Valley Fever (RVF) epidemics in Senegal is presented. Ponds are detected using high-resolution 
SPOT-5 satellite images and radar data from space. Data on rainfall events obtained from the Tropical Rainfall Measuring 
Mission (NASA/JAXA) are combined with in-situ data. Localization of vulnerable and parked hosts (obtained from 
QuickBird satellite) is also used. The dynamic spatio-temporal distribution and aggressiveness of RVF mosquitoes, are based 
on total rainfall amounts, ponds" dynamics and entomological observations. Detailed risks maps (hazards vulnerability) in 
real-time are expressed in percentages of parks where animals are potentially at risks. This CA which simply relies upon 
rainfall distribution from space, is meant to contribute to the implementation of the RVF early warning system (RVFews). It 
is meant to be applied to other diseases and elsewhere. This is particularly true in new places where new vectors have been 
rapidly adapting (such as Aedes albopictus) whilst viruses (such as West Nile and Chikungunya,) circulate from constantly 
moving reservoirs and increasing population. 
I. INTRODUCTION 
1. The Varying Climate 
Climate changes and varies at all time scales. Natural 
climate signals fluctuations have been identified from the 
diurnal, to multi-decadal (MD) periods along with 
seasonal,  quasi-biennial —(QB),  El-Nifio-Southern 
Oscillation (ENSO), quasi-decadal (QD) and inter- 
decadal (ID) oscillations at least (Tourre and White, 
2006). Adding to these fluctuations is the anthropogenic 
component, from population increase and energetic 
needs. All fluctuations are interacting, with direct impacts 
on public health. 
2. Climate Variability and Public Health 
Climate variability and change bring global inequalities 
(Plan Bleu, 2008) associated with economic migration 
(enhancing that from political turmoil). Changes have 
been observed in nutrient budget, virus and bacteria 
circulation, all impacting public health. Total primary 
energy demand is expected to increase by -60% during 
the first quarter of the 21st century. Socio-economical 
chaos should have impacts on the environment and public 
health i.e., infectious diseases, respiratory and circulatory 
problems, pollution, allergens, impaired immune systems, 
new and re-emerging diseases. Health issues are also 
associated with poor water quality and malnutrition. Most 
emerging (or re-emerging) infectious diseases are due 
partly to the introduction of new pathogenic agents from 
wildlife into new and unprepared population, thus 
creating new hazards and risks. Processes may depend 
upon, sanitation levels, and/or breakdowns in health 
information systems (HIS). 
3. Climate Variability and Infectious Diseases 
Almost 7596 of actual infectious diseases in humans are 
zoonoses. The last quarter of the 20th century has 
witnessed an explosion of environmentally-related 
illnesses. For infectious diseases, this includes increases 
in the prevalence, incidence and geographical distribution 
across wide taxonomic ranges, related to 
climate/environment changes and practical changes in 
land-use. 
Direct health effects of climate variability include: 
changes in morbidity and mortality from heat-waves and 
thermal stress (such as in 2003 over southwest Europe; in 
2007 over Italy and Greece); respiratory ailments 
associated with modified concentrations of aero-allergens 
(spores, moulds, fungus) and/or air pollutants; health 
consequences from extreme weather events, including 
storms, cold waves, floods, storm surges, droughts, 
windstorms, among others. Indirect health effects, 
include alterations in the ecology, range and activity of 
vector-borne infectious diseases (i.e., Malaria, West Nile 
Virus from Africa to USA, Rift Valley Fever from Kenya 
to Senegal and Mauritania, Avian Flu, Chikungunya from 
the Indian Ocean to southern France and northern Italy, 
Dengue Fever from central America to Florida, New
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.