Kevin D. Lafferty US Geological Survey Marine Science Institute, - - PowerPoint PPT Presentation

kevin d lafferty us geological survey marine science
SMART_READER_LITE
LIVE PREVIEW

Kevin D. Lafferty US Geological Survey Marine Science Institute, - - PowerPoint PPT Presentation

Kevin D. Lafferty US Geological Survey Marine Science Institute, University of California, Santa Barbara Spatial and Temporal trends in global malaria: How do climate change and economics interact? Why Malaria? Largest source of


slide-1
SLIDE 1

Kevin D. Lafferty
 US Geological Survey 
Marine Science Institute, University of California, Santa Barbara
 Spatial and Temporal trends in global malaria: How do climate change and economics interact?

slide-2
SLIDE 2

Why Malaria? Largest source of mortality in tropical developing nations, particularly for children. Impairs economic development. Sensitive to climate (and climate change).

slide-3
SLIDE 3

A few malaria facts Caused by a protozoan that infects blood. Three species, with Plasmodium falciparum being the most dangerous. Control efforts include: Mosquito control: wetland destruction, poisons, biological control Preventative medicines (for travelers) Treatment with chemotherapy Vaccines? Unlikely

slide-4
SLIDE 4

Temperature response Climate projection artens et al. 1995

slide-5
SLIDE 5

Process-based model for changes in malaria

Thomas et al. 2004

Present

Contraction Expansion

2025 2055 2085

slide-6
SLIDE 6

Rogers and Randolph 2000 Science

Statistical-based malaria projection

slide-7
SLIDE 7

20 40 1900 1920 1940 1960 1980 2000 Year

  • 0.4
  • 0.3
  • 0.2
  • 0.1

0.1 0.2 0.3 0.4 0.5 0.6 m ean global tem perature ( dev) mean global temp (dev) % global area malaria

How has disease responded to climate change?

slide-8
SLIDE 8

Hay et al. 2004 Lancet

Contraction of malaria over time

slide-9
SLIDE 9

20 40 1900 1920 1940 1960 1980 2000 Year

  • 0.4
  • 0.3
  • 0.2
  • 0.1

0.1 0.2 0.3 0.4 0.5 0.6 m ean global tem perature ( dev) mean global temp (dev) % global area malaria

How has disease responded to climate change?

slide-10
SLIDE 10

25 30 35 40 45 50 55

  • 0.25
  • 0.05

0.15 0.35 0.55 Tem perature ( decadal global m ean dev)

  • 15
  • 10
  • 5

5 10 15 % global m alaria ( detrended)

How has disease responded to climate change?

slide-11
SLIDE 11

25 30 35 40 45 50 55

  • 0.25
  • 0.05

0.15 0.35 0.55 Tem perature ( decadal global m ean dev)

  • 15
  • 10
  • 5

5 10 15 % global m alaria ( detrended)

How has disease responded to climate change?

slide-12
SLIDE 12

Land-use change and malaria reduction in Britain

Kuhn et al. 2003 PNAS

slide-13
SLIDE 13

Questions

  • Why has malaria contracted from some

regions but not others?

  • Hyp 1: economics (treatment, habitat

destruction, vector control, indoor living)

  • Hyp 2: climate (temperature & precipitation)
  • How Can GPD cancel out climate?
  • How much will climate change override

current economic effects?

slide-14
SLIDE 14

Approach

  • Develop a statistical model that explains

changes in the temporal and spatial distribution of malaria at a global scale.

  • Malaria Data: Lysenko Map for historical

data, plus new maps for current data. Spatial resolution varies due to reporting.

  • Climate data: lots
  • Economic data: Spatial only to country level.
  • Can we do better than using nations as

replicates?

slide-15
SLIDE 15

How to incorporate space?

slide-16
SLIDE 16
  • 2
  • 1.5
  • 1
  • 0.5

0.5 1 1.5 2 2.5 3 10 20 30 40 50 60 70 National prevalence of T. Lester residuals NEO-PI-R

Especially facets of vulnerability and impulsiveness

Anxious, depressed, self-conscious, impulsive, vulnerable Relaxed, confident, secure, optimistic

Neuroticism increases with Toxoplasma prevalence

R2 = .30

Lafferty 2006 PRSL

slide-17
SLIDE 17

QuickTime™ and a decompressor are needed to see this picture.

Present conditions, Hay et al. 2009

slide-18
SLIDE 18

1995 Per capita GDP

slide-19
SLIDE 19
slide-20
SLIDE 20

Current rainfall and precipitation

slide-21
SLIDE 21
slide-22
SLIDE 22

Next steps Define collaboration Specify hypotheses Determine statistical model Obtain spatial and temporal data Analyze Write Lafferty@lifesci.ucsb.edu