Policy decision-makers have an urgent need for information on the impact of the COVID-19 disruptions on cancer outcomes - including the long term health impacts resulting from changes in cancer risk, disruptions in cancer screening, and disruptions or changes to cancer treatment. Data-driven modelling can provide information on longer term impacts and can also directly inform the design of fast-tracked innovative mitigation strategies (the pandemic ‘silver lining’). The talk will highlight the work of international modelling consortia including the COVID-19 and Cancer Global Modelling Consortium (CCGMC), a partnership between the International Agency for Research on Cancer, Cancer Council NSW, UICC, the Canadian Partnership Against Cancer and the International Cancer Screening Network. The CCGMC aims to bring together policy-makers, data custodians, clinicians, program management teams and modellers to facilitate access to centralised data sources and model platforms. This will facilitate best practice modelling to support decision-making in cancer control both during and after the crisis. As one example, the role of real time data systems and modelling to estimate crisis impact on plans for cervical cancer elimination both in Australia and globally will be discussed.