YANG Lianping, LIU Li, LIU Yuchen, WANG Shiyu, LI Weibin, MA Wenjun, HUANG Cunrui. Review on environmental-social factors and social driving process model construction of infectious diarrhea affected by rainstorm and flood[J]. Journal of Environmental and Occupational Medicine, 2022, 39(3): 296-303. DOI: 10.11836/JEOM21470
Citation: YANG Lianping, LIU Li, LIU Yuchen, WANG Shiyu, LI Weibin, MA Wenjun, HUANG Cunrui. Review on environmental-social factors and social driving process model construction of infectious diarrhea affected by rainstorm and flood[J]. Journal of Environmental and Occupational Medicine, 2022, 39(3): 296-303. DOI: 10.11836/JEOM21470

Review on environmental-social factors and social driving process model construction of infectious diarrhea affected by rainstorm and flood

  • Infectious diarrhea is an important public health problem, which has a significant impact on global disease burden. Under the background of climate change, rainstorms increase and floods occur frequently. Most studies show that the incidences of infectious diarrhea disease increase significantly after rainstorm and flood events. However, there is a lack of systematic summary on the path of rainstorm and flood events affecting the incidence of infectious diarrhea, including the key links and mechanisms underlying environmental-social interaction. This study comprehensively combed the literature from environmental factors, socio-economic and cultural factors, and population and individual susceptibility factors. The potential mechanisms of infectious diarrhea caused by rainstorm and flood events were discussed from the aspects of spreading of pathogens, affecting sanitation facilities and (or) drinking water treatment infrastructure, the regulatory role of individual and behavioral factors, and long-term effects. Based on the "pressure-state-response" model, a social driving process model of rainstorm and flood leading to incidence of infectious diarrhea was constructed. This model could provide reference for future quantitative modeling and other research directions. It is helpful to guide the public health departments to accurately identify factors affecting the incidence of infectious diarrhea after rainstorm and flood, so as to take targeted intervention measures.

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