Manisha A Kulkarni
- Assessing bed net use and non-use after long-lasting insecticidal net distribution: a simple framework to guide programmatic strategiesJodi L Vanden Eng
Centers for Disease Control and Prevention, Center for Global Health, Division of Parasitic Diseases and Malaria, 4770 Buford Hwy MS F 22, Atlanta, GA 30341, USA
Malar J 9:133. 2010..In order to increase ITN use, it is necessary to devise strategies that accurately identify, differentiate, and target the reasons and types of non-use...
- Efficacy of pyrethroid-treated nets against malaria vectors and nuisance-biting mosquitoes in Tanzania in areas with long-term insecticide-treated net useManisha A Kulkarni
Department of Natural Resource Sciences, McGill University, Ste Anne de Bellevue, QC, Canada
Trop Med Int Health 12:1061-73. 2007..To measure pyrethroid susceptibility in populations of malaria vectors and nuisance-biting mosquitoes in Tanzania and to test the biological efficacy of current insecticide formulations used for net treatment...
- Contribution of integrated campaign distribution of long-lasting insecticidal nets to coverage of target groups and total populations in malaria-endemic areas in MadagascarManisha A Kulkarni
HealthBridge, Ottawa, Ontario, Canada
Am J Trop Med Hyg 82:420-5. 2010..Targeted LLIN distribution further contributed to total population coverage (60%) through use of campaign nets by all age groups...
- Occurrence of the leucine-to-phenylalanine knockdown resistance (kdr) mutation in Anopheles arabiensis populations in Tanzania, detected by a simplified high-throughput SSOP-ELISA methodManisha A Kulkarni
Department of Natural Resource Sciences, McGill University, Macdonald Campus, Ste Anne de Bellevue, Quebec H9X 3V9, Canada
Malar J 5:56. 2006..Knockdown resistance (kdr) confers resistance to the pyrethroid class of insecticides with cross-resistance to DDT through single nucleotide polymorphisms (SNPs) in the voltage-gated sodium channel gene...
- High resolution niche models of malaria vectors in northern Tanzania: a new capacity to predict malaria risk?Manisha A Kulkarni
Canadian Facility for Ecoinformatics Research, Department of Biology, University of Ottawa, Ottawa, Ontario, Canada
PLoS ONE 5:e9396. 2010..Recent modelling innovations make it possible to predict vector distributions and extrapolate malaria risk continentally, but these risk mapping efforts have not yet bridged the spatial gap to guide on-the-ground control efforts...