Successfully Implementing Digital Health to Ensure Future Global Health Security During Pandemics: A Consensus Statement.

Importance: COVID-19 has highlighted widespread chronic underinvestment in digital health that hampered public health responses to the pandemic. Recognizing this, the Riyadh Declaration on Digital Health, formulated by an international interdisciplinary team of medical, academic, and industry experts at the Riyadh Global Digital Health Summit in August 2020, provided a set of digital health recommendations for the global health community to address the challenges of current and future pandemics. However, guidance is needed on how to implement these recommendations in practice. Objective: To develop guidance for stakeholders on how best to deploy digital health and data and support public health in an integrated manner to overcome the COVID-19 pandemic and future pandemics. Evidence Review: Themes were determined by first reviewing the literature and Riyadh Global Digital Health Summit conference proceedings, with experts independently contributing ideas. Then, 2 rounds of review were conducted until all experts agreed on the themes and main issues arising using a nominal group technique to reach consensus. Prioritization was based on how useful the consensus recommendation might be to a policy maker. Findings: A diverse stakeholder group of 13 leaders in the fields of public health, digital health, and health care were engaged to reach a consensus on how to implement digital health recommendations to address the challenges of current and future pandemics. Participants reached a consensus on high-priority issues identified within 5 themes: team, transparency and trust, technology, techquity (the strategic development and deployment of technology in health care and health to achieve health equity), and transformation. Each theme contains concrete points of consensus to guide the local, national, and international adoption of digital health to address challenges of current and future pandemics. Conclusions and Relevance: The consensus points described for these themes provide a roadmap for the implementation of digital health policy by all stakeholders, including governments. Implementation of these recommendations could have a significant impact by reducing fatalities and uniting countries on current and future battles against pandemics.

Modelling the evolution of the coronavirus disease (COVID-19) in Saudi Arabia.

INTRODUCTION: The ongoing COVID-19 pandemic has claimed hundreds of thousands of lives around the world. Health planners are seeking ways to forecast the evolution of the pandemic. In this study, a mathematical model was proposed for Saudi Arabia, the country with the highest reported number of COVID-19 cases in the Arab world. METHODOLOGY: The proposed model was adapted from the model used for the Middle East respiratory syndrome outbreak in South Korea. Using time-dependent parameters, the model incorporated the effects of both population-wide self-protective measures and government actions. Data before and after the government imposed control policies on 3 March 2020 were used to validate the model. Predictions for the disease's progression were provided together with the evaluation of the effectiveness of the mitigation measures implemented by the government and self-protective measures taken by the population. RESULTS: The model predicted that, if the government had continued to implement its strong control measures, then the scale of the pandemic would have decreased by 99% by the end of June 2020. Under the current relaxed policies, the model predicted that the scale of the pandemic will have decreased by 99% by 10 August 2020. The error between the model's predictions and actual data was less than 6.5%. CONCLUSIONS: Although the proposed model did not capture all of the effects of human behaviors and government actions, it was validated as a result of its time-dependent parameters. The model's accuracy indicates that it can be used by public health policymakers.

Infection prevention and control (IPC) implementation in low-resource settings: a qualitative analysis.

BACKGROUND: The coronavirus disease-2019 (COVID-19) pandemic has again demonstrated the critical role of effective infection prevention and control (IPC) implementation to combat infectious disease threats. Standards such as the World Health Organization (WHO) IPC minimum requirements offer a basis, but robust evidence on effective IPC implementation strategies in low-resource settings remains limited. We aimed to qualitatively assess IPC implementation themes in these settings. METHODS: Semi-structured interviews were conducted with IPC experts from low-resource settings, guided by a standardised questionnaire. Applying a qualitative inductive thematic analysis, IPC implementation examples from interview transcripts were coded, collated into sub-themes, grouped again into broad themes, and finally reviewed to ensure validity. Sub-themes appearing ≥ 3 times in data were highlighted as frequent IPC implementation themes and all findings were summarised descriptively. RESULTS: Interviews were conducted with IPC experts from 29 countries in six WHO regions. Frequent IPC implementation themes including the related critical actions to achieve the WHO IPC core components included: (1) To develop IPC programmes: continuous advocacy with leadership, initial external technical assistance, stepwise approach to build resources, use of catalysts, linkages with other programmes, role of national IPC associations and normative legal actions; (2) To develop guidelines: early planning for their operationalization, initial external technical assistance and local guideline adaption; (3) To establish training: attention to methods, fostering local leadership, and sustainable health system linkages such as developing an IPC career path; (4) To establish health care-associated (HAI) surveillance: feasible but high-impact pilots, multidisciplinary collaboration, mentorship, careful consideration of definitions and data quality, and "data for action"; (5) To implement multimodal strategies: clear communication to explain multimodal strategies, attention to certain elements, and feasible but high-impact pilots; (6) To develop monitoring, audit and feedback: feasible but high-impact pilots, attention to methods such as positive (not punitive) incentives and "data for action"; (7) To improve staffing and bed occupancy: participation of national actors to set standards and attention to methods such as use of data; and (8) To promote built environment: involvement of IPC professionals in facility construction, attention to multimodal strategy elements, and long-term advocacy. CONCLUSIONS: These IPC implementation themes offer important qualitative evidence for IPC professionals to consider.

Adequate measures to prevent medical personnel from contracting COVID-19 should be promptly implemented: support from numerous agencies is needed.

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[Assessment model for evaluating the preparedness plan for COVID-19 in a tertiary care hospital]. / Modelo de evaluación del plan de respuesta frente a la pandemia de COVID-19 en un hospital de tercer nivel.

BACKGROUND AND PURPOSE: During the first wave of the epidemic caused by SARS-CoV-2, hospitals have come under significant pressure. This scenario of uncertainty, low scientific evidence, and insufficient resources, has generated significant variability in practice between different health organisations. In this context, it is proposed to develop a standards-based model for the evaluation of the preparedness and response system against COVID-19 in a tertiary hospital. MATERIALS AND METHODS: The study, carried out at the University Hospital of Vall d'Hebron in Barcelona (Spain), was designed in two phases: 1) development of the standards-based model, by means of a narrative review of the literature, analysis of plans and protocols implemented in the hospital, a review process by expert professionals from the centre, and plan of action, and 2) validation of usability and usefulness of the model through self-assessment and hospital audit. RESULTS: The model contains 208 standards distributed into nine criteria: leadership and strategy; prevention and infection control; management of professionals and skills; public areas; healthcare areas; areas of support for diagnosis and treatment; logistics, technology and works; communication and patient care; and information and research systems. The evaluation achieved 85.2% compliance, with 42 areas for improvement and 96 good practices identified. CONCLUSIONS: Implementing a standards-based model is a useful tool to identify areas for improvement and good practices in COVID-19 preparedness and response plans in a hospital. In the current context, it is recommended to repeat this methodology in other non-hospital and public health settings.

Predicting the number of reported and unreported cases for the COVID-19 epidemics in China, South Korea, Italy, France, Germany and United Kingdom.

We model the COVID-19 coronavirus epidemics in China, South Korea, Italy, France, Germany and the United Kingdom. We identify the early phase of the epidemics, when the number of cases grows exponentially, before government implementation of major control measures. We identify the next phase of the epidemics, when these social measures result in a time-dependent exponentially decreasing number of cases. We use reported case data, both asymptomatic and symptomatic, to model the transmission dynamics. We also incorporate into the transmission dynamics unreported cases. We construct our models with comprehensive consideration of the identification of model parameters. A key feature of our model is the evaluation of the timing and magnitude of implementation of major public policies restricting social movement. We project forward in time the development of the epidemics in these countries based on our model analysis.