Effect of Seawater Temperature Increase on the Occurrence of Coastal Vibrio vulnificus Cases: Korean National Surveillance Data from 2003 to 2016
The purpose of this study was to assess the association between seawater temperature and cases in coastal regions of Korea. All cases in coastal regions notified to the Korea Disease Control and Prevention Agency between 2003 and 2016 were included in this work. Data for seawater temperature on the...
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| Veröffentlicht in: | International journal of environmental research and public health 2021-04, Vol.18 (9), p.4439 |
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| creator | Kim, Jungsook Chun, Byung Chul |
| description | The purpose of this study was to assess the association between seawater temperature and
cases in coastal regions of Korea. All
cases in coastal regions notified to the Korea Disease Control and Prevention Agency between 2003 and 2016 were included in this work. Data for seawater temperature on the south, west, and east coast during the study period were provided by the Korea Oceanographic Data Center of the National Institute of Fisheries Science. We used a generalized additive model and performed a negative binomial regression analysis. In total, 383 notified cases were analyzed (west coast: 196 cases, south coast: 162, and east coast: 25). The maximum seawater temperature was the most significant predictor of
cases on the south and east coasts (relative risk according to the 1 °C increase in seawater temperature (RR) = 1.35 (95% confidence interval (CI): 1.19-1.53) and 1.30 (95% CI: 1.06-1.59), respectively). However, the mean seawater temperature was the most significant predictor for the west coast (RR = 1.34 (95% CI: 1.20-1.51)). These results indicate that continuously monitoring seawater temperature increase in each coastal area is crucial to prevent
infections and protect high-risk groups, such as persons with liver disease. |
| doi_str_mv | 10.3390/ijerph18094439 |
| format | Article |
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cases in coastal regions of Korea. All
cases in coastal regions notified to the Korea Disease Control and Prevention Agency between 2003 and 2016 were included in this work. Data for seawater temperature on the south, west, and east coast during the study period were provided by the Korea Oceanographic Data Center of the National Institute of Fisheries Science. We used a generalized additive model and performed a negative binomial regression analysis. In total, 383 notified cases were analyzed (west coast: 196 cases, south coast: 162, and east coast: 25). The maximum seawater temperature was the most significant predictor of
cases on the south and east coasts (relative risk according to the 1 °C increase in seawater temperature (RR) = 1.35 (95% confidence interval (CI): 1.19-1.53) and 1.30 (95% CI: 1.06-1.59), respectively). However, the mean seawater temperature was the most significant predictor for the west coast (RR = 1.34 (95% CI: 1.20-1.51)). These results indicate that continuously monitoring seawater temperature increase in each coastal area is crucial to prevent
infections and protect high-risk groups, such as persons with liver disease.</description><identifier>ISSN: 1660-4601</identifier><identifier>ISSN: 1661-7827</identifier><identifier>EISSN: 1660-4601</identifier><identifier>DOI: 10.3390/ijerph18094439</identifier><identifier>PMID: 33922061</identifier><language>eng</language><publisher>Switzerland: MDPI AG</publisher><subject>Bacteria ; Chemical analysis ; Coastal zone ; Coasts ; Computer centers ; Confidence intervals ; Data centers ; Disease control ; Environmental monitoring ; Epidemiology ; Fatalities ; Fisheries ; Fishery sciences ; Infections ; Infectious diseases ; Liver diseases ; Pathogens ; Regression analysis ; Risk groups ; Seafood ; Seasonal variations ; Seawater ; Sepsis ; Software ; Statistical analysis ; Temperature ; Variables ; Vibrio vulnificus ; Water analysis ; Water temperature</subject><ispartof>International journal of environmental research and public health, 2021-04, Vol.18 (9), p.4439</ispartof><rights>2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2021 by the authors. 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c418t-4b95e2efc1d21a178672b6459bbe6fb3682899059b9bb03621c29fcdd84bb4373</citedby><cites>FETCH-LOGICAL-c418t-4b95e2efc1d21a178672b6459bbe6fb3682899059b9bb03621c29fcdd84bb4373</cites><orcidid>0000-0001-6576-8916</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122616/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8122616/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33922061$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Kim, Jungsook</creatorcontrib><creatorcontrib>Chun, Byung Chul</creatorcontrib><title>Effect of Seawater Temperature Increase on the Occurrence of Coastal Vibrio vulnificus Cases: Korean National Surveillance Data from 2003 to 2016</title><title>International journal of environmental research and public health</title><addtitle>Int J Environ Res Public Health</addtitle><description>The purpose of this study was to assess the association between seawater temperature and
cases in coastal regions of Korea. All
cases in coastal regions notified to the Korea Disease Control and Prevention Agency between 2003 and 2016 were included in this work. Data for seawater temperature on the south, west, and east coast during the study period were provided by the Korea Oceanographic Data Center of the National Institute of Fisheries Science. We used a generalized additive model and performed a negative binomial regression analysis. In total, 383 notified cases were analyzed (west coast: 196 cases, south coast: 162, and east coast: 25). The maximum seawater temperature was the most significant predictor of
cases on the south and east coasts (relative risk according to the 1 °C increase in seawater temperature (RR) = 1.35 (95% confidence interval (CI): 1.19-1.53) and 1.30 (95% CI: 1.06-1.59), respectively). However, the mean seawater temperature was the most significant predictor for the west coast (RR = 1.34 (95% CI: 1.20-1.51)). These results indicate that continuously monitoring seawater temperature increase in each coastal area is crucial to prevent
infections and protect high-risk groups, such as persons with liver disease.</description><subject>Bacteria</subject><subject>Chemical analysis</subject><subject>Coastal zone</subject><subject>Coasts</subject><subject>Computer centers</subject><subject>Confidence intervals</subject><subject>Data centers</subject><subject>Disease control</subject><subject>Environmental monitoring</subject><subject>Epidemiology</subject><subject>Fatalities</subject><subject>Fisheries</subject><subject>Fishery sciences</subject><subject>Infections</subject><subject>Infectious diseases</subject><subject>Liver diseases</subject><subject>Pathogens</subject><subject>Regression analysis</subject><subject>Risk groups</subject><subject>Seafood</subject><subject>Seasonal variations</subject><subject>Seawater</subject><subject>Sepsis</subject><subject>Software</subject><subject>Statistical analysis</subject><subject>Temperature</subject><subject>Variables</subject><subject>Vibrio vulnificus</subject><subject>Water analysis</subject><subject>Water temperature</subject><issn>1660-4601</issn><issn>1661-7827</issn><issn>1660-4601</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpdkUtvUzEQhS0EoqWwZYkssWGT4lccmwUSCgUqKrpoYWvZzpg4uvc69SOIn8E_xmlL1bIae_ydoxkfhF5Scsy5Jm_jBvJ2TRXRQnD9CB1SKclMSEIf3zsfoGelbAjhSkj9FB10KWNE0kP05yQE8BWngC_A_rIVMr6EcQvZ1pYBn04-gy2A04TrGvC59y1nmDzsJctkS7UD_hFdjgnv2jDFEH0reNk15R3-mrp6wt9sjWnq4EXLO4jDYPcGH221OOQ0YtZHwzX1SuVz9CTYocCL23qEvn86uVx-mZ2dfz5dfjibeUFVnQmn58AgeLpi1NKFkgvmpJhr50AGx6ViSmvS771DuGTUMx38aqWEc4Iv-BF6f-O7bW6ElYepZjuYbY6jzb9NstE8fJni2vxMO6MoY5LKbvDm1iCnqwalmjEWD_vlILVi2JwRtRCciI6-_g_dpJb7h1xTis2FuDY8vqF8TqVkCHfDUGL2aZuHaXfBq_sr3OH_4uV_AU6_pyU</recordid><startdate>20210422</startdate><enddate>20210422</enddate><creator>Kim, Jungsook</creator><creator>Chun, Byung Chul</creator><general>MDPI AG</general><general>MDPI</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</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>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>7X8</scope><scope>5PM</scope><orcidid>https://orcid.org/0000-0001-6576-8916</orcidid></search><sort><creationdate>20210422</creationdate><title>Effect of Seawater Temperature Increase on the Occurrence of Coastal Vibrio vulnificus Cases: Korean National Surveillance Data from 2003 to 2016</title><author>Kim, Jungsook ; Chun, Byung Chul</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c418t-4b95e2efc1d21a178672b6459bbe6fb3682899059b9bb03621c29fcdd84bb4373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Bacteria</topic><topic>Chemical analysis</topic><topic>Coastal zone</topic><topic>Coasts</topic><topic>Computer centers</topic><topic>Confidence intervals</topic><topic>Data centers</topic><topic>Disease control</topic><topic>Environmental monitoring</topic><topic>Epidemiology</topic><topic>Fatalities</topic><topic>Fisheries</topic><topic>Fishery sciences</topic><topic>Infections</topic><topic>Infectious diseases</topic><topic>Liver diseases</topic><topic>Pathogens</topic><topic>Regression analysis</topic><topic>Risk groups</topic><topic>Seafood</topic><topic>Seasonal variations</topic><topic>Seawater</topic><topic>Sepsis</topic><topic>Software</topic><topic>Statistical analysis</topic><topic>Temperature</topic><topic>Variables</topic><topic>Vibrio vulnificus</topic><topic>Water analysis</topic><topic>Water temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Kim, Jungsook</creatorcontrib><creatorcontrib>Chun, Byung Chul</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</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>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Access via ProQuest (Open Access)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of environmental research and public health</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Kim, Jungsook</au><au>Chun, Byung Chul</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Effect of Seawater Temperature Increase on the Occurrence of Coastal Vibrio vulnificus Cases: Korean National Surveillance Data from 2003 to 2016</atitle><jtitle>International journal of environmental research and public health</jtitle><addtitle>Int J Environ Res Public Health</addtitle><date>2021-04-22</date><risdate>2021</risdate><volume>18</volume><issue>9</issue><spage>4439</spage><pages>4439-</pages><issn>1660-4601</issn><issn>1661-7827</issn><eissn>1660-4601</eissn><abstract>The purpose of this study was to assess the association between seawater temperature and
cases in coastal regions of Korea. All
cases in coastal regions notified to the Korea Disease Control and Prevention Agency between 2003 and 2016 were included in this work. Data for seawater temperature on the south, west, and east coast during the study period were provided by the Korea Oceanographic Data Center of the National Institute of Fisheries Science. We used a generalized additive model and performed a negative binomial regression analysis. In total, 383 notified cases were analyzed (west coast: 196 cases, south coast: 162, and east coast: 25). The maximum seawater temperature was the most significant predictor of
cases on the south and east coasts (relative risk according to the 1 °C increase in seawater temperature (RR) = 1.35 (95% confidence interval (CI): 1.19-1.53) and 1.30 (95% CI: 1.06-1.59), respectively). However, the mean seawater temperature was the most significant predictor for the west coast (RR = 1.34 (95% CI: 1.20-1.51)). These results indicate that continuously monitoring seawater temperature increase in each coastal area is crucial to prevent
infections and protect high-risk groups, such as persons with liver disease.</abstract><cop>Switzerland</cop><pub>MDPI AG</pub><pmid>33922061</pmid><doi>10.3390/ijerph18094439</doi><orcidid>https://orcid.org/0000-0001-6576-8916</orcidid><oa>free_for_read</oa></addata></record> |
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| source | PubMed Central Open Access; MDPI - Multidisciplinary Digital Publishing Institute; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Bacteria Chemical analysis Coastal zone Coasts Computer centers Confidence intervals Data centers Disease control Environmental monitoring Epidemiology Fatalities Fisheries Fishery sciences Infections Infectious diseases Liver diseases Pathogens Regression analysis Risk groups Seafood Seasonal variations Seawater Sepsis Software Statistical analysis Temperature Variables Vibrio vulnificus Water analysis Water temperature |
| title | Effect of Seawater Temperature Increase on the Occurrence of Coastal Vibrio vulnificus Cases: Korean National Surveillance Data from 2003 to 2016 |
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