Mental health: build predictive models to steer policy

Combine economic, social and medical data to forecast need and design services to address the growing crisis. Combine economic, social and medical data to forecast need and design services to address the growing crisis.

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Bibliographische Detailangaben
Veröffentlicht in:	Nature (London) 2021-09, Vol.597 (7878), p.633-636
Hauptverfasser:	Occhipinti, Jo-An, Skinner, Adam, Doraiswamy, P. Murali, Fox, Cameron, Herrman, Helen, Saxena, Shekhar, London, Elisha, Song, Yun Ju Christine, Hickie, Ian B.
Format:	Artikel
Sprache:	eng
Schlagworte:	692/699/476 692/700/478 706/648/453 Australia Children Comment Coronaviruses COVID-19 COVID-19 - psychology Data systems Developing countries Disease transmission Domestic violence Drug abuse Economic impact Economics Education Emergency medical care Employment Epidemics Health Policy High income Humanities and Social Sciences Humans Income Intervention Laws, regulations and rules LDCs Medical research Mental disorders Mental Health Mental health care Models, Theoretical multidisciplinary Pandemics Population Prediction models Psychiatric services Psychological aspects Public Health Risk analysis Risk factors Science Suicides & suicide attempts Trauma
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	Combine economic, social and medical data to forecast need and design services to address the growing crisis. Combine economic, social and medical data to forecast need and design services to address the growing crisis.
ISSN:	0028-0836 1476-4687
DOI:	10.1038/d41586-021-02581-9