Work

Use of a statistical computational simulation to predict intensity of malaria transmission from data of clinical symptomatic episodes of malaria and climate

Year: 2023

Type: preprint

Source: Research Square

DOI: 10.21203/rs.3.rs-1945901/v2

Authors: L.N. Ozurumba-Dwight, A.A. Hassan, A.B. Odaibo, Okorie Anyaele, A.A. Adeyemo, O.O. Amodu, C T. Happi, S.I. Oyedeji

Institutions: National Institutes of Health, University of Ibadan, Redeemer's University, National Human Genome Research Institute, Federal University Oye Ekiti

Language: English

Topic: Malaria Research and Control

Subfield: Public Health, Environmental and Occupational Health

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: green

Funder: National Institute of Science Education and Research

OpenAlex ID: W4381891236

Cites: 14

Cited by:

Related to: 10