Kenya's experience implementing event-based surveillance during the COVID-19 pandemic
© Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ..
Event-based surveillance (EBS) can be implemented in most settings for the detection of potential health threats by recognition and immediate reporting of predefined signals. Such a system complements existing case-based and sentinel surveillance systems. With the emergence of the COVID-19 pandemic in early 2020, the Kenya Ministry of Health (MOH) modified and expanded an EBS system in both community and health facility settings for the reporting of COVID-19-related signals. Using an electronic reporting tool, m-Dharura, MOH recorded 8790 signals reported, with 3002 (34.2%) verified as events, across both community and health facility sites from March 2020 to June 2021. A subsequent evaluation found that the EBS system was flexible enough to incorporate the addition of COVID-19-related signals during a pandemic and maintain high rates of reporting from participants. Inadequate resources for follow-up investigations to reported events, lack of supportive supervision for some community health volunteers and lack of data system interoperability were identified as challenges to be addressed as the EBS system in Kenya continues to expand to additional jurisdictions.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:8 |
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| Enthalten in: |
BMJ global health - 8(2023), 12 vom: 18. Dez. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Ndegwa, Linus [VerfasserIn] |
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| Anmerkungen: |
Date Completed 21.12.2023 Date Revised 29.02.2024 published: Electronic Citation Status MEDLINE |
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| doi: |
10.1136/bmjgh-2023-013736 |
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| Förderinstitution / Projekttitel: |
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| 520 | |a © Author(s) (or their employer(s)) 2023. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. | ||
| 520 | |a Event-based surveillance (EBS) can be implemented in most settings for the detection of potential health threats by recognition and immediate reporting of predefined signals. Such a system complements existing case-based and sentinel surveillance systems. With the emergence of the COVID-19 pandemic in early 2020, the Kenya Ministry of Health (MOH) modified and expanded an EBS system in both community and health facility settings for the reporting of COVID-19-related signals. Using an electronic reporting tool, m-Dharura, MOH recorded 8790 signals reported, with 3002 (34.2%) verified as events, across both community and health facility sites from March 2020 to June 2021. A subsequent evaluation found that the EBS system was flexible enough to incorporate the addition of COVID-19-related signals during a pandemic and maintain high rates of reporting from participants. Inadequate resources for follow-up investigations to reported events, lack of supportive supervision for some community health volunteers and lack of data system interoperability were identified as challenges to be addressed as the EBS system in Kenya continues to expand to additional jurisdictions | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Epidemiology | |
| 650 | 4 | |a Kenya | |
| 650 | 4 | |a Public Health | |
| 700 | 1 | |a Ngere, Philip |e verfasserin |4 aut | |
| 700 | 1 | |a Makayotto, Lyndah |e verfasserin |4 aut | |
| 700 | 1 | |a Patel, Neha N |e verfasserin |4 aut | |
| 700 | 1 | |a Nzisa, Liku |e verfasserin |4 aut | |
| 700 | 1 | |a Otieno, Nancy |e verfasserin |4 aut | |
| 700 | 1 | |a Osoro, Eric |e verfasserin |4 aut | |
| 700 | 1 | |a Oreri, Eunice |e verfasserin |4 aut | |
| 700 | 1 | |a Kiptoo, Elizabeth |e verfasserin |4 aut | |
| 700 | 1 | |a Maigua, Susan |e verfasserin |4 aut | |
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| 700 | 1 | |a Arunmozhi Balajee, S |e verfasserin |4 aut | |
| 700 | 1 | |a Munyua, Peninah |e verfasserin |4 aut | |
| 700 | 1 | |a Herman-Roloff, Amy |e verfasserin |4 aut | |
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