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Artificial blood feeding of mosquitoes is essential for their rearing in insectaries as well as for mosquito-borne pathogen transmission experiments. We conducted a systematic review and meta-analysis of the different artificial feeding systems available for mosquitoes to synthesize evidence regarding their efficacy in terms of feeding rates and fecundity. PubMed, Scopus, Web of Science, and Google Scholar were systematically searched to retrieve 1,822 experimental studies assessing the efficacy of artificial feeding systems. After assessing eligibility and risk of bias, 25 studies were included in the final analysis. Studies were reviewed and meta-analysis was conducted using random-effects model. The primary outcomes were feeding rates and fecundity of mosquitoes belonging to genera Aedes, Culex, and Anopheles for the different systems. Subgroup analyses with respect to membrane, blood source, and mosquito genera were conducted. Sensitivity analysis was done to assess heterogeneity. The overall pooled estimate of feeding rate of mosquitoes and the average number of eggs laid per female mosquito using artificial blood-feeding systems were 72% (66–77%) and 71.9 (56.68–87.12), respectively. Results from this systematic review are suggestive of the advantages of novel techniques, such as Digital Thermo Mosquito Blood Feeder and 3D-printed feeders. The study provides evidence for improved feeding rates of mosquitoes in systems using bovine blood and synthetic membranes such as latex.
Authors’ contributions: S. Kumar: literature search, study selection, data extraction, risk of bias assessment, draft preparation. P. Bhavsar: screening of studies, study selection, data extraction. A. B. Sudeep: interpretation of data, adjudication of disagreements in data extraction, revision of the draft, final approval. K. S. Lole: interpretation of data, revision of the draft, review of risk of bias assessments. M. A. Shamim: data analysis, intellectual input in the overall methodology, final approval. S. Jadhav: data analysis, input for draft preparation. G. de Monte: screening of studies, data extraction. S. P. Raghunath: conception and design of the study, study selection, data extraction, risk of bias assessment, revision of draft for intellectual content and final approval of the version to be published.
Current contact information: Surendra Kumar, Priyanka Bhavsar, Anakkathil B. Sudeep, Kavita S. Lole, Santhoshkumar Jadhav, Glades D’Monte, and Sreelakshmi P. Raghunath, ICMR-National Institute of Virology, Pune, India, E-mails: surendrakumarrana853@gmail.com, priyankabhavsar.m@gmail.com, lolekavita37@yahoo.com, smjniv@gmail.com, dmonteglades06@gmail.com, and dr.pr2003@gmail.com. Muhammad A. Shamim, Department of Pharmacology, All India Institute of Medical Sciences, Jodhpur, India, E-mail: aaqibsh@gmail.com.
Past two years | Past Year | Past 30 Days | |
---|---|---|---|
Abstract Views | 311 | 311 | 151 |
Full Text Views | 3 | 3 | 1 |
PDF Downloads | 4 | 4 | 1 |