Vector Biology, Ecology and Control pp 3-13 | Cite as
The Role of Global Climate Patterns in the Spatial and Temporal Distribution of Vector-Borne Disease
Abstract
Global climate variability patterns, such as those associated with the El Niño/Southern Oscillation (ENSO) phenomena, have been shown to have an impact on vector-borne infectious disease outbreaks. Evidence of the links between ENSO driven climate anomalies and infectious diseases, particularly those transmitted by insects, can allow us to provide improved long range forecasts of an epidemic or epizootic. Using satellite generated data developing climate anomalies suggested potential disease risks for 2006 and 2007. Sea surface temperatures in the equatorial east Pacific Ocean anomalously increased significantly during July–October 2006 indicating the typical development of El Niño conditions. The persistence of these conditions led to extremes in global-scale climate anomalies comparable to what has been observed during similar conditions in the past. The 2006 development of El Niño conditions had significant implications for global public health. Extremes in climate events with above normal rainfall and flooding in some regions and extended drought periods in other regions occurred. Forecasting disease is critical for timely and effective planning of operational control programs. Here we describe global climate anomalies that led to forecasts of elevated disease risks that gave decision makers additional tools to make rational judgments concerning implementation of disease prevention and mitigation strategies.
Keywords
Climate change ENSO Disease VectorsReferences
- Anyamba A, Chretien JP, Small J, Tucker CJ, Linthicum KJ. 2006. Developing global climate anomalies suggest potential disease risks for 2006–2007. Int. J. Health Geogr. 5:60. (http://www.ij-healthgeographics.com/content/5/1/60).CrossRefPubMedGoogle Scholar
- Anyamba A, Linthicum KJ, Mahoney R, Tucker CJ, Kelley PW. 2002. Mapping potential risk of Rift Valley fever outbreaks in African savannas using vegetation index time series data. Photogrammatic Engineering & Remote Sensing 68:137–145.Google Scholar
- Anyamba A, Chretien JP, Small J, Tucker CJ, Formenty PB, Richardson JH, Britch SC, Schnabel DC, Erickson RL, Linthicum KJ. 2009. Prediction of a Rift Valley fever outbreak. PNAS 206: 955–959.Google Scholar
- Baylis M, Mellor P, Meiswinkel R. 1999. Horse sickness and ENSO in South Africa. Nature 397:574.CrossRefPubMedGoogle Scholar
- Bouma JM, Dye C. 1997. Cycles of malaria associated with El Niño in Venezuela. J. Am. Med. Assoc. 278:1772–1774.CrossRefGoogle Scholar
- Bouma M, Dye C, van der Kaay J. 1996. Falciparum malaria and climate change in the Northwest Frontier Province of Pakistan. Am. J. Trop. Med. Hyg. 55:131–137.PubMedGoogle Scholar
- Cane M. 1986. El Niño. Annu. Rev. Earth Planet Sci. 14:43–70.Google Scholar
- Chagas C, Puppi G. 1986. Summary and conclusions. In C Chagas and G Puppi (Eds) Persistent Meteo-Oceanographic Anomalies and Teleconnections, Pontificia Academia Scientiaruum, Citte Del Vaticano, pp. 1–15.Google Scholar
- Checkley W, Epstein L, Gilman R, Figueroa D, Cama R, Patz J. 1997. Effects of El Niño and ambient temperature on hospital admissions for diarrhoeal diseases in Peruvian children. Lancet 355:442–450.Google Scholar
- Chretien JP, Anyamba A, Bedno SA, Breiman RF, Sang R, Sergon K, Powers AM, Onyango CO, Small J, Tucker CJ, Linthicum KJ. 2006. Drought-associated chikungunya emergence along coastal East Africa. Am. J. Trop. Med. Hyg. 76:405–407.Google Scholar
- Davies FG, Linthicum KJ, James AD. 1985. Rainfall and epizootic Rift Valley fever. Bull. World Health Organ. 63:941–943.PubMedGoogle Scholar
- Engelthaler D, Mosley D, Cheek J, Levy C, Komatsu K, Ettestad P, Davis T, Tanda D, Miller L, Frampton J, Porter R, Bryan R. 1999. Climatic and environmental patterns associated with hantavirus pulmonary syndrome, Four Corners region, United States. Emerg. Infect. Dis. 5:87–94.CrossRefPubMedGoogle Scholar
- Epstein P. 2001. Climate change and emerging infectious diseases. Microbes Infect. 3:747–754.CrossRefPubMedGoogle Scholar
- Epstein P. 2002. Climate change and infectious disease; stormy weather ahead. Epidemiology 13:373–375.CrossRefPubMedGoogle Scholar
- Gabaldon A. 1949. The nation-wide campaign against malaria in Venezuela. Trans. R. Soc. Trop. Med. Hyg. 43:113–160.CrossRefPubMedGoogle Scholar
- Glantz M. 1991. Introduction. In MH Glantz, RW Katz and N Nicholls (Eds) Teleconnections Linking World Wide Climate Anomalies: Scientific Basis and Societal Impact, Cambridge University Press, New York, pp. 1–12.Google Scholar
- Kovats RS, Bouma MJ, Hajat S, Worrall E, Haines A. 2003. El Nino and health. Lancet 362: 1481–1489.CrossRefPubMedGoogle Scholar
- Lindblade K, Walker E, Onapa A, Katungu J, Wilson M. 1999. Highland malaria in Uganda; prospective analysis of an epidemic associated with El Niño. Trans. R. Soc. Trop. Med. Hyg. 93:480–487.CrossRefPubMedGoogle Scholar
- Linthicum KJ, Anyamba A, Tucker CJ, Kelley PW, Myers MF, Peters CJ. 1999. Climate and satellite indicators to forecast Rift Valley fever epidemics in Kenya. Science 285:397–400.CrossRefPubMedGoogle Scholar
- Linthicum KJ, Britch SC, Anyamba A, Small J, Tucker CJ, Chretien J-P, Sithiprasasna R 2007 Ecology of Disease. The intersection of human and animal health. In Forum on Microbial Threats: Vector-Borne Diseases. Workshop Summary. Institute of Medicine of the National Academies, pp. 78–88.Google Scholar
- Linthicum KJ, Davies FG, Bailey CL, Kairo A. 1984. Mosquito species encountered in a flooded grassland dambo in Kenya. Mosq. News 44:228–232.Google Scholar
- Linthicum KJ, Davies FG, Kairo A, Bailey CL. 1985. Rift Valley fever virus (family Bunyaviridae, genus Phlebovirus). Isolations from Diptera collected during an interepizootic period in Kenya. J. Hyg., Cambridge 95:197–209.CrossRefGoogle Scholar
- Loevinsohn M. 1994. Climatic warming and increased malaria incidence in Rwanda. Lancet 343:714–718.CrossRefPubMedGoogle Scholar
- MMWR. 2007. Rift Valley fever outbreak – Kenya, MMWR. February 2, 2007 – November 2006–January 2007. February 2, 2007. 56:73–76.Google Scholar
- NOAA Climate Prediction Center. 2006. http://www.cpc.noaa.gov/
- Nicholls N. 1986. A method for predicting Murray Valley encephalitis in southeast Australia using the Southern Oscillation. Aust. J. Exp. Biol. Med. Sci. 64:587–594.CrossRefPubMedGoogle Scholar
- Nicholls N. 1993. El Nino-southern oscillation and vector-borne disease. Lancet 342:1284–1285.CrossRefPubMedGoogle Scholar
- Parmenter RR, Yadav EP, Parmenter CA, Ettestad P, Gage KL. 1999. Incidence of plague associated with increased winter-spring precipitation in New Mexico. Am. J. Trop. Med. Hyg. 61:814–821.PubMedGoogle Scholar
- Pascual M, Rodó X, Ellner S, Colwell R, Bouna M. 2000. Cholera dynamics and El Niño-Southern Oscillation. Science 289:1766–1769.CrossRefPubMedGoogle Scholar
- Rasmusson E. 1991. Observational aspects of ENSO cycle teleconnections. In MH Glantz, RW Katz, and N Nicholls (Eds) Teleconnections Linking World Wide Climate Anomalies: Scientific Basis and Societal Impact, Cambridge University Press, New York, pp. 309–343.Google Scholar
- Ropelewski C, Halpert M. 1987. Global and regional scale precipitation patterns associated with the El Niño/Southern Oscillation (ENSO). Mon. Weather Rev. 115:1606–1626.CrossRefGoogle Scholar
- WHO Pandemic Alert and Response 2007. Rift Valley fever in Kenya, Somalia and the United Republic of Tanzania. 9 May 2007.Google Scholar
- Watts D, Burke D, Harrison B, Whitmire R, Nisalak A. 1987. Effect of temperature on the vector efficiency of Aedes aegypti for dengue 2 virus. Am. J. Trop. Med. Hyg. 36:143–152.PubMedGoogle Scholar
- Woodruff R, Guest C, Garner MG, Becker N, Lindesay J, Carvan T, Ebi K. 2002. Predicting Ross River virus epidemics from regional weather data. Epidemiology 13:384–393.CrossRefPubMedGoogle Scholar