Effect of precipitation on seasonal variability in cryptosporidiosis recorded by the North West England surveillance system in 1990-1999
The goal of this study was to examine temporal and spatial variability of reported cryptosporidiosis in 15 health authorities in the North West of England using regression modelling. We also examined the role of precipitation as a driving factor for seasonal variation. We separated the time series o...
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Veröffentlicht in: | Journal of water and health 2005-06, Vol.3 (2), p.185-196 |
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description | The goal of this study was to examine temporal and spatial variability of reported cryptosporidiosis in 15 health authorities in the North West of England using regression modelling. We also examined the role of precipitation as a driving factor for seasonal variation. We separated the time series of the reported cryptosporidiosis into two processes: an endemic process and an epidemic process, and examined the spatial variability of each of these processes. In the North West region of England we observed a strong seasonal pattern that consists of two waves, spring and autumn, during which the weekly rates exceeded the endemic level 3.5 and 3 times, respectively. Health authorities with the high endemic cryptosporidiosis incidence and well-pronounced seasonal patterns exhibited a significant increase in rates of cryptosporidiosis associated with increased precipitation. The endemic level and the magnitude of epidemic peaks were inversely related, which might be indicative of multiple exposures to the pathogen in these localities and the development of some partial immunity. |
doi_str_mv | 10.2166/wh.2005.0017 |
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We also examined the role of precipitation as a driving factor for seasonal variation. We separated the time series of the reported cryptosporidiosis into two processes: an endemic process and an epidemic process, and examined the spatial variability of each of these processes. In the North West region of England we observed a strong seasonal pattern that consists of two waves, spring and autumn, during which the weekly rates exceeded the endemic level 3.5 and 3 times, respectively. Health authorities with the high endemic cryptosporidiosis incidence and well-pronounced seasonal patterns exhibited a significant increase in rates of cryptosporidiosis associated with increased precipitation. 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The endemic level and the magnitude of epidemic peaks were inversely related, which might be indicative of multiple exposures to the pathogen in these localities and the development of some partial immunity.</description><subject>Animals</subject><subject>Cryptosporidiosis</subject><subject>Cryptosporidiosis - epidemiology</subject><subject>Endemic Diseases</subject><subject>England - epidemiology</subject><subject>Epidemics</subject><subject>Humans</subject><subject>Immunity</subject><subject>Modelling</subject><subject>Pathogens</subject><subject>Population Surveillance - methods</subject><subject>Precipitation</subject><subject>Rain</subject><subject>Seasonal variation</subject><subject>Seasonal variations</subject><subject>Seasons</subject><subject>Spatial variations</subject><issn>1477-8920</issn><issn>1996-7829</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2005</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNqFkUtLxDAUhYMovneuJSC4smMebR5LGcYHiG4UlyWTpE6k09QkVfoP_NmmOCC4EUJyF18O554DwAlGM4IZu_xczQhC1QwhzLfAPpaSFVwQuZ3nkvNCSIL2wEGMbwgRRiqyC_YwQ7ySJd0HX4umsTpB38A-WO16l1RyvoP5RKui71QLP1Rwaulal0boOqjD2Ccfex-ccT66CPNPH4w1cDnCtLLwwYe0gi82JrjoXlvVGRiH8GFdm2dtYRxjsutJK9tFRb7kEdhpVBvt8eY9BM_Xi6f5bXH_eHM3v7ovNM0LFtw2uDF5JUZLKSjVJUOMGVohYzQRQlGNK8oFa4iWzAjKWU7HGIwp5yUh9BCc_-j2wb8P2WG9dlHbyZj1Q6yZKKkUmP4L4klYVCKDZ3_ANz-EnFtmcsZIEMJRpi5-KB18jME2dR_cWoWxxqieiqw_V_VUZD0VmfHTjeiwXFvzC2-ao99z85eN</recordid><startdate>200506</startdate><enddate>200506</enddate><creator>Naumova, Elena N</creator><creator>Christodouleas, John</creator><creator>Hunter, Paul R</creator><creator>Syed, Qutub</creator><general>IWA Publishing</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7UA</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H97</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>7TV</scope><scope>H96</scope><scope>7X8</scope></search><sort><creationdate>200506</creationdate><title>Effect of precipitation on seasonal variability in cryptosporidiosis recorded by the North West England surveillance system in 1990-1999</title><author>Naumova, Elena N ; Christodouleas, John ; Hunter, Paul R ; Syed, Qutub</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c3017-7ef1fd9206349833c46066d350ddc288a3c153786f2c96d8376200dd113774223</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2005</creationdate><topic>Animals</topic><topic>Cryptosporidiosis</topic><topic>Cryptosporidiosis - epidemiology</topic><topic>Endemic Diseases</topic><topic>England - epidemiology</topic><topic>Epidemics</topic><topic>Humans</topic><topic>Immunity</topic><topic>Modelling</topic><topic>Pathogens</topic><topic>Population Surveillance - methods</topic><topic>Precipitation</topic><topic>Rain</topic><topic>Seasonal variation</topic><topic>Seasonal variations</topic><topic>Seasons</topic><topic>Spatial variations</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Naumova, Elena N</creatorcontrib><creatorcontrib>Christodouleas, John</creatorcontrib><creatorcontrib>Hunter, Paul R</creatorcontrib><creatorcontrib>Syed, Qutub</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Public Health Database</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>Pollution Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of water and health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Naumova, Elena N</au><au>Christodouleas, John</au><au>Hunter, Paul R</au><au>Syed, Qutub</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of precipitation on seasonal variability in cryptosporidiosis recorded by the North West England surveillance system in 1990-1999</atitle><jtitle>Journal of water and health</jtitle><addtitle>J Water Health</addtitle><date>2005-06</date><risdate>2005</risdate><volume>3</volume><issue>2</issue><spage>185</spage><epage>196</epage><pages>185-196</pages><issn>1477-8920</issn><eissn>1996-7829</eissn><abstract>The goal of this study was to examine temporal and spatial variability of reported cryptosporidiosis in 15 health authorities in the North West of England using regression modelling. We also examined the role of precipitation as a driving factor for seasonal variation. We separated the time series of the reported cryptosporidiosis into two processes: an endemic process and an epidemic process, and examined the spatial variability of each of these processes. In the North West region of England we observed a strong seasonal pattern that consists of two waves, spring and autumn, during which the weekly rates exceeded the endemic level 3.5 and 3 times, respectively. Health authorities with the high endemic cryptosporidiosis incidence and well-pronounced seasonal patterns exhibited a significant increase in rates of cryptosporidiosis associated with increased precipitation. The endemic level and the magnitude of epidemic peaks were inversely related, which might be indicative of multiple exposures to the pathogen in these localities and the development of some partial immunity.</abstract><cop>England</cop><pub>IWA Publishing</pub><pmid>16075943</pmid><doi>10.2166/wh.2005.0017</doi><tpages>12</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Animals Cryptosporidiosis Cryptosporidiosis - epidemiology Endemic Diseases England - epidemiology Epidemics Humans Immunity Modelling Pathogens Population Surveillance - methods Precipitation Rain Seasonal variation Seasonal variations Seasons Spatial variations |
title | Effect of precipitation on seasonal variability in cryptosporidiosis recorded by the North West England surveillance system in 1990-1999 |
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