The management of the COVID-19 pandemic has highlighted the value of scientific  expertise and the importance of fast, accurate and comprehensive data to inform policy decisions and to anticipate and manage risk . It emphasises the importance of effective communication of scientific knowledge , decision-making under uncertainty and decision frameworks that navigate different values and priorities. Successful policy responses were based on the emerging data, medical advice and collaboration with a wider set of societal stakeholders beyond public health experts. For instance, experience in Aotearoa, New Zealand, highlights the importance of pandemic responses attuned to the needs of different sociocultural groups and Indigenous Peoples in particular. Their strengths-based COVID-19 response goes beyond identifying vulnerabilities to unlocking the resources, capabilities and potential that might otherwise be latent in communities . As far as the value of information for risk management is concerned, compared to the initial uncertainties regarding COVID-19, data about near- and longer-term climate-related hazards is generally very good; however, high-quality and dense meteorological data are often still lacking in lower income countries . Health data are particularly difficult to obtain in real time, as is the case for biodiversity data, which has a time lag of years before being made available and for which there is no coordinated monitoring, hampering effective risk management . Therefore, both epidemiological and meteorological forecasts would benefit from more focus on  decision support,  conveying uncertainty and  capturing vulnerability .
IPCC
Climate Change 2022: Impacts, Adaptation and Vulnerability
IPCC Report