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<article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" article-type="research-article"><?properties open_access?><front><journal-meta><journal-id journal-id-type="nlm-ta">Parasit Vectors</journal-id><journal-id journal-id-type="iso-abbrev">Parasit Vectors</journal-id><journal-title-group><journal-title>Parasites &#x00026; Vectors</journal-title></journal-title-group><issn pub-type="epub">1756-3305</issn><publisher><publisher-name>BioMed Central</publisher-name><publisher-loc>London</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmid">30318015</article-id><article-id pub-id-type="pmc">6191991</article-id><article-id pub-id-type="publisher-id">3099</article-id><article-id pub-id-type="doi">10.1186/s13071-018-3099-7</article-id><article-categories><subj-group subj-group-type="heading"><subject>Research</subject></subj-group></article-categories><title-group><article-title>Host Decoy Trap (HDT) with cattle odour is highly effective for collection of exophagic malaria vectors</article-title></title-group><contrib-group><contrib contrib-type="author" corresp="yes"><contrib-id contrib-id-type="orcid">http://orcid.org/0000-0002-5038-604X</contrib-id><name><surname>Abong&#x02019;o</surname><given-names>Bernard</given-names></name><address><email>Bernard.Abongo@lstmed.ac.uk</email><email>abongoben@gmail.com</email></address><xref ref-type="aff" rid="Aff1">1</xref><xref ref-type="aff" rid="Aff2">2</xref><xref ref-type="aff" rid="Aff3">3</xref></contrib><contrib contrib-type="author"><name><surname>Yu</surname><given-names>Xiaoyu</given-names></name><address><email>xiaoyu.yu.68@nd.edu</email></address><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Donnelly</surname><given-names>Martin J.</given-names></name><address><email>Martin.Donnelly@lstmed.ac.uk</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Geier</surname><given-names>Martin</given-names></name><address><email>martin.geier@biogents.com</email></address><xref ref-type="aff" rid="Aff5">5</xref></contrib><contrib contrib-type="author"><name><surname>Gibson</surname><given-names>Gabriella</given-names></name><address><email>g.gibson@gre.ac.uk</email></address><xref ref-type="aff" rid="Aff6">6</xref></contrib><contrib contrib-type="author"><name><surname>Gimnig</surname><given-names>John</given-names></name><address><email>hzg1@cdc.gov</email></address><xref ref-type="aff" rid="Aff7">7</xref></contrib><contrib contrib-type="author"><name><surname>ter Kuile</surname><given-names>Feiko</given-names></name><address><email>Feiko.terKuile@lstmed.ac.uk</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Lobo</surname><given-names>Neil F.</given-names></name><address><email>nlobo@nd.edu</email></address><xref ref-type="aff" rid="Aff4">4</xref></contrib><contrib contrib-type="author"><name><surname>Ochomo</surname><given-names>Eric</given-names></name><address><email>eochomo@gmail.com</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Munga</surname><given-names>Stephen</given-names></name><address><email>munga_os@yahoo.com</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Ombok</surname><given-names>Maurice</given-names></name><address><email>MOmbok@kemricdc.org</email></address><xref ref-type="aff" rid="Aff2">2</xref></contrib><contrib contrib-type="author"><name><surname>Samuels</surname><given-names>Aaron</given-names></name><address><email>iyp2@cdc.gov</email></address><xref ref-type="aff" rid="Aff8">8</xref></contrib><contrib contrib-type="author"><name><surname>Torr</surname><given-names>Stephen J.</given-names></name><address><email>Steve.Torr@lstmed.ac.uk</email></address><xref ref-type="aff" rid="Aff1">1</xref></contrib><contrib contrib-type="author"><name><surname>Hawkes</surname><given-names>Frances M.</given-names></name><address><email>F.M.Hawkes@greenwich.ac.uk</email></address><xref ref-type="aff" rid="Aff6">6</xref></contrib><aff id="Aff1"><label>1</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 1936 9764</institution-id><institution-id institution-id-type="GRID">grid.48004.38</institution-id><institution>Liverpool School of Tropical Medicine, </institution></institution-wrap>Pembroke Place, Liverpool, L3 5QA UK </aff><aff id="Aff2"><label>2</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 0155 5938</institution-id><institution-id institution-id-type="GRID">grid.33058.3d</institution-id><institution>Centre for Global Health Research, Kenya Medical Research Institute, </institution></institution-wrap>PO Box 1578-40100, Kisumu, Kenya </aff><aff id="Aff3"><label>3</label>Abt Associates Inc. PMI-VectorLink Kenya, Whitehouse, Milimani, Kisumu, Ojijo Oteko Road, P.O. Box 895-40123, Kisumu, Kenya </aff><aff id="Aff4"><label>4</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0001 2168 0066</institution-id><institution-id institution-id-type="GRID">grid.131063.6</institution-id><institution>Eck Institute for Global Health, Department of Biological Sciences, </institution><institution>University of Notre Dame, </institution></institution-wrap>Notre Dame, IN 46556 USA </aff><aff id="Aff5"><label>5</label>Biogents AB GmbH, Regensburg, Germany </aff><aff id="Aff6"><label>6</label>Natural Resources Institute, University of Greenwich at Medway, Chatham Maritime, Kent, ME4 4TB UK </aff><aff id="Aff7"><label>7</label><institution-wrap><institution-id institution-id-type="ISNI">0000 0004 0540 3132</institution-id><institution-id institution-id-type="GRID">grid.467642.5</institution-id><institution>Division of Parasitic Diseases and Malaria, </institution><institution>Center for Global Health, Centers for Disease Control and Prevention, </institution></institution-wrap>Atlanta, GA 30333 USA </aff><aff id="Aff8"><label>8</label>Centers for Disease Control and Prevention, Kisian Campus, Off Busia Road, P O Box 1578, Kisumu, 40100 Kenya </aff></contrib-group><pub-date pub-type="epub"><day>15</day><month>10</month><year>2018</year></pub-date><pub-date pub-type="pmc-release"><day>15</day><month>10</month><year>2018</year></pub-date><pub-date pub-type="collection"><year>2018</year></pub-date><volume>11</volume><elocation-id>533</elocation-id><history><date date-type="received"><day>8</day><month>5</month><year>2018</year></date><date date-type="accepted"><day>5</day><month>9</month><year>2018</year></date></history><permissions><copyright-statement>&#x000a9; The Author(s). 2018</copyright-statement><license license-type="OpenAccess"><license-p><bold>Open Access</bold>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/">http://creativecommons.org/licenses/by/4.0/</ext-link>), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/publicdomain/zero/1.0/">http://creativecommons.org/publicdomain/zero/1.0/</ext-link>) applies to the data made available in this article, unless otherwise stated.</license-p></license></permissions><abstract id="Abs1"><sec><title>Background</title><p id="Par1">As currently implemented, malaria vector surveillance in sub-Saharan Africa targets endophagic and endophilic mosquitoes, leaving exophagic (outdoor blood-feeding) mosquitoes underrepresented. We evaluated the recently developed host decoy trap (HDT) and compared it to the gold standard, human landing catch (HLC), in a 3 &#x000d7; 3 Latin square study design outdoors in western Kenya. HLCs are considered to represent the natural range of <italic>Anopheles</italic> biting-behaviour compared to other sampling tools, and therefore, in principle, provide the most reliable profile of the biting population transmitting malaria. The HDT incorporates the main host stimuli that attract blood-meal seeking mosquitoes and can be baited with the odours of live hosts.</p></sec><sec><title>Results</title><p id="Par2">Numbers and species diversity of trapped mosquitoes varied significantly between HLCs and HDTs baited with human (HDT-H) or cattle (HDT-C) odour, revealing important differences in behaviour of <italic>Anopheles</italic> species. In the main study in Kisian, the HDT-C collected a nightly mean of 43.2 (95% CI: 26.7&#x02013;69.8) <italic>Anopheles</italic>, compared to 5.8 (95% CI: 4.1&#x02013;8.2) in HLC, while HDT-H collected 0.97 (95% CI: 0.4&#x02013;2.1), significantly fewer than the HLC. Significantly higher proportions of <italic>An. arabiensis</italic> were caught in HDT-Cs (0.94 &#x000b1; 0.01; SE) and HDT-Hs (0.76 &#x000b1; 0.09; SE) than in HLCs (0.45 &#x000b1; 0.05; SE) per trapping night. The proportion of <italic>An. gambiae</italic> (<italic>s.s</italic>.) was highest in HLC (0.55 &#x000b1; 0.05; SE) followed by HDT-H (0.20 &#x000b1; 0.09; SE) and least in HDT-C (0.06 &#x000b1; 0.01; SE). An unbaited HDT placed beside locales where cattle are usually corralled overnight caught mostly <italic>An. arabiensis</italic> with proportions of 0.97 &#x000b1; 0.02 and 0.80 &#x000b1; 0.2 relative to the total anopheline catch in the presence and absence of cattle, respectively. A mean of 10.4 (95% CI: 2.0&#x02013;55.0) <italic>Anopheles</italic>/night were trapped near cattle, compared to 0.4 (95% CI: 0.1&#x02013;1.7) in unbaited HDT away from hosts.</p></sec><sec><title>Conclusions</title><p id="Par3">The capability of HDTs to combine host odours, heat and visual stimuli to simulate a host provides the basis of a system to sample human- and cattle-biting mosquitoes. HDT-C is particularly effective for collecting <italic>An. arabiensis</italic> outdoors. The HDT offers the prospect of a system to monitor and potentially control <italic>An. arabiensis</italic> and other outdoor-biting mosquitoes more effectively.</p></sec></abstract><kwd-group xml:lang="en"><title>Keywords</title><kwd><italic>Anopheles</italic></kwd><kwd><italic>An. arabiensis</italic></kwd><kwd><italic>An. gambiae</italic> (<italic>s.s</italic>.)</kwd><kwd>Vector behaviour</kwd><kwd>Host</kwd><kwd>Odour</kwd><kwd>Mosquito trap</kwd><kwd>Exophily</kwd></kwd-group><funding-group><award-group><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/501100009187</institution-id><institution>Medical Research Foundation</institution></institution-wrap></funding-source><award-id>MR/P025404/1</award-id><principal-award-recipient><name><surname>Hawkes</surname><given-names>Frances M.</given-names></name></principal-award-recipient></award-group></funding-group><funding-group><award-group><funding-source><institution-wrap><institution-id institution-id-type="FundRef">http://dx.doi.org/10.13039/100012463</institution-id><institution>Eck Institute for Global Health, University of Notre Dame</institution></institution-wrap></funding-source></award-group></funding-group><custom-meta-group><custom-meta><meta-name>issue-copyright-statement</meta-name><meta-value>&#x000a9; The Author(s) 2018</meta-value></custom-meta></custom-meta-group></article-meta></front><body><sec id="Sec1"><title>Background</title><p id="Par19">Sustained use of long-lasting insecticide treated nets (LLINs) and indoor residual spraying (IRS) have reduced malaria infection prevalence by half between 2000 and 2015, with LLINs and IRS contributing an estimated 68 and 11% of this decline, respectively [<xref ref-type="bibr" rid="CR1">1</xref>]. Significant changes in vector populations have also been observed with sustained implementation of LLINs [<xref ref-type="bibr" rid="CR2">2</xref>&#x02013;<xref ref-type="bibr" rid="CR4">4</xref>]. Both interventions, however, are limited to indoor application and are therefore more effective against indoor resting (&#x02018;endophilic&#x02019;) and indoor feeding (&#x02018;endophagic&#x02019;) mosquitoes and less so against those that feed and rest outdoors, such as <italic>An. arabiensis</italic> and <italic>An. culicifacies</italic> [<xref ref-type="bibr" rid="CR5">5</xref>]. Sustained use of LLINs and IRS may also select for outdoor resting (&#x02018;exophily&#x02019;) and feeding (&#x02018;exophagy&#x02019;) in mosquito populations [<xref ref-type="bibr" rid="CR6">6</xref>&#x02013;<xref ref-type="bibr" rid="CR8">8</xref>], day-time feeding [<xref ref-type="bibr" rid="CR9">9</xref>] and a shift towards non-human hosts (&#x02018;zoophagy&#x02019;), such as cattle [<xref ref-type="bibr" rid="CR10">10</xref>]. Mosquito populations that feed or rest outdoors may play an important role in the maintenance of malaria transmission after implementation of LLINs or IRS [<xref ref-type="bibr" rid="CR7">7</xref>]. Accordingly, there is a pressing need for better methods to control and monitor these species.</p><p id="Par20">Methods for sampling adult mosquitoes often exploit host-oriented behaviour. For instance, use of the human landing catch (HLC) or placement of CDC-light traps adjacent to a human under a bednet [<xref ref-type="bibr" rid="CR11">11</xref>] rely on the attraction of mosquitoes to their host [<xref ref-type="bibr" rid="CR12">12</xref>&#x02013;<xref ref-type="bibr" rid="CR14">14</xref>]. Hitherto, research to develop devices to attract malaria mosquitoes has focused largely on human odours. Identification of the chemicals present in human odour has led to the development of blends of artificial odours [<xref ref-type="bibr" rid="CR15">15</xref>], which have been used with Mosquito Magnet&#x000ae; X (MMX) [<xref ref-type="bibr" rid="CR16">16</xref>] and Suna [<xref ref-type="bibr" rid="CR17">17</xref>] traps to sample and control [<xref ref-type="bibr" rid="CR18">18</xref>] <italic>An. gambiae</italic> (<italic>s.l.</italic>). However, the design of some of these traps, such as light traps, are dependent on actively aspirating mosquitoes <italic>via</italic> a fan, thereby limiting catch efficacy, as odours induce only part of the behavioral sequence that leads a mosquito to a host [<xref ref-type="bibr" rid="CR19">19</xref>]. Artificial odour blends in isolation do not fully mimic the range of physical and visual stimuli that attract mosquitoes to natural hosts, particularly those that most influence their close-range orientation behaviour [<xref ref-type="bibr" rid="CR20">20</xref>&#x02013;<xref ref-type="bibr" rid="CR22">22</xref>].</p><p id="Par21">Laboratory studies have begun to quantify synergistic effects between olfactory, visual and thermal cues on mosquito behaviour during host location [<xref ref-type="bibr" rid="CR21">21</xref>, <xref ref-type="bibr" rid="CR23">23</xref>]. These developments can contribute to more effective ways to measure vector-host contact, particularly in outdoor environments, where HLCs remain an important means of sampling, despite exposing collectors to mosquito bites and data quality relying on individual collector skill [<xref ref-type="bibr" rid="CR22">22</xref>]. A recent study showed that exploitation of the responses of mosquitoes to the heat produced by hosts may be a potent tool for monitoring and controlling outdoor-biting species of mosquito; the host decoy trap (HDT), which combines natural human odour, visual stimuli, and a thermal signature equivalent to the human body, caught between two and tenfold more <italic>An. coluzzii</italic> than a field technician performing HLC outdoors [<xref ref-type="bibr" rid="CR24">24</xref>], even though <italic>An. coluzzii</italic> is generally considered a primarily endophagic and endophilic species.</p><p id="Par22">In East and Southern Africa, <italic>An. gambiae</italic> (<italic>s.s</italic>.), <italic>An. arabiensis</italic> and <italic>An. funestus</italic> are important vectors of malaria. <italic>Anopheles arabiensis</italic> feeds mostly outdoors on humans and cattle [<xref ref-type="bibr" rid="CR25">25</xref>&#x02013;<xref ref-type="bibr" rid="CR27">27</xref>] while <italic>An. gambiae</italic> (<italic>s.s</italic>.) and <italic>An. funestus</italic> mostly feed indoors on humans [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR27">27</xref>]. In western Kenya, we tested the relative performance of HDTs baited with either natural human (HDT-H) or cattle (HDT-C) odours against HLC to attract and trap outdoor biting mosquitoes and assessed whether natural host odours might provide an effective basis for systems to monitor and control exophagic and zoophagic vectors of malaria.</p></sec><sec id="Sec2"><title>Methods</title><sec id="Sec3"><title>Study area</title><p id="Par23">The study was conducted in Kisian village (0.0749&#x000b0;S, 34.6663&#x000b0;E), near the Kenya Medical Research Institute Centre for Global Health Research (KEMRI-CGHR) in Kisumu County, and in Orego village (0.6167&#x000b0;S, 34.55&#x000b0;E), Homa Bay County, western Kenya, in May and June 2017. Western Kenya is malaria endemic with transmission occurring throughout the year. The region has two wet seasons, March to June and October-December, corresponding to periods of highest malaria transmission. Residents are predominantly of Luo ethnic group practicing small-scale mixed crop farming and raising livestock including cattle and goats. <italic>Anopheles funestus</italic>, <italic>An. arabiensis</italic> and <italic>An. gambiae</italic> (<italic>s.s</italic>.) are the main malaria vectors in the study area. The region has high coverage with LLINs (&#x0003e; 85% of households with at least one net) [<xref ref-type="bibr" rid="CR28">28</xref>].</p></sec><sec id="Sec4"><title>Mosquito collection methods</title><sec id="Sec5"><title>Host decoy trap (HDT)</title><p id="Par24">A standardized HDT was manufactured by the University of Greenwich and Biogents AG (BG-HDT version) using the same principles as the prototype described in Hawkes et al. [<xref ref-type="bibr" rid="CR24">24</xref>]. It consists of a watertight lay-flat plasticized aluminium foil container similar to packets of single-use fruit juice drinks, insulated with layers of polystyrene held in a collapsible cylindrical bucket (height 36 cm, diameter 38 cm), around which a black fabric jacket is secured using hook and eye strips. The watertight bag is filled with ~15 l of water heated to ~80 &#x000b0;C, which is sufficient to maintain surface temperature across the fabric jacket of 30&#x02013;40 &#x000b0;C for at least 12 hours. The bucket is closed with a transparent polyethylene plastic cover to protect the interior from rain. This unit provides high contrast visual stimuli and human-equivalent thermal stimuli to induce close-range attraction and landing behaviour in host-seeking mosquitoes. A transparent adhesive plastic sheet (FICS film, Barrettine Environmental Health, Bristol, UK) covers the circumference of the trap (Fig. <xref rid="Fig1" ref-type="fig">1a</xref>) to catch mosquitoes as they land. In contrast, the original host decoy trap (O-HDT) consisted of metal cooking pot or plastic barrel/container (~40 l), with 15&#x02013;20 l of hot water. The container was insulated with towelling material to maintain the surface temperature at 30&#x02013;40 &#x000b0;C. A black fabric &#x0201c;jacket&#x0201d; was sewn to fit over the insulating material to provide a strong visual contrast against the background.<fig id="Fig1"><label>Fig. 1</label><caption><p>Host Decoy Trap (BG-HDT) set-up. <bold>a</bold> Cow tethered inside tent provides natural host odour and carbon dioxide for baiting HDT. <bold>b</bold> Experimental set-up showing host-occupied tent, PVC pipe (fan inside pipe directs host odour to trap) and HDT. <bold>c</bold> Pipe opening releases host odour within 10 cm of the HDT. Visual stimuli of the dark trap and warmth of water-filled trap induce mosquitoes to land on clear adhesive sheet covering dark surface of the trap</p></caption><graphic xlink:href="13071_2018_3099_Fig1_HTML" id="MO1"/></fig></p><p id="Par25">To provide natural host odours, two tents made from canvas supported by a metal frame, each measuring 2.0 m high &#x000d7; 2.0 m square were used to house odour baits (Fig. <xref rid="Fig1" ref-type="fig">1a</xref>). One tent was assigned to a cow and another to a human volunteer throughout the study period. Tents were aerated and rotated between the trapping sites each night. A 12V fan (Biogents AG) connected to a 10 m length of PVC tubing (10 cm in diameter) was placed inside the tent (Fig. <xref rid="Fig1" ref-type="fig">1b</xref>). The other opening of the tube was covered with untreated mosquito netting and placed ~10 cm from the base of the HDT unit, thus venting host odours from the tent around the trap at approximately 2000 l/min (Fig. <xref rid="Fig1" ref-type="fig">1c</xref>). Carbon dioxide produced by both cow and human baited tents was measured at the pipe outlet using a CO<sub>2</sub> meter (EGM-4, PP Systems, Amesbury, MA, USA). The values were adjusted to consider background levels of CO<sub>2</sub> (400 ppm). The cow-odour released ~0.6 l/min CO<sub>2</sub> from the pipe outlet, about three times more than the human-odour released (~0.2 l/min), consistent with an approximately three-fold difference in their weights.</p><p id="Par26">In principle, mosquitoes following odour plumes emanating from the end of the PVC tube see the HDT and approach it. They then encounter the warmth of the trap&#x02019;s surface, whereupon they land and become stuck to the transparent adhesive sheet (Fig. <xref rid="Fig2" ref-type="fig">2a</xref>). At the end of the sampling period a thinner plastic sheet of transparent polyethylene wrap (cling film/food wrap) was laid on the surface of the adhesive sheet, sandwiching trapped mosquitoes between the two sheets (Fig. <xref rid="Fig2" ref-type="fig">2b</xref>). Using a razorblade, the sheets were cut and removed from the HDT and mosquitoes were later removed from the sheets in the laboratory using Romax Glue Solvent (Barrettine Environmental Health, Bristol, UK).<fig id="Fig2"><label>Fig. 2</label><caption><p>Mosquitoes collected by Host Decoy Traps (HDT). <bold>a</bold> A section of the HDT showing trapped mosquitoes stuck to clear adhesive sheet. <bold>b</bold> Trapped mosquitoes recovered from HDT by removing adhesive sheet from the trap and covering it with a layer of thin plastic food wrap before species identification in the laboratory</p></caption><graphic xlink:href="13071_2018_3099_Fig2_HTML" id="MO2"/></fig></p><p id="Par27">Whole host odours were used to attract mosquitoes to HDTs. Four cows, each weighing 150&#x02013;200 kg were used individually to provide natural odours in the experiment. Each cow was used for six consecutive nights before being replaced (Fig. <xref rid="Fig1" ref-type="fig">1a</xref>). Eight field assistants working in pairs conducted the experiments, with each pair participating for six consecutive nights before being replaced. The field assistants worked in two shifts (18:00 to 12:00 h and 12:00 to 07:00 h), changing places each night to perform either an outdoor HLC or sleeping in the tent to provide human odour for the HDT-H.</p></sec><sec id="Sec6"><title>Human landing catch (HLC)</title><p id="Par28">Field assistants performing HLCs sat outside at the same locations as the HDT sites, with their trousers folded to knee height and caught mosquitoes landing on their exposed lower limbs using a mouth aspirator. Collections were performed for 45 min and the collectors rested 15 min in each collection hour. Collected mosquitoes were placed in paper cups and were sustained on 10% sugar solution before transportation to the laboratory for analysis.</p></sec></sec><sec id="Sec7"><title>Species identification and parasite detection</title><p id="Par29">Mosquitoes were sorted to subfamilies to separate anopheline from culicine species. In each subfamily, mosquitoes were further separated by abdominal status as either fed, unfed, gravid or half gravid. All <italic>Anopheles</italic> mosquitoes were identified morphologically to species [<xref ref-type="bibr" rid="CR29">29</xref>, <xref ref-type="bibr" rid="CR30">30</xref>] and then placed singly in 1.5 ml micro-centrifuge tubes for further laboratory analysis. Species were identified by PCR for <italic>An. gambiae</italic> (<italic>s.l.</italic>) [<xref ref-type="bibr" rid="CR31">31</xref>] and <italic>An. funestus</italic> (<italic>s.l.</italic>) group [<xref ref-type="bibr" rid="CR32">32</xref>] and sporozoite rate was determined by enzyme linked immunosorbent assay (ELISA) [<xref ref-type="bibr" rid="CR33">33</xref>].</p></sec><sec id="Sec8"><title>Experiment 1: Comparison of catches from HDTs and HLCs</title><p id="Par30">We investigated the host choices of outdoor-biting malaria vectors using the BG-HDT, baited with either human or cattle odour, and compared these catches with the HLC. Our null hypothesis was that an HLC and the HDTs baited with cow (HDT-C) or human (HDT-H) odour would catch equal numbers of mosquitoes with the same species composition in an outdoor peri-domestic environment. A replicated Latin Square experimental design of collection methods &#x000d7; sites &#x000d7; nights was conducted. Collection sites were 100 m from each other. The experiment was carried out twice, first (May 2017) in Kisian village, Kisumu county, and subsequently (June 2017) in Orego village, Homa Bay county. Collections ran from 18:00 h to 07:00 h for 24 nights in Kisian village and 12 nights in Orego village.</p></sec><sec id="Sec9"><title>Experiment 2: Catches from un-baited HDT</title><p id="Par31">In the second experiment, we tested whether mosquitoes would be attracted to an unbaited BG-HDT (i.e. operated without any host odours released from the tent) placed within 5 m of a corralled herd of cattle. The main aim was to determine whether dispersed host odour is sufficient to attract mosquitoes close enough to the HDT to induce them to land on the warm, visually conspicuous trap. Two pairs of neighbouring compounds in Kisian village were chosen for this study, each ~100 m apart. Within each pair, approximately 10 cattle were present in one compound and absent in the other. The BG-HDT (excluding tent and pipe used to deliver odours in Experiment 1) was placed next to the corralled cattle herd or in the centre of the compound where cattle were absent. Trapping was performed for six consecutive nights in each pair of compounds between 18:00 h and 07:00 h.</p></sec><sec id="Sec10"><title>Experiment 3: Trap validation - does the BG-HDT catch similar abundance and species composition as the original HDT?</title><p id="Par32">In Experiment 3, we tested whether the commercially produced BG-HDT performed as well as the original proof of concept trap used in Hawkes et al. [<xref ref-type="bibr" rid="CR24">24</xref>], with an additional reference HLC, with respect to mosquito species composition and abundance. We constructed an HDT in accordance with the protocol available at 10.17504/protocols.io.n95dh86. A 3 &#x000d7; 3 Latin Square was conducted in Kisian, comparing HLC, BG-HDT and the original version (O-HDT), both baited with human odour as described in Experiment 1, with the exception that small one-person tents were used. This experiment was completed over 24 nights from May to June 2017.</p></sec><sec id="Sec11"><title>Data analysis</title><p id="Par33">Analysis was done using R statistical software version 3.4.1. Data were fitted using Generalized Linear Mixed Effects Statistical Models (GLMMs) to describe effects of collection method on mosquito catches. Since the data were over-dispersed, we used the package <italic>glmmADMB</italic> [<xref ref-type="bibr" rid="CR34">34</xref>] to fit negative binomial distribution models for the analysis of mosquito numbers. The numbers of female <italic>Anopheles</italic> mosquitoes were assessed as a function of collection method as a fixed effect, and collection sites and days were treated as random effects. A binomial GLM model was used to analyse <italic>Anopheles</italic> species densities per trapping method and a pairwise comparison of means of <italic>Anopheles</italic> species between different trapping methods done by Tukey&#x02019;s <italic>post-hoc</italic> test.</p></sec></sec><sec id="Sec12"><title>Results</title><p id="Par34">Altogether 1807 <italic>Anopheles</italic> and 22,333 culicine mosquitoes were collected in Experiments 1, 2 and 3 combined. Samples collected by HDT were mostly unfed, while HLC yielded the highest proportion of fed <italic>Anopheles</italic> (<italic>n</italic> = 21; 17.10%), whereas there were only 6 blood-fed in HDT-C and none in HDT-H (Table <xref rid="Tab1" ref-type="table">1</xref>). All mosquitoes collected by HDT were in good enough condition for morphological identification, PCR and sporozoite ELISA procedures.<table-wrap id="Tab1"><label>Table 1</label><caption><p>Numbers of <italic>Anopheles</italic> and culicine species collected by different treatments for each experiment</p></caption><table frame="hsides" rules="groups"><thead><tr><th rowspan="2">Experiment</th><th rowspan="2">Treatment</th><th colspan="6"><italic>Anopheles</italic> species</th><th colspan="6">Culicine species</th></tr><tr><th>Fed</th><th>Gravid</th><th>Half gravid</th><th>Unfed</th><th>Male</th><th>Total</th><th>Fed</th><th>Gravid</th><th>Half gravid</th><th>Unfed</th><th>Male</th><th>Total</th></tr></thead><tbody><tr><td rowspan="3">Exp. 1 (Kisian, <italic>n</italic> = 24 nights)</td><td>HDT-C</td><td>1</td><td>0</td><td>1</td><td>1011</td><td>0</td><td>1013</td><td>4</td><td>1</td><td>1</td><td>8610</td><td>25</td><td>8641</td></tr><tr><td>HDT-H</td><td>0</td><td>0</td><td>1</td><td>23</td><td>0</td><td>24</td><td>2</td><td>0</td><td>1</td><td>605</td><td>22</td><td>630</td></tr><tr><td>HLC</td><td>21</td><td>0</td><td>2</td><td>120</td><td>5</td><td>148</td><td>47</td><td>6</td><td>5</td><td>1686</td><td>0</td><td>1744</td></tr><tr><td rowspan="3">Exp. 1 (Homa Bay, <italic>n</italic> = 12 nights)</td><td>HDT-C</td><td>1</td><td>0</td><td>0</td><td>124</td><td>0</td><td>125</td><td>0</td><td>0</td><td>0</td><td>246</td><td>0</td><td>246</td></tr><tr><td>HDT-H</td><td>0</td><td>0</td><td>0</td><td>9</td><td>0</td><td>9</td><td>0</td><td>0</td><td>0</td><td>26</td><td>0</td><td>26</td></tr><tr><td>HLC</td><td>7</td><td>0</td><td>1</td><td>8</td><td>1</td><td>16</td><td>0</td><td>1</td><td>6</td><td>9</td><td>2</td><td>18</td></tr><tr><td rowspan="2">Exp. 2 (<italic>n</italic> = 6 nights)</td><td>Cattle present</td><td>41</td><td>3</td><td>6</td><td>86</td><td>0</td><td>136</td><td>570</td><td>1</td><td>33</td><td>2793</td><td>1</td><td>3398</td></tr><tr><td>Cattle absent</td><td>0</td><td>0</td><td>0</td><td>7</td><td>0</td><td>7</td><td>0</td><td>0</td><td>0</td><td>122</td><td>1</td><td>123</td></tr><tr><td rowspan="3">Exp. 3 (<italic>n</italic> = 24 nights)</td><td>O-HDT</td><td>0</td><td>0</td><td>0</td><td>90</td><td>0</td><td>90</td><td>7</td><td>0</td><td>0</td><td>3089</td><td>31</td><td>3127</td></tr><tr><td>BG-HDT</td><td>1</td><td>0</td><td>0</td><td>119</td><td>0</td><td>120</td><td>2</td><td>0</td><td>0</td><td>2721</td><td>9</td><td>2732</td></tr><tr><td>HLC</td><td>4</td><td>0</td><td>0</td><td>111</td><td>4</td><td>119</td><td>19</td><td>32</td><td>30</td><td>1558</td><td>9</td><td>1648</td></tr><tr><td>Total</td><td/><td>76 (4.2)</td><td>3 (0.2)</td><td>11 (0.6)</td><td>1708 (94.5)</td><td>10 (0.6)</td><td>1807</td><td>651 (2.9)</td><td>41 (0.2)</td><td>76 (0.3)</td><td>21,465 (96.1)</td><td>100 (0.4)</td><td>22,333</td></tr></tbody></table></table-wrap></p><sec id="Sec13"><title>Experiment 1: Comparison of catches from HDTs and HLCs</title><p id="Par35">Generalized Linear Mixed Effects Statistical Models (GLMMs) was used to all statistical tests. The estimated mosquito abundance in Kisian village differed significantly by trap type. The HDT-C collected a nightly average of 43.2 (95% CI: 26.7&#x02013;69.8) <italic>Anopheles</italic>, compared to 5.8 (95% CI: 4.1&#x02013;8.2) in HLC (<italic>z</italic> = -8.99, <italic>P</italic> &#x0003c; 0.001), while HDT-H collected 0.97 (95% CI: 0.4&#x02013;2.1) per night, significantly fewer <italic>Anopheles</italic> than the HLC (<italic>z</italic> = -6.00, <italic>P</italic> &#x0003c; 0.001). A similar pattern was observed in mean nightly catch of culicine species. These were significantly higher in HDT-C with a mean of 349.6 (95% CI: 208.5&#x02013;586.3) compared to 70.5 in HLC (95% CI: 46.5&#x02013;106.7), (<italic>z</italic> = -10.10, <italic>P</italic> &#x0003c; 0.001), while the HDT-H collected 22.9, the fewest culicine mosquitoes (95% CI: 13.6&#x02013;38.8), significantly less than the HLC (<italic>z</italic> = -7.05, <italic>P</italic> &#x0003c; 0.001; Fig. <xref rid="Fig3" ref-type="fig">3a</xref>).<fig id="Fig3"><label>Fig. 3</label><caption><p>Nightly outdoor catches (mean &#x000b1; standard error) of <italic>Anopheles</italic> spp. and culicine mosquitoes from cattle-baited HDT (HDT-C), human-baited HDT (HDT-H) and human landing catch (HLC) traps in Kisian (<italic>n</italic> = 24 nights) and Homa Bay (<italic>n</italic> = 12 nights), western Kenya (Experiment 1). Data are plotted on a logarithmic y-axis</p></caption><graphic xlink:href="13071_2018_3099_Fig3_HTML" id="MO3"/></fig></p><p id="Par36">Overall abundance of <italic>Anopheles</italic> in Homa Bay showed a trend of significantly higher numbers of mosquitoes in HDT-C, compared to the other methods. In Homa Bay, a mean of 7.5 (95% CI: 2.8&#x02013;19.9) <italic>Anopheles</italic> were collected by HDT-C each night, compared to 1.0 (95% CI: 0.4&#x02013;2.3) in HLC, (<italic>z</italic> = 5.31, <italic>P</italic> &#x0003c; 0.001). No significant difference was found between catches in HLC and HDT-H with a mean of 0.5 (95% CI: 0.1&#x02013;2.1; <italic>z</italic> = -1.26, <italic>P</italic> = 0.21). As in Kisian, a significantly higher mean number of culicine mosquitoes, 18.9 (95% CI: 7.5&#x02013;47.3), were also collected by HDT-C each night in Homa Bay, compared to 1.3 (95% CI: 0.7&#x02013;2.6) in HLC (<italic>z</italic> = 6.61, <italic>P</italic> &#x0003c; 0.001; Fig. <xref rid="Fig3" ref-type="fig">3b</xref>).</p><p id="Par37">Both cattle- and human-baited HDTs almost exclusively collected unfed female <italic>Anopheles</italic> (97.4%) while fed <italic>Anopheles</italic> accounted for 17% of HLC samples (Table <xref rid="Tab1" ref-type="table">1</xref>). Sporozoite infection rates were 1.4% (9/635) in HDT-C, 5.5% (1/18) in HDT-H and 0.9% (1/111) in HLC. Sporozoite infection was 0.97% (9/921) in <italic>An. arabiensis</italic> and 1.64% (2/122) in <italic>An. gambiae</italic> (<italic>s.s</italic>.).</p><p id="Par38">Proportions of <italic>Anopheles</italic> species with respect to total anopheline numbers, varied according to trapping method and field location (Fig. <xref rid="Fig4" ref-type="fig">4</xref>). From HDT-C collections, <italic>An. arabiensis</italic> comprised the highest proportion of all <italic>Anopheles</italic> species caught in both Kisian (0.94 &#x000b1; 0.01) and Homa Bay (0.57 &#x000b1; 0.05). <italic>Anopheles gambiae</italic> (<italic>s.s</italic>.) were collected only in Kisian where they comprised 0.06 &#x000b1; 0.01 of all anophelines, while both <italic>An. funestus</italic> and <italic>An. coustani</italic> were collected only in Homa Bay at proportions of 0.04 &#x000b1; 0.02 and 0.38 &#x000b1; 0.04, respectively (Fig. <xref rid="Fig4" ref-type="fig">4a</xref>). Collections by HDT-H were predominantly <italic>An. arabiensis</italic> at both sites (0.76 &#x000b1; 0.1 of all anophelines in Kisian and 0.82 &#x000b1; 0.12 in Homa Bay). <italic>An. gambiae</italic> (<italic>s.s</italic>.) comprised 0.20 &#x000b1; 0.1 of anophelines in Kisian while 0.18 &#x000b1; 0.12 of anophelines collected in Homa Bay were <italic>An. coustani</italic> (Fig. <xref rid="Fig4" ref-type="fig">4b</xref>). Comparable proportions of <italic>An. arabiensis</italic> were collected by HLC in both Kisian and Homa Bay (0.45 &#x000b1; 0.05 and 0.46 &#x000b1; 0.09, respectively). The highest proportion of <italic>An. gambiae</italic> (<italic>s.s</italic>.), was observed in HLC collections in Kisian, where it made up 0.55 &#x000b1; 0.05 of all anophelines, while <italic>An. funestus</italic> comprised 0.43 &#x000b1; 0.09 of all anophelines collected in Homa Bay (Fig. <xref rid="Fig4" ref-type="fig">4c</xref>).<fig id="Fig4"><label>Fig. 4</label><caption><p>Relative species composition (proportions &#x000b1; standard error) of <italic>Anopheles</italic> mosquitoes from three outdoor trapping methods [cattle-baited HDT (HDT-C), human-baited HDT (HDT-H) and human landing catch (HLC) traps] in Kisian and Homa Bay, western Kenya (Experiment 1). Numbers in key show total catch of <italic>Anopheles</italic> caught in Kisian (<italic>n</italic> = 24 nights) and Homa Bay (<italic>n</italic> = 12 nights)</p></caption><graphic xlink:href="13071_2018_3099_Fig4_HTML" id="MO4"/></fig></p><p id="Par39">In Kisian, significantly higher proportions of <italic>An. arabiensis</italic> were found in HDT-C compared to HDT-H (<italic>z</italic> = -2.8; <italic>P</italic> = 0.01), and in HDT-H compared to HLC (<italic>z</italic> = -2.5; <italic>P</italic> = 0.03). A significantly lower proportion of <italic>An. arabiensis</italic> was observed in HLC compared to HDT-C (<italic>z</italic> = -12.4; <italic>P</italic> &#x0003c; 0.001). Significantly higher proportions of <italic>An. gambiae</italic> (<italic>s.s</italic>.) were observed in HLC compared to HDT-C (<italic>z</italic> = 12.5; <italic>P</italic> &#x0003c; 0.001), HLC compared to HDT-H (<italic>z</italic> = 2.7; <italic>P</italic> = 0.02) and HDT-H compared to HDT-C (<italic>z</italic> = 2.3; <italic>P</italic> = 0.05). Only two <italic>An. funestus</italic> were collected by HDT-C in Kisian, hence no analysis was performed on this species.</p><p id="Par40">In Homa Bay, there was no significant difference in the proportion of <italic>An. arabiensis</italic> caught by the different collection methods. Significantly higher proportions of <italic>An. funestus</italic> were collected in the HLC compared to HDT-C (<italic>z</italic> = 4.8; <italic>P</italic> &#x0003c; 0.001). No <italic>An. funestus</italic> were collected by HDT-H. <italic>An. coustani</italic> was sampled by all collection methods. HDT-C collected significantly higher proportions of <italic>An. coustani</italic> compared to HLC (<italic>z</italic> = -2.66; <italic>P</italic> = 0.03), while no significant differences were found between HDT-C and HDT-H or between HLC and HDT-H.</p></sec><sec id="Sec14"><title>Experiment 2: Catches from unbaited HDT</title><p id="Par41">Unbaited BG-HDTs placed either next to a herd of corralled cattle or in a compound with no cattle present captured <italic>Anopheles</italic> mosquitoes. The traps collected mostly <italic>An. arabiensis</italic> at proportions of 0.97 &#x000b1; 0.02 and 0.8 &#x000b1; 0.2 in the presence and absence of cattle, respectively. These differences were not statistically significant. However, the HDT collected a mean of 10.4 (95% CI: 2.0&#x02013;55.0) <italic>Anopheles</italic> each night in the presence of cattle <italic>versus</italic> 0.45 (95% CI: 0.1&#x02013;1.7) when cattle were absent (<italic>z</italic> = -3.81; <italic>P</italic> = 0.0001). A significantly higher mean number of culicine mosquitoes were collected in the presence of cattle, 314.5 (95% CI: 70.0&#x02013;1412.3) <italic>versus</italic> 3.83 (95% CI: 1.4&#x02013;10.5) in compounds without cattle (<italic>z</italic> = -6.92, <italic>P</italic> &#x0003c; 0.001; Fig. <xref rid="Fig5" ref-type="fig">5</xref>). No sporozoite-positive <italic>Anopheles</italic> were detected in Experiment 2, however 30% of <italic>Anopheles</italic> mosquitoes in the HDT next to cattle were blood-fed, which may reflect partial blood meals on the available cattle (Table <xref rid="Tab1" ref-type="table">1</xref>).<fig id="Fig5"><label>Fig. 5</label><caption><p>Comparison of mean (&#x000b1; standard error) catches by Host Decoy Traps in the presence or absence of cattle in Kisian, western Kenya. Mean nightly outdoor catch (<italic>n</italic> = 6 nights/site for each treatment) of <italic>Anopheles</italic> spp. and culicine mosquitoes (Experiment 2). Data are plotted on a logarithmic y-axis</p></caption><graphic xlink:href="13071_2018_3099_Fig5_HTML" id="MO5"/></fig></p></sec><sec id="Sec15"><title>Experiment 3: Trap validation - does the BG-HDT catch similar abundance and species composition as the original trap?</title><p id="Par42">We compared the commercial BG-HDT produced by Biogents and the O-HDT, the original proof of concept version, alongside a standard HLC. We found no significant difference (<italic>z</italic> = -0.73; <italic>P</italic> = 0.46) in the mean nightly outdoor catch of <italic>Anopheles</italic> between the commercial BG-HDT, which caught 3.33 (95% CI: 1.4&#x02013;8.0), and the original version made using locally available materials, which caught 2.66 (95% CI: 1.1&#x02013;6.5) per night (Fig. <xref rid="Fig6" ref-type="fig">6</xref>). There was also no significant difference in mean nightly <italic>Anopheles</italic> catch between the commercial BG-HDT and HLC [4.21 (95% CI: 2.2&#x02013;7.9); <italic>z</italic> = -0.74; <italic>P</italic> = 0.46]. The commercial BG-HDT and O-HDT caught near identical proportions of <italic>An. arabiensis</italic> (72% and 69% of specimens, respectively; <italic>z</italic> = -0.50; <italic>P</italic> = 0.86).<fig id="Fig6"><label>Fig. 6</label><caption><p>Nightly outdoor catches (mean &#x000b1; SE; <italic>n</italic> = 24 nights) of <italic>Anopheles</italic> mosquitoes with the original Host Decoy Trap (O-HDT), the BG-HDT and the human landing catch (HLC), in Kisian, western Kenya (Experiment 3)</p></caption><graphic xlink:href="13071_2018_3099_Fig6_HTML" id="MO6"/></fig></p></sec></sec><sec id="Sec16"><title>Discussion</title><p id="Par43">Our results demonstrate that the HDT baited with cattle odour is a highly efficient method of sampling outdoor biting anophelines, with a cattle-baited HDT catching consistently more <italic>Anopheles</italic>, mainly <italic>An. arabiensis</italic>, than the HLC. Overall, the cattle-baited HDT caught over seven times more <italic>Anopheles</italic> than HLC outdoors. There were also significant differences in the species composition captured by traps baited with different hosts. This result suggests that HDTs may be useful both for collecting large numbers of mosquitoes outdoors, as well as for elucidating mosquito host choice. Our ability to trap mosquitoes when placed in the presence of cattle outdoors demonstrates how the HDT could be deployed as a passive monitoring device for use in outdoor peri-domestic environments. The HDT incorporates sensory stimuli used by host biting mosquitoes to locate their next blood meal and represents a potential new tool for sampling host-seeking mosquitoes, particularly in outdoor environments. The high proportion of unfed <italic>Anopheles</italic> in HDT collections demonstrate that it is an exposure-free trap. Comparatively, high blood-fed rate in HLC is likely a reflection of potential blood meal from the collectors who are at the risk of potentially infectious mosquito bites. We recommend further improvement of the trap with development of artificial lures that mimic a full arrange of host-associated odours to be used in combination with other mosquito host stimuli for malaria vector surveillance.</p><p id="Par44">The number of <italic>Anopheles</italic> caught in HDT-H was significantly lower than HLC in the Kisian experiment while no significant difference was observed between the two methods in Homa Bay. In the initial development of the trap, HDT-H caught significantly more <italic>Anopheles</italic> overall than the HLC [<xref ref-type="bibr" rid="CR24">24</xref>]. In the present study, local vector populations are composed of <italic>An. gambiae</italic> (<italic>s.s</italic>.), <italic>An. arabiensis</italic>, <italic>An. funestus</italic> and <italic>An. coustani</italic>, whereas <italic>An. coluzzii</italic> is predominant in the area of Burkina Faso where the first evaluation of HDT took place. Given that Experiment 3 confirmed the original prototype used in Burkina Faso [<xref ref-type="bibr" rid="CR24">24</xref>] showed similar catch abundance and composition to the BG-HDT deployed in Experiments 1 and 2, the observed difference in HDT performance is likely a result of species behavioural differences rather than differences in trapping method. Measurement of CO<sub>2</sub> between the HDTs showed that 2.44 times more CO<sub>2</sub> was released from the HDT-C tent than the HDT-H tent. However, there were ~44 times more <italic>Anopheles</italic> and ~14 times more culicines in the HDT-C than in the HDT-H. The effect of differing CO<sub>2</sub> concentrations released from the cattle and human tents on the respective HDT catches demonstrates that there is a non-linear relationship between CO<sub>2</sub> and attractiveness to mosquitoes, which merits further research.</p><p id="Par45"><italic>Anopheles arabiensis</italic> was the predominant species in catches by HDT-C, highlighting the behavior of this species with reference to feeding location and host choice. Previous studies in western Kenya have largely associated <italic>An. arabiensis</italic> with cattle feeding, and outdoor biting with occasional feeds on humans both indoors and outdoors [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR27">27</xref>, <xref ref-type="bibr" rid="CR35">35</xref>]. Even though the overall catch of <italic>An. arabiensis</italic> was low in both HDT-H and HLC, the vector species comprised a high proportion of <italic>Anopheles</italic> trapped by the two methods at both sites with some captured mosquitoes having sporozoite infection, indicating previous feeding on humans, although likely at lower rates than <italic>An. gambiae</italic> or <italic>An. funestus</italic>. Earlier investigations of <italic>An. arabiensis</italic> biting behavior in western Kenya found that outdoor resting <italic>An. arabiensis</italic> did not feed on humans, whereas those caught resting indoors had a human blood index (HBI) of 0.23 [<xref ref-type="bibr" rid="CR27">27</xref>]. In northern Tanzania, 90.3% of <italic>An. arabiensis</italic> were captured in traps baited with cattle odour compared to 9.7% which were attracted to human odour [<xref ref-type="bibr" rid="CR36">36</xref>]. In Ethiopia, an evaluation of blood-feeding behavior of <italic>An. arabiensis</italic> using host-baited sampling methods showed that this species fed preferentially on humans over cattle outdoors, but with a preference for cattle-biting outdoors over human-biting indoors [<xref ref-type="bibr" rid="CR25">25</xref>, <xref ref-type="bibr" rid="CR37">37</xref>]. These studies illustrate the diversity of feeding behaviour of <italic>An. arabiensis</italic>, which makes this species particularly difficult to control by LLINs and IRS.</p><p id="Par46">Human-baited traps, HDT-H and HLC caught the largest proportions of <italic>An</italic>. <italic>gambiae</italic> (<italic>s.s</italic>.). While earlier studies investigating host selection reported the species to feed more frequently on humans indoors [<xref ref-type="bibr" rid="CR2">2</xref>, <xref ref-type="bibr" rid="CR26">26</xref>, <xref ref-type="bibr" rid="CR27">27</xref>, <xref ref-type="bibr" rid="CR35">35</xref>], there is a recent report of an unusually high frequency of animal and mixed blood meals in <italic>An. gambiae</italic> (<italic>s.s</italic>.) [<xref ref-type="bibr" rid="CR10">10</xref>] and a shift in biting time [<xref ref-type="bibr" rid="CR38">38</xref>] in regions of western Kenya highlands with high bednet coverage. These observations suggest possible behavioral modification in the presence of bednets. While our data are unable to confirm any of these observations, we recommend further studies to determine current contribution of <italic>An. gambiae</italic> (<italic>s.s</italic>.) to malaria transmission both indoors and outdoors in the lake endemic regions of western Kenya, following previous reports of historical population decline of the species associated with the introduction of bednets [<xref ref-type="bibr" rid="CR3">3</xref>].</p><p id="Par47">Additional control tools that target outdoor-biting vector populations are needed to supplement LLINs and IRS [<xref ref-type="bibr" rid="CR7">7</xref>, <xref ref-type="bibr" rid="CR39">39</xref>]. Zooprophylaxis by keeping cattle around houses has been suggested as a strategy to protect humans from malaria [<xref ref-type="bibr" rid="CR36">36</xref>]. Classical zooprophylaxis (without insecticides) may not have a significant impact on the malaria vectorial capacity of <italic>An. arabiensis</italic> [<xref ref-type="bibr" rid="CR37">37</xref>] in regions where the vector bites both humans and cattle. Indeed, the presence of cattle may result in the proliferation of the species and sustain outdoor transmission. However, treating cattle with insecticides or endectocides, such as ivermectin, may be a viable strategy [<xref ref-type="bibr" rid="CR40">40</xref>]. Recent evaluation of endectocide administration to local Zebu cattle under semi-field conditions in western Kenya showed a significant reduction in survival of <italic>An. arabiensis</italic> of up to 21 days post-treatment [<xref ref-type="bibr" rid="CR41">41</xref>]. Furthermore, a field evaluation of topical formulations of eprinomectin against <italic>An. arabiensis</italic> in western Kenya showed a 38% reduction in indoor resting densities of the species within one-week post-treatment [<xref ref-type="bibr" rid="CR42">42</xref>]. The HDT is suitable for sampling outdoor-biting vectors under such treatments, and therefore, could be a valuable method for monitoring the impact of the next generation of control interventions that target malaria vectors, including periodic assessment of host preference. The numbers of <italic>An. arabiensis</italic> collected and killed each night by the HDT also raises the question of whether the concept of host decoys can be developed as a behaviour-based vector control tool, similar to the Suna trap [<xref ref-type="bibr" rid="CR18">18</xref>] or to the lethal targets used to lure and kill tsetse vectors of trypanosomes [<xref ref-type="bibr" rid="CR43">43</xref>].</p></sec><sec id="Sec17"><title>Conclusions</title><p id="Par48">The HDT, which combines odours, heat and a visually-conspicuous stimulus to simulate a host, provides the basis of a system to sample <italic>Anopheles</italic> mosquitoes, particularly outdoor feeding mosquitoes that tend to feed primarily on other hosts but may be involved in residual transmission of malaria. The cattle-baited HDT is particularly effective for <italic>An. arabiensis</italic>, an important vector of malaria which feeds, in part, outdoors on cattle and is, therefore, not efficiently sampled or controlled by standard methods. The HDT offers the prospect of a system to monitor and potentially control <italic>An. arabiensis</italic> and other outdoor-biting mosquitoes more effectively. To achieve a practical, standardized system, the use of artificial host odours to replace the natural odours used in this and previous studies of the HDT should be explored.</p></sec></body><back><glossary><title>Abbreviations</title><def-list><def-item><term>BG-HDT</term><def><p id="Par4">Host decoy trap manufactured by Biogents AG</p></def></def-item><def-item><term>CDC</term><def><p id="Par5">Centers for disease control and prevention</p></def></def-item><def-item><term>ELISA</term><def><p id="Par6">Enzyme-linked immunosorbent assay</p></def></def-item><def-item><term>GLMM</term><def><p id="Par7">Generalized linear mixed effects statistical models</p></def></def-item><def-item><term>HBI</term><def><p id="Par8">Human blood index</p></def></def-item><def-item><term>HDT</term><def><p id="Par9">Host decoy trap</p></def></def-item><def-item><term>HDT-C</term><def><p id="Par10">Host decoy trap - cow-baited</p></def></def-item><def-item><term>HDT-H</term><def><p id="Par11">Host decoy trap - human-baited</p></def></def-item><def-item><term>HLC</term><def><p id="Par12">Human landing catch</p></def></def-item><def-item><term>IRS</term><def><p id="Par13">Indoor residual spraying</p></def></def-item><def-item><term>KEMRI/SERU</term><def><p id="Par14">Kenya Medical Research Institute/ Scientific and Ethics Review Unit</p></def></def-item><def-item><term>LLIN</term><def><p id="Par15">Long-lasting insecticidal net</p></def></def-item><def-item><term>O-HDT</term><def><p id="Par16">Host decoy trap - original construction</p></def></def-item><def-item><term>PCR</term><def><p id="Par17">Polymerase chain reaction</p></def></def-item><def-item><term>PVC</term><def><p id="Par18">Polyvinyl chloride</p></def></def-item></def-list></glossary><ack><title>Acknowledgements</title><p>The authors thank all volunteers who participated in mosquito collection as well as the community of Kisian and Orego villages for their support. We thank also the staff of KEMRI-CGHR for their support, especially Laban Adero for the night supervision of the HLC collectors and Celestine Wekesa, Mathew Kipsum and Brigid Kemei for laboratory analysis of mosquitoes.</p><sec id="FPar1"><title>Funding</title><p id="Par49">This project was supported by the following: Medical Research Council &#x0201c;Human Decoy Trap; operational and social acceptability of novel tool to improve surveillance and control of mosquitoes and other disease vectors&#x0201d;, grant number MR/P025404/1. The Eck Institute of Global Health supported trap validation experiments.</p></sec><sec id="FPar2"><title>Availability of data and materials</title><p id="Par50">The datasets used during the present study are available from the corresponding author upon reasonable request.</p></sec><sec id="FPar3"><title>Disclaimer</title><p id="Par51">The opinions or assertions contained in this manuscript are the private ones of the authors and are not to be construed as official or reflecting the views of the U.S. Centers for Disease Control and Prevention or the Department of Health and Human Services. Use of trade names is for identification only and does not imply endorsement by U.S. Centers for Disease Control and Prevention or the Department of Health and Human Services.</p></sec></ack><notes notes-type="author-contribution"><title>Authors&#x02019; contributions</title><p>BA, FMH and SJT conceived the study. BA, FMH, SJT, XY, NFL and MJD participated in design of the experiment. BA, SJT, FMH, XY and MO performed the experiment. BA, SJT, MJD and FMH analyzed the data. FMH, GG and GM developed the BG-HDT. BA, FMH, GG, MJD, SJT, JG, FK, AS, NL, EO and SM wrote and reviewed the manuscript. All authors read and approved the final manuscript.</p></notes><notes notes-type="COI-statement"><sec id="FPar4"><title>Ethics approval and consent to participate</title><p>The study was approved by the Kenya Medical Research Institute/ Scientific and Ethics Review Unit (KEMRI/SERU), number 2776 and by CDC through a reliance agreement with KEMRI/SERU (CDC IRB 6728). Individuals participating in HLC gave a written consent. They were screened for malaria and treated if positive. The collectors were placed on malaria prophylaxis, Mephaquin (Acino Pharma AG, Switzerland) one week before collections begun, with repeat doses once every week through the collection period, until four weeks after collections ended. 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