Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia
Abstract Background Surveillance of outdoor host-seeking malaria vectors is crucial to monitor changes in vector biting behaviour and evaluate the impact of vector control interventions. Human landing catch (HLC) has been considered the most reliable and gold standard surveillance method to estimate...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMC
2020-05-01
|
| Series: | Malaria Journal |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s12936-020-03244-2 |
| _version_ | 1828164830154981376 |
|---|---|
| author | Teshome Degefa Delenasaw Yewhalaw Guofa Zhou Harrysone Atieli Andrew K. Githeko Guiyun Yan |
| author_facet | Teshome Degefa Delenasaw Yewhalaw Guofa Zhou Harrysone Atieli Andrew K. Githeko Guiyun Yan |
| author_sort | Teshome Degefa |
| collection | DOAJ |
| description | Abstract Background Surveillance of outdoor host-seeking malaria vectors is crucial to monitor changes in vector biting behaviour and evaluate the impact of vector control interventions. Human landing catch (HLC) has been considered the most reliable and gold standard surveillance method to estimate human-biting rates. However, it is labour-intensive, and its use is facing an increasing ethical concern due to potential risk of exposure to infectious mosquito bites. Thus, alternative methods are required. This study was conducted to evaluate the performance of human-odour-baited CDC light trap (HBLT) and human-baited double net trap (HDNT) for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia. Methods The sampling efficiency of HBLT and HDNT was compared with CDC light trap and HLC using Latin Square Design in Ahero and Iguhu sites, western Kenya and Bulbul site, southwestern Ethiopia between November 2015 and December 2018. The differences in Anopheles mosquito density among the trapping methods were compared using generalized linear model. Results Overall, 16,963 female Anopheles mosquitoes comprising Anopheles gambiae sensu lato (s.l.), Anopheles funestus s.l., Anopheles pharoensis, Anopheles coustani and Anopheles squamosus were collected. PCR results (n = 552) showed that Anopheles arabiensis was the only member of An. gambiae s.l. in Ahero and Bulbul, while 15.7% An. arabiensis and 84.3% An. gambiae sensu stricto (s.s.) constituted An. gambiae s.l. in Iguhu. In Ahero, HBLT captured 2.23 times as many An. arabiensis and 2.11 times as many An. funestus as CDC light trap. In the same site, HDNT yielded 3.43 times more An. arabiensis and 3.24 times more An. funestus than HBLT. In Iguhu, the density of Anopheles mosquitoes did not vary between the traps (p > 0.05). In Bulbul, HBLT caught 2.19 times as many An. arabiensis as CDC light trap, while HDNT caught 6.53 times as many An. arabiensis as CDC light trap. The mean density of An. arabiensis did not vary between HDNT and HLC (p = 0.098), whereas the HLC yielded significantly higher density of An. arabiensis compared to HBLT and CDC light trap. There was a significant density-independent positive correlation between HDNT and HLC (r = 0.69). Conclusion This study revealed that both HBLT and HDNT caught higher density of malaria vectors than conventional CDC light trap. Moreover, HDNT yielded a similar vector density as HLC, suggesting that it could be an alternative tool to HLC for outdoor host-seeking malaria vector surveillance. |
| first_indexed | 2024-04-12T01:33:16Z |
| format | Article |
| id | doaj.art-7fd41fed20aa4140b22e89880aa9b0d8 |
| institution | Directory Open Access Journal |
| issn | 1475-2875 |
| language | English |
| last_indexed | 2024-04-12T01:33:16Z |
| publishDate | 2020-05-01 |
| publisher | BMC |
| record_format | Article |
| series | Malaria Journal |
| spelling | doaj.art-7fd41fed20aa4140b22e89880aa9b0d82022-12-22T03:53:25ZengBMCMalaria Journal1475-28752020-05-0119111510.1186/s12936-020-03244-2Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and EthiopiaTeshome Degefa0Delenasaw Yewhalaw1Guofa Zhou2Harrysone Atieli3Andrew K. Githeko4Guiyun Yan5School of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma UniversitySchool of Medical Laboratory Sciences, Faculty of Health Sciences, Jimma UniversityProgram in Public Health, College of Health Sciences, University of California at IrvineSchool of Public Health and Community Development, Maseno UniversityCentre for Global Health Research, Kenya Medical Research InstituteProgram in Public Health, College of Health Sciences, University of California at IrvineAbstract Background Surveillance of outdoor host-seeking malaria vectors is crucial to monitor changes in vector biting behaviour and evaluate the impact of vector control interventions. Human landing catch (HLC) has been considered the most reliable and gold standard surveillance method to estimate human-biting rates. However, it is labour-intensive, and its use is facing an increasing ethical concern due to potential risk of exposure to infectious mosquito bites. Thus, alternative methods are required. This study was conducted to evaluate the performance of human-odour-baited CDC light trap (HBLT) and human-baited double net trap (HDNT) for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia. Methods The sampling efficiency of HBLT and HDNT was compared with CDC light trap and HLC using Latin Square Design in Ahero and Iguhu sites, western Kenya and Bulbul site, southwestern Ethiopia between November 2015 and December 2018. The differences in Anopheles mosquito density among the trapping methods were compared using generalized linear model. Results Overall, 16,963 female Anopheles mosquitoes comprising Anopheles gambiae sensu lato (s.l.), Anopheles funestus s.l., Anopheles pharoensis, Anopheles coustani and Anopheles squamosus were collected. PCR results (n = 552) showed that Anopheles arabiensis was the only member of An. gambiae s.l. in Ahero and Bulbul, while 15.7% An. arabiensis and 84.3% An. gambiae sensu stricto (s.s.) constituted An. gambiae s.l. in Iguhu. In Ahero, HBLT captured 2.23 times as many An. arabiensis and 2.11 times as many An. funestus as CDC light trap. In the same site, HDNT yielded 3.43 times more An. arabiensis and 3.24 times more An. funestus than HBLT. In Iguhu, the density of Anopheles mosquitoes did not vary between the traps (p > 0.05). In Bulbul, HBLT caught 2.19 times as many An. arabiensis as CDC light trap, while HDNT caught 6.53 times as many An. arabiensis as CDC light trap. The mean density of An. arabiensis did not vary between HDNT and HLC (p = 0.098), whereas the HLC yielded significantly higher density of An. arabiensis compared to HBLT and CDC light trap. There was a significant density-independent positive correlation between HDNT and HLC (r = 0.69). Conclusion This study revealed that both HBLT and HDNT caught higher density of malaria vectors than conventional CDC light trap. Moreover, HDNT yielded a similar vector density as HLC, suggesting that it could be an alternative tool to HLC for outdoor host-seeking malaria vector surveillance.http://link.springer.com/article/10.1186/s12936-020-03244-2Malaria vectorsOutdoor host-seekingSurveillanceHuman-odour-baited CDC light trapHuman-baited double net trapKenya |
| spellingShingle | Teshome Degefa Delenasaw Yewhalaw Guofa Zhou Harrysone Atieli Andrew K. Githeko Guiyun Yan Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia Malaria Journal Malaria vectors Outdoor host-seeking Surveillance Human-odour-baited CDC light trap Human-baited double net trap Kenya |
| title | Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia |
| title_full | Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia |
| title_fullStr | Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia |
| title_full_unstemmed | Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia |
| title_short | Evaluation of human-baited double net trap and human-odour-baited CDC light trap for outdoor host-seeking malaria vector surveillance in Kenya and Ethiopia |
| title_sort | evaluation of human baited double net trap and human odour baited cdc light trap for outdoor host seeking malaria vector surveillance in kenya and ethiopia |
| topic | Malaria vectors Outdoor host-seeking Surveillance Human-odour-baited CDC light trap Human-baited double net trap Kenya |
| url | http://link.springer.com/article/10.1186/s12936-020-03244-2 |
| work_keys_str_mv | AT teshomedegefa evaluationofhumanbaiteddoublenettrapandhumanodourbaitedcdclighttrapforoutdoorhostseekingmalariavectorsurveillanceinkenyaandethiopia AT delenasawyewhalaw evaluationofhumanbaiteddoublenettrapandhumanodourbaitedcdclighttrapforoutdoorhostseekingmalariavectorsurveillanceinkenyaandethiopia AT guofazhou evaluationofhumanbaiteddoublenettrapandhumanodourbaitedcdclighttrapforoutdoorhostseekingmalariavectorsurveillanceinkenyaandethiopia AT harrysoneatieli evaluationofhumanbaiteddoublenettrapandhumanodourbaitedcdclighttrapforoutdoorhostseekingmalariavectorsurveillanceinkenyaandethiopia AT andrewkgitheko evaluationofhumanbaiteddoublenettrapandhumanodourbaitedcdclighttrapforoutdoorhostseekingmalariavectorsurveillanceinkenyaandethiopia AT guiyunyan evaluationofhumanbaiteddoublenettrapandhumanodourbaitedcdclighttrapforoutdoorhostseekingmalariavectorsurveillanceinkenyaandethiopia |