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dc.date.accessioned2020-06-12T19:24:03Z
dc.date.available2020-06-12T19:24:03Z
dc.date.issued2020-06-12
dc.identifier.govdocPAHO/EIH/IS/COVID-19/20-0007
dc.identifier.urihttps://iris.paho.org/handle/10665.2/52276
dc.description.abstractIntroduction: A number of predictive models and forecasting exercises have been developed by various organizations, such as research groups, academic institutions, hospitals, and consulting companies, with the main aim to support health systems in with COVID-19 strategic decision making, planning, and health policy formulation that help in the fight against COVID19. Predictive models are helpful for estimating the number of COVID-19 cases and deaths; the resources required, e.g., such as hospital patient beds and ICU beds; and the demand for supplies, such as personal protective equipment (PPE). Because predictive models for COVID-19 must rely on a rapidly changing situation and underlying data, they produce results that may change repeatedly as data areas data is updated and revised. Nevertheless, the predictive models are meaningful and can offer crucial insights to policymakers. It is important that we understand the strengths and weaknesses of predictive models in order to use them judiciously as support and reference tools for COVID-19 planning and action.en_US
dc.language.isoenen_US
dc.publisherPAHOen_US
dc.rightsAttribution-NonCommercial-ShareAlike 3.0 IGO*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/3.0/igo/*
dc.subjectCOVID-19en_US
dc.subjectCoronavirusen_US
dc.subjectPandemicsen_US
dc.subjectHealth Information Systemsen_US
dc.subjectData Modelingen_US
dc.titleWhy Predictive Modeling is Critical in the Fight against COVID-19en_US
dc.typeFact sheetsen_US
dc.rights.holderPan American Health Organizationen_US
dc.contributor.corporatenamePan American Health Organizationen_US
paho.isfeatured0en_US
paho.publisher.countryUnited Statesen_US
paho.publisher.cityWashington, D.C.en_US
paho.source.centercodeUS1.1en_US
paho.relation.languageVersion10665.2/52440
paho.contributor.departmentEvidence and Intelligence for Action in Health (EIH)en_US
paho.iswhotranslationNoen_US


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This notice should be preserved along with the article's original URL.Attribution-NonCommercial-ShareAlike 3.0 IGO