The work Samik is helping to review amounts to 'what-if' scenarios.
COVID-19 models developed by the TePūnaha Matatini researchers tend to be stochastic, says Samik. This means they use probabilities rather than exact numbers. Models like these are useful because they can be run many times to see best-case, worst-case and most-likely scenarios of potential COVID-19 spread. "We get sent a draft paper, which sets out the point of their COVID-19 modelling and goes through their methods and results. You see the number of cases or number of hospitalisations go up or down over time depending on what parameter values they're putting in or what they think will happen if we go, for example, straight from Level 4 to Level 2," he says.
The review process would be familiar to researchers in any field, although it happens somewhat faster."We have a few days to go through a paper, question assumptions and things we like and don't like. Then, we usually get together over a Zoom meeting to talk about what's very wrong and what could be improved.Our feedback gets put together by panel Chair Matt Parry and returned to the authors.”
Samik's work at NIWA is with the population modelling group, which involves fisheries, protected and invasive species. He says the tools and techniques used here at NIWA - using data to build models and simulate future scenarios - aren't a million miles away from what's being used by epidemiologists to investigate COVID-19.