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01.12.2015 | Debate | Ausgabe 1/2015 Open Access

BMC Public Health 1/2015

Beyond crystal balls: crosscutting solutions in global health to prepare for an unpredictable future

Zeitschrift:
BMC Public Health > Ausgabe 1/2015
Autoren:
Wladimir Jimenez Alonso, Benjamin Joseph James McCormick, Mark A. Miller, Cynthia Schuck-Paim, Ghassem R. Asrar
Wichtige Hinweise

Competing interests

The authors declare that they have no competing interests.

Authors’ contributions

WJA and BJJM conceived of the idea and drafted the manuscript with CSP. WJA, BM, CSP, GRA and MAM contributed to conceptual discussions and wrote the manuscript. All authors read and approved the final manuscript.

Authors’ information

Not Applicable

Availability of data and materials

Not Applicable

Abstract

Background

Efforts in global heath need to deal not only with current challenges, but also to anticipate new scenarios, which sometimes unfold at lightning speed. Predictive modeling is frequently used to assist planning, but outcomes depend heavily on a subset of critical assumptions, which are mostly hampered by our limited knowledge about the many factors, mechanisms and relationships that determine the dynamics of disease systems, by a lack of data to parameterize and validate models, and by uncertainties about future scenarios.

Discussion

We propose a shift from a focus on the prediction of individual disease patterns to the identification and mitigation of broader fragilities in public health systems. Modeling capabilities should be used to perform “stress tests” on how interrelated fragilities respond when faced with a range of possible or plausible threats of different nature and intensity. This system should be able to reveal crosscutting solutions with the potential to address not only one threat, but multiple areas of vulnerability to future health risks.

Summary

Actionable knowledge not based on a narrow subset of threats and conditions can better guide policy, build societal resilience and ensure effective prevention in an uncertain world.
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