Policy innovation and emergence of innovative health technology: The system dynamics modelling of early COVID-19 handling in Indonesia

Aminullah, Erman; Erman, Erwiza

doi:10.1016/j.techsoc.2021.101682

Cited by 26 publications

(23 citation statements)

References 32 publications

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“…Scott identified digital health technologies that can be implemented in the response and prevention of COVID-19, based on a review of relevant research literature and technology news, including telemedicine and mobile nursing (for COVID-19 and routine nursing), tiered telemonitoring, tele-critical care, robotics, and artificial intelligence for monitoring [ 47 ]. Aminullah studied the impact of policy innovation on the scale and speed of COVID-19 transmission by building a system dynamics model, and also studied the impact of the emergence of innovative health technologies, including medical devices, devices, drug development, and vaccines, on the health system in their research [ 48 ]. Magrabi reviewed existing health technology assessment methods and evaluated three digital health technologies for COVID-19 response, namely mature technologies, new technologies deployed on a large scale, and new technologies deployed on a small scale, based on their technology maturity and scale of implementation [ 49 ].…”

Section: Research Topics and Evolution Analysismentioning

confidence: 99%

Bibliometric Analysis of Health Technology Research: 1990~2020

Luo

et al. 2022

IJERPH

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This paper aims to summarize the publishing trends, current status, research topics, and frontier evolution trends of health technology between 1990 and 2020 through various bibliometric analysis methods. In total, 6663 articles retrieved from the Web of Science core database were analyzed by Vosviewer and CiteSpace software. This paper found that: (1) The number of publications in the field of health technology increased exponentially; (2) there is no stable core group of authors in this research field, and the influence of the publishing institutions and journals in China is insufficient compared with those in Europe and the United States; (3) there are 21 core research topics in the field of health technology research, and these research topics can be divided into four classes: hot spots, potential hot spots, margin topics, and mature topics. C21 (COVID-19 prevention) and C10 (digital health technology) are currently two emerging research topics. (4) The number of research frontiers has increased in the past five years (2016–2020), and the research directions have become more diverse; rehabilitation, pregnancy, e-health, m-health, machine learning, and patient engagement are the six latest research frontiers.

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Section: Research Topics and Evolution Analysismentioning

confidence: 99%

Bibliometric Analysis of Health Technology Research: 1990~2020

Luo

et al. 2022

IJERPH

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“…The mixing of public health decisions and economic interests makes it hard to put innovation policy into action. This leads to the development of new health technologies that require the health system to be improved [ 29 ]. Organizations in charge of health need to implement blockchain technology because the blockchain platform guarantees that no part of the information is changed, so the checks and results are true [ 30 ].…”

Section: Mathematical Models For Covid-19mentioning

confidence: 99%

Investigation of Factors Affecting COVID-19 and Sixth Wave Management Using a System Dynamics Approach

Safaie

Kaveie

Mardanian

et al. 2022

Journal of Healthcare Engineering

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The COVID-19 pandemic has plunged the world into a health and economic crisis never seen before since the Spanish flu pandemic in 1918. The closure of schools and universities, the banning of rallies, and other social distancing in countries have been done to disrupt the transmission of the virus. Governments have planned to reduce restrictions on corona management by implementing vaccination programs. This research aims to better understand the Coronavirus disease’s behavior, identify the prevalent factors, and adopt effective policies to control the pandemic. This study examines the different scenarios of releasing the constraints and returning to normal conditions before Corona to analyze the results of different scenarios to prevent the occurrence of subsequent peaks. The system dynamics approach is an effective means of studying COVID-19’s behavioral characteristics. The factors that affect Coronavirus disease outbreak and control by expanding the basic SEIR model, interventions, and policies, such as vaccination, were investigated in this research. Based on the obtained results, the most critical factor in reducing the prevalence of the disease is reducing the behavioral risks of people and increasing the vaccination process. Observance of hygienic principles leads to disruption of the transmission chain, and vaccination increases the immunity of individuals against the acute type of infection. In addition, the closure of businesses and educational centers, along with government support for incomes, effectively controls and reduces the pandemic, which requires cooperation between the people and the government. In a situation where a new type of corona has spread, if the implementation of the policy of reducing restrictions and reopening schools and universities is done without planning, it will cause a lot of people to suffer.

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“…For instance, system dynamics simulations have been conducted to provide insights into long-term COVID-19 pandemic outcomes in Malaysia (Salman et al, 2021 ). A study on the impact of policy innovation implications on health systems during early COVID-19 in Indonesia was conducted using a system dynamics simulation (Aminullah & Erman, 2021 ), and a qualitative study was conducted on the COVID-19 vaccination campaign in Kerala, India (Elias, 2021 ). However, there has not been much research using qualitative system dynamics modeling for COVID-19 vaccination campaigns in India.…”

Section: Introductionmentioning

confidence: 99%

Modeling a COVID-19 Vaccination Campaign in the State of Madhya Pradesh, India

Das

Shukla

Bhagwat

et al. 2022

Glob J Flex Syst Manag

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COVID-19 vaccination campaigns have been launched across the globe to mitigate the impact of the COVID-19 disease. However, COVID-19 vaccination campaigns (Vaccination campaigns are the complete process of COVID-19 vaccination campaigns beyond just administrating vaccines.) are a complex multi-stakeholder process, and therefore, it is important to understand the key components and drivers of vaccination campaigns to help devise strategies to increase vaccination coverage for existing and future vaccination efforts. A system dynamics modeling approach was used to trace the vaccination campaign for the Indian state of Madhya Pradesh. The results identified the key stakeholders of the vaccination campaign and their inter-linkages, and the diverse perspectives of stakeholders of vaccination campaigns in Madhya Pradesh were collated in a structured format. Further, system dynamics models were developed to capture all aspects of the vaccination campaign in Madhya Pradesh, including the challenges and innovations. The outcomes of the study can assist academicians, practitioners, and policymakers develop vaccination programs at sub-national, national, and global levels. They will guide decision-makers to take preemptive measures to mitigate possible risks and challenges and provide improved services as part of vaccination campaigns.

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Policy innovation and emergence of innovative health technology: The system dynamics modelling of early COVID-19 handling in Indonesia

Cited by 26 publications

References 32 publications

Bibliometric Analysis of Health Technology Research: 1990~2020

Bibliometric Analysis of Health Technology Research: 1990~2020

Investigation of Factors Affecting COVID-19 and Sixth Wave Management Using a System Dynamics Approach

Modeling a COVID-19 Vaccination Campaign in the State of Madhya Pradesh, India

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