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RECOLECCIÓN DE INFORMACIÓN / GOBERNANZA DE DATOS

¿Cómo desarrollar políticas y prácticas para una mejor recolección de datos epidemiológicos y para compartir datos con las autoridades apropiadas?

CONFERENCIA Participa
FOCO

Una recolección y diseminación de datos epidemiológicos lenta e inexacta reduce la eficiencia en la prevención y control de los brotes. El objetivo de esta sesión es identificar métodos innovadores y efectivos para recolectar datos epidemiológicos confiables de las instituciones e individuos que los ponen a disposición. Estamos buscando ejemplos concretos y específicos de prácticas responsables y efectivas de intercambio de datos sobre salud pública.

DESCRIPCIÓN DEL PROBLEMA

Los problemas fueron expuestos en un informe resumido con el objetivo de describir la causa del problema, los enfoques actuales en los diferentes países y las lecciones aprendidas de otros campos.

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RECOMMENDATIONS

Mobile tech–assisted surveillance

Improve the speed and reliability of surveillance data by integrating flexible mobile technologies like SMS and smartphone app reporting into surveillance activities

Timeframe
Resources: Moderate Investment ($100k-$500k)
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Resource Offset: mHealth technologies, including participatory digital surveillance and mobile-assisted case reporting, have the potential to expand surveillance at low cost compared to traditional methods. Investments in mobile devices and human resources can be offset by broad integration with other government activities like disaster response

Contacts

Gordon Cressman, RTI International, John Brownstein, Healthmap, Harvard Medical School, Brian Lee, U.S. Centers for Disease Control Health Information Innovation Consortium

Form disease surveillance data collaborative

Collaborate with companies and universities to identify new sources of disease surveillance data

Timeframe
Resources: Some Investment ($10k-$100k)
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Resource Offset: Data collaboratives are, by definition, corporate data philanthropy

Contacts

Richard Benjamins, Director of External Positioning & Big Data for Social Good, LUCA: Data-Driven Decisions (Telefonica), Stefaan Verhulst, GovLab

Develop data-sharing playbook

Promote openness and participation in surveillance data collection, storage, sharing, and use by developing a data governance playbook for epidemic response and building broad commitment to use it

Timeframe
Resources: Moderate Investment ($100k-$500k)
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Resource Offset: More open and participatory surveillance data can generate cost savings through faster and more accurate epidemic detection and modeling. In addition, insights generated from data sharing can lead to more efficient use of public health resources

Contacts

Michael Johansson, U.S Centers for Disease Control