Skip to main content

Emerging Impacts of Climate Change on Human-Health in Santos Municipality in the Context of São Paulo State

  • Chapter
  • First Online:
Book cover Climate Change in Santos Brazil: Projections, Impacts and Adaptation Options

Abstract

In Brazil, around 12.5 million cases of Dengue fever were recorded from 1990 to 2016. The Southeast is the most affected region with just over 6 million cases registered during this period with linear increase of 47,000 cases per year. In this chapter we present an overview of environmental risk management, associating the concepts with case studies of how Dengue fever outbreaks respond to climate variability. We also bring a discussion on how some factors can influence future patterns of Dengue fever in São Paulo State. Dengue fever incidence clearly responds to temperature increases that are predicted to increase in the future. Without any prophylactic measures public treatment costs are likely to increase in the future. These costs are likely to be much higher if we consider the other diseases associated with the same vector such as Zikka and Chicungunha, plus emergency actions to mitigate the problem during outbreaks. Investments must be allocated for prevention focusing on long-term monitoring of temperature and El Niño data. Authorities must be alerted when mean temperature surpasses 24 °C, because of the measured increase of dengue cases during the El Niño years. Finally, prophylactic measures must be intensified between March and May, when the disease peaks in the region.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • ANTAQ. (2017). National Agency for Aquatic Transport. Available at: http://portal.antaq.gov.br/

  • Aragão, L. E. O. C., Marengo, J. A., Cox, P. M., Betts, R. A., Costa, D., Kaye, N., Alves, L., Smith, L. T., Cavalcanti, I. F. A., Sampaio, G., & Anderson, L. O. (2016). Assessing the influence of climate extremes on ecosystems and human health in Southwestern Amazon supported by the PULSE-Brazil platform. American Journal of Climate Change, 5(03), 399.

    Article  Google Scholar 

  • Burkett, V. R., Suarez, A. G., Bindi, M., Conde, C., Mukerji, R., Prather, M. J., St. Clair, A. L., & Yohe, G. W. (2014). Point of departure. In C. B. Field, V. R. Barros, D. J. Dokken, K. J. Mach, M. D. Mastrandrea, T. E. Bilir, M. Chatterjee, K. L. Ebi, Y. O. Estrada, R. C. Genova, B. Girma, E. S. Kissel, A. N. Levy, S. MacCracken, P. R. Mastrandrea, & L. L. White (Eds.), Climate change 2014: Impacts, adaptation, and vulnerability. Part A: Global and sectoral aspects. Contribution of working group II to the fifth assessment report of the intergovernmental panel on climate change (pp. 169–194). Cambridge/New York: Cambridge University Press.

    Google Scholar 

  • Cardona, O. D., van Aalst, M. K., Birkmann, J., Fordham, M., McGregor, G., Perez, R., Pulwarty, R. S., Schipper, E. L. F., & Sinh, B. T. (2012). Determinants of risk: Exposure and vulnerability. In C. B. Field, V. Barros, T. F. Stocker, D. Qin, D. J. Dokken, K. L. Ebi, M. D. Mastrandrea, K. J. Mach, G.-K. Plattner, S. K. Allen, M. Tignor, & P. M. Midgley (Eds.), Managing the risks of extreme events and disasters to advance climate change adaptation, A Special Report of Working Groups I and II of the Intergovernmental Panel on Climate Change (IPCC) (pp. 65–108). Cambridge/New York: Cambridge University Press.

    Chapter  Google Scholar 

  • Costanza, R. (2003). A vision of the future of science: Reintegrating the study of humans and the rest of nature. Futures, 35(6), 651–671.

    Article  Google Scholar 

  • Degallier, N. I. C. O. L. A. S., Vilarinhos, P. D. T. R., de Carvalho, M. L., Knox, M. B., & Caetano, J., Jr. (2000). People’s knowledge and practice about Dengue fever, its vectors, and control means in Brasilia (DF), Brazil: Its relevance with entomological factors. Journal of the American Mosquito Control Association, 16(2), 114–123.

    Google Scholar 

  • Departamento de Informática do Sistema Único de Saúde (DATASUS). (n.d.). Dados do Sistema de Informações Hospitalares (SIH). Disponível em: http://www2.datasus.gov.br/DATASUS/index.php?area=0901&item=1&acao=25. Acesso 30 June 2015.

  • Hales, S., De Wet, N., Maindonald, J., & Woodward, A. (2002). Potential effect of population and climate changes on global distribution of Dengue fever: An empirical model. The Lancet, 360(9336), 830–834.

    Article  Google Scholar 

  • Horstick, O., Runge-Ranzinger, S., Nathan, M. B., & Kroeger, A. (2010). Dengue vector-control services: How do they work? A systematic literature review and country case studies. Transactions of the Royal Society of Tropical Medicine and Hygiene, 104(6), 379–386.

    Article  Google Scholar 

  • Horta, M. A., Fonseca, P. A., Costa, D., Barcellos, C., & Hacon, S. (2014). Temporal relationship between climatic factors and the occurrence of Dengue fever in an Amazonian Urban Center, Brazil. International Journal of Epidemiology & Infection, 2(4), 80–87.

    Article  Google Scholar 

  • IBGE. (2017). Brazilian Institute for geography and statistics. Demographic density census. Available at: https://censo2010.ibge.gov.br/sinopse/index.php?dados=10&uf=00

  • Marengo, J. A., Aragão, L. E. O. C., Cox, P. M., Betts, R., Costa, D., Kaye, N., Smith, L. T., Alves, L. M., & Reis, V. (2016). Impacts of climate extremes in Brazil: The development of a web platform for understanding long-term sustainability of ecosystems and human health in Amazonia (PULSE-Brazil). Bulletin of the American Meteorological Society, e-View. https://doi.org/10.1175/BAMS-D-14-00177.1.

    Article  Google Scholar 

  • Mauser, W., Klepper, G., Rice, M., Schmalzbauer, B. S., Hackmann, H., Leemans, R., & Moore, H. (2013). Transdisciplinary global change research: The co-creation of knowledge for sustainability. Current Opinion in Environmental Sustainability, 5(3), 420–431.

    Article  Google Scholar 

  • Meadow, A. M., Ferguson, D. B., Guido, Z., Horangic, A., Owen, G., & Wall, T. (2015). Moving toward the deliberate co-production of climate science knowledge. Weather, Climate, and Society, 7, 179–191.

    Article  Google Scholar 

  • Medronho, R. A. (2006). Dengue e o ambiente urbano. Revista Brasileira de Epidemiologia, 9, 159–161.

    Article  Google Scholar 

  • Messina, J. P., Brady, O. J., Scott, T. W., Zou, C., Pigott, D. M., Duda, K. A., Bhatt, S., Katzelnick, L., Howes, R. E., Battle, K. E., & Simmons, C. P. (2014). Global spread of dengue virus types: Mapping the 70 year history. Trends in Microbiology, 22(3), 138–146.

    Article  Google Scholar 

  • Morin, C. W., Comrie, A. C., & Ernst, K. (2013). Climate and Dengue transmission: Evidence and implications. Environmental Health Perspectives, 121(11–12), 1264–1272.

    Article  Google Scholar 

  • Pessanha, J. E. M. (2012). Risk assessment and risk maps using a simple Dengue fever model. Dengue Bulletin, 36, 73–86.

    Google Scholar 

  • Pham, H. V., Doan, H. T. M., Phan, Y. Y. Y., & Minh, N. N. T. (2011). Ecological factors associated with Dengue fever in a central highlands Province, Vietnam. BMC Infectious Diseases, 11(1), 172.

    Article  Google Scholar 

  • Ripsa Rede Interagencial de Informações para a Saúde. acesso em 21 fevereiro 2016. Disponível em: http://www.ripsa.org.br/fichasIDB/record.php?node=D.2.3&lang=pt&version=ed3

  • UNISDR (United Nations International Strategy for Disaster Reduction). (2007). Hyogo framework for action 2005–2015: Building the resilience of nations and communities to disasters. Extract from the final report of the World Conference on Disaster Reduction (A/CONF.206/6). Geneva.

    Google Scholar 

  • UNISDR (United Nations International Strategy for Disaster Reduction). (2015). Sendai framework for disaster risk reduction 2015–2030. Geneva: UNISDR.

    Google Scholar 

  • Weaver, C. P., Mooney, S., Allen, D., Beller-Simms, N., Fish, T., Grambsch, A. E., & Winthrop, R. (2014). From global change science to action with social sciences. Nature Climate Change, 4(8), 656–659.

    Article  Google Scholar 

  • WHO. (1995). Global strategy for prevention and control of Dengue fever and Dengue haemorrhagic fever: Report of the consultation on key issues in Dengue vector control towards the operationalization of a global strategy, CTD/FIL(DEN)/IC/96. Geneva: World Health Organization.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Luiz E. O. C. Aragão .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Aragão, L.E.O.C., Carvalho, F.R.F. (2019). Emerging Impacts of Climate Change on Human-Health in Santos Municipality in the Context of São Paulo State. In: Nunes, L., Greco, R., Marengo, J. (eds) Climate Change in Santos Brazil: Projections, Impacts and Adaptation Options. Springer, Cham. https://doi.org/10.1007/978-3-319-96535-2_10

Download citation

Publish with us

Policies and ethics