The goal of Core 3 (Genotyping) is to provide the infrastructure and technical expertise required to carryout the genetic-based studies proposed in the ICEMR. Core 3 will take advantage ofthe instrument infrastructure and the seven years of experience and expertise established by the Johns Hopkins Malaria Research Institute. Core 3 will provide services for the ICEMR investigators to generate high-quality genotyping, genomics and expression data using microarray, PCR and sequencing platforms. The Core will provide genotyping analysis of mosquito samples using PCR and lllumina platforms. Parasite samples will be genotyped employing the Affymetrix GeneChip and real time PCR platforms. Samples from human participants will be analyzed for multiplicity of infection using a nested PCR-based approach. Core 3 will facilitate in the analysis, interpretation and the integration ofthe data into the ICEMR database.
Core 3 will provide the instrumentation and technical expertise to carryout the genotyping and expression analyses required to define the contribution of parasite, vector and human genetics to the transmission dynamics in the southern African ICEMR study sites.
|Searle, Kelly M; Lubinda, Jailos; Hamapumbu, Harry et al. (2017) Characterizing and quantifying human movement patterns using GPS data loggers in an area approaching malaria elimination in rural southern Zambia. R Soc Open Sci 4:170046|
|Das, Smita; Muleba, Mbanga; Stevenson, Jennifer C et al. (2017) Beyond the entomological inoculation rate: characterizing multiple blood feeding behavior and Plasmodium falciparum multiplicity of infection in Anopheles mosquitoes in northern Zambia. Parasit Vectors 10:45|
|Sutcliffe, Catherine G; Searle, Kelly; Matakala, Hellen K et al. (2017) Measles and Rubella Seroprevalence Among HIV-infected and Uninfected Zambian Youth. Pediatr Infect Dis J 36:301-306|
|Ippolito, Matthew M; Searle, Kelly M; Hamapumbu, Harry et al. (2017) House Structure Is Associated with Plasmodium falciparum Infection in a Low-Transmission Setting in Southern Zambia. Am J Trop Med Hyg 97:1561-1567|
|Venter, Nelius; Oliver, Sh?né V; Muleba, Mbanga et al. (2017) Benchmarking insecticide resistance intensity bioassays for Anopheles malaria vector species against resistance phenotypes of known epidemiological significance. Parasit Vectors 10:198|
|Searle, Kelly M; Katowa, Ben; Kobayashi, Tamaki et al. (2017) Distinct parasite populations infect individuals identified through passive and active case detection in a region of declining malaria transmission in southern Zambia. Malar J 16:154|
|Kanyangarara, Mufaro; Mamini, Edmore; Mharakurwa, Sungano et al. (2016) Individual- and Household-Level Risk Factors Associated with Malaria in Mutasa District, Zimbabwe: A Serial Cross-Sectional Study. Am J Trop Med Hyg 95:133-40|
|Stevenson, Jennifer C; Pinchoff, Jessie; Muleba, Mbanga et al. (2016) Spatio-temporal heterogeneity of malaria vectors in northern Zambia: implications for vector control. Parasit Vectors 9:510|
|Guo, Suqin; He, Lishan; Tisch, Daniel J et al. (2016) Pilot testing of dipsticks as point-of-care assays for rapid diagnosis of poor-quality artemisinin drugs in endemic settings. Trop Med Health 44:15|
|Stevenson, Jennifer C; Norris, Douglas E (2016) Implicating Cryptic and Novel Anophelines as Malaria Vectors in Africa. Insects 8:|
Showing the most recent 10 out of 56 publications