TY - JOUR
T1 - A quantitative risk assessment of waterborne infectious disease in the inundation area of a tropical monsoon region
AU - Kazama, So
AU - Aizawa, Toshiki
AU - Watanabe, Toru
AU - Ranjan, Priyantha
AU - Gunawardhana, Luminda
AU - Amano, Ayako
N1 - Funding Information:
Acknowledgments This study was made possible largely through the Grants-in-Aid from the Ministry of Education, Science, Sports and Culture (Category B), 2010–2013 (22404008, So Kazama) and through a grant from the integrated research system for sustainability science (IR3S). We would like to acknowledge here the generosity of these organization. We also wish to thank Dr. Hong Rathmony and Dr. Duong Socheat in Ministry of Health in Cambodia, Dr. Satoshi Nakamura in International Medical Center of Japan and Professor Tatsuo Omura in Tohoku University for their generous assistance for the field investigation.
PY - 2012/1
Y1 - 2012/1
N2 - Flooding and inundation are annual events that occur during the rainy season in Cambodia, and inundation has a strong relationship with human health. This study simulated the coliform bacteria distribution using a hydraulic model and estimated the impact of inundation on public health using a dose-response model. The model parameters were calibrated using field survey data from Cambodia and obtained good agreement with the coliform group count distribution. The results suggest that the impact of inundation on human health is most noticeable in residential areas. The annual average risk of infection during medium-sized flood events is 0.21. The risk due to groundwater use ranges from 0.12 to 0.17 in inundation areas and reaches as high as 0.23 outside the inundation areas. The risk attributed to groundwater use is therefore higher than that for surface water use (0. 02-0. 06), except in densely populated areas at the city center. There is a high risk for infection with waterborne disease in residential areas, and the annual average risk during small flood events is 0. 94. An assessment of possible countermeasures to reduce the risk shows that the control of inundation may bring more risk to public health in Cambodia. Shallower inundation water (<0.3 m) leads to a higher risk of infection, but if the depth is greater than 2 m, the risk is low in residential areas. The simulated results explain the spatial distributions of infection risk,, which are vitally important for determining the highest priority places with relatively high risk and will be helpful for decision makers when considering the implementation of countermeasures.
AB - Flooding and inundation are annual events that occur during the rainy season in Cambodia, and inundation has a strong relationship with human health. This study simulated the coliform bacteria distribution using a hydraulic model and estimated the impact of inundation on public health using a dose-response model. The model parameters were calibrated using field survey data from Cambodia and obtained good agreement with the coliform group count distribution. The results suggest that the impact of inundation on human health is most noticeable in residential areas. The annual average risk of infection during medium-sized flood events is 0.21. The risk due to groundwater use ranges from 0.12 to 0.17 in inundation areas and reaches as high as 0.23 outside the inundation areas. The risk attributed to groundwater use is therefore higher than that for surface water use (0. 02-0. 06), except in densely populated areas at the city center. There is a high risk for infection with waterborne disease in residential areas, and the annual average risk during small flood events is 0. 94. An assessment of possible countermeasures to reduce the risk shows that the control of inundation may bring more risk to public health in Cambodia. Shallower inundation water (<0.3 m) leads to a higher risk of infection, but if the depth is greater than 2 m, the risk is low in residential areas. The simulated results explain the spatial distributions of infection risk,, which are vitally important for determining the highest priority places with relatively high risk and will be helpful for decision makers when considering the implementation of countermeasures.
KW - Concentration of coliform bacteria
KW - Dose-response model
KW - Hydrological model
KW - The Mekong River
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U2 - 10.1007/s11625-011-0141-5
DO - 10.1007/s11625-011-0141-5
M3 - Article
AN - SCOPUS:83055184318
SN - 1862-4065
VL - 7
SP - 45
EP - 54
JO - Sustainability Science
JF - Sustainability Science
IS - 1
ER -