Climate Change 2001:
Working Group II: Impacts, Adaptation and Vulnerability
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9.6.2. Aeroallergens (e.g., Pollen)

Daily, seasonal, and interannual variation in the abundance of many aeroallergens, particularly pollen, is associated with meteorological factors (Emberlin, 1994, 1997; Spieksma et al., 1995; Celenza et al., 1996). The start of the grass pollen season can vary between years by several weeks according to the weather in the spring and early summer. Pollen abundance, however, is more strongly associated with land-use change and farming practices than with weather (Emberlin, 1994). Pollen counts from birch trees (the main cause of seasonal allergies in northern Europe) have been shown to increase with increasing seasonal temperatures (Emberlin, 1997; Ahlholm et al., 1998). In a study of Japanese cedar pollen, there also was a significant increase in total pollen count in years in which summer temperatures had risen (Takahashi et al., 1996). However, the relationship between meteorological variables and specific pollen counts can vary from year to year (Glassheim et al., 1995). Climate change may affect the length of the allergy season. In addition, the effect of higher ambient levels of CO2 may affect pollen production. Experimental research has shown that a doubling in CO2 levels, from about 300 to 600 ppm, induces an approximately four-fold increase in the production of ragweed pollen (Ziska and Caulfield, 2000a,b).

High pollen levels have been associated with acute asthma epidemics, often in combination with thunderstorms (Hajat et al., 1997; Newson et al., 1998). Studies show that the effects of weather and aeroallergens on asthma symptoms are small (Epton et al., 1997). Other assessments have found no evidence that the effects of air pollutants and airborne pollens interact to exacerbate asthma (Guntzel et al., 1996; Stieb et al., 1996; Anderson et al., 1998; Hajat et al., 1999). Airborne pollen allergen can exist in subpollen sizes; therefore, specific pollen/ asthma relationships may not be the best approach to assessing the risk (Beggs, 1998). One study in Mexico suggests that altitude may affect the development of asthma (Vargas et al., 1999). Sources of indoor allergens that are climate-sensitive include the house dust mite, molds, and cockroaches (Beggs and Curson, 1995). Because the causation of initiation and exacerbation of asthma is complex, it is not clear how climate change would affect this disease. Further research into general allergies (including seasonal and geographic distribution) is required.

Table 9-1: Main vector-borne diseases: populations at risk and burden of disease (WHO data).
Disease
Vector
Population
at Risk
Number of
People Currently
Infected or New
Cases per Year
Disability-
Adjusted
Life Years Losta
Present
Distribution
Malaria
Mosquito
2400 million
(40% world population)
272,925,000
39,300,000
Tropics/subtropics
           
Schistosomiasis
Water Snail
500-600 million
120 million
1,700,000
Tropics/subtropics
           
Lymphatic filariasis
Mosquito
1,000 million
120 million
4,700,000
Tropics/subtropics
           
African trypanosomiasis
(sleeping sickness)
Tsetse Fly
55 million
300,000-500,000
cases yr-1
1,200,000
Tropical Africa
           
Leishmaniasis
Sandfly
350 million
1.5-2 million
new cases yr-1
1,700,000
Asia/Africa/
southern Europe/
Americas
           
Onchocerciasis
(river blindness)
Black Fly
120 million
18 million
1,100,000
Africa/Latin America/
Yemen
           
American trypanosomiasis (Chagas'disease)
Triatomine Bug
100 million
16-18 million
600,000
Central and
South America
           
Dengue
Mosquito
3,000 million

Tens of millions
cases yr-1

1,800,000b
All tropical countries
           
Yellow fever
Mosquito
468 million
in Africa
200,000
cases yr-1
Not available
Tropical South
America and Africa
           
Japanese encephalitis
Mosquito
300 million
50,000
cases yr-1
500,000
Asia
a Disability-Adjusted Life Year (DALY) = a measurement of population health deficit that combines chronic illness or disability and premature death (see Murray, 1994; Murray and Lopez, 1996). Numbers are rounded to nearest 100,000.
b Data from Gubler and Metzer (1999).


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