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WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts

BACKGROUND: Globally, since 1 January 2020 and as of 24 January 2023, there have been over 664 million cases of COVID-19 and over 6.7 million deaths reported to WHO. WHO developed an evidence-based alert system, assessing public health risk on a weekly basis in 237 countries, territories and areas f...

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Autores principales: McMenamin, Martina, Kolmer, Jessica, Djordjevic, Irena, Campbell, Finlay, Laurenson-Schafer, Henry, Abbate, Jessica Lee, Abdelgawad, Basma Mostafa, Babu, Amarnath, Balde, Thierno, Batra, Neale, Bélorgeot, Victoria D, Brindle, Hannah, Dorji, Tshewang, Esmail, Marjam, Hammermeister Nezu, Ingrid, Hernández-García, Lucía, Hassan, Mahmoud, Idoko, Friday, Karmin, Sarah, Kassamali, Zyleen A, Kato, Masaya, Matsui, Tamano, Duan, Mengjuan, Motaze, Villyen, Ogundiran, Opeayo, Pavlin, Boris I, Riviere-Cinnamond, Ana, Ryan, Kathleen, Schmidt, Tanja, Sedai, Tika, Van Kerkhove, Maria D, Zakaria, Teresa, Höhle, Michael, Mahamud, Abdi R, le Polain de Waroux, Olivier
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373705/
https://www.ncbi.nlm.nih.gov/pubmed/37495371
http://dx.doi.org/10.1136/bmjgh-2023-012241
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author McMenamin, Martina
Kolmer, Jessica
Djordjevic, Irena
Campbell, Finlay
Laurenson-Schafer, Henry
Abbate, Jessica Lee
Abdelgawad, Basma Mostafa
Babu, Amarnath
Balde, Thierno
Batra, Neale
Bélorgeot, Victoria D
Brindle, Hannah
Dorji, Tshewang
Esmail, Marjam
Hammermeister Nezu, Ingrid
Hernández-García, Lucía
Hassan, Mahmoud
Idoko, Friday
Karmin, Sarah
Kassamali, Zyleen A
Kato, Masaya
Matsui, Tamano
Duan, Mengjuan
Motaze, Villyen
Ogundiran, Opeayo
Pavlin, Boris I
Riviere-Cinnamond, Ana
Ryan, Kathleen
Schmidt, Tanja
Sedai, Tika
Van Kerkhove, Maria D
Zakaria, Teresa
Höhle, Michael
Mahamud, Abdi R
le Polain de Waroux, Olivier
author_facet McMenamin, Martina
Kolmer, Jessica
Djordjevic, Irena
Campbell, Finlay
Laurenson-Schafer, Henry
Abbate, Jessica Lee
Abdelgawad, Basma Mostafa
Babu, Amarnath
Balde, Thierno
Batra, Neale
Bélorgeot, Victoria D
Brindle, Hannah
Dorji, Tshewang
Esmail, Marjam
Hammermeister Nezu, Ingrid
Hernández-García, Lucía
Hassan, Mahmoud
Idoko, Friday
Karmin, Sarah
Kassamali, Zyleen A
Kato, Masaya
Matsui, Tamano
Duan, Mengjuan
Motaze, Villyen
Ogundiran, Opeayo
Pavlin, Boris I
Riviere-Cinnamond, Ana
Ryan, Kathleen
Schmidt, Tanja
Sedai, Tika
Van Kerkhove, Maria D
Zakaria, Teresa
Höhle, Michael
Mahamud, Abdi R
le Polain de Waroux, Olivier
author_sort McMenamin, Martina
collection PubMed
description BACKGROUND: Globally, since 1 January 2020 and as of 24 January 2023, there have been over 664 million cases of COVID-19 and over 6.7 million deaths reported to WHO. WHO developed an evidence-based alert system, assessing public health risk on a weekly basis in 237 countries, territories and areas from May 2021 to June 2022. This aimed to facilitate the early identification of situations where healthcare capacity may become overstretched. METHODS: The process involved a three-stage mixed methods approach. In the first stage, future deaths were predicted from the time series of reported cases and deaths to produce an initial alert level. In the second stage, this alert level was adjusted by incorporating a range of contextual indicators and accounting for the quality of information available using a Bayes classifier. In the third stage, countries with an alert level of ‘High’ or above were added to an operational watchlist and assistance was deployed as needed. RESULTS: Since June 2021, the system has supported the release of more than US$27 million from WHO emergency funding, over 450 000 rapid antigen diagnostic testing kits and over 6000 oxygen concentrators. Retrospective evaluation indicated that the first two stages were needed to maximise sensitivity, where 44% (IQR 29%–67%) of weekly watchlist alerts would not have been identified using only reported cases and deaths. The alerts were timely and valid in most cases; however, this could only be assessed on a non-representative sample of countries with hospitalisation data available. CONCLUSIONS: The system provided a standardised approach to monitor the pandemic at the country level by incorporating all available data on epidemiological analytics and contextual assessments. While this system was developed for COVID-19, a similar system could be used for future outbreaks and emergencies, with necessary adjustments to parameters and indicators.
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spelling pubmed-103737052023-07-28 WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts McMenamin, Martina Kolmer, Jessica Djordjevic, Irena Campbell, Finlay Laurenson-Schafer, Henry Abbate, Jessica Lee Abdelgawad, Basma Mostafa Babu, Amarnath Balde, Thierno Batra, Neale Bélorgeot, Victoria D Brindle, Hannah Dorji, Tshewang Esmail, Marjam Hammermeister Nezu, Ingrid Hernández-García, Lucía Hassan, Mahmoud Idoko, Friday Karmin, Sarah Kassamali, Zyleen A Kato, Masaya Matsui, Tamano Duan, Mengjuan Motaze, Villyen Ogundiran, Opeayo Pavlin, Boris I Riviere-Cinnamond, Ana Ryan, Kathleen Schmidt, Tanja Sedai, Tika Van Kerkhove, Maria D Zakaria, Teresa Höhle, Michael Mahamud, Abdi R le Polain de Waroux, Olivier BMJ Glob Health Original Research BACKGROUND: Globally, since 1 January 2020 and as of 24 January 2023, there have been over 664 million cases of COVID-19 and over 6.7 million deaths reported to WHO. WHO developed an evidence-based alert system, assessing public health risk on a weekly basis in 237 countries, territories and areas from May 2021 to June 2022. This aimed to facilitate the early identification of situations where healthcare capacity may become overstretched. METHODS: The process involved a three-stage mixed methods approach. In the first stage, future deaths were predicted from the time series of reported cases and deaths to produce an initial alert level. In the second stage, this alert level was adjusted by incorporating a range of contextual indicators and accounting for the quality of information available using a Bayes classifier. In the third stage, countries with an alert level of ‘High’ or above were added to an operational watchlist and assistance was deployed as needed. RESULTS: Since June 2021, the system has supported the release of more than US$27 million from WHO emergency funding, over 450 000 rapid antigen diagnostic testing kits and over 6000 oxygen concentrators. Retrospective evaluation indicated that the first two stages were needed to maximise sensitivity, where 44% (IQR 29%–67%) of weekly watchlist alerts would not have been identified using only reported cases and deaths. The alerts were timely and valid in most cases; however, this could only be assessed on a non-representative sample of countries with hospitalisation data available. CONCLUSIONS: The system provided a standardised approach to monitor the pandemic at the country level by incorporating all available data on epidemiological analytics and contextual assessments. While this system was developed for COVID-19, a similar system could be used for future outbreaks and emergencies, with necessary adjustments to parameters and indicators. BMJ Publishing Group 2023-07-26 /pmc/articles/PMC10373705/ /pubmed/37495371 http://dx.doi.org/10.1136/bmjgh-2023-012241 Text en © World Health Organization 2023. Licensee BMJ. https://creativecommons.org/licenses/by/3.0/igo/This is an open access article distributed under the terms of the Creative Commons Attribution IGO License (CC BY 3.0 IGO (https://creativecommons.org/licenses/by/3.0/igo/) ), which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. In any reproduction of this article there should not be any suggestion that WHO or this article endorse any specific organization or products. The use of the WHO logo is not permitted. This notice should be preserved along with the article’s original URL.
spellingShingle Original Research
McMenamin, Martina
Kolmer, Jessica
Djordjevic, Irena
Campbell, Finlay
Laurenson-Schafer, Henry
Abbate, Jessica Lee
Abdelgawad, Basma Mostafa
Babu, Amarnath
Balde, Thierno
Batra, Neale
Bélorgeot, Victoria D
Brindle, Hannah
Dorji, Tshewang
Esmail, Marjam
Hammermeister Nezu, Ingrid
Hernández-García, Lucía
Hassan, Mahmoud
Idoko, Friday
Karmin, Sarah
Kassamali, Zyleen A
Kato, Masaya
Matsui, Tamano
Duan, Mengjuan
Motaze, Villyen
Ogundiran, Opeayo
Pavlin, Boris I
Riviere-Cinnamond, Ana
Ryan, Kathleen
Schmidt, Tanja
Sedai, Tika
Van Kerkhove, Maria D
Zakaria, Teresa
Höhle, Michael
Mahamud, Abdi R
le Polain de Waroux, Olivier
WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts
title WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts
title_full WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts
title_fullStr WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts
title_full_unstemmed WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts
title_short WHO Global Situational Alert System: a mixed methods multistage approach to identify country-level COVID-19 alerts
title_sort who global situational alert system: a mixed methods multistage approach to identify country-level covid-19 alerts
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10373705/
https://www.ncbi.nlm.nih.gov/pubmed/37495371
http://dx.doi.org/10.1136/bmjgh-2023-012241
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