Erik M. Volz
Epidemiology · 2008–2021
A researcher in the Science corpus: 9 papers; trusts 3 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Epidemiology — 21 citations into it
Whom Erik M. Volz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Douglas D. Heckathorn
- Mark Newman
- Jie Wu
- Michael Worobey
- Andrew Rambaut
- John Wakeley
- Neil M. Ferguson
- Christophe Fraser
- Stanley Wasserman
- Philippe Lemey
Who trusts Erik M. Volz overall
- Matthew J. Salganik
- Krista Gile
- Amber Tomas
- Sharad Goel
- Minas Gjoka
- Mark S. Handcock
- Douglas D. Heckathorn
- F. Goetzke
- Maciej Kurant
- Bruno Ribeiro
Papers from Erik M. Volz's perspective
Ordered by how strongly the researchers Erik M. Volz trusts endorse each paper. Same corpus, a different order for every researcher.
- Random graphs with arbitrary degree distributions and their applications. (Physical review. E, Statistical, nonlinear, and soft matter physics)
- Assortative mixing in networks. (Physical Review Letters)
- Monte Carlo Sampling Methods Using Markov Chains and Their Applications
- Small worlds: the dynamics of networks between order and randomness
- Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings (Science)
- Respondent-driven sampling II: deriving valid population estimates from chain-referral samples of hi
- Mapping the Antigenic and Genetic Evolution of Influenza Virus
- Phylogeography takes a relaxed random walk in continuous space and time. (Molecular biology and evolution)
- Infectious diseases of humans: Dynamics and control
- Ecological and immunological determinants of influenza evolution (Nature)
Their papers
- Estimating the effects of non-pharmaceutical interventions on COVID-19 in Europe (2020) — 3,017 citations
- Hospital admission and emergency care attendance risk for SARS-CoV-2 delta (B.1.617.2) compared with alpha (B.1.1.7) variants of concern: a cohort study (2021) — 720 citations
- Assessing transmissibility of SARS-CoV-2 lineage B.1.1.7 in England (2021) — 1,098 citations
- SARS-CoV-2 evolution during treatment of chronic infection (2021) — 955 citations
- Report 9: Impact of non-pharmaceutical interventions (NPIs) to reduce COVID19 mortality and healthcare demand (2020) — 2,675 citations
- Estimates of the severity of coronavirus disease 2019: a model-based analysis (2020) — 3,496 citations
- Viral Phylodynamics (2013) — 399 citations
- Probability based estimation theory for respondent driven sampling (2008) — 633 citations
- A Discrete-Choice Approach to Modeling Social Influence on Individual Decision Making (2008) — 143 citations