Argha Mondal

Chaos, Solitons & Fractals · 2020

A researcher in the Science corpus: 1 paper; trusts 0 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Argha Mondal trusts overall

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

  1. Faical Ndairou

Papers from Argha Mondal's perspective

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

  1. The Mathematics of Infectious Diseases
  2. Analysis and forecast of COVID-19 spreading in China, Italy and France (Chaos, Solitons & Fractals)
  3. Mathematical modeling of COVID-19 transmission dynamics with a case study of Wuhan (Chaos, Solitons & Fractals)
  4. Modelling the COVID-19 epidemic and implementation of population-wide interventions in Italy (Nature Medicine)
  5. Modified SEIR and AI prediction of the epidemics trend of COVID-19 in China under public health interventions (Journal of Thoracic Disease)
  6. Early Transmission Dynamics in Wuhan, China, of Novel Coronavirus–Infected Pneumonia (New England Journal of Medicine)
  7. Early dynamics of transmission and control of COVID-19: a mathematical modelling study (medRxiv)
  8. SARS-CoV-2 Viral Load in Upper Respiratory Specimens of Infected Patients (New England Journal of Medicine)
  9. Detection of 2019 novel coronavirus (2019-nCoV) by real-time RT-PCR (Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin)
  10. Presumed Asymptomatic Carrier Transmission of COVID-19. (Journal of the American Medical Association (JAMA))

Their papers