- Title
- A simplified model for predicting malaria entomologic inoculation rates based on entomologic and parasitologic parameters relevant to control
- Creators
- Gerry E KILLEEN - Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United StatesE. Ellis MCKENZIE - Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United StatesBrian D FOY - Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United StatesCatherine SCHIEFFELIN - Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United StatesPeter E BILLINGSLEY - Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United StatesJohn C BEIER - Department of Organismic and Evolutionary Biology, Harvard University, Cambridge, Massachusetts, United States
- Publication Details
- The American journal of tropical medicine and hygiene, Vol.62(5), pp.535-544
- Publisher
- Allen Press; Lawrence, KS
- Academic Unit
- Miller School of Medicine; UMMG Department of Public Health Sciences Research
- Language
- English
- Resource Type
- Journal article
- PMID
- 11289661
- PMCID
- PMC2483339
- Record Identifier
- 991031559687502976
Journal article
A simplified model for predicting malaria entomologic inoculation rates based on entomologic and parasitologic parameters relevant to control
The American journal of tropical medicine and hygiene, Vol.62(5), pp.535-544
2000
PMCID: PMC2483339
PMID: 11289661
Metrics
9 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
- Public, Environmental & Occupational Health
- 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