Data flows during public health emergencies in LMICs : A people-centered mapping of data flows during the 2018 ebola epidemic in Equateur, DRC
Copyright © 2022. Published by Elsevier Ltd..
In infectious outbreaks, rapid case detection and reporting, coordination, and context-specific strategies are needed for rapid containment. Data sharing between actors, and the speed and content of data flows, is essential for expediting epidemic response. In this study, researchers mapped data flows during the 2018 Ebola Virus Disease (EVD) outbreak in Equateur Province in the Democratic Republic of the Congo using semi-structured interviews, ethnographic research, and focus groups with EVD response actors. During this research, we mapped and tracked data collection, transmission, storage, sharing, and use patterns. Target participants included: key organizational actors in the EVD outbreaks responses, including local (primary health, community-based, hospital), provincial (MoPH, DRC Red Cross), and international (WHO, UN organizations, international first-responders) stakeholders. We found that a community-based surveillance system enabled the rapid detection of a hemorrhagic fever outbreak, resulting in the rapid laboratory confirmation of EVD. With the arrival of international organizations to provide support to the EVD response, routine surveillance systems continued to function robustly. However, the establishment of a vertical EVD response architecture created challenges for the response. Data flows during the Equateur outbreak were hampered by numerous challenges in the domains of early warning, line lists of cases, and contact tracing, which impeded surveillance and data flows. We therefore argue that structuring health information systems for preparedness requires taking a person-centered approach to data production, flow, and analysis.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:318 |
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| Enthalten in: |
Social science & medicine (1982) - 318(2023) vom: 02. Feb., Seite 115116 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Abramowitz, Sharon [VerfasserIn] |
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| Links: |
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| Themen: |
Community |
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| Anmerkungen: |
Date Completed 23.01.2023 Date Revised 24.03.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1016/j.socscimed.2022.115116 |
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| funding: |
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| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a Copyright © 2022. Published by Elsevier Ltd. | ||
| 520 | |a In infectious outbreaks, rapid case detection and reporting, coordination, and context-specific strategies are needed for rapid containment. Data sharing between actors, and the speed and content of data flows, is essential for expediting epidemic response. In this study, researchers mapped data flows during the 2018 Ebola Virus Disease (EVD) outbreak in Equateur Province in the Democratic Republic of the Congo using semi-structured interviews, ethnographic research, and focus groups with EVD response actors. During this research, we mapped and tracked data collection, transmission, storage, sharing, and use patterns. Target participants included: key organizational actors in the EVD outbreaks responses, including local (primary health, community-based, hospital), provincial (MoPH, DRC Red Cross), and international (WHO, UN organizations, international first-responders) stakeholders. We found that a community-based surveillance system enabled the rapid detection of a hemorrhagic fever outbreak, resulting in the rapid laboratory confirmation of EVD. With the arrival of international organizations to provide support to the EVD response, routine surveillance systems continued to function robustly. However, the establishment of a vertical EVD response architecture created challenges for the response. Data flows during the Equateur outbreak were hampered by numerous challenges in the domains of early warning, line lists of cases, and contact tracing, which impeded surveillance and data flows. We therefore argue that structuring health information systems for preparedness requires taking a person-centered approach to data production, flow, and analysis | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Community | |
| 650 | 4 | |a DRC | |
| 650 | 4 | |a Data flows | |
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| 700 | 1 | |a Stevens, Lys Alcayna |e verfasserin |4 aut | |
| 700 | 1 | |a Kyomba, Gabriel |e verfasserin |4 aut | |
| 700 | 1 | |a Mayaka, Serge |e verfasserin |4 aut | |
| 700 | 1 | |a Grépin, Karen A |e verfasserin |4 aut | |
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