Amanote Research

Amanote Research

    RegisterSign In

Predicting Subnational Ebola Virus Disease Epidemic Dynamics From Sociodemographic Indicators

PLoS ONE - United States
doi 10.1371/journal.pone.0163544
Full Text
Open PDF
Abstract

Available in full text

Categories
Multidisciplinary
Date

October 12, 2016

Authors
Linda ValeriOscar Patterson-LombaYared GurmuAkweley AblorhJennifer BobbF. William TownesGuy Harling
Publisher

Public Library of Science (PLoS)


Related search

Ebola Virus Disease

Canadian Journal of Infectious Diseases and Medical Microbiology
Infectious DiseasesMicrobiology
2014English

Characterizing the Transmission Dynamics and Control of Ebola Virus Disease

PLoS Biology
ImmunologyMolecular BiologyGeneticsBiochemistryMicrobiology Biological SciencesAgriculturalNeuroscience
2015English

Dynamics of 2014 Ebola Epidemic in West Africa

2019English

Ebola Virus Disease and Children

JAMA Pediatrics
Child HealthPediatricsPerinatology
2014English

Ebola Virus Disease: Emerging Outbreak

International Journal of Medical and Dental Sciences
2015English

A Chaotic Model for the Epidemic of Ebola Virus Disease in West Africa (2013–2016)

Chaos
Nonlinear PhysicsApplied MathematicsMathematical PhysicsStatisticalMedicineAstronomyPhysics
2016English

Ebola Virus Disease and Children

ACTUAL INFECTOLOGY
2018English

Ebola Virus Disease – A Global Threat

GERMS
ImmunologyEpidemiologyPublic HealthMicrobiologyMicrobiology EnvironmentalInfectious DiseasesOccupational Health
2014English

Social Dynamics of Ebola Virus Disease: A Case of Bundibugyo District, Uganda

Health
2019English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2025 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy