Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India.
Identifieur interne : 002310 ( PubMed/Curation ); précédent : 002309; suivant : 002311Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India.
Auteurs : Suryanaryana Murty Upadhyayula [Inde] ; Srinivasa Rao Mutheneni ; Sriram Kumaraswamy ; Madhusudhan Rao Kadiri ; Sampath Kumar Pabbisetty ; Venkata Suryanarayana Murthy YellepeddiSource :
- Vector borne and zoonotic diseases (Larchmont, N.Y.) [ 1557-7759 ] ; 2012.
Descripteurs français
- KwdFr :
- MESH :
- sang : Filariose lymphatique.
- épidémiologie : Filariose lymphatique, Inde.
- Facteurs de risque, Femelle, Filariose lymphatique, Humains, Interface utilisateur, Logiciel, Mâle, Odds ratio, Prévalence, Systèmes d'information géographique.
- Wicri :
- geographic : Inde.
English descriptors
- KwdEn :
- MESH :
- geographic , epidemiology : India.
- blood : Elephantiasis, Filarial.
- epidemiology : Elephantiasis, Filarial.
- prevention & control : Elephantiasis, Filarial.
- Female, Geographic Information Systems, Humans, Male, Odds Ratio, Prevalence, Risk Factors, Software, User-Computer Interface.
Abstract
Among various public health diseases, filariasis constitutes a major public health problem in India, wherein an estimated 553.7 million people are at risk of infection. The aim of this article is to present a spatial mapping and analysis of filariasis data over a 3-year period (2004-2007) from Karimnagar, Chittoor, East and West Godavari districts of Andhra Pradesh, India. The data include epidemiological and entomological studies (i.e., infection rate, infectivity rate, mosquito per man hour, and microfilaria rate). These parameters were customized on Geographical Information System (GIS) platform and developed filaria monitoring visualization system (FMVS) for identifying the endemic/risk areas of filariasis among these four districts. GIS map for filariasis transmission from the study areas was created and stratified into different spatial entities like low, medium, and high risk zones. On the basis of the data and FMVS maps, it was demonstrated that filariasis remained unevenly distributed within the districts. Balancing the intervention coverage in different villages with overall mass drug administration and continued promotion of the proper use of control measures are necessary for further reduction of filarial cases in these districts.
DOI: 10.1089/vbz.2011.0713
PubMed: 22256792
Links toward previous steps (curation, corpus...)
- to stream PubMed, to step Corpus: Pour aller vers cette notice dans l'étape Curation :002310
Links to Exploration step
pubmed:22256792Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India.</title>
<author><name sortKey="Upadhyayula, Suryanaryana Murty" sort="Upadhyayula, Suryanaryana Murty" uniqKey="Upadhyayula S" first="Suryanaryana Murty" last="Upadhyayula">Suryanaryana Murty Upadhyayula</name>
<affiliation wicri:level="1"><nlm:affiliation>Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology-CSIR, Hyderabad, Andhra Pradesh, India. murty_usn@yahoo.com</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology-CSIR, Hyderabad, Andhra Pradesh</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Mutheneni, Srinivasa Rao" sort="Mutheneni, Srinivasa Rao" uniqKey="Mutheneni S" first="Srinivasa Rao" last="Mutheneni">Srinivasa Rao Mutheneni</name>
</author>
<author><name sortKey="Kumaraswamy, Sriram" sort="Kumaraswamy, Sriram" uniqKey="Kumaraswamy S" first="Sriram" last="Kumaraswamy">Sriram Kumaraswamy</name>
</author>
<author><name sortKey="Kadiri, Madhusudhan Rao" sort="Kadiri, Madhusudhan Rao" uniqKey="Kadiri M" first="Madhusudhan Rao" last="Kadiri">Madhusudhan Rao Kadiri</name>
</author>
<author><name sortKey="Pabbisetty, Sampath Kumar" sort="Pabbisetty, Sampath Kumar" uniqKey="Pabbisetty S" first="Sampath Kumar" last="Pabbisetty">Sampath Kumar Pabbisetty</name>
</author>
<author><name sortKey="Yellepeddi, Venkata Suryanarayana Murthy" sort="Yellepeddi, Venkata Suryanarayana Murthy" uniqKey="Yellepeddi V" first="Venkata Suryanarayana Murthy" last="Yellepeddi">Venkata Suryanarayana Murthy Yellepeddi</name>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">PubMed</idno>
<date when="2012">2012</date>
<idno type="RBID">pubmed:22256792</idno>
<idno type="pmid">22256792</idno>
<idno type="doi">10.1089/vbz.2011.0713</idno>
<idno type="wicri:Area/PubMed/Corpus">002310</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">002310</idno>
<idno type="wicri:Area/PubMed/Curation">002310</idno>
<idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Curation">002310</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India.</title>
<author><name sortKey="Upadhyayula, Suryanaryana Murty" sort="Upadhyayula, Suryanaryana Murty" uniqKey="Upadhyayula S" first="Suryanaryana Murty" last="Upadhyayula">Suryanaryana Murty Upadhyayula</name>
<affiliation wicri:level="1"><nlm:affiliation>Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology-CSIR, Hyderabad, Andhra Pradesh, India. murty_usn@yahoo.com</nlm:affiliation>
<country xml:lang="fr">Inde</country>
<wicri:regionArea>Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology-CSIR, Hyderabad, Andhra Pradesh</wicri:regionArea>
</affiliation>
</author>
<author><name sortKey="Mutheneni, Srinivasa Rao" sort="Mutheneni, Srinivasa Rao" uniqKey="Mutheneni S" first="Srinivasa Rao" last="Mutheneni">Srinivasa Rao Mutheneni</name>
</author>
<author><name sortKey="Kumaraswamy, Sriram" sort="Kumaraswamy, Sriram" uniqKey="Kumaraswamy S" first="Sriram" last="Kumaraswamy">Sriram Kumaraswamy</name>
</author>
<author><name sortKey="Kadiri, Madhusudhan Rao" sort="Kadiri, Madhusudhan Rao" uniqKey="Kadiri M" first="Madhusudhan Rao" last="Kadiri">Madhusudhan Rao Kadiri</name>
</author>
<author><name sortKey="Pabbisetty, Sampath Kumar" sort="Pabbisetty, Sampath Kumar" uniqKey="Pabbisetty S" first="Sampath Kumar" last="Pabbisetty">Sampath Kumar Pabbisetty</name>
</author>
<author><name sortKey="Yellepeddi, Venkata Suryanarayana Murthy" sort="Yellepeddi, Venkata Suryanarayana Murthy" uniqKey="Yellepeddi V" first="Venkata Suryanarayana Murthy" last="Yellepeddi">Venkata Suryanarayana Murthy Yellepeddi</name>
</author>
</analytic>
<series><title level="j">Vector borne and zoonotic diseases (Larchmont, N.Y.)</title>
<idno type="eISSN">1557-7759</idno>
<imprint><date when="2012" type="published">2012</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Elephantiasis, Filarial (blood)</term>
<term>Elephantiasis, Filarial (epidemiology)</term>
<term>Elephantiasis, Filarial (prevention & control)</term>
<term>Female</term>
<term>Geographic Information Systems</term>
<term>Humans</term>
<term>India (epidemiology)</term>
<term>Male</term>
<term>Odds Ratio</term>
<term>Prevalence</term>
<term>Risk Factors</term>
<term>Software</term>
<term>User-Computer Interface</term>
</keywords>
<keywords scheme="KwdFr" xml:lang="fr"><term>Facteurs de risque</term>
<term>Femelle</term>
<term>Filariose lymphatique ()</term>
<term>Filariose lymphatique (sang)</term>
<term>Filariose lymphatique (épidémiologie)</term>
<term>Humains</term>
<term>Inde (épidémiologie)</term>
<term>Interface utilisateur</term>
<term>Logiciel</term>
<term>Mâle</term>
<term>Odds ratio</term>
<term>Prévalence</term>
<term>Systèmes d'information géographique</term>
</keywords>
<keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>India</term>
</keywords>
<keywords scheme="MESH" qualifier="blood" xml:lang="en"><term>Elephantiasis, Filarial</term>
</keywords>
<keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Elephantiasis, Filarial</term>
</keywords>
<keywords scheme="MESH" qualifier="prevention & control" xml:lang="en"><term>Elephantiasis, Filarial</term>
</keywords>
<keywords scheme="MESH" qualifier="sang" xml:lang="fr"><term>Filariose lymphatique</term>
</keywords>
<keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Filariose lymphatique</term>
<term>Inde</term>
</keywords>
<keywords scheme="MESH" xml:lang="en"><term>Female</term>
<term>Geographic Information Systems</term>
<term>Humans</term>
<term>Male</term>
<term>Odds Ratio</term>
<term>Prevalence</term>
<term>Risk Factors</term>
<term>Software</term>
<term>User-Computer Interface</term>
</keywords>
<keywords scheme="MESH" xml:lang="fr"><term>Facteurs de risque</term>
<term>Femelle</term>
<term>Filariose lymphatique</term>
<term>Humains</term>
<term>Interface utilisateur</term>
<term>Logiciel</term>
<term>Mâle</term>
<term>Odds ratio</term>
<term>Prévalence</term>
<term>Systèmes d'information géographique</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>Inde</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Among various public health diseases, filariasis constitutes a major public health problem in India, wherein an estimated 553.7 million people are at risk of infection. The aim of this article is to present a spatial mapping and analysis of filariasis data over a 3-year period (2004-2007) from Karimnagar, Chittoor, East and West Godavari districts of Andhra Pradesh, India. The data include epidemiological and entomological studies (i.e., infection rate, infectivity rate, mosquito per man hour, and microfilaria rate). These parameters were customized on Geographical Information System (GIS) platform and developed filaria monitoring visualization system (FMVS) for identifying the endemic/risk areas of filariasis among these four districts. GIS map for filariasis transmission from the study areas was created and stratified into different spatial entities like low, medium, and high risk zones. On the basis of the data and FMVS maps, it was demonstrated that filariasis remained unevenly distributed within the districts. Balancing the intervention coverage in different villages with overall mass drug administration and continued promotion of the proper use of control measures are necessary for further reduction of filarial cases in these districts.</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">22256792</PMID>
<DateCreated><Year>2012</Year>
<Month>05</Month>
<Day>14</Day>
</DateCreated>
<DateCompleted><Year>2012</Year>
<Month>09</Month>
<Day>17</Day>
</DateCompleted>
<DateRevised><Year>2012</Year>
<Month>05</Month>
<Day>14</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1557-7759</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>12</Volume>
<Issue>5</Issue>
<PubDate><Year>2012</Year>
<Month>May</Month>
</PubDate>
</JournalIssue>
<Title>Vector borne and zoonotic diseases (Larchmont, N.Y.)</Title>
<ISOAbbreviation>Vector Borne Zoonotic Dis.</ISOAbbreviation>
</Journal>
<ArticleTitle>Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India.</ArticleTitle>
<Pagination><MedlinePgn>418-27</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.1089/vbz.2011.0713</ELocationID>
<Abstract><AbstractText>Among various public health diseases, filariasis constitutes a major public health problem in India, wherein an estimated 553.7 million people are at risk of infection. The aim of this article is to present a spatial mapping and analysis of filariasis data over a 3-year period (2004-2007) from Karimnagar, Chittoor, East and West Godavari districts of Andhra Pradesh, India. The data include epidemiological and entomological studies (i.e., infection rate, infectivity rate, mosquito per man hour, and microfilaria rate). These parameters were customized on Geographical Information System (GIS) platform and developed filaria monitoring visualization system (FMVS) for identifying the endemic/risk areas of filariasis among these four districts. GIS map for filariasis transmission from the study areas was created and stratified into different spatial entities like low, medium, and high risk zones. On the basis of the data and FMVS maps, it was demonstrated that filariasis remained unevenly distributed within the districts. Balancing the intervention coverage in different villages with overall mass drug administration and continued promotion of the proper use of control measures are necessary for further reduction of filarial cases in these districts.</AbstractText>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Upadhyayula</LastName>
<ForeName>Suryanaryana Murty</ForeName>
<Initials>SM</Initials>
<AffiliationInfo><Affiliation>Bioinformatics Group, Biology Division, Indian Institute of Chemical Technology-CSIR, Hyderabad, Andhra Pradesh, India. murty_usn@yahoo.com</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mutheneni</LastName>
<ForeName>Srinivasa Rao</ForeName>
<Initials>SR</Initials>
</Author>
<Author ValidYN="Y"><LastName>Kumaraswamy</LastName>
<ForeName>Sriram</ForeName>
<Initials>S</Initials>
</Author>
<Author ValidYN="Y"><LastName>Kadiri</LastName>
<ForeName>Madhusudhan Rao</ForeName>
<Initials>MR</Initials>
</Author>
<Author ValidYN="Y"><LastName>Pabbisetty</LastName>
<ForeName>Sampath Kumar</ForeName>
<Initials>SK</Initials>
</Author>
<Author ValidYN="Y"><LastName>Yellepeddi</LastName>
<ForeName>Venkata Suryanarayana Murthy</ForeName>
<Initials>VS</Initials>
</Author>
</AuthorList>
<Language>eng</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2012</Year>
<Month>01</Month>
<Day>18</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Vector Borne Zoonotic Dis</MedlineTA>
<NlmUniqueID>100965525</NlmUniqueID>
<ISSNLinking>1530-3667</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D004605" MajorTopicYN="N">Elephantiasis, Filarial</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="N">blood</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="Y">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D040362" MajorTopicYN="Y">Geographic Information Systems</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007194" MajorTopicYN="N" Type="Geographic">India</DescriptorName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016017" MajorTopicYN="N">Odds Ratio</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015995" MajorTopicYN="N">Prevalence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012307" MajorTopicYN="N">Risk Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012984" MajorTopicYN="N">Software</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014584" MajorTopicYN="N">User-Computer Interface</DescriptorName>
</MeshHeading>
</MeshHeadingList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="entrez"><Year>2012</Year>
<Month>1</Month>
<Day>20</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2012</Year>
<Month>1</Month>
<Day>20</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2012</Year>
<Month>9</Month>
<Day>18</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">22256792</ArticleId>
<ArticleId IdType="doi">10.1089/vbz.2011.0713</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Sante/explor/LymphedemaV1/Data/PubMed/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 002310 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd -nk 002310 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Sante |area= LymphedemaV1 |flux= PubMed |étape= Curation |type= RBID |clé= pubmed:22256792 |texte= Filaria monitoring visualization system: a geographical information system-based application to manage lymphatic filariasis in Andhra Pradesh, India. }}
Pour générer des pages wiki
HfdIndexSelect -h $EXPLOR_AREA/Data/PubMed/Curation/RBID.i -Sk "pubmed:22256792" \ | HfdSelect -Kh $EXPLOR_AREA/Data/PubMed/Curation/biblio.hfd \ | NlmPubMed2Wicri -a LymphedemaV1
![]() | This area was generated with Dilib version V0.6.31. | ![]() |