- Title
- A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission
- Creators
- Jean-Marc O Depinay - Fogarty International Center, National Institutes of Health, 16 Center Drive, Bethesda MD 20892, USACharles M Mbogo - Kenya Medical Research Institute, Centre for Geographic Medicine Research – Coast, P.O. Box 428, Kilifi, KenyaGerry Killeen - Ifakara Health Research and Development Centre, PO Box 53 Ifakara, Kilombero District, TanzaniaBart Knols - Entomology Unit, FAO/IAEA Agriculture and Biotechnology Laboratory, A-2444 Seibersdorf, AustriaJohn Beier - Global Public Health Program, University of Miami, South Campus, 12500 SW 152nd Street, Building B, Miami, FL 33177, USAJohn Carlson - Tulane University, New Orleans, LA 70118, USAJonathan Dushoff - Fogarty International Center, National Institutes of Health, 16 Center Drive, Bethesda MD 20892, USAPeter Billingsley - University of Aberdeen, Zoology Building, University of Aberdeen, Aberdeen AB24 2TZ, UKHenry Mwambi - School of Mathematics, Statistics and IT, University of Natal, Private Bag X01 Scottsville, 3209 Pietermaritzburg, South AfricaJohn Githure - International Centre of Insect Physiology and Ecology, P.O. Box 30772, Nairobi, KenyaAbdoulaye M Toure - Faculty of Medicine, Pharmacy, and Dentistry, Malaria Research and Training Center; B.P. 1805 Bamako, MaliF Ellis McKenzie - Fogarty International Center, National Institutes of Health, 16 Center Drive, Bethesda MD 20892, USA
- Publication Details
- Malaria journal, Vol.3(1), pp.29-29
- Publisher
- BioMed Central; London
- Academic Unit
- Miller School of Medicine; UMMG Department of Public Health Sciences Research
- Language
- English
- Resource Type
- Journal article
- PMID
- 15285781
- PMCID
- PMC514565
- Record Identifier
- 991031560036202976
Journal article
A simulation model of African Anopheles ecology and population dynamics for the analysis of malaria transmission
Malaria journal, Vol.3(1), pp.29-29
2004
PMCID: PMC514565
PMID: 15285781
Metrics
10 Record Views
InCites Highlights
These are selected metrics from InCites Benchmarking & Analytics tool, related to this output
- Collaboration types
- Domestic collaboration
- International collaboration
- Citation topics
- 1 Clinical & Life Sciences
- 1.217 Parasitology - Malaria, Toxoplasmosis & Coccidiosis
- 1.217.59 Malaria
- Web Of Science research areas
- Infectious Diseases
- Parasitology
- Tropical Medicine
- ESI research areas
- Clinical Medicine
UN Sustainable Development Goals (SDGs)
This output has contributed to the advancement of the following goals:
Source: InCites