Keyrellous Adib
Dados Biográficos
| ID | 9798176 |
|---|---|
| NOME | Keyrellous Adib |
| PRENOMES | Keyrellous |
| SOBRENOME | Adib |
| ASSINATURA | ADIB K |
| AFILIAÇÕES | World Health Organization Regional Office for the Eastern Mediterranean |
| ORCID | 0000-0001-9995-8400 |
| VERIFICADO | Sim |
| TOTAL DE OBRAS | 4 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 4 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2020 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2025 |
| ÍNDICE H | 0 |
Responsible artificial intelligence in public health
INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, community engagement and infodemic management (RCCE-IM) to prepare for, manage and mitigate public health emergencies. As research on this crucial transformation remains limited, we conducted a modified Delphi study on the impact of AI on RCCE-IM. METHODS: In two successive surveys, 54 experts-scholars wi…
Epidemiological modelling in refugee and internally displaced people settlements
The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world’s most vulnerable populations at risk. Epidemiological modelling is vital to guiding evidence-informed or data-driven decision making. In forced displacement contexts, and in particular refugee and internally displaced people (IDP) settlements, it meets several chal…
A participatory modelling approach for investigating the spread of Covid-19 in countries of the Eastern Mediterranean Region to support public health decision-making
Early on in the COVID-19 pandemic, the WHO Eastern Mediterranean Regional Office recognised the importance of epidemiological modelling to forecast the progression of the COVID-19 pandemic to support decisions guiding the implementation of response measures. We established a modelling support team to facilitate the application of epidemiological modelling analyses in the Eastern Mediterranean Region (EMR) countries. Here, we present an innovative…
Modelling the Covid-19 pandemic in context
The SARS-CoV-2 pandemic has had an unprecedented impact on multiple levels of society. Not only has the pandemic completely overwhelmed some health systems but it has also changed how scientific evidence is shared and increased the pace at which such evidence is published and consumed, by scientists, policymakers and the wider public. More significantly, the pandemic has created tremendous challenges for decision-makers, who have had to implement…
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Modelling the Covid-19 pandemic in context
The SARS-CoV-2 pandemic has had an unprecedented impact on multiple levels of society. Not only has the pandemic completely overwhelmed some health systems but it has also changed how scientific evidence is shared and increased the pace at which such evidence is published and consumed, by scientists, policymakers and the wider public. More significantly, the pandemic has created tremendous challenges for decision-makers, who have had to implement…
A participatory modelling approach for investigating the spread of Covid-19 in countries of the Eastern Mediterranean Region to support public health decision-making
Early on in the COVID-19 pandemic, the WHO Eastern Mediterranean Regional Office recognised the importance of epidemiological modelling to forecast the progression of the COVID-19 pandemic to support decisions guiding the implementation of response measures. We established a modelling support team to facilitate the application of epidemiological modelling analyses in the Eastern Mediterranean Region (EMR) countries. Here, we present an innovative…
Epidemiological modelling in refugee and internally displaced people settlements
The spread of infectious diseases such as COVID-19 presents many challenges to healthcare systems and infrastructures across the world, exacerbating inequalities and leaving the world’s most vulnerable populations at risk. Epidemiological modelling is vital to guiding evidence-informed or data-driven decision making. In forced displacement contexts, and in particular refugee and internally displaced people (IDP) settlements, it meets several chal…
Responsible artificial intelligence in public health
INTRODUCTION: Artificial intelligence (AI) holds the potential to fundamentally transform how public health authorities use risk communication, community engagement and infodemic management (RCCE-IM) to prepare for, manage and mitigate public health emergencies. As research on this crucial transformation remains limited, we conducted a modified Delphi study on the impact of AI on RCCE-IM. METHODS: In two successive surveys, 54 experts-scholars wi…
Medicine (4 obras) · Political science (4 obras) · Public health (4 obras) · COVID-19 epidemiological studies (3 obras) · Geography (3 obras) · Pandemic (3 obras) · Public relations (3 obras) · Viral Infections and Outbreaks Research (3 obras) · Citizen journalism (2 obras) · Computer Science (2 obras)