Kiesha Prem

Modeling and Simulation · 2017–2021

A researcher in the Science corpus: 8 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Kiesha Prem trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Jacco Wallinga
  2. Simon Cauchemez
  3. Niel Hens
  4. Andrew Gelman
  5. P. van den Driessche
  6. Karl Ulrich Mayer
  7. P. Teunis
  8. Neil M. Ferguson
  9. Stephen G. Eubank
  10. Juliette Stehlé

Papers from Kiesha Prem's perspective

Ordered by how strongly the researchers Kiesha Prem trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Transmission Dynamics of the Etiological Agent of SARS in Hong Kong: Impact of Public Health Interventions (Science)
  2. Using data on social contacts to estimate age-specific transmission parameters for respiratory-spread infectious agents. (American Journal of Epidemiology)
  3. Social Contacts and Mixing Patterns Relevant to the Spread of Infectious Diseases
  4. Strategies for containing an emerging influenza pandemic in Southeast Asia (Nature)
  5. Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings (Science)
  6. Dynamics of Person-to-Person Interactions from Distributed RFID Sensor Networks (PLoS ONE)
  7. Mining social mixing patterns for infectious disease models based on a two-day population survey in Belgium (BMC Infectious Diseases)
  8. Network theory and SARS: predicting outbreak diversity (Journal of Theoretical Biology)
  9. Nowcasting and forecasting the potential domestic and international spread of the 2019-nCoV outbreak originating in Wuhan, China: a modelling study (The Lancet)
  10. Case-Fatality Rate and Characteristics of Patients Dying in Relation to COVID-19 in Italy. (Journal of the American Medical Association (JAMA))

Their papers