Seroprevalence of Rift Valley fever virus in cattle in the Democratic Republic of the Congo View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-03

AUTHORS

Georges Mbuyi Tshilenge, William G. Dundon, Marco De Nardi, Leopold K. Mulumba Mfumu, Mark Rweyemamu, Jean-Marie Kayembe-Ntumba, Justin Masumu

ABSTRACT

This study aimed at assessing the serological and virological status of Rift Valley fever virus (RVFV) in cattle from four climatically diverse zones of the Democratic Republic of the Congo (DRC). A total of 1675 sera samples collected between 2014 and 2015 from cattle without clinical manifestation of RVF infection were tested using competitive and capture enzyme ELISA to detect both IgG and IgM. RT-PCR was used for the detection of nucleic acid of RVFV. Out of the 1675 cattle sera tested, 203 were found to be IgG-positive, giving an overall true seroprevalence of 12.37% (95% CI 10.86-14.05). This seroprevalence varied between the four zones with a seroprevalence of 16.16% (95% CI 12.86-20.12), 14.70% (95% CI 11.72-18.29), 10.82% (95% CI 7.19-14.19), and 7.34% (95% CI 5.13-10.41) recorded in cattle sampled in the mountainous, humid savannah, dry savannah, and forest zones, respectively (p < 0.05, χ2 = 17.26). A higher true seroprevalence of 14.58% (95% CI 9.3-22.13) was found in animals aged 1 year compared to 10.43% (95% CI 8.12-13.30) and 13.16% (95% CI 11.19-15.42) in groups aged between 2-3 and > 3 years, respectively, although the difference was not statistically significant (p > 0.05, χ2 = 2.95). Similarly, no statistically significant difference (p > 0.05, χ2 = 0.04) was found between the sexes of the animals. Among the IgG-positive samples screened for anti-RVFV IgM, only 1.47% (3/203) was IgM-positive. One of the IgM-positive samples was positive by RT-PCR. These findings reveal country-wide distribution of RVF in the DRC for the first time. More... »

PAGES

537-543

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/s11250-018-1721-5

DOI

http://dx.doi.org/10.1007/s11250-018-1721-5

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1107768064

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/30350160


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/2008/1108", 
        "inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/", 
        "name": "Medical Microbiology", 
        "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"
      }
    ], 
    "author": [
      {
        "affiliation": {
          "alternateName": "University of Kinshasa", 
          "id": "https://www.grid.ac/institutes/grid.9783.5", 
          "name": [
            "Faculty of Veterinary Medicine, University of Kinshasa, University Street, P.O. Box 117, Kinshasa XI, Democratic Republic of the Congo", 
            "Central Veterinary Laboratory, Wangata Street, Gombe, P.O. Box 8842, Kinshasa, Democratic Republic of the Congo"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Tshilenge", 
        "givenName": "Georges Mbuyi", 
        "id": "sg:person.013053030173.15", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013053030173.15"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "International Atomic Energy Agency", 
          "id": "https://www.grid.ac/institutes/grid.420221.7", 
          "name": [
            "Animal Production and Health Laboratory, Joint FAO/AIEA, Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Application, International Atomic Energy Agency, Wagramer Strasse 5, P.O. Box 100, 1400, Vienna, Austria"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Dundon", 
        "givenName": "William G.", 
        "id": "sg:person.01162772722.14", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162772722.14"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Safoso (Switzerland)", 
          "id": "https://www.grid.ac/institutes/grid.437658.b", 
          "name": [
            "SAFOSO, Waldeggstrasse 1, 3097, Liebefeld, Switzerland"
          ], 
          "type": "Organization"
        }, 
        "familyName": "De Nardi", 
        "givenName": "Marco", 
        "id": "sg:person.01246707520.03", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246707520.03"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Kinshasa", 
          "id": "https://www.grid.ac/institutes/grid.9783.5", 
          "name": [
            "Faculty of Veterinary Medicine, University of Kinshasa, University Street, P.O. Box 117, Kinshasa XI, Democratic Republic of the Congo"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Mulumba Mfumu", 
        "givenName": "Leopold K.", 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "Sokoine University of Agriculture", 
          "id": "https://www.grid.ac/institutes/grid.11887.37", 
          "name": [
            "Southern African Centre for Infectious Disease Surveillance, Soko\u00efne University of Agriculture, Chuo Kikuu, P.O. Box 3297, Morogoro, Tanzania"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Rweyemamu", 
        "givenName": "Mark", 
        "id": "sg:person.01306635216.13", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306635216.13"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "University of Kinshasa", 
          "id": "https://www.grid.ac/institutes/grid.9783.5", 
          "name": [
            "Faculty of Medicine, University of Kinshasa, University Street, P.O. Box 117, Kinshasa XI, Democratic Republic of the Congo"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Kayembe-Ntumba", 
        "givenName": "Jean-Marie", 
        "id": "sg:person.014363347742.50", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014363347742.50"
        ], 
        "type": "Person"
      }, 
      {
        "affiliation": {
          "alternateName": "National Institute of Biomedical Research", 
          "id": "https://www.grid.ac/institutes/grid.452637.1", 
          "name": [
            "Central Veterinary Laboratory, Wangata Street, Gombe, P.O. Box 8842, Kinshasa, Democratic Republic of the Congo", 
            "Faculty of Veterinary Medicine, National Pedagogic University, Matadi/Liberation Street, Ngaliema, P.O. Box 8815, Kinshasa, Democratic Republic of the Congo", 
            "National Institute for Biomedical Research, 5345 Huilerie Street, Gombe, Kinshasa, Democratic Republic of the Congo"
          ], 
          "type": "Organization"
        }, 
        "familyName": "Masumu", 
        "givenName": "Justin", 
        "id": "sg:person.0617341604.77", 
        "sameAs": [
          "https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617341604.77"
        ], 
        "type": "Person"
      }
    ], 
    "citation": [
      {
        "id": "https://doi.org/10.3402/iee.v5.28024", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1005894796"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid1204.051428", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1006738334"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0002356", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007653710"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2010.83s2a02", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1007840669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid1907.130332", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015038517"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2010.09-0292", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1015120097"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1146/annurev-ento-010715-023819", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1018761669"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/vetres/2010033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022739984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1051/vetres/2010033", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1022739984"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2010.09-0319", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1023052951"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0002065", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1025844395"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4269/ajtmh.2010.09-0293", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1027731964"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.jviromet.2012.09.016", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1029985573"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1128/jvi.00335-11", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1030194257"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4081/gh.2007.250", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1036918272"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1111/tbed.12197", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1037611300"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-0934(03)00228-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040085770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0166-0934(03)00228-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1040085770"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0923-2516(91)90029-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043852125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/0923-2516(91)90029-3", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043852125"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid1408.080082", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1043860972"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3201/eid1806.111165", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044374131"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.3390/v3050493", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1044646736"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.smallrumres.2013.05.008", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1045256325"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/s0924-8579(02)00295-9", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1047388944"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1073/pnas.0806490106", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049264419"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pone.0131873", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1049800227"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1371/journal.pntd.0000763", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1050746170"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1017/s0950268816003022", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1053756380"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1089/vbz.2009.0249", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1059324911"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.23.2.1505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.23.2.1505", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792069"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.27.2.1802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.27.2.1802", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792366"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.33.3.2328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.20506/rst.33.3.2328", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1068792932"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://app.dimensions.ai/details/publication/pub.1081806178", 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.4102/jsava.v88i0.1379", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1083728952"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1016/j.actatropica.2017.04.001", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1084863696"
        ], 
        "type": "CreativeWork"
      }, 
      {
        "id": "https://doi.org/10.1099/jgv.0.000765", 
        "sameAs": [
          "https://app.dimensions.ai/details/publication/pub.1085764308"
        ], 
        "type": "CreativeWork"
      }
    ], 
    "datePublished": "2019-03", 
    "datePublishedReg": "2019-03-01", 
    "description": "This study aimed at assessing the serological and virological status of Rift Valley fever virus (RVFV) in cattle from four climatically diverse zones of the Democratic Republic of the Congo (DRC). A total of 1675 sera samples collected between 2014 and 2015 from cattle without clinical manifestation of RVF infection were tested using competitive and capture enzyme ELISA to detect both IgG and IgM. RT-PCR was used for the detection of nucleic acid of RVFV. Out of the 1675 cattle sera tested, 203 were found to be IgG-positive, giving an overall true seroprevalence of 12.37% (95% CI 10.86-14.05). This seroprevalence varied between the four zones with a seroprevalence of 16.16% (95% CI 12.86-20.12), 14.70% (95% CI 11.72-18.29), 10.82% (95% CI 7.19-14.19), and 7.34% (95% CI 5.13-10.41) recorded in cattle sampled in the mountainous, humid savannah, dry savannah, and forest zones, respectively (p\u2009<\u20090.05, \u03c72\u2009=\u200917.26). A higher true seroprevalence of 14.58% (95% CI 9.3-22.13) was found in animals aged 1\u00a0year compared to 10.43% (95% CI 8.12-13.30) and 13.16% (95% CI 11.19-15.42) in groups aged between 2-3 and >\u20093\u00a0years, respectively, although the difference was not statistically significant (p\u2009>\u20090.05, \u03c72\u2009=\u20092.95). Similarly, no statistically significant difference (p\u2009>\u20090.05, \u03c72\u2009=\u20090.04) was found between the sexes of the animals. Among the IgG-positive samples screened for anti-RVFV IgM, only 1.47% (3/203) was IgM-positive. One of the IgM-positive samples was positive by RT-PCR. These findings reveal country-wide distribution of RVF in the DRC for the first time.", 
    "genre": "research_article", 
    "id": "sg:pub.10.1007/s11250-018-1721-5", 
    "inLanguage": [
      "en"
    ], 
    "isAccessibleForFree": false, 
    "isPartOf": [
      {
        "id": "sg:journal.1055206", 
        "issn": [
          "0049-4747", 
          "1573-7438"
        ], 
        "name": "Tropical Animal Health and Production", 
        "type": "Periodical"
      }, 
      {
        "issueNumber": "3", 
        "type": "PublicationIssue"
      }, 
      {
        "type": "PublicationVolume", 
        "volumeNumber": "51"
      }
    ], 
    "name": "Seroprevalence of Rift Valley fever virus in cattle in the Democratic Republic of the Congo", 
    "pagination": "537-543", 
    "productId": [
      {
        "name": "readcube_id", 
        "type": "PropertyValue", 
        "value": [
          "a2f9ddd2ece91e244e8df7e048d61ddb8b7882fa6f5edbf529370bc156ce1912"
        ]
      }, 
      {
        "name": "pubmed_id", 
        "type": "PropertyValue", 
        "value": [
          "30350160"
        ]
      }, 
      {
        "name": "nlm_unique_id", 
        "type": "PropertyValue", 
        "value": [
          "1277355"
        ]
      }, 
      {
        "name": "doi", 
        "type": "PropertyValue", 
        "value": [
          "10.1007/s11250-018-1721-5"
        ]
      }, 
      {
        "name": "dimensions_id", 
        "type": "PropertyValue", 
        "value": [
          "pub.1107768064"
        ]
      }
    ], 
    "sameAs": [
      "https://doi.org/10.1007/s11250-018-1721-5", 
      "https://app.dimensions.ai/details/publication/pub.1107768064"
    ], 
    "sdDataset": "articles", 
    "sdDatePublished": "2019-04-11T11:10", 
    "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/v90/0000000353_0000000353/records_45348_00000002.jsonl", 
    "type": "ScholarlyArticle", 
    "url": "https://link.springer.com/10.1007%2Fs11250-018-1721-5"
  }
]
 

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.10.1007/s11250-018-1721-5'

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

curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1007/s11250-018-1721-5'

Turtle is a human-readable linked data format.

curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1007/s11250-018-1721-5'

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

curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1007/s11250-018-1721-5'


 

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

227 TRIPLES      21 PREDICATES      63 URIs      21 LITERALS      9 BLANK NODES

Subject Predicate Object
1 sg:pub.10.1007/s11250-018-1721-5 schema:about anzsrc-for:11
2 anzsrc-for:1108
3 schema:author Nf677f04528a24a3a966e294797a8cbd4
4 schema:citation https://app.dimensions.ai/details/publication/pub.1081806178
5 https://doi.org/10.1016/0923-2516(91)90029-3
6 https://doi.org/10.1016/j.actatropica.2017.04.001
7 https://doi.org/10.1016/j.jviromet.2012.09.016
8 https://doi.org/10.1016/j.smallrumres.2013.05.008
9 https://doi.org/10.1016/s0166-0934(03)00228-3
10 https://doi.org/10.1016/s0924-8579(02)00295-9
11 https://doi.org/10.1017/s0950268816003022
12 https://doi.org/10.1051/vetres/2010033
13 https://doi.org/10.1073/pnas.0806490106
14 https://doi.org/10.1089/vbz.2009.0249
15 https://doi.org/10.1099/jgv.0.000765
16 https://doi.org/10.1111/tbed.12197
17 https://doi.org/10.1128/jvi.00335-11
18 https://doi.org/10.1146/annurev-ento-010715-023819
19 https://doi.org/10.1371/journal.pntd.0000763
20 https://doi.org/10.1371/journal.pntd.0002065
21 https://doi.org/10.1371/journal.pntd.0002356
22 https://doi.org/10.1371/journal.pone.0131873
23 https://doi.org/10.20506/rst.23.2.1505
24 https://doi.org/10.20506/rst.27.2.1802
25 https://doi.org/10.20506/rst.33.3.2328
26 https://doi.org/10.3201/eid1204.051428
27 https://doi.org/10.3201/eid1408.080082
28 https://doi.org/10.3201/eid1806.111165
29 https://doi.org/10.3201/eid1907.130332
30 https://doi.org/10.3390/v3050493
31 https://doi.org/10.3402/iee.v5.28024
32 https://doi.org/10.4081/gh.2007.250
33 https://doi.org/10.4102/jsava.v88i0.1379
34 https://doi.org/10.4269/ajtmh.2010.09-0292
35 https://doi.org/10.4269/ajtmh.2010.09-0293
36 https://doi.org/10.4269/ajtmh.2010.09-0319
37 https://doi.org/10.4269/ajtmh.2010.83s2a02
38 schema:datePublished 2019-03
39 schema:datePublishedReg 2019-03-01
40 schema:description This study aimed at assessing the serological and virological status of Rift Valley fever virus (RVFV) in cattle from four climatically diverse zones of the Democratic Republic of the Congo (DRC). A total of 1675 sera samples collected between 2014 and 2015 from cattle without clinical manifestation of RVF infection were tested using competitive and capture enzyme ELISA to detect both IgG and IgM. RT-PCR was used for the detection of nucleic acid of RVFV. Out of the 1675 cattle sera tested, 203 were found to be IgG-positive, giving an overall true seroprevalence of 12.37% (95% CI 10.86-14.05). This seroprevalence varied between the four zones with a seroprevalence of 16.16% (95% CI 12.86-20.12), 14.70% (95% CI 11.72-18.29), 10.82% (95% CI 7.19-14.19), and 7.34% (95% CI 5.13-10.41) recorded in cattle sampled in the mountainous, humid savannah, dry savannah, and forest zones, respectively (p &lt; 0.05, χ<sup>2</sup> = 17.26). A higher true seroprevalence of 14.58% (95% CI 9.3-22.13) was found in animals aged 1 year compared to 10.43% (95% CI 8.12-13.30) and 13.16% (95% CI 11.19-15.42) in groups aged between 2-3 and &gt; 3 years, respectively, although the difference was not statistically significant (p &gt; 0.05, χ<sup>2</sup> = 2.95). Similarly, no statistically significant difference (p &gt; 0.05, χ<sup>2</sup> = 0.04) was found between the sexes of the animals. Among the IgG-positive samples screened for anti-RVFV IgM, only 1.47% (3/203) was IgM-positive. One of the IgM-positive samples was positive by RT-PCR. These findings reveal country-wide distribution of RVF in the DRC for the first time.
41 schema:genre research_article
42 schema:inLanguage en
43 schema:isAccessibleForFree false
44 schema:isPartOf N003957fc7c0d45ae99ac104c3e29f252
45 Nf8710774b0bf47f69a9eb690aeee82a0
46 sg:journal.1055206
47 schema:name Seroprevalence of Rift Valley fever virus in cattle in the Democratic Republic of the Congo
48 schema:pagination 537-543
49 schema:productId N178e6d8aab0b41d48289998600ef5649
50 N40be338341ce43c1951ebad410634798
51 N5483d8708732456ea13e03555256d983
52 N57821866ae244d6d9782b6ecb6c86acb
53 N63ef509c8d5d453ebb511fcf9870e92a
54 schema:sameAs https://app.dimensions.ai/details/publication/pub.1107768064
55 https://doi.org/10.1007/s11250-018-1721-5
56 schema:sdDatePublished 2019-04-11T11:10
57 schema:sdLicense https://scigraph.springernature.com/explorer/license/
58 schema:sdPublisher Nd2164814d5524a11947f7860c289a194
59 schema:url https://link.springer.com/10.1007%2Fs11250-018-1721-5
60 sgo:license sg:explorer/license/
61 sgo:sdDataset articles
62 rdf:type schema:ScholarlyArticle
63 N003957fc7c0d45ae99ac104c3e29f252 schema:volumeNumber 51
64 rdf:type schema:PublicationVolume
65 N178e6d8aab0b41d48289998600ef5649 schema:name doi
66 schema:value 10.1007/s11250-018-1721-5
67 rdf:type schema:PropertyValue
68 N40be338341ce43c1951ebad410634798 schema:name pubmed_id
69 schema:value 30350160
70 rdf:type schema:PropertyValue
71 N5483d8708732456ea13e03555256d983 schema:name readcube_id
72 schema:value a2f9ddd2ece91e244e8df7e048d61ddb8b7882fa6f5edbf529370bc156ce1912
73 rdf:type schema:PropertyValue
74 N57821866ae244d6d9782b6ecb6c86acb schema:name nlm_unique_id
75 schema:value 1277355
76 rdf:type schema:PropertyValue
77 N63ef509c8d5d453ebb511fcf9870e92a schema:name dimensions_id
78 schema:value pub.1107768064
79 rdf:type schema:PropertyValue
80 N76afcce42bad4f67b1481e3d4d6f3605 rdf:first Neb3f67729ba24c3bbdd29a49898e36ab
81 rdf:rest N8589e81772f84fe698ba317f565c4f60
82 N821b7a62de5c408f9bbc87077f62d9a2 rdf:first sg:person.01162772722.14
83 rdf:rest Nbe77ca7417ad4c0ba3beeac46532e10b
84 N8589e81772f84fe698ba317f565c4f60 rdf:first sg:person.01306635216.13
85 rdf:rest Ncd72c53bdcd546c28eef4fe3f6e01bf2
86 Nbe77ca7417ad4c0ba3beeac46532e10b rdf:first sg:person.01246707520.03
87 rdf:rest N76afcce42bad4f67b1481e3d4d6f3605
88 Ncd72c53bdcd546c28eef4fe3f6e01bf2 rdf:first sg:person.014363347742.50
89 rdf:rest Nd3eb3c7185f9429a9ac20db7c3930f2a
90 Nd2164814d5524a11947f7860c289a194 schema:name Springer Nature - SN SciGraph project
91 rdf:type schema:Organization
92 Nd3eb3c7185f9429a9ac20db7c3930f2a rdf:first sg:person.0617341604.77
93 rdf:rest rdf:nil
94 Neb3f67729ba24c3bbdd29a49898e36ab schema:affiliation https://www.grid.ac/institutes/grid.9783.5
95 schema:familyName Mulumba Mfumu
96 schema:givenName Leopold K.
97 rdf:type schema:Person
98 Nf677f04528a24a3a966e294797a8cbd4 rdf:first sg:person.013053030173.15
99 rdf:rest N821b7a62de5c408f9bbc87077f62d9a2
100 Nf8710774b0bf47f69a9eb690aeee82a0 schema:issueNumber 3
101 rdf:type schema:PublicationIssue
102 anzsrc-for:11 schema:inDefinedTermSet anzsrc-for:
103 schema:name Medical and Health Sciences
104 rdf:type schema:DefinedTerm
105 anzsrc-for:1108 schema:inDefinedTermSet anzsrc-for:
106 schema:name Medical Microbiology
107 rdf:type schema:DefinedTerm
108 sg:journal.1055206 schema:issn 0049-4747
109 1573-7438
110 schema:name Tropical Animal Health and Production
111 rdf:type schema:Periodical
112 sg:person.01162772722.14 schema:affiliation https://www.grid.ac/institutes/grid.420221.7
113 schema:familyName Dundon
114 schema:givenName William G.
115 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01162772722.14
116 rdf:type schema:Person
117 sg:person.01246707520.03 schema:affiliation https://www.grid.ac/institutes/grid.437658.b
118 schema:familyName De Nardi
119 schema:givenName Marco
120 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01246707520.03
121 rdf:type schema:Person
122 sg:person.013053030173.15 schema:affiliation https://www.grid.ac/institutes/grid.9783.5
123 schema:familyName Tshilenge
124 schema:givenName Georges Mbuyi
125 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.013053030173.15
126 rdf:type schema:Person
127 sg:person.01306635216.13 schema:affiliation https://www.grid.ac/institutes/grid.11887.37
128 schema:familyName Rweyemamu
129 schema:givenName Mark
130 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01306635216.13
131 rdf:type schema:Person
132 sg:person.014363347742.50 schema:affiliation https://www.grid.ac/institutes/grid.9783.5
133 schema:familyName Kayembe-Ntumba
134 schema:givenName Jean-Marie
135 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014363347742.50
136 rdf:type schema:Person
137 sg:person.0617341604.77 schema:affiliation https://www.grid.ac/institutes/grid.452637.1
138 schema:familyName Masumu
139 schema:givenName Justin
140 schema:sameAs https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.0617341604.77
141 rdf:type schema:Person
142 https://app.dimensions.ai/details/publication/pub.1081806178 schema:CreativeWork
143 https://doi.org/10.1016/0923-2516(91)90029-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043852125
144 rdf:type schema:CreativeWork
145 https://doi.org/10.1016/j.actatropica.2017.04.001 schema:sameAs https://app.dimensions.ai/details/publication/pub.1084863696
146 rdf:type schema:CreativeWork
147 https://doi.org/10.1016/j.jviromet.2012.09.016 schema:sameAs https://app.dimensions.ai/details/publication/pub.1029985573
148 rdf:type schema:CreativeWork
149 https://doi.org/10.1016/j.smallrumres.2013.05.008 schema:sameAs https://app.dimensions.ai/details/publication/pub.1045256325
150 rdf:type schema:CreativeWork
151 https://doi.org/10.1016/s0166-0934(03)00228-3 schema:sameAs https://app.dimensions.ai/details/publication/pub.1040085770
152 rdf:type schema:CreativeWork
153 https://doi.org/10.1016/s0924-8579(02)00295-9 schema:sameAs https://app.dimensions.ai/details/publication/pub.1047388944
154 rdf:type schema:CreativeWork
155 https://doi.org/10.1017/s0950268816003022 schema:sameAs https://app.dimensions.ai/details/publication/pub.1053756380
156 rdf:type schema:CreativeWork
157 https://doi.org/10.1051/vetres/2010033 schema:sameAs https://app.dimensions.ai/details/publication/pub.1022739984
158 rdf:type schema:CreativeWork
159 https://doi.org/10.1073/pnas.0806490106 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049264419
160 rdf:type schema:CreativeWork
161 https://doi.org/10.1089/vbz.2009.0249 schema:sameAs https://app.dimensions.ai/details/publication/pub.1059324911
162 rdf:type schema:CreativeWork
163 https://doi.org/10.1099/jgv.0.000765 schema:sameAs https://app.dimensions.ai/details/publication/pub.1085764308
164 rdf:type schema:CreativeWork
165 https://doi.org/10.1111/tbed.12197 schema:sameAs https://app.dimensions.ai/details/publication/pub.1037611300
166 rdf:type schema:CreativeWork
167 https://doi.org/10.1128/jvi.00335-11 schema:sameAs https://app.dimensions.ai/details/publication/pub.1030194257
168 rdf:type schema:CreativeWork
169 https://doi.org/10.1146/annurev-ento-010715-023819 schema:sameAs https://app.dimensions.ai/details/publication/pub.1018761669
170 rdf:type schema:CreativeWork
171 https://doi.org/10.1371/journal.pntd.0000763 schema:sameAs https://app.dimensions.ai/details/publication/pub.1050746170
172 rdf:type schema:CreativeWork
173 https://doi.org/10.1371/journal.pntd.0002065 schema:sameAs https://app.dimensions.ai/details/publication/pub.1025844395
174 rdf:type schema:CreativeWork
175 https://doi.org/10.1371/journal.pntd.0002356 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007653710
176 rdf:type schema:CreativeWork
177 https://doi.org/10.1371/journal.pone.0131873 schema:sameAs https://app.dimensions.ai/details/publication/pub.1049800227
178 rdf:type schema:CreativeWork
179 https://doi.org/10.20506/rst.23.2.1505 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068792069
180 rdf:type schema:CreativeWork
181 https://doi.org/10.20506/rst.27.2.1802 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068792366
182 rdf:type schema:CreativeWork
183 https://doi.org/10.20506/rst.33.3.2328 schema:sameAs https://app.dimensions.ai/details/publication/pub.1068792932
184 rdf:type schema:CreativeWork
185 https://doi.org/10.3201/eid1204.051428 schema:sameAs https://app.dimensions.ai/details/publication/pub.1006738334
186 rdf:type schema:CreativeWork
187 https://doi.org/10.3201/eid1408.080082 schema:sameAs https://app.dimensions.ai/details/publication/pub.1043860972
188 rdf:type schema:CreativeWork
189 https://doi.org/10.3201/eid1806.111165 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044374131
190 rdf:type schema:CreativeWork
191 https://doi.org/10.3201/eid1907.130332 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015038517
192 rdf:type schema:CreativeWork
193 https://doi.org/10.3390/v3050493 schema:sameAs https://app.dimensions.ai/details/publication/pub.1044646736
194 rdf:type schema:CreativeWork
195 https://doi.org/10.3402/iee.v5.28024 schema:sameAs https://app.dimensions.ai/details/publication/pub.1005894796
196 rdf:type schema:CreativeWork
197 https://doi.org/10.4081/gh.2007.250 schema:sameAs https://app.dimensions.ai/details/publication/pub.1036918272
198 rdf:type schema:CreativeWork
199 https://doi.org/10.4102/jsava.v88i0.1379 schema:sameAs https://app.dimensions.ai/details/publication/pub.1083728952
200 rdf:type schema:CreativeWork
201 https://doi.org/10.4269/ajtmh.2010.09-0292 schema:sameAs https://app.dimensions.ai/details/publication/pub.1015120097
202 rdf:type schema:CreativeWork
203 https://doi.org/10.4269/ajtmh.2010.09-0293 schema:sameAs https://app.dimensions.ai/details/publication/pub.1027731964
204 rdf:type schema:CreativeWork
205 https://doi.org/10.4269/ajtmh.2010.09-0319 schema:sameAs https://app.dimensions.ai/details/publication/pub.1023052951
206 rdf:type schema:CreativeWork
207 https://doi.org/10.4269/ajtmh.2010.83s2a02 schema:sameAs https://app.dimensions.ai/details/publication/pub.1007840669
208 rdf:type schema:CreativeWork
209 https://www.grid.ac/institutes/grid.11887.37 schema:alternateName Sokoine University of Agriculture
210 schema:name Southern African Centre for Infectious Disease Surveillance, Sokoïne University of Agriculture, Chuo Kikuu, P.O. Box 3297, Morogoro, Tanzania
211 rdf:type schema:Organization
212 https://www.grid.ac/institutes/grid.420221.7 schema:alternateName International Atomic Energy Agency
213 schema:name Animal Production and Health Laboratory, Joint FAO/AIEA, Division of Nuclear Techniques in Food and Agriculture, Department of Nuclear Sciences and Application, International Atomic Energy Agency, Wagramer Strasse 5, P.O. Box 100, 1400, Vienna, Austria
214 rdf:type schema:Organization
215 https://www.grid.ac/institutes/grid.437658.b schema:alternateName Safoso (Switzerland)
216 schema:name SAFOSO, Waldeggstrasse 1, 3097, Liebefeld, Switzerland
217 rdf:type schema:Organization
218 https://www.grid.ac/institutes/grid.452637.1 schema:alternateName National Institute of Biomedical Research
219 schema:name Central Veterinary Laboratory, Wangata Street, Gombe, P.O. Box 8842, Kinshasa, Democratic Republic of the Congo
220 Faculty of Veterinary Medicine, National Pedagogic University, Matadi/Liberation Street, Ngaliema, P.O. Box 8815, Kinshasa, Democratic Republic of the Congo
221 National Institute for Biomedical Research, 5345 Huilerie Street, Gombe, Kinshasa, Democratic Republic of the Congo
222 rdf:type schema:Organization
223 https://www.grid.ac/institutes/grid.9783.5 schema:alternateName University of Kinshasa
224 schema:name Central Veterinary Laboratory, Wangata Street, Gombe, P.O. Box 8842, Kinshasa, Democratic Republic of the Congo
225 Faculty of Medicine, University of Kinshasa, University Street, P.O. Box 117, Kinshasa XI, Democratic Republic of the Congo
226 Faculty of Veterinary Medicine, University of Kinshasa, University Street, P.O. Box 117, Kinshasa XI, Democratic Republic of the Congo
227 rdf:type schema:Organization
 




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


...