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Why Data Disaggregation is key during a pandemic
| dc.date.accessioned | 2020 | |
| dc.date.available | 2020 | |
| dc.date.issued | 2020 | |
| dc.identifier.govdoc | PAHO/EIH/IS/COVID-19/20-0026 | |
| dc.identifier.uri | https://iris.paho.org/handle/10665.2/52002 | |
| dc.description.abstract | Data Disaggregation is the separation of compiled information into smaller units to elucidate underlying trends and patterns. High quality, accessible, trusted, timely, open, and reliable disaggregated data is critical to generating valuable information for decision-making in real time. | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | PAHO | en_US |
| dc.relation.ispartofseries | Digital Transformation Toolkit | |
| dc.subject | COVID-19 | en_US |
| dc.subject | Coronavirus | en_US |
| dc.subject | Pandemics | en_US |
| dc.subject | Digital Health | |
| dc.title | Why Data Disaggregation is key during a pandemic | en_US |
| dc.type | Fact sheets | en_US |
| dc.rights.holder | Pan American Health Organization | en_US |
| dc.contributor.corporatename | Pan American Health Organization | en_US |
| dc.description.notes | Series: Digital Transformation Toolkit. Knowledge Tools; 5. | |
| paho.isfeatured | 0 | en_US |
| paho.publisher.country | United States | en_US |
| paho.publisher.city | Washington, D.C. | en_US |
| paho.source.centercode | US1.1 | en_US |
| paho.relation.languageVersion | 10665.2/52072 | |
| paho.relation.languageVersion | 10665.2/52073 | |
| paho.contributor.department | Evidence and Intelligence for Action in Health (EIH) | |
| paho.iswhotranslation | No | en_US |
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