Distinct variation in vector competence among nine field populations of Aedes aegypti from a Brazilian dengue-endemic risk city View Full Text


Ontology type: schema:ScholarlyArticle      Open Access: True


Article Info

DATE

2014-12

AUTHORS

Caroline M Gonçalves, Fabrício F Melo, Juliana MT Bezerra, Bárbara A Chaves, Breno M Silva, Luciana D Silva, José EM Pessanha, Jorge R Arias, Nágila FC Secundino, Douglas E Norris, Paulo FP Pimenta

ABSTRACT

BACKGROUND: In Brazil, dengue epidemics erupt sporadically throughout the country and it is unclear if outbreaks may initiate a sustainable transmission cycle. There are few studies evaluating the ability of Brazilian Aedes aegypti populations to transmit dengue virus (DENV). The aim of this study was to compare DENV susceptibility of field-captured Ae. aegypti populations from nine distinct geographic areas of the city of Belo Horizonte in 2009 and 2011. Infection Rate (IR), Vector Competence (VC) and Disseminated Infection Rate (DIR) were determined. METHODS: Aedes aegypti eggs from each region were collected and reared separately in an insectary. Adult females were experimentally infected with DENV-2 and the virus was detected by qPCR in body and head samples. Data were analyzed with the Statistical Package for the Social Sciences version 17. RESULTS: IR varied from 40.0% to 82.5% in 2009 and 60.0% to 100.0% in 2011. VC ranged from 25.0% to 77.5% in 2009 and 25.0% to 80.0% in 2011. DIR oscillated from 68.7% to 100.0% in 2009 and 38.4% to 86.8 in 2011. When the results were evaluated by a logistic model using IR as covariate, North, Barreiro, South-Central and Venda Nova showed the strongest association in 2009. In 2011, a similar association was observed for South-Central, Venda Nova, West and Northeast regions. Using VC as covariate, South-Central and Venda Nova showed the most relevant association in 2009. In 2011, South-Central, Venda Nova and Barreiro presented the greatest revelation associations. When DIR data were analyzed by logistic regression models, Pampulha, South-Central, Venda Nova, West, Northeast and East (2009) as well as South-Central, Venda Nova and West (2011) were the districts showing the strongest associations. CONCLUSIONS: We conclude that Ae. aegypti populations from Belo Horizonte exhibit wide variation in vector competence to transmit dengue. Therefore, vector control strategies should be adapted to the available data for each region. Further analysis should be conducted to better understand the reasons for this large variability in vector competence and how these parameters correlate with epidemiological findings in subsequent years. More... »

PAGES

320

References to SciGraph publications

Identifiers

URI

http://scigraph.springernature.com/pub.10.1186/1756-3305-7-320

DOI

http://dx.doi.org/10.1186/1756-3305-7-320

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1033140471

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/25015526


Indexing Status Check whether this publication has been indexed by Scopus and Web Of Science using the SN Indexing Status Tool
Incoming Citations Browse incoming citations for this publication using opencitations.net

JSON-LD is the canonical representation for SciGraph data.

TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT

[
  {
    "@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json", 
    "about": [
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1117", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Public Health and Health Services", 
        "type": "DefinedTerm"
      }, 
      {
        "id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical and Health Sciences", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Aedes", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Animals", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Brazil", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dengue", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Dengue Virus", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Endemic Diseases", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Female", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Head", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Insect Vectors", 
        "type": "DefinedTerm"
      }, 
      {
        "inDefinedTermSet": "https://www.nlm.nih.gov/mesh/", 
        "name": "Salivary Glands", 
        "type": "DefinedTerm"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "name": [
            "Laboratory of Medical Entomology, Ren\u00e9 Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Gon\u00e7alves", 
        "givenName": "Caroline M", 
        "id": "sg:person.0773161270.43", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773161270.43"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Medical Entomology, Ren\u00e9 Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Melo", 
        "givenName": "Fabr\u00edcio F", 
        "id": "sg:person.01132006325.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132006325.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Medical Entomology, Ren\u00e9 Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Bezerra", 
        "givenName": "Juliana MT", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Medical Entomology, Ren\u00e9 Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Chaves", 
        "givenName": "B\u00e1rbara A", 
        "id": "sg:person.01155523070.42", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155523070.42"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Ouro Preto", 
          "id": "https://www.grid.ac/institutes/grid.411213.4", 
          "name": [
            "Department of Biological Sciences, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silva", 
        "givenName": "Breno M", 
        "id": "sg:person.01335010137.47", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335010137.47"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Universidade Federal de Minas Gerais", 
          "id": "https://www.grid.ac/institutes/grid.8430.f", 
          "name": [
            "Department of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Silva", 
        "givenName": "Luciana D", 
        "id": "sg:person.012420041557.75", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420041557.75"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Municipal Health Secretariat of Belo Horizonte, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pessanha", 
        "givenName": "Jos\u00e9 EM", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Medical Entomologist, Retired Consultant, Manassas, Virginia, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Arias", 
        "givenName": "Jorge R", 
        "id": "sg:person.0677652622.69", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677652622.69"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Medical Entomology, Ren\u00e9 Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Secundino", 
        "givenName": "N\u00e1gila FC", 
        "id": "sg:person.014311376364.38", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014311376364.38"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Johns Hopkins University", 
          "id": "https://www.grid.ac/institutes/grid.21107.35", 
          "name": [
            "Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Norris", 
        "givenName": "Douglas E", 
        "id": "sg:person.01264261030.23", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264261030.23"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "name": [
            "Laboratory of Medical Entomology, Ren\u00e9 Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Pimenta", 
        "givenName": "Paulo FP", 
        "id": "sg:person.0754702364.63", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754702364.63"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "sg:pub.10.1038/nrmicro2460", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007647905", 
          "https://doi.org/10.1038/nrmicro2460"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0188-4409(02)00373-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1009841686"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1006/viro.1999.9633", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030151904"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1590/s1519-69842009000100015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1034566251"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "sg:pub.10.1186/1471-2180-8-118", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037927453", 
          "https://doi.org/10.1186/1471-2180-8-118"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ibmb.2004.03.024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040820142"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jcv.2009.02.010", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043114940"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2915.2007.00699.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048081260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/j.1365-2915.2007.00699.x", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048081260"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.ibmb.2005.02.015", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1048826584"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid1404.071185", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1052919227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1603/me13047", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068123517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.17525/vrr.v11i1-2.5", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068351345"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1074957620", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2002.67.85", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1075170573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2005.72.434", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1077037768"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1077346301", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.1987.36.143", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1079966055"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1082562632", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1093/oxfordjournals.aje.a118408", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083592874"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2014-12", 
    "datePublishedReg": "2014-12-01", 
    "description": "BACKGROUND: In Brazil, dengue epidemics erupt sporadically throughout the country and it is unclear if outbreaks may initiate a sustainable transmission cycle. There are few studies evaluating the ability of Brazilian Aedes aegypti populations to transmit dengue virus (DENV). The aim of this study was to compare DENV susceptibility of field-captured Ae. aegypti populations from nine distinct geographic areas of the city of Belo Horizonte in 2009 and 2011. Infection Rate (IR), Vector Competence (VC) and Disseminated Infection Rate (DIR) were determined.\nMETHODS: Aedes aegypti eggs from each region were collected and reared separately in an insectary. Adult females were experimentally infected with DENV-2 and the virus was detected by qPCR in body and head samples. Data were analyzed with the Statistical Package for the Social Sciences version 17.\nRESULTS: IR varied from 40.0% to 82.5% in 2009 and 60.0% to 100.0% in 2011. VC ranged from 25.0% to 77.5% in 2009 and 25.0% to 80.0% in 2011. DIR oscillated from 68.7% to 100.0% in 2009 and 38.4% to 86.8 in 2011. When the results were evaluated by a logistic model using IR as covariate, North, Barreiro, South-Central and Venda Nova showed the strongest association in 2009. In 2011, a similar association was observed for South-Central, Venda Nova, West and Northeast regions. Using VC as covariate, South-Central and Venda Nova showed the most relevant association in 2009. In 2011, South-Central, Venda Nova and Barreiro presented the greatest revelation associations. When DIR data were analyzed by logistic regression models, Pampulha, South-Central, Venda Nova, West, Northeast and East (2009) as well as South-Central, Venda Nova and West (2011) were the districts showing the strongest associations.\nCONCLUSIONS: We conclude that Ae. aegypti populations from Belo Horizonte exhibit wide variation in vector competence to transmit dengue. Therefore, vector control strategies should be adapted to the available data for each region. Further analysis should be conducted to better understand the reasons for this large variability in vector competence and how these parameters correlate with epidemiological findings in subsequent years.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1186/1756-3305-7-320", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": true, 
    "isFundedItemOf": [
      {
        "id": "sg:grant.6585909", 
        "type": "MonetaryGrant"
      }
    ], 
    "isPartOf": [
      {
        "id": "sg:journal.1039458", 
        "issn": [
          "1756-3305"
        ], 
        "name": "Filaria Journal", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "1", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "7"
      }
    ], 
    "name": "Distinct variation in vector competence among nine field populations of Aedes aegypti from a Brazilian dengue-endemic risk city", 
    "pagination": "320", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "9de057e16d22d5d06b5d9b2878713496f4f5e818f6187d9c3719f8810ab8bcd6"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "25015526"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "101462774"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1186/1756-3305-7-320"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1033140471"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1186/1756-3305-7-320", 
      "https://app.dimensions.ai/details/publication/pub.1033140471"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-10T15:01", 
    "sdLicense": "https://scigraph.springernature.com/explorer/license/", 
    "sdPublisher": {
      "name": "Springer Nature - SN SciGraph project", 
      "type": "Organization"
    }, 
    "sdSource": "s3://com-uberresearch-data-dimensions-target-20181106-alternative/cleanup/v134/2549eaecd7973599484d7c17b260dba0a4ecb94b/merge/v9/a6c9fde33151104705d4d7ff012ea9563521a3ce/jats-lookup/v90/0000000001_0000000264/records_8663_00000514.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "http://link.springer.com/10.1186%2F1756-3305-7-320"
  }
]
 

Download the RDF metadata as:  json-ld nt turtle xml License info

HOW TO GET THIS DATA PROGRAMMATICALLY:

JSON-LD is a popular format for linked data which is fully compatible with JSON.

curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/1756-3305-7-320'

N-Triples is a line-based linked data format ideal for batch operations.

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/1756-3305-7-320'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/1756-3305-7-320'

RDF/XML is a standard XML format for linked data.

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/1756-3305-7-320'


 

This table displays all metadata directly associated to this object as RDF triples.

256 TRIPLES      21 PREDICATES      58 URIs      31 LITERALS      19 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1186/1756-3305-7-320 schema:about N1080c7dab677455aa5e88e139cea6320
2 N1b76cecdf0fc4726addd539eae9cdb27
3 N211ca367bfc84757bd044c62438a3c38
4 N277769a8b78e4b9bb68e7f71cb856a13
5 N49036986fc9343ccb8f569268c6dacab
6 Nbf144accb8ba4a9fb8a6acf92b6eebd8
7 Nc367d281884240f6ae32dfbfd6d5d258
8 Nd0f79ce5ac90472cbdcffac908d545c0
9 Nd5a593f2059249629a3cec60754fbf77
10 Ne1488902c5f04a7bb33c117a6b635864
11 anzsrc-for:11
12 anzsrc-for:1117
13 schema:author N77ce12450d4143cebf09b5d5190d2877
14 schema:citation sg:pub.10.1038/nrmicro2460
15 sg:pub.10.1186/1471-2180-8-118
16 https://app.dimensions.ai/details/publication/pub.1074957620
17 https://app.dimensions.ai/details/publication/pub.1077346301
18 https://app.dimensions.ai/details/publication/pub.1082562632
19 https://doi.org/10.1006/viro.1999.9633
20 https://doi.org/10.1016/j.ibmb.2004.03.024
21 https://doi.org/10.1016/j.ibmb.2005.02.015
22 https://doi.org/10.1016/j.jcv.2009.02.010
23 https://doi.org/10.1016/s0188-4409(02)00373-9
24 https://doi.org/10.1093/oxfordjournals.aje.a118408
25 https://doi.org/10.1111/j.1365-2915.2007.00699.x
26 https://doi.org/10.1590/s1519-69842009000100015
27 https://doi.org/10.1603/me13047
28 https://doi.org/10.17525/vrr.v11i1-2.5
29 https://doi.org/10.3201/eid1404.071185
30 https://doi.org/10.4269/ajtmh.1987.36.143
31 https://doi.org/10.4269/ajtmh.2002.67.85
32 https://doi.org/10.4269/ajtmh.2005.72.434
33 schema:datePublished 2014-12
34 schema:datePublishedReg 2014-12-01
35 schema:description BACKGROUND: In Brazil, dengue epidemics erupt sporadically throughout the country and it is unclear if outbreaks may initiate a sustainable transmission cycle. There are few studies evaluating the ability of Brazilian Aedes aegypti populations to transmit dengue virus (DENV). The aim of this study was to compare DENV susceptibility of field-captured Ae. aegypti populations from nine distinct geographic areas of the city of Belo Horizonte in 2009 and 2011. Infection Rate (IR), Vector Competence (VC) and Disseminated Infection Rate (DIR) were determined. METHODS: Aedes aegypti eggs from each region were collected and reared separately in an insectary. Adult females were experimentally infected with DENV-2 and the virus was detected by qPCR in body and head samples. Data were analyzed with the Statistical Package for the Social Sciences version 17. RESULTS: IR varied from 40.0% to 82.5% in 2009 and 60.0% to 100.0% in 2011. VC ranged from 25.0% to 77.5% in 2009 and 25.0% to 80.0% in 2011. DIR oscillated from 68.7% to 100.0% in 2009 and 38.4% to 86.8 in 2011. When the results were evaluated by a logistic model using IR as covariate, North, Barreiro, South-Central and Venda Nova showed the strongest association in 2009. In 2011, a similar association was observed for South-Central, Venda Nova, West and Northeast regions. Using VC as covariate, South-Central and Venda Nova showed the most relevant association in 2009. In 2011, South-Central, Venda Nova and Barreiro presented the greatest revelation associations. When DIR data were analyzed by logistic regression models, Pampulha, South-Central, Venda Nova, West, Northeast and East (2009) as well as South-Central, Venda Nova and West (2011) were the districts showing the strongest associations. CONCLUSIONS: We conclude that Ae. aegypti populations from Belo Horizonte exhibit wide variation in vector competence to transmit dengue. Therefore, vector control strategies should be adapted to the available data for each region. Further analysis should be conducted to better understand the reasons for this large variability in vector competence and how these parameters correlate with epidemiological findings in subsequent years.
36 schema:genre research_article
37 schema:inLanguage en
38 schema:isAccessibleForFree true
39 schema:isPartOf N93a6092f831e41b1b24ee2da17a837d7
40 Neca336ad58a0481a93a1e01faaf006dd
41 sg:journal.1039458
42 schema:name Distinct variation in vector competence among nine field populations of Aedes aegypti from a Brazilian dengue-endemic risk city
43 schema:pagination 320
44 schema:productId N2128de234bc34484aab013154d1e068d
45 N694ce395efac4e2e8d2a9048e06a57d4
46 N7d14ffa458e940adb97579141a59d24f
47 N88d4c83744774fde80c5b67d7af38124
48 N8fd410c4070c42f194c7b3d18e82972d
49 schema:sameAs https://app.dimensions.ai/details/publication/pub.1033140471
50 https://doi.org/10.1186/1756-3305-7-320
51 schema:sdDatePublished 2019-04-10T15:01
52 schema:sdLicense https://scigraph.springernature.com/explorer/license/
53 schema:sdPublisher N35ef7d09e29a40e6b5084b1db96e0c51
54 schema:url http://link.springer.com/10.1186%2F1756-3305-7-320
55 sgo:license sg:explorer/license/
56 sgo:sdDataset articles
57 rdf:type schema:ScholarlyArticle
58 N04bc9f795259411bbe42bbc4ea4a2155 schema:name Medical Entomologist, Retired Consultant, Manassas, Virginia, USA
59 rdf:type schema:Organization
60 N08997c89566e428a9310ac9b25b5a0ab schema:name Laboratory of Medical Entomology, René Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
61 rdf:type schema:Organization
62 N1080c7dab677455aa5e88e139cea6320 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
63 schema:name Dengue Virus
64 rdf:type schema:DefinedTerm
65 N1b76cecdf0fc4726addd539eae9cdb27 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
66 schema:name Salivary Glands
67 rdf:type schema:DefinedTerm
68 N211ca367bfc84757bd044c62438a3c38 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
69 schema:name Brazil
70 rdf:type schema:DefinedTerm
71 N2128de234bc34484aab013154d1e068d schema:name doi
72 schema:value 10.1186/1756-3305-7-320
73 rdf:type schema:PropertyValue
74 N27773859b8534d8ca65757edc7164f3b schema:affiliation N39b4b90e2bb94cf9869a6b778f7660dd
75 schema:familyName Pessanha
76 schema:givenName José EM
77 rdf:type schema:Person
78 N277769a8b78e4b9bb68e7f71cb856a13 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
79 schema:name Dengue
80 rdf:type schema:DefinedTerm
81 N31997f6b3e8a4d35b1ef27df8cf20b65 schema:affiliation Nf6e8ebc06f064790ae71b1598b588e95
82 schema:familyName Bezerra
83 schema:givenName Juliana MT
84 rdf:type schema:Person
85 N352071d519a943669b7e581efcddd5f9 rdf:first sg:person.01335010137.47
86 rdf:rest Ne012ee447ef3451fa87efcf7c75332e3
87 N35ef7d09e29a40e6b5084b1db96e0c51 schema:name Springer Nature - SN SciGraph project
88 rdf:type schema:Organization
89 N39b4b90e2bb94cf9869a6b778f7660dd schema:name Municipal Health Secretariat of Belo Horizonte, Belo Horizonte, Minas Gerais, Brazil
90 rdf:type schema:Organization
91 N3f5ac1743a704d66a2eb8b37c3bcd7ad schema:name Laboratory of Medical Entomology, René Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
92 rdf:type schema:Organization
93 N49036986fc9343ccb8f569268c6dacab schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
94 schema:name Insect Vectors
95 rdf:type schema:DefinedTerm
96 N503e3642b6d1442cbf87a78c28417879 rdf:first sg:person.0677652622.69
97 rdf:rest Nf93e9f8be834407fa264fd4df32cc8e0
98 N6511fc66ebdf4e13a4614fa75b811d64 rdf:first sg:person.0754702364.63
99 rdf:rest rdf:nil
100 N6713bbb9a73a47aa815749ab4a014b1f rdf:first N27773859b8534d8ca65757edc7164f3b
101 rdf:rest N503e3642b6d1442cbf87a78c28417879
102 N694ce395efac4e2e8d2a9048e06a57d4 schema:name readcube_id
103 schema:value 9de057e16d22d5d06b5d9b2878713496f4f5e818f6187d9c3719f8810ab8bcd6
104 rdf:type schema:PropertyValue
105 N70b7a6496c1145e6b79e07b9c2bd9155 schema:name Laboratory of Medical Entomology, René Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
106 rdf:type schema:Organization
107 N70f77be2b7384312ba805cea04efaad1 rdf:first N31997f6b3e8a4d35b1ef27df8cf20b65
108 rdf:rest Nd85601ced3df48d08d1bf08dcf8ff466
109 N77ce12450d4143cebf09b5d5190d2877 rdf:first sg:person.0773161270.43
110 rdf:rest Ne54e8d5d70b4487e895fb91f935008c5
111 N7d14ffa458e940adb97579141a59d24f schema:name nlm_unique_id
112 schema:value 101462774
113 rdf:type schema:PropertyValue
114 N88d4c83744774fde80c5b67d7af38124 schema:name dimensions_id
115 schema:value pub.1033140471
116 rdf:type schema:PropertyValue
117 N8fd410c4070c42f194c7b3d18e82972d schema:name pubmed_id
118 schema:value 25015526
119 rdf:type schema:PropertyValue
120 N93103dd2427c43f6a617c133b3ce8800 schema:name Laboratory of Medical Entomology, René Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
121 rdf:type schema:Organization
122 N93a6092f831e41b1b24ee2da17a837d7 schema:volumeNumber 7
123 rdf:type schema:PublicationVolume
124 Nbf144accb8ba4a9fb8a6acf92b6eebd8 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
125 schema:name Endemic Diseases
126 rdf:type schema:DefinedTerm
127 Nc367d281884240f6ae32dfbfd6d5d258 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
128 schema:name Female
129 rdf:type schema:DefinedTerm
130 Nd0f79ce5ac90472cbdcffac908d545c0 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
131 schema:name Head
132 rdf:type schema:DefinedTerm
133 Nd5a593f2059249629a3cec60754fbf77 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
134 schema:name Aedes
135 rdf:type schema:DefinedTerm
136 Nd85601ced3df48d08d1bf08dcf8ff466 rdf:first sg:person.01155523070.42
137 rdf:rest N352071d519a943669b7e581efcddd5f9
138 Ne012ee447ef3451fa87efcf7c75332e3 rdf:first sg:person.012420041557.75
139 rdf:rest N6713bbb9a73a47aa815749ab4a014b1f
140 Ne1488902c5f04a7bb33c117a6b635864 schema:inDefinedTermSet https://www.nlm.nih.gov/mesh/
141 schema:name Animals
142 rdf:type schema:DefinedTerm
143 Ne300a4f1465948f8a3e7b30a9258e629 schema:name Laboratory of Medical Entomology, René Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
144 rdf:type schema:Organization
145 Ne54e8d5d70b4487e895fb91f935008c5 rdf:first sg:person.01132006325.15
146 rdf:rest N70f77be2b7384312ba805cea04efaad1
147 Neca336ad58a0481a93a1e01faaf006dd schema:issueNumber 1
148 rdf:type schema:PublicationIssue
149 Nf6e8ebc06f064790ae71b1598b588e95 schema:name Laboratory of Medical Entomology, René Rachou Research Centre- FIOCRUZ, Belo Horizonte, Minas Gerais, Brazil
150 rdf:type schema:Organization
151 Nf93e9f8be834407fa264fd4df32cc8e0 rdf:first sg:person.014311376364.38
152 rdf:rest Nfd9450b7680c4f3c88029551a91081a4
153 Nfd9450b7680c4f3c88029551a91081a4 rdf:first sg:person.01264261030.23
154 rdf:rest N6511fc66ebdf4e13a4614fa75b811d64
155 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
156 schema:name Medical and Health Sciences
157 rdf:type schema:DefinedTerm
158 anzsrc-for:1117 schema:inDefinedTermSet anzsrc-for:
159 schema:name Public Health and Health Services
160 rdf:type schema:DefinedTerm
161 sg:grant.6585909 http://pending.schema.org/fundedItem sg:pub.10.1186/1756-3305-7-320
162 rdf:type schema:MonetaryGrant
163 sg:journal.1039458 schema:issn 1756-3305
164 schema:name Filaria Journal
165 rdf:type schema:Periodical
166 sg:person.01132006325.15 schema:affiliation N93103dd2427c43f6a617c133b3ce8800
167 schema:familyName Melo
168 schema:givenName Fabrício F
169 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01132006325.15
170 rdf:type schema:Person
171 sg:person.01155523070.42 schema:affiliation N08997c89566e428a9310ac9b25b5a0ab
172 schema:familyName Chaves
173 schema:givenName Bárbara A
174 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01155523070.42
175 rdf:type schema:Person
176 sg:person.012420041557.75 schema:affiliation https://www.grid.ac/institutes/grid.8430.f
177 schema:familyName Silva
178 schema:givenName Luciana D
179 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012420041557.75
180 rdf:type schema:Person
181 sg:person.01264261030.23 schema:affiliation https://www.grid.ac/institutes/grid.21107.35
182 schema:familyName Norris
183 schema:givenName Douglas E
184 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01264261030.23
185 rdf:type schema:Person
186 sg:person.01335010137.47 schema:affiliation https://www.grid.ac/institutes/grid.411213.4
187 schema:familyName Silva
188 schema:givenName Breno M
189 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01335010137.47
190 rdf:type schema:Person
191 sg:person.014311376364.38 schema:affiliation Ne300a4f1465948f8a3e7b30a9258e629
192 schema:familyName Secundino
193 schema:givenName Nágila FC
194 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014311376364.38
195 rdf:type schema:Person
196 sg:person.0677652622.69 schema:affiliation N04bc9f795259411bbe42bbc4ea4a2155
197 schema:familyName Arias
198 schema:givenName Jorge R
199 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0677652622.69
200 rdf:type schema:Person
201 sg:person.0754702364.63 schema:affiliation N3f5ac1743a704d66a2eb8b37c3bcd7ad
202 schema:familyName Pimenta
203 schema:givenName Paulo FP
204 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0754702364.63
205 rdf:type schema:Person
206 sg:person.0773161270.43 schema:affiliation N70b7a6496c1145e6b79e07b9c2bd9155
207 schema:familyName Gonçalves
208 schema:givenName Caroline M
209 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0773161270.43
210 rdf:type schema:Person
211 sg:pub.10.1038/nrmicro2460 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007647905
212 https://doi.org/10.1038/nrmicro2460
213 rdf:type schema:CreativeWork
214 sg:pub.10.1186/1471-2180-8-118 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037927453
215 https://doi.org/10.1186/1471-2180-8-118
216 rdf:type schema:CreativeWork
217 https://app.dimensions.ai/details/publication/pub.1074957620 schema:CreativeWork
218 https://app.dimensions.ai/details/publication/pub.1077346301 schema:CreativeWork
219 https://app.dimensions.ai/details/publication/pub.1082562632 schema:CreativeWork
220 https://doi.org/10.1006/viro.1999.9633 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030151904
221 rdf:type schema:CreativeWork
222 https://doi.org/10.1016/j.ibmb.2004.03.024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040820142
223 rdf:type schema:CreativeWork
224 https://doi.org/10.1016/j.ibmb.2005.02.015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1048826584
225 rdf:type schema:CreativeWork
226 https://doi.org/10.1016/j.jcv.2009.02.010 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043114940
227 rdf:type schema:CreativeWork
228 https://doi.org/10.1016/s0188-4409(02)00373-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1009841686
229 rdf:type schema:CreativeWork
230 https://doi.org/10.1093/oxfordjournals.aje.a118408 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083592874
231 rdf:type schema:CreativeWork
232 https://doi.org/10.1111/j.1365-2915.2007.00699.x schema:sameAs https://app.dimensions.ai/details/publication/pub.1048081260
233 rdf:type schema:CreativeWork
234 https://doi.org/10.1590/s1519-69842009000100015 schema:sameAs https://app.dimensions.ai/details/publication/pub.1034566251
235 rdf:type schema:CreativeWork
236 https://doi.org/10.1603/me13047 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068123517
237 rdf:type schema:CreativeWork
238 https://doi.org/10.17525/vrr.v11i1-2.5 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068351345
239 rdf:type schema:CreativeWork
240 https://doi.org/10.3201/eid1404.071185 schema:sameAs https://app.dimensions.ai/details/publication/pub.1052919227
241 rdf:type schema:CreativeWork
242 https://doi.org/10.4269/ajtmh.1987.36.143 schema:sameAs https://app.dimensions.ai/details/publication/pub.1079966055
243 rdf:type schema:CreativeWork
244 https://doi.org/10.4269/ajtmh.2002.67.85 schema:sameAs https://app.dimensions.ai/details/publication/pub.1075170573
245 rdf:type schema:CreativeWork
246 https://doi.org/10.4269/ajtmh.2005.72.434 schema:sameAs https://app.dimensions.ai/details/publication/pub.1077037768
247 rdf:type schema:CreativeWork
248 https://www.grid.ac/institutes/grid.21107.35 schema:alternateName Johns Hopkins University
249 schema:name Department of Molecular Microbiology and Immunology, Johns Hopkins Malaria Research Institute, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, MD, USA
250 rdf:type schema:Organization
251 https://www.grid.ac/institutes/grid.411213.4 schema:alternateName Universidade Federal de Ouro Preto
252 schema:name Department of Biological Sciences, Federal University of Ouro Preto, Ouro Preto, Minas Gerais, Brazil
253 rdf:type schema:Organization
254 https://www.grid.ac/institutes/grid.8430.f schema:alternateName Universidade Federal de Minas Gerais
255 schema:name Department of Internal Medicine, Federal University of Minas Gerais, Belo Horizonte, Minas Gerais, Brazil
256 rdf:type schema:Organization
 




Preview window. Press ESC to close (or click here)


...