Flood hydrometeorology and gastroenteric infection: The Winter 2015-2016 flood event in the Republic of Ireland

被引:11
|
作者
Boudou, M. [1 ]
OhAiseadha, C. [2 ]
Garvey, P. [3 ]
O'Dwyer, J. [4 ,5 ]
Hynds, P. [1 ,5 ]
机构
[1] Environm Sustainabil & Hlth Inst ESHI, Greenway Hub, Dublin 7, Ireland
[2] Dr Steevens Hosp, Dept Publ Hlth, Hlth Serv Execut HSE, Dublin 8, Ireland
[3] Hlth Protect Surveillance Ctr, 25 Middle Gardiner St, Dublin 1, Ireland
[4] Univ Coll Cork, Sch Biol Earth & Environm Sci, Environm Res Inst ERI, Cork, Ireland
[5] Univ Coll Dublin, Irish Ctr Res Appl Geosci iCRAG, Dublin 4, Ireland
关键词
Flooding; Enteric infection; Time-series; Climate; Environmental processes; ENTEROTOXIGENIC ESCHERICHIA-COLI; WATER; VTEC; CRYPTOSPORIDIOSIS; CONTAMINATION; DIARRHEA; DISEASES; WEATHER; GIARDIA;
D O I
10.1016/j.jhydrol.2021.126376
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
During a 6-week period in November and December 2015, a series of Atlantic Storms swept across the Republic of Ireland (ROI) causing widespread pluvial and fluvial flooding. Flooding was particularly severe in the west and midlands, with rainfall up to 200% above normal in many regions, making it the wettest winter ever recorded. While the infrastructural damage and subsequent costs associated with flood events have, and continue to receive widespread attention, far less coverage is given to the associated adverse human health effects. This is particularly significant in the ROI, which is characterised by the highest crude incidence rates of verotoxigenic E. coli (VTEC) enteritis and cryptosporidiosis in Europe. Accordingly, weekly spatially-referenced infection incidence from July 2015 to June 2016 were employed in concurrence with weekly time-series of cumulative antecedent rainfall, surface water discharge and groundwater level, and high-resolution flood risk mapping. An ensemble of statistical and time-series analyses were used to quantify the influence of flood hydrometeorology on the incidence of confirmed infections. Seasonal decomposition (excluding seasonal patterns and long-term trends) identified a high residual infection peak during April 2016, with space-timing scanning used to identify the location, size and temporal extent of clustering. Excess cases of VTEC enteritis were geographically associated with the midlands, while cryptosporidiosis clusters were widespread. Generalised linear modelling of infection locations show that areas with a surface water body exhibited significantly higher incidence rates for both VTEC (OR: 1.225; p < 0.001) and cryptosporidiosis (OR: 1.363; p < 0.001). ARIMA models show a clear association between rainfall, surface water discharge, groundwater levels and infection incidence, with lagged associations from 16 to 20 weeks particularly strong, thus indicating a link between infection peaks (April 2016) and the flood event which began approximately 18 weeks earlier. All three hydrometeorological variables were associated with the increase in cryptosporidiosis during April 2016, while only surface water discharge was associated with VTEC enteritis. Study findings may be employed for improved risk communication, risk management and surveillance to safeguard public health after large hydrometeorological events.
引用
收藏
页数:12
相关论文
共 50 条
  • [1] The 23 June 2016 West Virginia Flash Flood Event as Observed through Two Hydrometeorology Testbed Experiments
    Martinaitis, Steven M.
    Albright, Benjamin
    Gourley, Jonathan J.
    Perfater, Sarah
    Meyer, Tiffany
    Flamig, Zachary L.
    Clark, Robert A.
    Vergara, Humberto
    Klein, Mark
    [J]. WEATHER AND FORECASTING, 2020, 35 (05) : 2099 - 2126
  • [2] Hydrometeorology of the catastrophic Blanco river flood in South Texas, May 2015
    Furl, Chad
    Sharif, Hatim
    Zeitler, Jon W.
    El Hassan, Almoutaz
    Joseph, John
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2018, 15 : 90 - 104
  • [3] Analysis of the warmest Arctic winter, 2015-2016
    Cullather, Richard I.
    Lim, Young-Kwon
    Boisvert, Linette N.
    Brucker, Ludovic
    Lee, Jae N.
    Nowicki, Sophie M. J.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2016, 43 (20) : 10808 - 10816
  • [5] On the progress of the 2015-2016 El Nino event
    Varotsos, Costas A.
    Tzanis, Chris G.
    Sarlis, Nicholas V.
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2016, 16 (04) : 2007 - 2011
  • [6] Flood simulation with the RiverCure approach: the open dataset of the 2016 Águeda flood event
    Ricardo, Ana M.
    Ferreira, Rui M. L.
    da Silva, Alberto Rodrigues
    Estima, Jacinto
    Marques, Jorge
    Gamito, Ivo
    Serra, Alexandre
    [J]. EARTH SYSTEM SCIENCE DATA, 2024, 16 (01) : 375 - 385
  • [7] The complex behavior of El Nino winter 2015-2016
    Palmeiro, F. M.
    Iza, M.
    Barriopedro, D.
    Calvo, N.
    Garcia-Herrera, R.
    [J]. GEOPHYSICAL RESEARCH LETTERS, 2017, 44 (06) : 2902 - 2910
  • [8] Influence factors and mechanisms of 2015-2016 extreme flood in Pearl River Basin based on the WSDI from GRACE
    Zhang, Lin
    Shen, Yunzhong
    Chen, Qiujie
    Wang, Fengwei
    [J]. JOURNAL OF HYDROLOGY-REGIONAL STUDIES, 2023, 47
  • [9] An Experiment with Air Purifiers in Delhi during Winter 2015-2016
    Vyas, Sangita
    Srivastav, Nikhil
    Spears, Dean
    [J]. PLOS ONE, 2016, 11 (12):
  • [10] Mixing and ageing in the polar lower stratosphere in winter 2015-2016
    Krause, Jens
    Hoor, Peter
    Engel, Andreas
    Ploeger, Felix
    Grooss, Jens-Uwe
    Boenisch, Harald
    Keber, Timo
    Sinnhuber, Bjoern-Martin
    Woiwode, Wolfgang
    Oelhaf, Hermann
    [J]. ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (08) : 6057 - 6073