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    <titleInfo>
      <title>Negative density-dependent dispersal in tsetse flies : a risk for control campaigns ?</title>
    </titleInfo>
    <name type="personnal">
      <namePart type="family">De Meeûs</namePart>
      <namePart type="given">Thierry</namePart>
      <role>
        <roleTerm type="text">auteur</roleTerm>
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    <name type="personnal">
      <namePart type="family">Ravel</namePart>
      <namePart type="given">Sophie</namePart>
      <role>
        <roleTerm type="text">auteur</roleTerm>
        <roleTerm type="code" authority="marcrelator">aut</roleTerm>
      </role>
      <affiliation>IRD</affiliation>
    </name>
    <name type="personnal">
      <namePart type="family">Solano</namePart>
      <namePart type="given">Philippe</namePart>
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        <roleTerm type="text">auteur</roleTerm>
        <roleTerm type="code" authority="marcrelator">aut</roleTerm>
      </role>
      <affiliation>IRD</affiliation>
    </name>
    <name type="personnal">
      <namePart type="family">Bouyer</namePart>
      <namePart type="given">J.</namePart>
      <role>
        <roleTerm type="text">auteur</roleTerm>
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    <abstract>Tsetse flies are vectors of parasites that cause diseases responsible for significant economic losses and health issues in sub-Saharan Africa, including sleeping sickness in humans and nagana in domestic animals. Efficient vector-control campaigns require good knowledge of the demographic parameters of the targeted populations. In the last decade, population genetics emerged as a convenient way to measure population densities and dispersal in tsetse flies. Here, by revealing a strong negative density-dependent dispersal in two dimensions, we suggest that control campaigns might unleash dispersal from untreated areas. If confirmed by direct measurement of dispersal before and after control campaigns, area-wide and/or sequential treatments of neighboring sites will be necessary to prevent this issue.</abstract>
    <targetAudience authority="marctarget">specialized</targetAudience>
    <subject authority="local">
      <geographic>BURKINA FASO</geographic>
      <geographic>CAMEROUN</geographic>
      <geographic>GHANA</geographic>
      <geographic>OUGANDA</geographic>
      <geographic>TANZANIE</geographic>
      <geographic>KENYA</geographic>
      <geographic>AFRIQUE SUBSAHARIENNE</geographic>
    </subject>
    <classification authority="local">052</classification>
    <classification authority="local">080</classification>
    <relatedItem type="host">
      <titleInfo>
        <title>Trends in Parasitology</title>
      </titleInfo>
      <part>
        <detail type="volume">
          <number>35</number>
        </detail>
        <detail type="volume">
          <number>8</number>
        </detail>
        <extent unit="pages">
          <list> 615-621</list>
        </extent>
      </part>
      <originInfo>
        <dateIssued>2019</dateIssued>
      </originInfo>
      <identifier type="issn">1471-4922</identifier>
    </relatedItem>
    <identifier type="uri">https://www.documentation.ird.fr/hor/fdi:010076518</identifier>
    <identifier type="doi">10.1016/j.pt.2019.05.007</identifier>
    <identifier type="issn">1471-4922</identifier>
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      <url usage="primary display" access="object in context">https://www.documentation.ird.fr/hor/fdi:010076518</url>
      <url access="row object">https://www.documentation.ird.fr/intranet/publi/2019/08/010076518.pdf</url>
    </location>
    <accessCondition type="restriction access" displayLabel="Accès réservé">Accès réservé (Intranet de l'IRD)</accessCondition>
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      <recordContentSource>IRD - Base Horizon / Pleins textes</recordContentSource>
      <recordCreationDate encoding="w3cdtf">2019-09-19</recordCreationDate>
      <recordChangeDate encoding="w3cdtf">2025-02-24</recordChangeDate>
      <recordIdentifier>fdi:010076518</recordIdentifier>
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        <languageTerm authority="iso639-2b">fre</languageTerm>
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