Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR
Opisthorchis viverrini is a food-borne trematode species that might give rise to biliary diseases and the fatal cholangiocarcinoma. In Lao PDR, an estimated 2.5 million individuals are infected with O. viverrini, but epidemiological studies are scarce and the spatial distribution of infection remain...
Gespeichert in:
Veröffentlicht in: | PLoS neglected tropical diseases 2012-02, Vol.6 (2), p.e1481 |
---|---|
Hauptverfasser: | , , , , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | |
---|---|
container_issue | 2 |
container_start_page | e1481 |
container_title | PLoS neglected tropical diseases |
container_volume | 6 |
creator | Forrer, Armelle Sayasone, Somphou Vounatsou, Penelope Vonghachack, Youthanavanh Bouakhasith, Dalouny Vogt, Steffen Glaser, Rüdiger Utzinger, Jürg Akkhavong, Kongsap Odermatt, Peter |
description | Opisthorchis viverrini is a food-borne trematode species that might give rise to biliary diseases and the fatal cholangiocarcinoma. In Lao PDR, an estimated 2.5 million individuals are infected with O. viverrini, but epidemiological studies are scarce and the spatial distribution of infection remains to be determined. Our aim was to map the distribution of O. viverrini in southern Lao PDR, identify underlying risk factors, and predict the prevalence of O. viverrini at non-surveyed locations.
A cross-sectional parasitological and questionnaire survey was carried out in 51 villages in Champasack province in the first half of 2007. Data on demography, socioeconomic status, water supply, sanitation, and behavior were combined with remotely sensed environmental data and fed into a geographical information system. Bayesian geostatistical models were employed to identify risk factors and to investigate the spatial pattern of O. viverrini infection. Bayesian kriging was utilized to predict infection risk at non-surveyed locations.
The prevalence of O. viverrini among 3,371 study participants with complete data records was 61.1%. Geostatistical models identified age, Lao Loum ethnic group, educational attainment, occupation (i.e., rice farmer, fisherman, and animal breeder), and unsafe drinking water source as risk factors for infection. History of praziquantel treatment, access to sanitation, and distance to freshwater bodies were found to be protective factors. Spatial patterns of O. viverrini were mainly governed by environmental factors with predictive modeling identifying two different risk profiles: low risk of O. viverrini in the mountains and high risk in the Mekong corridor.
We present the first risk map of O. viverrini infection in Champasack province, which is important for spatial targeting of control efforts. Infection with O. viverrini appears to be strongly associated with exposure to the second intermediate host fish, human behavior and culture, whereas high transmission is sustained by the lack of sanitation. |
doi_str_mv | 10.1371/journal.pntd.0001481 |
format | Article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_1288110106</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A304307412</galeid><doaj_id>oai_doaj_org_article_0b0276aeca214054b93dd05cdb2ac917</doaj_id><sourcerecordid>A304307412</sourcerecordid><originalsourceid>FETCH-LOGICAL-c689t-af927f2d338458ac2eed9973e355abcfe0dcf303d3c784146160f969c8bf61d83</originalsourceid><addsrcrecordid>eNp1kluLGyEYhofS0j20_6C0QqFXm9TDzKg3hWV7Wghs6eFaHA8Z04mm6gT679cks0sCLV4o-ryvr59fVb1CcI4IRe9XYYxeDvONz3oOIUQ1Q0-qc8RJM8OUNE-P1mfVRUorCBveMPS8OsOYFLqh55X6sZHZyQFol3J03Zhd8CDYKyC9BtGl38BKlUNMwIZ4Be42hetDVL1LYOu2JkbnHXDeGrWXOg9SGHNvogcLGcC3j99fVM-sHJJ5Oc2X1a_Pn37efJ0t7r7c3lwvZqplPM-k5ZharAlhdcOkwsZozikxpGlkp6yBWlkCiSaKshrVLWqh5S1XrLMt0oxcVm8OvpshJDHVJwmEGUMIItgW4vZA6CBXYhPdWsa_Ikgn9hshLoWM2anBCNhBTFtplMSohk3dcaI1bJTusFQc0eL1Ybpt7NZGK-NzlMOJ6emJd71Yhq0gmHJCdmHeTgYx_BlNyv-JPFFLWVKVOodiptYuKXFNYE0grREu1PwfVBnarJ0K3lhX9k8E744EvZFD7lMY9t-fTsH6AKoYUorGPr4QQbFrxIfUYteIYmrEInt9XJ1H0UPnkXvNOdq-</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1288110106</pqid></control><display><type>article</type><title>Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>PubMed Central Open Access</source><source>Public Library of Science (PLoS) Journals Open Access</source><source>EZB-FREE-00999 freely available EZB journals</source><source>PubMed Central</source><creator>Forrer, Armelle ; Sayasone, Somphou ; Vounatsou, Penelope ; Vonghachack, Youthanavanh ; Bouakhasith, Dalouny ; Vogt, Steffen ; Glaser, Rüdiger ; Utzinger, Jürg ; Akkhavong, Kongsap ; Odermatt, Peter</creator><contributor>Brooker, Simon</contributor><creatorcontrib>Forrer, Armelle ; Sayasone, Somphou ; Vounatsou, Penelope ; Vonghachack, Youthanavanh ; Bouakhasith, Dalouny ; Vogt, Steffen ; Glaser, Rüdiger ; Utzinger, Jürg ; Akkhavong, Kongsap ; Odermatt, Peter ; Brooker, Simon</creatorcontrib><description>Opisthorchis viverrini is a food-borne trematode species that might give rise to biliary diseases and the fatal cholangiocarcinoma. In Lao PDR, an estimated 2.5 million individuals are infected with O. viverrini, but epidemiological studies are scarce and the spatial distribution of infection remains to be determined. Our aim was to map the distribution of O. viverrini in southern Lao PDR, identify underlying risk factors, and predict the prevalence of O. viverrini at non-surveyed locations.
A cross-sectional parasitological and questionnaire survey was carried out in 51 villages in Champasack province in the first half of 2007. Data on demography, socioeconomic status, water supply, sanitation, and behavior were combined with remotely sensed environmental data and fed into a geographical information system. Bayesian geostatistical models were employed to identify risk factors and to investigate the spatial pattern of O. viverrini infection. Bayesian kriging was utilized to predict infection risk at non-surveyed locations.
The prevalence of O. viverrini among 3,371 study participants with complete data records was 61.1%. Geostatistical models identified age, Lao Loum ethnic group, educational attainment, occupation (i.e., rice farmer, fisherman, and animal breeder), and unsafe drinking water source as risk factors for infection. History of praziquantel treatment, access to sanitation, and distance to freshwater bodies were found to be protective factors. Spatial patterns of O. viverrini were mainly governed by environmental factors with predictive modeling identifying two different risk profiles: low risk of O. viverrini in the mountains and high risk in the Mekong corridor.
We present the first risk map of O. viverrini infection in Champasack province, which is important for spatial targeting of control efforts. Infection with O. viverrini appears to be strongly associated with exposure to the second intermediate host fish, human behavior and culture, whereas high transmission is sustained by the lack of sanitation.</description><identifier>ISSN: 1935-2735</identifier><identifier>ISSN: 1935-2727</identifier><identifier>EISSN: 1935-2735</identifier><identifier>DOI: 10.1371/journal.pntd.0001481</identifier><identifier>PMID: 22348157</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Animals ; Bile ducts ; Child ; Child, Preschool ; Cholangiocarcinoma ; Consent ; Cross-Sectional Studies ; Demographic aspects ; Demography ; Development and progression ; Drinking water ; Environmental factors ; Female ; Fluke infections ; Foodborne Diseases - epidemiology ; Geographic information systems ; Geography ; Health risks ; Humans ; Infant ; Infections ; Laos - epidemiology ; Liver ; Male ; Medical geography ; Medicine ; Middle Aged ; Minority & ethnic groups ; Models, Statistical ; Mountains ; Opisthorchiasis - epidemiology ; Opisthorchis - isolation & purification ; Parasitic diseases ; Prevalence ; Public health ; Risk Factors ; Sanitation ; Socioeconomic factors ; Socioeconomics ; Spatial distribution ; Surveys and Questionnaires ; Tropical diseases ; Water supply ; Young Adult</subject><ispartof>PLoS neglected tropical diseases, 2012-02, Vol.6 (2), p.e1481</ispartof><rights>COPYRIGHT 2012 Public Library of Science</rights><rights>2012 Forrer et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited: Forrer A, Sayasone S, Vounatsou P, Vonghachack Y, Bouakhasith D, et al. (2012) Spatial Distribution of, and Risk Factors for, Opisthorchis viverrini Infection in Southern Lao PDR. PLoS Negl Trop Dis 6(2): e1481. doi:10.1371/journal.pntd.0001481</rights><rights>Forrer et al. 2012</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c689t-af927f2d338458ac2eed9973e355abcfe0dcf303d3c784146160f969c8bf61d83</citedby><cites>FETCH-LOGICAL-c689t-af927f2d338458ac2eed9973e355abcfe0dcf303d3c784146160f969c8bf61d83</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279336/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3279336/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22348157$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Brooker, Simon</contributor><creatorcontrib>Forrer, Armelle</creatorcontrib><creatorcontrib>Sayasone, Somphou</creatorcontrib><creatorcontrib>Vounatsou, Penelope</creatorcontrib><creatorcontrib>Vonghachack, Youthanavanh</creatorcontrib><creatorcontrib>Bouakhasith, Dalouny</creatorcontrib><creatorcontrib>Vogt, Steffen</creatorcontrib><creatorcontrib>Glaser, Rüdiger</creatorcontrib><creatorcontrib>Utzinger, Jürg</creatorcontrib><creatorcontrib>Akkhavong, Kongsap</creatorcontrib><creatorcontrib>Odermatt, Peter</creatorcontrib><title>Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR</title><title>PLoS neglected tropical diseases</title><addtitle>PLoS Negl Trop Dis</addtitle><description>Opisthorchis viverrini is a food-borne trematode species that might give rise to biliary diseases and the fatal cholangiocarcinoma. In Lao PDR, an estimated 2.5 million individuals are infected with O. viverrini, but epidemiological studies are scarce and the spatial distribution of infection remains to be determined. Our aim was to map the distribution of O. viverrini in southern Lao PDR, identify underlying risk factors, and predict the prevalence of O. viverrini at non-surveyed locations.
A cross-sectional parasitological and questionnaire survey was carried out in 51 villages in Champasack province in the first half of 2007. Data on demography, socioeconomic status, water supply, sanitation, and behavior were combined with remotely sensed environmental data and fed into a geographical information system. Bayesian geostatistical models were employed to identify risk factors and to investigate the spatial pattern of O. viverrini infection. Bayesian kriging was utilized to predict infection risk at non-surveyed locations.
The prevalence of O. viverrini among 3,371 study participants with complete data records was 61.1%. Geostatistical models identified age, Lao Loum ethnic group, educational attainment, occupation (i.e., rice farmer, fisherman, and animal breeder), and unsafe drinking water source as risk factors for infection. History of praziquantel treatment, access to sanitation, and distance to freshwater bodies were found to be protective factors. Spatial patterns of O. viverrini were mainly governed by environmental factors with predictive modeling identifying two different risk profiles: low risk of O. viverrini in the mountains and high risk in the Mekong corridor.
We present the first risk map of O. viverrini infection in Champasack province, which is important for spatial targeting of control efforts. Infection with O. viverrini appears to be strongly associated with exposure to the second intermediate host fish, human behavior and culture, whereas high transmission is sustained by the lack of sanitation.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Animals</subject><subject>Bile ducts</subject><subject>Child</subject><subject>Child, Preschool</subject><subject>Cholangiocarcinoma</subject><subject>Consent</subject><subject>Cross-Sectional Studies</subject><subject>Demographic aspects</subject><subject>Demography</subject><subject>Development and progression</subject><subject>Drinking water</subject><subject>Environmental factors</subject><subject>Female</subject><subject>Fluke infections</subject><subject>Foodborne Diseases - epidemiology</subject><subject>Geographic information systems</subject><subject>Geography</subject><subject>Health risks</subject><subject>Humans</subject><subject>Infant</subject><subject>Infections</subject><subject>Laos - epidemiology</subject><subject>Liver</subject><subject>Male</subject><subject>Medical geography</subject><subject>Medicine</subject><subject>Middle Aged</subject><subject>Minority & ethnic groups</subject><subject>Models, Statistical</subject><subject>Mountains</subject><subject>Opisthorchiasis - epidemiology</subject><subject>Opisthorchis - isolation & purification</subject><subject>Parasitic diseases</subject><subject>Prevalence</subject><subject>Public health</subject><subject>Risk Factors</subject><subject>Sanitation</subject><subject>Socioeconomic factors</subject><subject>Socioeconomics</subject><subject>Spatial distribution</subject><subject>Surveys and Questionnaires</subject><subject>Tropical diseases</subject><subject>Water supply</subject><subject>Young Adult</subject><issn>1935-2735</issn><issn>1935-2727</issn><issn>1935-2735</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</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>DOA</sourceid><recordid>eNp1kluLGyEYhofS0j20_6C0QqFXm9TDzKg3hWV7Wghs6eFaHA8Z04mm6gT679cks0sCLV4o-ryvr59fVb1CcI4IRe9XYYxeDvONz3oOIUQ1Q0-qc8RJM8OUNE-P1mfVRUorCBveMPS8OsOYFLqh55X6sZHZyQFol3J03Zhd8CDYKyC9BtGl38BKlUNMwIZ4Be42hetDVL1LYOu2JkbnHXDeGrWXOg9SGHNvogcLGcC3j99fVM-sHJJ5Oc2X1a_Pn37efJ0t7r7c3lwvZqplPM-k5ZharAlhdcOkwsZozikxpGlkp6yBWlkCiSaKshrVLWqh5S1XrLMt0oxcVm8OvpshJDHVJwmEGUMIItgW4vZA6CBXYhPdWsa_Ikgn9hshLoWM2anBCNhBTFtplMSohk3dcaI1bJTusFQc0eL1Ybpt7NZGK-NzlMOJ6emJd71Yhq0gmHJCdmHeTgYx_BlNyv-JPFFLWVKVOodiptYuKXFNYE0grREu1PwfVBnarJ0K3lhX9k8E744EvZFD7lMY9t-fTsH6AKoYUorGPr4QQbFrxIfUYteIYmrEInt9XJ1H0UPnkXvNOdq-</recordid><startdate>20120201</startdate><enddate>20120201</enddate><creator>Forrer, Armelle</creator><creator>Sayasone, Somphou</creator><creator>Vounatsou, Penelope</creator><creator>Vonghachack, Youthanavanh</creator><creator>Bouakhasith, Dalouny</creator><creator>Vogt, Steffen</creator><creator>Glaser, Rüdiger</creator><creator>Utzinger, Jürg</creator><creator>Akkhavong, Kongsap</creator><creator>Odermatt, Peter</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</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>7QL</scope><scope>7SS</scope><scope>7T2</scope><scope>7T7</scope><scope>7U9</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8C1</scope><scope>8FD</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>H94</scope><scope>H95</scope><scope>H97</scope><scope>K9.</scope><scope>L.G</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>P64</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20120201</creationdate><title>Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR</title><author>Forrer, Armelle ; Sayasone, Somphou ; Vounatsou, Penelope ; Vonghachack, Youthanavanh ; Bouakhasith, Dalouny ; Vogt, Steffen ; Glaser, Rüdiger ; Utzinger, Jürg ; Akkhavong, Kongsap ; Odermatt, Peter</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c689t-af927f2d338458ac2eed9973e355abcfe0dcf303d3c784146160f969c8bf61d83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Animals</topic><topic>Bile ducts</topic><topic>Child</topic><topic>Child, Preschool</topic><topic>Cholangiocarcinoma</topic><topic>Consent</topic><topic>Cross-Sectional Studies</topic><topic>Demographic aspects</topic><topic>Demography</topic><topic>Development and progression</topic><topic>Drinking water</topic><topic>Environmental factors</topic><topic>Female</topic><topic>Fluke infections</topic><topic>Foodborne Diseases - epidemiology</topic><topic>Geographic information systems</topic><topic>Geography</topic><topic>Health risks</topic><topic>Humans</topic><topic>Infant</topic><topic>Infections</topic><topic>Laos - epidemiology</topic><topic>Liver</topic><topic>Male</topic><topic>Medical geography</topic><topic>Medicine</topic><topic>Middle Aged</topic><topic>Minority & ethnic groups</topic><topic>Models, Statistical</topic><topic>Mountains</topic><topic>Opisthorchiasis - epidemiology</topic><topic>Opisthorchis - isolation & purification</topic><topic>Parasitic diseases</topic><topic>Prevalence</topic><topic>Public health</topic><topic>Risk Factors</topic><topic>Sanitation</topic><topic>Socioeconomic factors</topic><topic>Socioeconomics</topic><topic>Spatial distribution</topic><topic>Surveys and Questionnaires</topic><topic>Tropical diseases</topic><topic>Water supply</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Forrer, Armelle</creatorcontrib><creatorcontrib>Sayasone, Somphou</creatorcontrib><creatorcontrib>Vounatsou, Penelope</creatorcontrib><creatorcontrib>Vonghachack, Youthanavanh</creatorcontrib><creatorcontrib>Bouakhasith, Dalouny</creatorcontrib><creatorcontrib>Vogt, Steffen</creatorcontrib><creatorcontrib>Glaser, Rüdiger</creatorcontrib><creatorcontrib>Utzinger, Jürg</creatorcontrib><creatorcontrib>Akkhavong, Kongsap</creatorcontrib><creatorcontrib>Odermatt, Peter</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>Bacteriology Abstracts (Microbiology B)</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Health and Safety Science Abstracts (Full archive)</collection><collection>Industrial and Applied Microbiology Abstracts (Microbiology A)</collection><collection>Virology and AIDS 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>Technology Research 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>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>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 3: Aquatic Pollution & Environmental Quality</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>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</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>ProQuest Central China</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PLoS neglected tropical diseases</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Forrer, Armelle</au><au>Sayasone, Somphou</au><au>Vounatsou, Penelope</au><au>Vonghachack, Youthanavanh</au><au>Bouakhasith, Dalouny</au><au>Vogt, Steffen</au><au>Glaser, Rüdiger</au><au>Utzinger, Jürg</au><au>Akkhavong, Kongsap</au><au>Odermatt, Peter</au><au>Brooker, Simon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR</atitle><jtitle>PLoS neglected tropical diseases</jtitle><addtitle>PLoS Negl Trop Dis</addtitle><date>2012-02-01</date><risdate>2012</risdate><volume>6</volume><issue>2</issue><spage>e1481</spage><pages>e1481-</pages><issn>1935-2735</issn><issn>1935-2727</issn><eissn>1935-2735</eissn><abstract>Opisthorchis viverrini is a food-borne trematode species that might give rise to biliary diseases and the fatal cholangiocarcinoma. In Lao PDR, an estimated 2.5 million individuals are infected with O. viverrini, but epidemiological studies are scarce and the spatial distribution of infection remains to be determined. Our aim was to map the distribution of O. viverrini in southern Lao PDR, identify underlying risk factors, and predict the prevalence of O. viverrini at non-surveyed locations.
A cross-sectional parasitological and questionnaire survey was carried out in 51 villages in Champasack province in the first half of 2007. Data on demography, socioeconomic status, water supply, sanitation, and behavior were combined with remotely sensed environmental data and fed into a geographical information system. Bayesian geostatistical models were employed to identify risk factors and to investigate the spatial pattern of O. viverrini infection. Bayesian kriging was utilized to predict infection risk at non-surveyed locations.
The prevalence of O. viverrini among 3,371 study participants with complete data records was 61.1%. Geostatistical models identified age, Lao Loum ethnic group, educational attainment, occupation (i.e., rice farmer, fisherman, and animal breeder), and unsafe drinking water source as risk factors for infection. History of praziquantel treatment, access to sanitation, and distance to freshwater bodies were found to be protective factors. Spatial patterns of O. viverrini were mainly governed by environmental factors with predictive modeling identifying two different risk profiles: low risk of O. viverrini in the mountains and high risk in the Mekong corridor.
We present the first risk map of O. viverrini infection in Champasack province, which is important for spatial targeting of control efforts. Infection with O. viverrini appears to be strongly associated with exposure to the second intermediate host fish, human behavior and culture, whereas high transmission is sustained by the lack of sanitation.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>22348157</pmid><doi>10.1371/journal.pntd.0001481</doi><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1935-2735 |
ispartof | PLoS neglected tropical diseases, 2012-02, Vol.6 (2), p.e1481 |
issn | 1935-2735 1935-2727 1935-2735 |
language | eng |
recordid | cdi_plos_journals_1288110106 |
source | MEDLINE; DOAJ Directory of Open Access Journals; PubMed Central Open Access; Public Library of Science (PLoS) Journals Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central |
subjects | Adolescent Adult Aged Aged, 80 and over Animals Bile ducts Child Child, Preschool Cholangiocarcinoma Consent Cross-Sectional Studies Demographic aspects Demography Development and progression Drinking water Environmental factors Female Fluke infections Foodborne Diseases - epidemiology Geographic information systems Geography Health risks Humans Infant Infections Laos - epidemiology Liver Male Medical geography Medicine Middle Aged Minority & ethnic groups Models, Statistical Mountains Opisthorchiasis - epidemiology Opisthorchis - isolation & purification Parasitic diseases Prevalence Public health Risk Factors Sanitation Socioeconomic factors Socioeconomics Spatial distribution Surveys and Questionnaires Tropical diseases Water supply Young Adult |
title | Spatial distribution of, and risk factors for, Opisthorchis viverrini infection in southern Lao PDR |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-29T20%3A41%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spatial%20distribution%20of,%20and%20risk%20factors%20for,%20Opisthorchis%20viverrini%20infection%20in%20southern%20Lao%20PDR&rft.jtitle=PLoS%20neglected%20tropical%20diseases&rft.au=Forrer,%20Armelle&rft.date=2012-02-01&rft.volume=6&rft.issue=2&rft.spage=e1481&rft.pages=e1481-&rft.issn=1935-2735&rft.eissn=1935-2735&rft_id=info:doi/10.1371/journal.pntd.0001481&rft_dat=%3Cgale_plos_%3EA304307412%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1288110106&rft_id=info:pmid/22348157&rft_galeid=A304307412&rft_doaj_id=oai_doaj_org_article_0b0276aeca214054b93dd05cdb2ac917&rfr_iscdi=true |