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Forests as the key interface
between humans and infectious
diseases—what is the role of
CGIAR?
Prof. John E. Fa
CIFOR, Bogor, Indonesia.
Manchester Metropolitan University, Manchester, UK.
Peterson, Bauers & Mills (2004) Pigott, Golding, Mylne, Huang et al. (2016)
Olivero, Fa, Real, Farfán, Márquez et al. (2017)
Case Study - Ebola virus
Ebola virus
distribution is
linked to African
rainforests
“Suspect-mammal” CHOROTYPES in Africa
Spatio-temporal
autocorrelation
Deforestation
Forest loss and risk of Ebola-virus transmission
There is significant bat-Ebola-deforestation link for:
- 5 fruit-bat species (Eidolon helvum, Epomops franqueti, Megaloglossus woermanni, Micropteropus pusillus and
Rousettus aegyptiacus)
- 4 of them are serologically related to the Ebola virus (only 8 Pteropodidae bat species are serologically related to
the EV) J Olivero , JE Fa, MA Farfán, AL Márquez, R Real, FJ Juste, SA Leendertz, R Nasi
20 species, Family Pteropodidae
Epomops franqueti
Human
activities
Non-human
factors
Do they overlap?
Fruit bats, Ebola-virus and forest loss
Main conclusions:
- 5 climatic oscillation indices are significantly teleconnected with EVD outbreaks (with the Pacific Decadal Oscillation,
PDO, being the most relevant index).
- The outbreak occurrence is favoured by negative Pacific Decadal Oscillation Index (PDO) values 6 months to one
yearbefore.
- This teleconnection is more significant in the areas with intermediate biogeographical favourability to the
presence of the EV (i.e. in the margins of the rainforest domain).
- There are reliable chances for predicting high-EVD-risk periods with 6 to 12 months of anticipation (which is useful
for an EV observatory).
Any phenomenon depending on local weather can be connected to macroclimatic causes in addition to local
influences, as it is controlled by remote atmospheric and oceanic circulatory patterns that work on a large scale
EVD outbreaks and atmosphere oscillation indices (in
prep.)
Mammal
chorotypes
Favorable areas for the Ebola virus
Recent outbreak site:
Local mammal
species assemblage
EVD outbreaks
favored
by forest loss
Deforested areas
during the
last two years
Local meteorology
Increased chances
for outbreaks
two months later
Ocean-athmosphere oscillations
Increased chances
for outbreaks
during
the following year
Tools for prevention and response:
The challenge of predicting
risk of outbreaks
And now what?
Where?
When?

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Forests as the key interface between humans and infectious diseases—what is the role of CGIAR?

  • 1. Forests as the key interface between humans and infectious diseases—what is the role of CGIAR? Prof. John E. Fa CIFOR, Bogor, Indonesia. Manchester Metropolitan University, Manchester, UK.
  • 2. Peterson, Bauers & Mills (2004) Pigott, Golding, Mylne, Huang et al. (2016) Olivero, Fa, Real, Farfán, Márquez et al. (2017) Case Study - Ebola virus Ebola virus distribution is linked to African rainforests
  • 5. There is significant bat-Ebola-deforestation link for: - 5 fruit-bat species (Eidolon helvum, Epomops franqueti, Megaloglossus woermanni, Micropteropus pusillus and Rousettus aegyptiacus) - 4 of them are serologically related to the Ebola virus (only 8 Pteropodidae bat species are serologically related to the EV) J Olivero , JE Fa, MA Farfán, AL Márquez, R Real, FJ Juste, SA Leendertz, R Nasi 20 species, Family Pteropodidae Epomops franqueti Human activities Non-human factors Do they overlap? Fruit bats, Ebola-virus and forest loss
  • 6. Main conclusions: - 5 climatic oscillation indices are significantly teleconnected with EVD outbreaks (with the Pacific Decadal Oscillation, PDO, being the most relevant index). - The outbreak occurrence is favoured by negative Pacific Decadal Oscillation Index (PDO) values 6 months to one yearbefore. - This teleconnection is more significant in the areas with intermediate biogeographical favourability to the presence of the EV (i.e. in the margins of the rainforest domain). - There are reliable chances for predicting high-EVD-risk periods with 6 to 12 months of anticipation (which is useful for an EV observatory). Any phenomenon depending on local weather can be connected to macroclimatic causes in addition to local influences, as it is controlled by remote atmospheric and oceanic circulatory patterns that work on a large scale EVD outbreaks and atmosphere oscillation indices (in prep.)
  • 7. Mammal chorotypes Favorable areas for the Ebola virus Recent outbreak site: Local mammal species assemblage EVD outbreaks favored by forest loss Deforested areas during the last two years Local meteorology Increased chances for outbreaks two months later Ocean-athmosphere oscillations Increased chances for outbreaks during the following year Tools for prevention and response: The challenge of predicting risk of outbreaks And now what? Where? When?

Editor's Notes

  1. The fuzzy intersection produced a model defining a map of favourable areas for the presence of the virus in wildlife This model shows similarities, but also particular features, compared to the previous ones Fuzzy logic is a superset of conventional(Boolean) logic that has been extended to handle the concept of partial truth- truth values between "completely true" and "completely false". As its name suggests, it is the logic underlying modes of reasoning which are approximate rather than exact. The importance of fuzzy logic derives from the fact that most modes of human reasoning and especially common sense reasoning are approximate in nature. The essential characteristics of fuzzy logic as founded by Zader Lotfi are as follows.
  2. Pacific Decadal Oscillation Index
  3. Predictions is, precisely, the final contribution we, biogeographers, should make to the EV drama We should be able, as soon as possible, to turn biogeographical patterns into tolos for mapping when and where new outbreaks could occur, with anticipation enough for allowing prevention and quick response