The Use of Public Health Grid Technology in the United States Centers for Disease Control and Prevention H1N1 Pandemic Response

Boyd, Terry; Savel, Thomas G.; Kesarinath, Gautam; Lee, Brian; Stinn, John

doi:10.1109/waina.2010.60

Cited by 9 publications

(7 citation statements)

References 3 publications

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“…This is no trivial task. Indeed, previous research on pandemics and epidemics suggests that a policy that is effective in one context may be ineffective in another due to a whole host of potentially conditioning factors, including the pathogenesis of the particular disease 12,13 , the characteristics of the underlying population [14][15][16][17] and the available medical 18,19 and communication [20][21][22][23] technology at the time.…”

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confidence: 99%

COVID-19 Government Response Event Dataset (CoronaNet v.1.0)

et al. 2020

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Governments worldwide have implemented countless policies in response to the COVID-19 pandemic. We present an initial public release of a large hand-coded dataset of over 13,000 such policy announcements across more than 195 countries. The dataset is updated daily, with a 5-day lag for validity checking. We document policies across numerous dimensions, including the type of policy, national versus subnational enforcement, the specific human group and geographical region targeted by the policy, and the time frame within which each policy is implemented. We further analyse the dataset using a Bayesian measurement model, which shows the quick acceleration of the adoption of costly policies across countries beginning in mid-March 2020 through 24 May 2020. We believe that these data will be instrumental for helping policymakers and researchers assess, among other objectives, how effective different policies are in addressing the spread and health outcomes of COVID-19.

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confidence: 99%

COVID-19 Government Response Event Dataset (CoronaNet v.1.0)

et al. 2020

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“…The different types and sources of knowledge varied across studies, with many studies describing the exchange of multiple types of knowledge. The majority of studies (n = 70) described the exchange of research evidence and data [24,26,[31][32][33][34]36…”

Section: Ke Mechanisms and Activitiesmentioning

confidence: 99%

Knowledge exchange in crisis settings: A scoping review

et al. 2023

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Background Public health practice and efforts to improve the social determinants of health operate within a climate characterised by multiple and intersecting crises. This includes the Covid-19 pandemic as well as more protracted crises such as climate change and persistent social inequalities that impact health. We sought to understand and compare how knowledge exchange (KE) processes occur across different crises, and how knowledge on improving social determinants of health can be utilised at times of crisis to reduce health inequalities and strengthen public systems. Methods We conducted a scoping review to understand how KE on improving social determinants of health can occur across different types of crises (e.g. environmental, pandemics, humanitarian). Relevant studies were identified through electronic searching of Medline, EMBASE, Global Health, Scopus and Web of Science databases. Results We identified 86 studies for inclusion in the review. Most studies concerned pandemic or environmental crises. Fewer studies explored KE during technical (e.g. nuclear), terror-related or humanitarian crises. This may reflect a limitation of the searches. Few studies assessed KE as part of longer-term responses to social and economic impacts of crises, with studies more likely to focus on immediate response or early recovery stages. Exchange of research evidence or data with policy or practice contextual knowledge was common but there was variation in the extent that lay (public) knowledge was included as part of KE processes. Conclusion As ongoing crises continue with significant public health implications, KE processes should appropriately reflect the complexity inherent in crises and foreground health inequalities. Doing so could include the utilisation of systems or complexity-informed methods to support planning and evaluation of KE, a greater focus on KE to support action to address social determinants of health, and the inclusion of a plurality of knowledge–including lived experience–in planning and responding to crises.

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“…Health care information exchange between health care institutions plays an important role during pandemics and disasters [20][21][22][23][24]. In Korea, where the population has high accessibility to health care resources due to the national health insurance program, any patient can visit any hospital.…”

Section: Role Of Health Care Information Exchange In the Pandemic Eramentioning

confidence: 99%

Information Technology–Based Management of Clinically Healthy COVID-19 Patients: Lessons From a Living and Treatment Support Center Operated by Seoul National University Hospital

Bae¹,

Kim²,

Choi³

et al. 2020

J Med Internet Res

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Background South Korea took preemptive action against coronavirus disease (COVID-19) by implementing extensive testing, thorough epidemiological investigation, strict social distancing, and rapid treatment of patients according to disease severity. The Korean government entrusted large-scale hospitals with the operation of living and treatment support centers (LTSCs) for the management for clinically healthy COVID-19 patients. Objective The aim of this paper is to introduce our experience implementing information and communications technology (ICT)-based remote patient management systems at a COVID-19 LTSC. Methods We adopted new electronic health record templates, hospital information system (HIS) dashboards, cloud-based medical image sharing, a mobile app, and smart vital sign monitoring devices. Results Enhancements were made to the HIS to assist in the workflow and care of patients in the LTSC. A dashboard was created for the medical staff to view the vital signs and symptoms of all patients. Patients used a mobile app to consult with their physician or nurse, answer questionnaires, and input self-measured vital signs; the results were uploaded to the hospital information system in real time. Cloud-based image sharing enabled interoperability between medical institutions. Korea’s strategy of aggressive mitigation has “flattened the curve” of the rate of infection. A multidisciplinary approach was integral to develop systems supporting patient care and management at the living and treatment support center as quickly as possible. Conclusions Faced with a novel infectious disease, we describe the implementation and experience of applying an ICT-based patient management system in the LTSC affiliated with Seoul National University Hospital. ICT-based tools and applications are increasingly important in health care, and we hope that our experience will provide insight into future technology-based infectious disease responses.

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The Use of Public Health Grid Technology in the United States Centers for Disease Control and Prevention H1N1 Pandemic Response

Cited by 9 publications

References 3 publications

COVID-19 Government Response Event Dataset (CoronaNet v.1.0)

COVID-19 Government Response Event Dataset (CoronaNet v.1.0)

Knowledge exchange in crisis settings: A scoping review

Information Technology–Based Management of Clinically Healthy COVID-19 Patients: Lessons From a Living and Treatment Support Center Operated by Seoul National University Hospital

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