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Economics of Disasters and Climate Change

, Volume 2, Issue 2, pp 107–135 | Cite as

Floods and Pestilence: Diseases in Philippine Urban Areas

  • Rio YonsonEmail author
Original Paper

Abstract

Do floods affect the probability for urban households to suffer from diseases? We study Cagayan de Oro, a highly-urbanized city in the Philippines that exhibits many of the common characteristics of urban areas in middle-income countries. We find that bronchitis, respiratory tract infection, influenza, chicken pox, measles, typhoid fever, diarrhea, leptospirosis, dengue, hypertension, and heart diseases are each associated with either one or a combination of the flood variables: exposure, height, or duration. We quantify their incremental incidence due to flood exposure, and provide indicative estimates on their cost implications both to the government and to the disease-affected households. In general, results reveal that flood-induced diseases cause large cost to the government as well as heavy financial burden on affected families, particularly among the economically disadvantaged. Cost estimation is undertaken for the floodplains of Cagayan de Oro City, and expanded to all urban areas in the Philippines to serve as inputs for discussions on the expansion or redesign of policies aimed at ensuring people’s safety from disasters, diseases, and impoverishment within a typical urban setting.

Keywords

Floods Diseases Disasters Urban Philippines 

MSC

91B76 

JEL

Q54 

Notes

Acknowledgements

I thank Professor Ilan Noy and Associate Professor JC Gaillard for mentoring me well and for being my greatest support in this endeavor; Jan Feld, Paul Raschky and Stephen Knowles for their valuable feedback on my thesis chapter that comprise this paper; and, Ramon Enrico Punongbayan, Bayani Theddeaus Barcenas, Jeo Valerio, Doods Balaba, and April Ann Tigulo for data assistance, and the Philippine Climate Change Commission and the Local Government of Cagayan de Oro City for allowing me to use the Climate and Disaster Risk Exposure Database (ClimEx.db) for the floodplains of Cagayan de Oro City.

References

  1. ADB (2009) Poverty in the Philippines: causes, constraints, and opportunities. Asian Development Bank, Mandaluyong CityGoogle Scholar
  2. Adger WN (1999) Social vulnerability to climate change and extremes in coastal Vietnam. World Dev 27(2):249–269.  https://doi.org/10.1016/S0305-750X(98)00136-3 CrossRefGoogle Scholar
  3. Ahern M, Kovats RS, Wilkinson P, Few R, Matthies F (2005) Global health impacts of floods: epidemiologic evidence. Epidemiol Rev 27(1):36–46.  https://doi.org/10.1093/epirev/mxi004 CrossRefGoogle Scholar
  4. Anbarci N, Escaleras M, Register CA (2005) Earthquake fatalities: the interaction of nature and political economy. J Public Econ 89(9–10):1907–1933.  https://doi.org/10.1016/j.jpubeco.2004.08.002 CrossRefGoogle Scholar
  5. Ballesteros MM (2010) Linking poverty and the environment: evidence from slums in Philippine cities Philippine Institute for Development Studies Discussion Paper (Vol. 2010-33, pp. 31)Google Scholar
  6. Bonds MH, Keenan DC, Rohani P, Sachs JD (2010) Poverty trap formed by the ecology of infectious diseases. Proc R Soc B 277(1685):1185–1192.  https://doi.org/10.1098/rspb.2009.1778 CrossRefGoogle Scholar
  7. Carroll B, Balogh R, Morbey H, Araoz G (2010) Health and social impacts of a flood disaster: responding to needs and implications for practice. Disasters 34(4):1045–1063.  https://doi.org/10.1111/j.1467-7717.2010.01182.x CrossRefGoogle Scholar
  8. Carter MR, Little PD, Mogues T, Negatu W (2007) Poverty traps and natural disasters in Ethiopia and Honduras. World Dev 35(5):835–856.  https://doi.org/10.1016/j.worlddev.2006.09.010 CrossRefGoogle Scholar
  9. Churchill C, Matul M (2012) Protecting the poor: a microinsurance compendium. International Labour Organization, GermanyGoogle Scholar
  10. Del Ninno, C., Dorosh, P. A., Smith, L. C., & Roy, D. K. (2001). The 1998 floods in Bangladesh: disaster impacts, household coping strategies, and response (pp. 134). Washington, D.C.: International Food Policy Research InstituteGoogle Scholar
  11. DSWD (2013) DSWD’s modified CCT helps families with special needs survive life’s daily grind. Department of Social Welfare and Development, Manila PhilippinesGoogle Scholar
  12. Franzke CLE (2017) Impacts of a changing climate on economic damages and insurance. Journal of Economics and Climate Change 1:95–110Google Scholar
  13. Gaillard J, Liamzon CC, Villanueva JD (2007) ‘Natural’ disaster? A retrospect into the causes of the late-2004 typhoon disaster in eastern Luzon, Philippines. Environmental Hazards 7(4):257–270.  https://doi.org/10.1016/j.envhaz.2006.11.002 CrossRefGoogle Scholar
  14. Ginnetti J, Dagondon B, Villanueva C, Enriquez J, Tem- prosa FT, Bacal TC, Carcellar N (2013) Disaster-induced internal displacement in the Philippines: the case of tropical storm Washi/Sendong. NorwayGoogle Scholar
  15. Goerg GM, Patterson-Lomba O, Hébert-Dufresne L, Althouse BM (2014) Escaping the poverty trap: modeling the interplay between economic growth and the ecology of infectious disease. Retrieved from hhttps://arxiv.org/pdf/1311.4079.pdf
  16. GOP (1983) An act enacting the Local Government Code. Government of the Philippines, ManilaGoogle Scholar
  17. GOP (1991) Local Government Code of the Philippines. Government of the Philippines, Manila, Philippines Retrieved from http://www.dilg.gov.ph/PDF_File/reports_resources/DILG-Resources-201162-99c00c33f8.pdf Google Scholar
  18. GOP (n.d.) Pantawid Pamilyang Pilipino Program. Goverment of the Philippines, Philippines. Retrieved from http://www.officialgazette.gov.ph/programs/conditional-cash-transfer/
  19. Grünewald F, Boyer B (2013) Lessons learnt on typhoons in the Philippines. Plaisians, France: Urgence Rehabilitation DeveloppementGoogle Scholar
  20. Guha-Sapir D, Hoyois P, Below R (2012) Annual disaster statistical review 2011: the numbers and trends. Brussels, Belgium: Centre for Research on the Epidemiology of Disasters (CRED), Institute of Health and Society (IRSS), Universite Catholique de LouvainGoogle Scholar
  21. Hallegatte S, Bangalore M, Vogt-Schilb A (2016) Assessing socioeconomic resilience to floods in 90 countries policy research working paper (Vol. WPS7663). World Bank, Washington DCGoogle Scholar
  22. Hallegatte S, Vogt-Schilb A, Bangalore M, Rozenberg J (2017) Unbreakable : building the resilience of the poor in the face of natural disasters. Climate Change and Development. Retrieved from Washington DC: http://hdl.handle.net/10986/25335
  23. IPCC (2014) Climate change 2014: impacts, adaptation, and vulnerability. Retrieved from Geneva, Switzerland: https://ipcc-wg2.gov/AR5/images/uploads/WGIIAR5-IntegrationBrochure_FINAL.pdf
  24. Jacobsen K (2008) Global health and global aging (Vol. 45, pp. 1370). Middletown: American Library Association dba CHOICEGoogle Scholar
  25. Kahn ME (2005) The death toll from natural disasters: the role of income, geography, and institutions. Review of Economics and Statistics 87(2):271–284.  https://doi.org/10.1162/0034653053970339 CrossRefGoogle Scholar
  26. Kellenberg DK, Mobarak AM (2008) Does rising income increase or decrease damage risk from natural disasters? J Urban Econ 63(3):788–802.  https://doi.org/10.1016/j.jue.2007.05.003 CrossRefGoogle Scholar
  27. Kondo H, Seo N, Yasuda T, Hasizume M, Koido Y, Ninomiya N, Yamamoto Y (2002) Post-flood--infectious diseases in Mozambique. Prehospital and disaster medicine 17(3):126.  https://doi.org/10.1017/S1049023X00000340 CrossRefGoogle Scholar
  28. Kouadio I, Aljunid S, Kamigaki T, Hammad K, Oshitani H (2012) Infectious diseases following natural disasters: prevention and control measures (Vol. 10, pp. 95-104). London: Informa healthcare expert reviews ltdGoogle Scholar
  29. Kunii O, Nakamura S, Abdur R, Wakai S (2002) The impact on health and risk factors of the diarrhoea epidemics in the 1998 Bangladesh floods. Public Health 116(2):68–74.  https://doi.org/10.1038/sj.ph.1900828 CrossRefGoogle Scholar
  30. Lamond JE, Joseph RD, Proverbs DG (2015) An exploration of factors affecting the long term psychological impact and deterioration of mental health in flooded households. Environ Res 140:325–334.  https://doi.org/10.1016/j.envres.2015.04.008 CrossRefGoogle Scholar
  31. Leal Filho, W. (2016). Climate change and health improving resilience and reducing risks. In U. M. Azeiteiro, F. T. Alves, & SpringerLink (Eds.), Climate Change Management (1st ed. 2016.. Ed.): Cham: springer international publishing : imprint: springerGoogle Scholar
  32. LGU-CDO (2014a) 2014 socioeconomic profile of Cagayan de Oro City. Local Government of Cagayan de Oro City, Cagayan de Oro CityGoogle Scholar
  33. LGU-CDO (2014b) Comprehensive development plan of Cagayan de Oro, 2014–2019. Local Government Unit of Cagayan de Oro City, Cagayan de Oro CityGoogle Scholar
  34. LGU-CDO (2016) Vulnerability and adaptation assessment report. Local Government Unit of Cagayan de Oro City, UN-Habitat, World Food Program, Cagayan de Oro City, PhilippinesGoogle Scholar
  35. Liu A, Tan H, Zhou J, Li S, Yang T, Wang J et al (2006) An epidemiologic study of posttraumatic stress disorder in flood victims in Hunan China. Can J Psychiatr 51(6):350–354CrossRefGoogle Scholar
  36. Maryam B, Zain AS, Amyn B, Nida Shahab B, Sidra A, Javeria F, Beg MA (2012) Infectious diseases in the aftermath of monsoon flooding in Pakistan. Asian Pacific Journal of Tropical Biomedicine 2(1):76–79.  https://doi.org/10.1016/S2221-1691(11)60194-9 CrossRefGoogle Scholar
  37. Matthew S, Jennie M, Hugo B, Charles B, Alison S, Cynthia J (2016) Vector-control response in a post-flood disaster setting, Honiara, Solomon Islands, 2014. Western Pacific Surveillance and Response 7(1):38–43.  https://doi.org/10.5365/wpsar.2015.6.3.004 Google Scholar
  38. Munro A, Managi S (2017) Going back: radiation and intentions to return amongst households evacuated after the great Tohoku earthquake. Economics and Climate Change 1:77–93CrossRefGoogle Scholar
  39. NDRRMC (2012) Final report on the effects and emergency Manangement re tropical storm Sendong (Washi) (pp. 36). Metro manila, Philippines: National Disaster Risk Reduction and management councilGoogle Scholar
  40. NDRRMC (2014) Tropical cyclones and their effects, 2005-2013. Manila, Philippines: National Disaster Risk Reduction and Management Council.Google Scholar
  41. NEDA (2005) Regional development plan of Northern Mindanao. National Economic and Development Authority, Cagayan de Oro CityGoogle Scholar
  42. NEDA (2012) Strategic action plan for the reconstruction and rehabilitation of areas affected by TS Sendong. NEDA, Cagayan de OroGoogle Scholar
  43. Nomura S, Parsons AJQ, Hirabayashi M, Kinoshita R, Liao Y, Hodgson S (2016) Social determinants of mid- to long-term disaster impacts on health: a systematic review. International Journal of Disaster Risk Reduction 16:53–67.  https://doi.org/10.1016/j.ijdrr.2016.01.013 CrossRefGoogle Scholar
  44. Noy I (2009) The macroeconomic consequences of disasters. J Dev Econ 88(2):221–231.  https://doi.org/10.1016/j.jdeveco.2008.02.005 CrossRefGoogle Scholar
  45. Noy I, duPont W (2016) The long-term consequences of natural disasters: A summary of the literature SEF Working Paper, 02/2016. http://hdl.handle.net/10063/4981
  46. Noy I, Yonson R (2016) A survey of the theory and measurement of economic vulnerability and resilience to natural hazards Victoria University working paper (Vol. 03/2016). Wellington: Victoria University of WellingtonGoogle Scholar
  47. PAGASA (2011) Climate change in the Philippines. Philippine Atmospheric, Geophysical, Astronomical Services, ManilaGoogle Scholar
  48. Peduzzi P (2006) The disaster risk index: overview of a quantitative approach. In: Birkmann J (ed) Measuring vulnerability to natural hazards: towards disaster resilient societies. United Nations University, New York, pp 171–181Google Scholar
  49. Pelling M (2012) The Vulnerability of Cities: Natural Disasters and Social Resilience. New York, USA: Taylor & Francis.Google Scholar
  50. PSA (2015a). Family Income and Expenditure Survey. Metro Manila, Philippines: Philippine Statistics AgencyGoogle Scholar
  51. PSA (2015b) Gross Regional Domestic Product - Data and Charts. Retrieved from: http://nap.psa.gov.ph/grdp/datacharts.asp
  52. PSA (2016a) Highlights of the Philippine Population 2015 Census of Population. Retrieved from https://psa.gov.ph/content/highlights-philippine-population-2015-census-population
  53. PSA (2016b) Highlights of the Philippine population 2015 census of population. In P. S. Agency (Ed.). Manila, Philippines: Philippines Statistical AgencyGoogle Scholar
  54. PSA (2016c) Population of Region X - Northern Mindanao (Based on the 2015 Census of Population) 2016–075. Retrieved from https://psa.gov.ph/content/population-region-x-northern-mindanao-based-2015-census-population
  55. Raschky PA (2008) Institutions and the losses from natural hazards. Natural Hazards and Earth System Sciences 8:627–634CrossRefGoogle Scholar
  56. Ruger JP, Jamison DT, Bloom DE, Canning D (2012) Health and the economy. In: Merson MH, Black RE, Mills AJ (eds) Global Health: diseases, programs, systems, and policies (Third ed.). Jones & Bartlett Learning, USAGoogle Scholar
  57. TCAGP (2014) River Basin and flood modeling and flood hazard assessment for the rivers in the cities of Cagayan de Oro and Iligan. Manila, Philippines: Training Center for Applied Geodesy and Photogrammetry (TCAGP), College of Engineering, University of the PhilippinesGoogle Scholar
  58. Toya H, Skidmore M (2007) Economic development and the impacts of natural disasters. Econ Lett 94(1):20–25.  https://doi.org/10.1016/j.econlet.2006.06.020 CrossRefGoogle Scholar
  59. Tsilaajav T (2007). Costing Study for Selected Hospitals in the Philippines. Philippines: European Commission and Department of Health of the Philippines.Google Scholar
  60. UN (2015). Transforming Our World: the 2030 Agenda for Sustainable DevelopmentGoogle Scholar
  61. UNDP-DHA (1994) Vulnerability and Risk Assessment: Disaster Management Training Programme. Geneva, Switzerland.Google Scholar
  62. UNDP-UNDRO (1992) An Overview of Disaster Management (2nd ed.): United Nations Development Programme; United Nations Disaster Relief Office. Geneva, Switzerland.Google Scholar
  63. UNISDR (2015a) Disaster risk reduction and resilience in the 2030 agenda for sustainable development. The United National International Strategy for Disaster Reduction - The United Nations Office for Disaster Risk Reduction, Geneva, SwitzerlandGoogle Scholar
  64. UNISDR (2015b) Fact sheet: health in the context of the Sendai framework for disaster risk reduction. United Nations International Strategy for Disaster Reduction - The United Nations Office for Disaster Risk Reduction, Geneva, SwitzerlandGoogle Scholar
  65. UNISDR. (2015c). Sendai Framework for Disaster Risk Reduction 2015–2030. Geneva, Switzerland: The United Nations Office for Disaster Risk Reduction.Google Scholar
  66. Vijayachari P, Sugunan A, Shriram A (2008) Leptospirosis: an emerging global public health problem. J Biosci 33(4):557–569.  https://doi.org/10.1007/s12038-008-0074-z CrossRefGoogle Scholar
  67. Watson JT, Gayer M, Connolly MA (2007a) Epidemics after natural disasters. Emerg Infect Dis 13(1).  https://doi.org/10.3201/eid1301.060779
  68. Watson JT, Gayer M, Connolly MA (2007b) Epidemics after natural disasters. Emerg Infect Dis 13(1):1.  https://doi.org/10.3201/eid1301.060779 CrossRefGoogle Scholar
  69. WB-EASPR (2003) Natural disaster risk management in the Philippines: enhancing poverty alleviation through disaster reduction: World Bank - East Asia and Pacific region, Rural DevelopmentGoogle Scholar
  70. WHO (2003) Climat Change and Human Health: Risks and Responses. Summary. Geneva, Switzerland: Word Health OrganizationGoogle Scholar
  71. WHO (2009) WHO guide to identifying the economic consequences of disease and injury. World Health Organization, SwitzerlandGoogle Scholar
  72. Yonson R, Noy I, Gaillard JC (2017) The measurement of disaster risk: an example from tropical cyclones in the Philippines. Rev Dev Econ.  https://doi.org/10.1111/rode.12365

Copyright information

© Springer International Publishing AG, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Victoria University of WellingtonWellingtonNew Zealand

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