about
Spatial and Temporal Trends in Insecticide Resistance among Malaria Vectors in Chad Highlight the Importance of Continual MonitoringUse of Google Earth to strengthen public health capacity and facilitate management of vector-borne diseases in resource-poor environmentsDeveloping an evidence-based decision support system for rational insecticide choice in the control of African malaria vectors.Impact assessment of malaria vector control using routine surveillance data in Zambia: implications for monitoring and evaluation.Inhibition of papillomavirus protein function in cervical cancer cells by intrabody targeting.Knockdown resistance mutations predict DDT resistance and pyrethroid tolerance in the visceral leishmaniasis vector Phlebotomus argentipes.Underpinning sustainable vector control through informed insecticide resistance management.Multi-disease data management system platform for vector-borne diseases.Insecticide resistance and the future of malaria control in Zambia.The emergence of insecticide resistance in central Mozambique and potential threat to the successful indoor residual spraying malaria control programme.DDT-based indoor residual spraying suboptimal for visceral leishmaniasis elimination in IndiaDevelopment of a Simple Dipstick Assay for Operational Monitoring of DDTMonitoring the operational impact of insecticide usage for malaria control on Anopheles funestus from Mozambique.Impact of pyrethroid resistance on operational malaria control in MalawiUnderstanding the transmission dynamics of Leishmania donovani to provide robust evidence for interventions to eliminate visceral leishmaniasis in Bihar, India.Evaluation of an operational malaria outbreak identification and response system in Mpumalanga Province, South AfricaIntegrated vector management: the Zambian experience.Using the SaTScan method to detect local malaria clusters for guiding malaria control programmes.Combining indoor residual spraying and insecticide-treated net interventions.Restriction to gene flow is associated with changes in the molecular basis of pyrethroid resistance in the malaria vector Anopheles funestus.Geographical distributions of African malaria vector sibling species and evidence for insecticide resistance.Developing global maps of insecticide resistance risk to improve vector control.Short communication: Negative spatial association between lymphatic filariasis and malaria in West Africa.Amplification of a xanthine dehydrogenase gene is associated with insecticide resistance in the common house mosquito Culex quinquefasciatus.Insecticide resistance in Anopheles arabiensis and Anopheles gambiae from Mozambique.Household and microeconomic factors associated with malaria in Mpumalanga, South Africa.Associated patterns of insecticide resistance in field populations of malaria vectors across Africa.Monitoring the operational impact of insecticide usage for malaria control on Anopheles funestus from MozambiqueVisceral leishmaniasis cyclical trends in Bihar, India - implications for the elimination programmeAnalysis-ready datasets for insecticide resistance phenotype and genotype frequency in African malaria vectors
P50
Q26315347-90639D5F-390D-467E-ABA0-65B225BD0AE4Q28656310-DE3772E4-CFEE-4D4F-BF4D-21455155F5BAQ30483182-8107CBAD-C86C-41C8-9950-D3B3AD1F54E7Q30583511-C35A8991-3A27-44AD-85D9-6BA98DF8826FQ33228392-D03A0D1B-54EA-425A-886B-FDE3B5E2F652Q33611020-364C4638-83F9-41F0-A7A3-F1B47BB735D4Q33763654-95C35B9A-B761-431D-A824-750410C2C765Q33863582-46D725CA-07B3-4401-841E-6483E5535187Q34018991-53408E27-B046-4312-B2AB-215D3B31714EQ34987530-F6800476-B7B9-42D1-BF84-BBD931163DF2Q35865636-0B19715A-5024-4F25-9521-726BB5954EDBQ35892627-6F8866E0-333E-45E7-8103-D13F138113C7Q36409817-3FE2316F-F47E-4311-988D-3E97E9A89F02Q36436946-764CDFD5-D36B-46DB-8ECA-D2A4A7BCA5EFQ36508569-0789623A-15CD-4C3A-AA7E-A358EAB537A6Q36688540-1AB840D5-4B73-48DB-84D3-507E393AC4EEQ36906157-2B3EC380-0A95-49FB-82FA-20270EF34B5FQ37184286-5E9DD40E-61EB-4106-91CA-AE37426D5C15Q37331585-F7BCA727-91E8-41FE-9EDA-70957967DE2FQ37589868-DDD462C4-0A80-4087-AAEC-5B308AF7F497Q37656686-E9DDB387-989B-48C9-94B5-92ED2F8C647CQ37658289-80641298-30D5-41E1-9DA5-F5C0813BBA60Q39127761-6B6FBF2B-CD59-43C8-B2F3-A3469AE1B2CFQ44138059-7002B8FD-877A-424A-97D4-9546F27C6D7FQ44168226-95B67077-3C26-47A3-A449-A3DDF5741653Q46396552-9C69A092-4356-4E46-8D48-95DF555C036CQ54203714-5068839C-CFD4-42A9-8694-152DCC9E4820Q56828868-DA194BDF-9064-4B05-B20C-B88359851340Q57725662-C5150FDB-8E6D-4461-B82F-7EC3E6B0A5BEQ91902495-C3F627DC-4C54-4F06-8F93-48A6B6D62D53
P50
description
hulumtues
@sq
researcher
@en
wetenschapper
@nl
հետազոտող
@hy
name
Michael Coleman
@ast
Michael Coleman
@en
Michael Coleman
@es
Michael Coleman
@nl
Michael Coleman
@sl
type
label
Michael Coleman
@ast
Michael Coleman
@en
Michael Coleman
@es
Michael Coleman
@nl
Michael Coleman
@sl
prefLabel
Michael Coleman
@ast
Michael Coleman
@en
Michael Coleman
@es
Michael Coleman
@nl
Michael Coleman
@sl
P108
P106
P108
P21
P31
P496
0000-0003-4186-3526