Pandemic warning systems

Indonesia’s health systems work well at local level but cannot provide adequate nationwide pandemic warnings. For those, a new system is needed.

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Can we predict emerging diseases like we predict the weather?

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An interdisciplinary ‘One Health’ approach and strong decision-making are our best defence against the next zoonotic-disease outbreak.

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COVID-19 alerts and warnings can be better developed by bringing together lessons learned from natural hazards like volcanoes.

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Knowing when the hospital system could be overwhelmed is key to managing a pandemic. Finding the right predictor can save lives.

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Most infectious disease warning systems have been set up to fail as they focus on science, not people.

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AI filtering and analysis of open-source data could stop future epidemics from becoming global pandemics.

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More agile global governance of the pandemic response must be established while COVID-19 is still prominent.

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Social modelling to prepare for pandemics needs more emphasis on the social.

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Monitoring of wastewater and being alert to unusual cases could help shut pandemics down before they start.

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