Policy Decisions and Use of Information Technology to Fight COVID-19, Taiwan

Establishment of national standards of SARS-CoV-2 variants in Taiwan

Objectives

In response to the pandemic, the Taiwan Food and Drug Administration (TFDA) established an initial SARS-CoV-2 RNA national standard based on the original Wuhan strain. However, with the depletion of the first national standard and continued mutation of the virus, the establishment of new national standards was imminent.

Methods

Hence, new candidate national standards were established by heat-inactivation for 30 min for six representative strains of SARS-CoV-2, comprising the original strain and five variants with anticipated concentrations of 7.70 Log10 international units (IU)/mL each. To enhance the credibility of these national standards, the TFDA extended invitations to both domestic and international institutions to participate in a collaborative study. A total of eight participants contributed eleven datasets, incorporating two methods and targeting four distinct genes.

Results

Based on these collective findings, the quantified viral RNA concentrations for each SARS-CoV-2 national standard strain are 7.69, 7.70, 7.69, 7.44, 7.52, and 7.29 Log10 IU/mL with Wuhan, alpha, beta, gamma, delta, and omicron strain, respectively.

Conclusions

These newly established national standards will continue to be made available to the industry, serving as a fundamental reference for the development and quality control of nucleic acid in vitro diagnostic (IVD) reagents in Taiwan.

Information and health literacy policies during pandemics: A narrative review

BACKGROUND

The COVID-19 pandemic has compelled governments globally to formulate policies addressing the unique needs of their populations. These policies are critical in disseminating accurate information and enhancing health literacy during crises.

OBJECTIVE

This narrative review aims to identify and assess effective information and health literacy policies implemented during pandemics.

METHODS

A comprehensive literature search was performed across five electronic information sources (PubMed, Science Direct, ProQuest, Emerald Insight, Scopus), supplemented by Google Scholar. The analysis employed Walt and Gilson's health policy triangle framework to categorize and evaluate the findings.

RESULTS

The review revealed that the policies could be grouped into several key categories: educational programs, laws and regulations, knowledge sharing, national programs, and different information sources. The development of these policies involved multifaceted processes influenced by political, scientific, economic, cultural and social factors, as well as the involvement of multiple stakeholders.

CONCLUSIONS

This review offers significant insights and actionable recommendations for policymakers and stakeholders. By understanding the dimensions and components of effective information and health literacy policies, stakeholders can better prepare for and respond to future pandemics and similar health crises.

Short- and Long-Term Predicted and Witnessed Consequences of Digital Surveillance During the COVID-19 Pandemic: Scoping Review

BACKGROUND

The COVID-19 pandemic has prompted the deployment of digital technologies for public health surveillance globally. The rapid development and use of these technologies have curtailed opportunities to fully consider their potential impacts (eg, for human rights, civil liberties, privacy, and marginalization of vulnerable groups).

OBJECTIVE

We conducted a scoping review of peer-reviewed and gray literature to identify the types and applications of digital technologies used for surveillance during the COVID-19 pandemic and the predicted and witnessed consequences of digital surveillance.

METHODS

Our methodology was informed by the 5-stage methodological framework to guide scoping reviews: identifying the research question; identifying relevant studies; study selection; charting the data; and collating, summarizing, and reporting the findings. We conducted a search of peer-reviewed and gray literature published between December 1, 2019, and December 31, 2020. We focused on the first year of the pandemic to provide a snapshot of the questions, concerns, findings, and discussions emerging from peer-reviewed and gray literature during this pivotal first year of the pandemic. Our review followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews) reporting guidelines.

RESULTS

We reviewed a total of 147 peer-reviewed and 79 gray literature publications. Based on our analysis of these publications, we identified a total of 90 countries and regions where digital technologies were used for public health surveillance during the COVID-19 pandemic. Some of the most frequently used technologies included mobile phone apps, location-tracking technologies, drones, temperature-scanning technologies, and wearable devices. We also found that the literature raised concerns regarding the implications of digital surveillance in relation to data security and privacy, function creep and mission creep, private sector involvement in surveillance, human rights, civil liberties, and impacts on marginalized groups. Finally, we identified recommendations for ethical digital technology design and use, including proportionality, transparency, purpose limitation, protecting privacy and security, and accountability.

CONCLUSIONS

A wide range of digital technologies was used worldwide to support public health surveillance during the COVID-19 pandemic. The findings of our analysis highlight the importance of considering short- and long-term consequences of digital surveillance not only during the COVID-19 pandemic but also for future public health crises. These findings also demonstrate the ways in which digital surveillance has rendered visible the shifting and blurred boundaries between public health surveillance and other forms of surveillance, particularly given the ubiquitous nature of digital surveillance.

INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID)

RR2-https://doi.org/10.1136/bmjopen-2021-053962.

Impact of COVID-19 on pediatric surgical practice in Taiwan: a comprehensive analysis

Background

The COVID-19 pandemic has profoundly impacted global healthcare systems, causing significant disruptions in various medical practices. This study focuses on the specific effects of the pandemic on pediatric surgical practice in Taiwan, a region known for its effective public health measures and proximity to the initial outbreak.

Methods

The study analyzes data from January 2020 to August 2022, comparing it with historical records from January 2017 to August 2019. It examines changes in surgical case volumes, patient demographics, surgical indications, and trends in preoperative evaluations, surgical procedures, and postoperative care.

Results

The study reveals a decrease in total surgical cases from 2,255 to 1,931 during the pandemic. Notable findings include a slight increase in the average age of patients (4.81 to 5.10 years, p = 0.064), a significant shift in gender distribution towards male patients (68.9% to 73.5%, p = 0.0009), and changes in the types of surgical procedures performed, with head and neck and gastrointestinal surgeries seeing an increase. The average hospital stay lengthened, and certain specific surgical diseases, like hypospadias and liver tumors, showed an increase. However, the age distribution of pediatric surgical patients remained stable, and emergency surgical care was resiliently maintained.

Discussion

The findings demonstrate the adaptability of Taiwan's healthcare system in maintaining pediatric surgical care during the pandemic. The study highlights a significant gender disparity in surgical interventions and a shift towards more urgent and emergent care, reflecting the reorganization of healthcare services during this period. The study's limitations include its retrospective nature and focus on a single institution.

Conclusion

This research contributes valuable insights into the impact of the COVID-19 pandemic on pediatric surgical practice in Taiwan. It underscores the importance of adaptable healthcare strategies in ensuring continuity and quality of care during public health emergencies. Future research should focus on multi-institutional data and prospective studies to further understand these dynamics.

Investigation of the Correlation between Enterovirus Infection and the Climate Factor Complex Including the Ping-Year Factor and El Niño-Southern Oscillation in Taiwan

Enterovirus infection and enterovirus infection with severe complications (EVSC) are critical issues in several aspects. However, there is no suitable predictive tool for these infections. A climate factor complex (CFC) containing several climate factors could provide more effective predictions. The ping-year factor (PYF) and El Niño-Southern Oscillation (ENSO) are possible CFCs. This study aimed to determine the relationship between these two CFCs and the incidence of enterovirus infection. Children aged 15 years and younger with enterovirus infection and/or EVSC were enrolled between 2007 and 2022. Each year was categorized into a ping-year or non-ping-year according to the PYF. Poisson regression was used to evaluate the associations between the PYF, ENSO, and the incidence of enterovirus infection. Compared to the ping-year group, the incidence rate of enterovirus infection, the incidence rate of EVSC, and the ratio of EVSC in the non-ping-year group were 1.24, 3.38, and 2.73 times higher, respectively (p < 0.001). For every one-unit increase in La Niña, the incidence rate of enterovirus infection decreased to 0.96 times (p < 0.001). Our study indicated that CFCs could be potential predictors for enterovirus infection, and the PYF was more suitable than ENSO. Further research is needed to improve the predictive model.

Insisting on help, facing challenges, and maintaining balance: The lived experiences of caregivers raising a child with developmental delay in the remote islands of Kinmen

PURPOSE

To explore the lived experiences of the caregivers of children with developmental delay (DD) on the remote island of Kinmen, Taiwan.

DESIGN AND METHODS

This descriptive phenomenological study included 14 caregivers of 16 children with DD recruited from Kinmen, Taiwan. Data were collected from September 2020 to February 2021 with face-to-face semi-structured interviews, which were transcribed verbatim and analyzed using thematic analysis.

RESULTS

Twelve caregivers were mothers; there was one father and one grandmother. Their mean age was 37.93 ± 5.17 years. The mean age of the children was 3.90 ± 1.49 years; 11 were male (69%). As we began our study, the COVID-19 pandemic occurred, which influenced two of the three themes: (1) focusing on their child's delayed development, which involved seeking a diagnosis and blaming themselves; (2) facing barriers to caring a child with DD on a remote island, which included ostracization of their child and limited off-island medical resources, especially during COVID-19; and (3) maintaining a healthy life balance, which involved protecting their child from physical or spiritual harm, including exposure to COVID-19, and reflecting on their strengths.

CONCLUSIONS

Our findings highlight the challenges of caring for a child with DD in the Kinmen islands of Taiwan, and the impact of the COVID-19 pandemic.

PRACTICAL IMPLICATIONS

Healthcare professionals are encouraged to provide caregivers of children with DD living in remote, island communities an opportunity to share their caregiving experiences and provide strategies for obtaining medical care, which could help reduce caregiver burden.

COVID-19 public health surveillance and response in Taiwan: From containment to mitigation

Taiwan learned from its 2003 SARS experience and established multiple surveillance systems to be able to detect and respond to COVID-19. With the find, test, trace, isolate, and support (FTTIS) strategy, Taiwan was successful in containing SARS-CoV-2 from spreading for two years. During the surge of the Omicron variant in the community, COVID-19 control strategy shifted from containment to mitigation in April 2022, to reduce morbidity and mortality. Lessons learned from COVID-19 response re-emphasizes the importance of having sensitive public health surveillance and linking surveillance with public health actions.

Early Prompt Response to COVID-19 in Taiwan: Comprehensive surveillance, decisive border control, and information technology support

Since the COVID-19 outbreak was detected in Wuhan in December 2019 by the event-based surveillance of Taiwan Centers for Disease Control, Taiwan has been aligning risk management to policy planning with the assistance of comprehensive surveillance and regular rapid risk assessments. Taiwan Central Epidemic Command Center (CECC) promptly initiated stepwise border control for major cities and provinces in China, European and American countries, and eventually expanded it to the whole world in March 2020. With stringent quarantine measures, the early response not only successfully blocked the first wave of imported cases, but also slowed down subsequent large local outbreaks. Digital technologies including digital fencing and government database linkage were adopted to facilitate the application of public health interventions and data collection. The experience of Taiwan's prompt and comprehensive response at the early stage may contribute to the preparedness for the next disease X outbreak.

Emergence and Persistent Dominance of SARS-CoV-2 Omicron BA.2.3.7 Variant, Taiwan

Since April 2022, waves of SARS-CoV-2 Omicron variant cases have surfaced in Taiwan and spread throughout the island. Using high-throughput sequencing of the SARS-CoV-2 genome, we analyzed 2,405 PCR-positive swab samples from 2,339 persons and identified the Omicron BA.2.3.7 variant as a major lineage within recent community outbreaks in Taiwan.

Investigating influencing factors for ICT adoption that changes travel behavior in response to the COVID-19 outbreak in Indonesia

Mobility and out-of-home activities restrictions from the COVID-19 pandemic have forced people to maximize their in-home activities. Considering the increase in Information and Communication Technology (ICT) adoption during the outbreak, this paper tries to shed light on the factors that influence changing travel behavior. For these purposes, the study uses data collected through an online questionnaire during the outbreak in Indonesia, which was then analyzed using cluster and discriminant analyses. The study found that online adaptation during the outbreak was affected by income level, whereby high-income individuals are associated with high online adaptation. Residential location also influences ICT adaptation during the outbreak. Cities with higher access to the internet and ICT platforms as well as higher income per capita tend to have higher ICT adoption. People with more experience with online platforms or services also record higher online in-home activity adoption during the outbreak. Furthermore, while the lower-income group tends to reduce their travel, the higher-income group still continues to travel to fulfil their household needs during the outbreak, such as in-store shopping. Since the lower-income group and less accessible areas tend to have difficulty in accessing ICT as a substitute for travel, this study recommends that the government and ICT stakeholders ensure equal access to ICT to support physical distancing and to limit mobility in order to flatten the peak of the pandemic.

Global border restrictions in 2020-2021: Adherence and the effectiveness in long-term COVID-19 epidemic control

BACKGROUND

Restrictions on international travel were widely applied to contain cross-border COVID-19 diffusion, while such applications varied globally, and little was known about their impacts on the long-term epidemic progression.

METHODS

We explored the global diversity in maintaining border policies classified to four levels (screening, quarantine, ban on regions and total border closure) using data of 185 countries and regions between 01 January 2020 to 31 December 2021. By using Ordinary least squares (OLS) regression and quantile regression (QR) models, we examined the relationship between total COVID-19 incidence and the cumulative duration of each policy level in 2020-2021, and the heterogeneity of such association across different transmission severity countries.

RESULTS

Firstly, "ban on regions" was the most durable policy applied in high-income countries, while in low-income countries, less stringent measures of screening and quarantine arrivals were applied the longest. Secondly, the cumulatively longer maintenance of the border quarantine was significantly associated with lower infections (log) in COVID-19 high-prevalent countries (75th QR, coefficient estimates [β] = -0.0038, 95% confidence interval: -0.0066 to -0.0010). By contrast, in medium and high transmission severity countries, those with longer duration of imposing bans on regions showed no suppressing effects but significantly higher COVID-19 incidence (OLS regression, β = 0.0028, 95% CI: 0.0009-0.0047; 75th QR, β = 0.0039, 95% CI: 0.0014-0.0063). No other significant results were found.

CONCLUSION

From the long-term perspective, inbound quarantine was effective in mitigating severe epidemics. However, in countries with medium or high COVID-19 prevalence, our findings of ban on regions highlighted its ineffectiveness in the long-term epidemic progression.

A Cross-National Study of Fear Appeal Messages in YouTube Trending Videos About COVID-19

The COVID-19 pandemic has underlined the need for investigating the prevalence and nature of health communication on social media. Applying the Extended Parallel Process Model, this study analyzes the use of fear appeals in 2,152 YouTube trending videos across six countries (the United States, Brazil, Russia, Taiwan, Canada, and New Zealand) from January to May 2020. The findings reveal that, during the early stage of the outbreak, COVID-19-themed videos gained early attention in Taiwan but encountered a prolonged delay in the United States and Brazil. Specifically, COVID-19 videos featured the least in Brazil’s trending list. The results from a supervised machine learning coding approach further suggest that videos’ threat levels exceeded efficacy beliefs across all countries. This imbalance of threat–efficacy messages was most significant in hard-hit countries Brazil and Russia, which social media may run the risk of feeding fear to the public agenda. These findings alert content creators and social media platforms to create a threat–efficacy equilibrium, prioritizing content that promotes a sense of self- and community efficacy and increases people’s belief that effective protective actions are available.

Three Cities on YouTube

Local governments are enhancing their governance through various information communication technologies (ICTs). This article presents an exploratory case study of three municipalities within the United States, examining how each applies YouTube for communication. Using content analysis and selected statistical tests of mean difference, the authors analyzed the videos uploaded between January 2020 to August 2020. The three municipalities used YouTube to document policymaking, publicize programs and services, update critical information during times of crises, and, in some cases, create unique brand images. The average number of views per video were similar across the three YouTube channels. However, one of the municipalities received a statistically significant number of average likes per video, which spotlights its positive brand image. In conclusion, the authors suggest directions for future research and recommend practices for social media adaptation in government.

Outcome prediction in hospitalized COVID-19 patients: Comparison of the performance of five severity scores

Background

The aim of our study was to externally validate the predictive capability of five developed coronavirus disease 2019 (COVID-19)-specific prognostic tools, including the COVID-19 Spanish Society of Infectious Diseases and Clinical Microbiology (SEIMC), Shang COVID severity score, COVID-intubation risk score-neutrophil/lymphocyte ratio (IRS-NLR), inflammation-based score, and ventilation in COVID estimator (VICE) score.

Methods

The medical records of all patients hospitalized for a laboratory-confirmed COVID-19 diagnosis between May 2021 and June 2021 were retrospectively analyzed. Data were extracted within the first 24 h of admission, and five different scores were calculated. The primary and secondary outcomes were 30-day mortality and mechanical ventilation, respectively.

Results

A total of 285 patients were enrolled in our cohort. Sixty-five patients (22.8%) were intubated with ventilator support, and the 30-day mortality rate was 8.8%. The Shang COVID severity score had the highest numerical area under the receiver operator characteristic (AUC-ROC) (AUC 0.836) curve to predict 30-day mortality, followed by the SEIMC score (AUC 0.807) and VICE score (AUC 0.804). For intubation, both the VICE and COVID-IRS-NLR scores had the highest AUC (AUC 0.82) compared to the inflammation-based score (AUC 0.69). The 30-day mortality increased steadily according to higher Shang COVID severity scores and SEIMC scores. The intubation rate exceeded 50% in the patients stratified by higher VICE scores and COVID-IRS-NLR score quintiles.

Conclusion

The discriminative performances of the SEIMC score and Shang COVID severity score are good for predicting the 30-day mortality of hospitalized COVID-19 patients. The COVID-IRS-NLR and VICE showed good performance for predicting invasive mechanical ventilation (IMV).

The self-care process of community-dwelling older adults during the COVID-19 pandemic

OBJECTIVES

to understand the self-care process of community-dwelling older adults during the COVID-19 pandemic.

METHODS

this is an explanatory study with a qualitative approach based on the constructivist Grounded Theory, carried out with 18 community-dwelling older adults. Data collection took place through interviews and content was analyzed through initial and focused coding.

RESULTS

two categories were obtained: "Building connections to support self-care practices" and "Living with the risk group stigma". From their interaction, the phenomenon "Performing self-care in old age during the COVID-19 pandemic" emerged.

FINAL CONSIDERATIONS

it was possible to identify how older adults' experiences curing the COVID-19 pandemic had repercussions on their self-care process, being influenced by factors such as information about the disease and the impacts of risk group stigmas.

O processo de autocuidado de idosos comunitários no contexto da pandemia de COVID-19

RESUMO Objetivos: compreender o processo de autocuidado dos idosos da comunidade no contexto da pandemia de COVID-19. Métodos: trata-se de um estudo explicativo de abordagem qualitativa, com referencial da Teoria Fundamentada nos Dados construtivista, realizada com 18 idosos comunitários. A coleta de dados ocorreu através de entrevistas, e o conteúdo foi analisado por meio da codificação inicial e focalizada. Resultados: foram obtidas duas categorias: “Estabelecendo conexões para apoiar práticas de autocuidado” e “Convivendo com o estigma de grupo de risco”. A partir da interação dessas, emergiu o fenômeno “Exercendo o autocuidado na terceira idade no contexto da pandemia de COVID-19”. Considerações Finais: foi possível identificar como as vivências dos idosos no período de pandemia de COVID-19 repercutiram no seu processo de autocuidado, sendo influenciados por fatores, como informações sobre a doença e os impactos dos estigmas do grupo risco.

Use of digital technologies for public health surveillance during the COVID-19 pandemic: A scoping review

Throughout the COVID-19 pandemic, a variety of digital technologies have been leveraged for public health surveillance worldwide. However, concerns remain around the rapid development and deployment of digital technologies, how these technologies have been used, and their efficacy in supporting public health goals. Following the five-stage scoping review framework, we conducted a scoping review of the peer-reviewed and grey literature to identify the types and nature of digital technologies used for surveillance during the COVID-19 pandemic and the success of these measures. We conducted a search of the peer-reviewed and grey literature published between 1 December 2019 and 31 December 2020 to provide a snapshot of questions, concerns, discussions, and findings emerging at this pivotal time. A total of 147 peer-reviewed and 79 grey literature publications reporting on digital technology use for surveillance across 90 countries and regions were retained for analysis. The most frequently used technologies included mobile phone devices and applications, location tracking technologies, drones, temperature scanning technologies, and wearable devices. The utility of digital technologies for public health surveillance was impacted by factors including uptake of digital technologies across targeted populations, technological capacity and errors, scope, validity and accuracy of data, guiding legal frameworks, and infrastructure to support technology use. Our findings raise important questions around the value of digital surveillance for public health and how to ensure successful use of technologies while mitigating potential harms not only in the context of the COVID-19 pandemic, but also during other infectious disease outbreaks, epidemics, and pandemics.

The outbreak of COVID-19 in Taiwan in late spring 2021: combinations of specific weather conditions and related factors

This study aimed to investigate the impact of weather conditions on the daily incidence of the COVID-19 pandemic in late spring 2021 in Taiwan, which is unlike the weather conditions of the COVID-19 outbreak in 2020. Meteorological parameters such as maximum daily temperature, relative humidity, and wind speed were included. The Spearman rank correlation test was used to evaluate the relationship between weather and daily domestic COVID-19 cases. The maximum daily temperature had a positively significant correlation with daily new COVID-19 cases within a 14-day lag period, while the relative humidity and wind speed has a fairly high correlation with the number of daily cases within a 13- and 14-day lag, respectively. In addition, the weather characteristics during this period were an increasingly high temperature, with steady high relative humidity and slightly decreasing wind speed. Our study revealed the weather conditions at the time of the domestic outbreak of COVID-19 in Taiwan in May 2021 and the possible association between weather factors and the COVID-19 pandemic. Further large-scale analysis of weather factors is essential for understanding the impact of weather on the spread of infectious diseases.

From bureaucratic administration to effective intervention: Comparing early governmental responses to the COVID-19 virus across East Asian and western health systems

The outbreak of COVID-19 in early 2020 created dangerous public health conditions which pressured governments and health systems to respond in a rapid and effective manner. However, this type of rapid response required many governments to bypass standing; bureaucratic structures of health sector administration and political governance to quickly take; essential measures against a rapidly evolving public health threat. Each government’s particular; configuration of governmental and health system decision-making created specific structural and functional challenges to these necessary centrally developed and coordinated strategies. Most East Asian governments (except Japan) succeeded relatively quickly in centralizing essential disease control and treatment initiatives in a timely manner. In contrast, a number of European countries, especially those with predominantly tax-based financing and politically managed health delivery systems, had greater difficulty in escaping bureaucratic governance and management constraints. Drawing on data about these governments’ early stage COVID-19 control experiences, this article suggests that structural changes will be necessary if low-performing governments are to better respond to a pandemic. This paper also summarizes other relatively successful strategies. By adopting such strategies, nations can help overcome structural bureaucratic and administrative obstacles in responding to further waves of COVID-19 or similar future pandemic events.

Adoption of modern technologies for implementing industry 4.0: an integrated MCDM approach

Purpose

Modern technologies are seen as an essential component of the fourth industrial revolution (industry 4.0) and their adoption is vital to transform the existing manufacturing system into industry 4.0-based manufacturing system. Therefore, the primary objective of this research explores the barriers of modern technology adoption and their mitigating solutions in order to align with Industry 4.0 objectives.

Design/methodology/approach

Barriers to adopting modern technologies and respective mitigating solutions are identified from the available literature. Further, these barriers are ranked with the help of expert opinions by using the BWM method appropriately. The identified solutions are ranked using the combined compromise solution (CoCoSo) method.

Findings

Several modern technologies and their capabilities are recognised to support the industry 4.0-based manufacturing systems. This study identifies 22 barriers to the effective adoption of modern technologies in manufacturing and 14 solutions to overcome these barriers. Change management, the high initial cost of technology and appropriate support infrastructure are the most significant barriers. The most prominent solutions to overcome the most considerable barriers are ‘supportive research, development and commercialisation environment’, ‘updated policy and effective implementation’ and ‘capacity building through training’ that are the top three solutions that need to be addressed.

Research limitations/implications

The barriers and solutions of modern technology adoption are obtained through a comprehensive literature review, so there is a chance to ignore some significant barriers and their solutions. Furthermore, ranking barriers and solutions is done with expert opinion, which is not free from biases.

Practical implications

This identification and prioritisation of barriers will help managers to understand the barriers so they can better prepare themselves. Furthermore, the suggested solutions to overcome these barriers are helpful for the managers and could be strategically adopted through optimal resource utilisation.

Originality/value

This study proposes a framework to identify and analyse the significant barriers and solutions to adopting modern technologies in the manufacturing system. It might be helpful for manufacturing organisations that are willing to transform their manufacturing system into industry 4.0.

Modeling Key Strategies for Reducing Socio-Economic and Health Crisis: Perspective from COVID-19 Pandemic

The pandemic outbreak has dramatically changed every sector and walk of life. Specifically, the developing countries with scarce resources are facing unprecedented crises that further jeopardize efforts to achieve sustainable life. Considering the case of a developing country, Pakistan, this study empirically identifies the most important strategies to reduce the socio-economic and health challenges during COVID-19. Initially, the study identified 14 key strategies from the prior literature. Later, these strategies were determined with the help of the interpretive structural modeling (ISM) approach through expert suggestions. The ISM model represents seven levels of pandemic containment strategies based on their significance level. The strategies existing at the top level of ISM model are the least important, while the strategies at the bottom of hierarchy levels are highly significant. Therefore, the study results demonstrated that "strong leadership and control" and "awareness on social media" play significant roles in reducing pandemic challenges, while "promoting online purchase behavior" and "online education" are the least important strategies in tackling pandemic crisis. This study will benefit government authorities and policymakers, enabling them to focus more on significant measures in battling this ongoing crisis.

Using the Kano model to associate the number of confirmed cases of COVID-19 in a population of 100,000 with case fatality rates: An observational study

BACKGROUND

An important factor in understanding the spread of COVID-19 is the case fatality rate (CFR) for each county. However, many of research reported CFRs on total confirmed cases (TCCs) rather than per 100,000 people. The disparate definitions of CFR in COVID-19 result in inconsistent results. It remains uncertain whether the incident rate and CFR can be compared to identify countries affected by COVID-19 that are under (or out of) control. This study aims to develop a diagram for dispersing TCC and CFR on a population of 100,000 (namely, TCC100 and CFR100) using the Kano model, to examine selected countries/regions that have successfully implemented preventative measures to keep COVID-19 under control, and to design an app displaying TCC100 and CFR100 for all infected countries/regions.

METHODS

Data regarding confirmed cases and deaths of COVID-19 in countries/regions were downloaded daily from the GitHub website. For each country/region, 3 values (TCC100, CFR100, and CFR) were calculated and displayed on the Kano diagram. The lower TCC100 and CFR values indicated that the COVID-19 situation was more under control. The app was developed to display both CFR100/CFR against TCC100 on Google Maps.

RESULTS

Based on 286 countries/regions, the correlation coefficient (CC) between TCC100 and CFR100 was 0.51 (t = 9.76) in comparison to TCC100 and CFR with CC = 0.02 (t = 0.3). As a result of the traditional scatter plot using CFR and TCC100, Andorra was found to have the highest CFR100 (=6.62%), TCC100 (=935.74), and CFR (=5.1%), but lower CFR than New York (CFR = 7.4%) and the UK (CFR = 13.5%). There were 3 representative countries/regions that were compared: Taiwan [TCC100 (=1.65), CFR100 (=2.17), CFR (=1%)], South Korea [TCC100 (=20.34), CFR100 (=39.8), CFR (=2%), and Vietnam [TCC100 (=0.26), CFR100 (=0), CFR (=0%)].

CONCLUSION

A Kano diagram was drawn to compare TCC100 against CFT (or CFR100) to gain a better understanding of COVID-19. There is a strong association between a higher TCC100 value and a higher CFR100 value. A dashboard was developed to display both CFR100/CFR against TCC100 for countries/regions.

IoT Adoption and Application for Smart Healthcare: A Systematic Review

In general, the adoption of IoT applications among end users in healthcare is very low. Healthcare professionals present major challenges to the successful implementation of IoT for providing healthcare services. Many studies have offered important insights into IoT adoption in healthcare. Nevertheless, there is still a need to thoroughly review the effective factors of IoT adoption in a systematic manner. The purpose of this study is to accumulate existing knowledge about the factors that influence medical professionals to adopt IoT applications in the healthcare sector. This study reviews, compiles, analyzes, and systematically synthesizes the relevant data. This review employs both automatic and manual search methods to collect relevant studies from 2015 to 2021. A systematic search of the articles was carried out on nine major scientific databases: Google Scholar, Science Direct, Emerald, Wiley, PubMed, Springer, MDPI, IEEE, and Scopus. A total of 22 articles were selected as per the inclusion criteria. The findings show that TAM, TPB, TRA, and UTAUT theories are the most widely used adoption theories in these studies. Furthermore, the main perceived adoption factors of IoT applications in healthcare at the individual level are: social influence, attitude, and personal inattentiveness. The IoT adoption factors at the technology level are perceived usefulness, perceived ease of use, performance expectancy, and effort expectations. In addition, the main factor at the security level is perceived privacy risk. Furthermore, at the health level, the main factors are perceived severity and perceived health risk, respectively. Moreover, financial cost, and facilitating conditions are considered as the main factors at the environmental level. Physicians, patients, and health workers were among the participants who were involved in the included publications. Various types of IoT applications in existing studies are as follows: a wearable device, monitoring devices, rehabilitation devices, telehealth, behavior modification, smart city, and smart home. Most of the studies about IoT adoption were conducted in France and Pakistan in the year 2020. This systematic review identifies the essential factors that enable an understanding of the barriers and possibilities for healthcare providers to implement IoT applications. Finally, the expected influence of COVID-19 on IoT adoption in healthcare was evaluated in this study.

Comparing stress and behavioral coping strategies during the early stages of the COVID-19 crisis among domestic and overseas Taiwanese

This study reported domestic and overseas Taiwanese people's perceived stress levels and examined the mediation effect of their coping strategies during the early stages of the COVID-19 pandemic. We recruited 2727 Taiwanese respondents from the COVIDiSTRESS Global Survey (N = 173,426) between March 30 and May 30, 2020. The self-report questionnaire included a modified 10-item Perceived Stress Scale and a 16-item coping strategy scale. Three stress-coping factors were extracted with principal component analysis and confirmatory factor analysis. Their effects were examined through a regression and mediation analysis. The overseas Taiwanese participants had a significantly higher stress level than domestic counterparts (2.89 to 2.69 in 1-5 scale, p < 0.001). Government guidance was associated with lower stress level among domestic (- 0.097, 95% C.I. [- 0.131, - 0.063]) but not overseas Taiwanese (0.025, [- 0.114, 0.163]). The association of stress level with residency was mediated by coping strategies, for government guidance (0.04, [0.01, 0.07], ref: domestic participants) and supportive social networks (- 0.03, [- 0.05, - 0.01]). All results hold after the propensity score matching on samples. Government guidance on COVID-19 as a channel for coping with stress is correlated with the residency status of the respondents. Public health authorities should recognize the importance of various mental health interventions during pandemics.

Respiratory etiological surveillance among quarantined patients with suspected lower respiratory tract infection at a medical center in southern Taiwan during COVID-19 pandemic

Background

A comprehensive study of respiratory pathogens was conducted in an area with a low prevalence of COVID-19 among the adults quarantined at a tertiary hospital.

Methods

From March to May 2020, 201 patients suspected lower respiratory tract infection (LRTI) were surveyed for etiologies by multiplex polymerase chain reaction (PCR: FilmArray TM Respiratory Panel) test combination with cultural method, viral antigen detection and serologic surveys.

Results

Total 201 patients tested with FilmArray TM Respiratory Panel were enrolled, of which 68.2% had sputum bacterial culture, 86.1% had pneumococcus and Legionella urine antigen test. Their median age was 72.0 year-old with multiple comorbidities, and 11.4% were nursing home residents. Bacteria accounted for 59.7% of identified pathogens. Atypical pathogens were identified in 31.3% of total pathogens, of which viruses accounted for 23.9%. In comparison to patients with bacterial infection, patients with atypical pathogens were younger (median= 77.2 vs 67.1, years, P = 0.017) and had shorter length of hospital (8.0 vs 4.5, days, P = 0.007).

Conclusions

Patients with LRTI caused by atypical pathogens was indistinguishable from those with bacterial pathogens by clinical manifestations or biomarkers. Multiplex PCR providing rapid diagnosis of atypical pathogens enhance patient care and decision making when rate of sputum culture sampling was low in quarantine ward during pandemic.

Toward a Historical Sociology of COVID-19: Path Dependence Method and Temporal Connections

Encountering the unprecedented social crisis of COVID-19, an increasing number of sociologists are calling for historical sociology to engage empirically with the dynamics of the COVID-19 crisis. I present the "path dependence method" and the "temporal connections" to interpret social life during the COVID-19 pandemic. By using the path dependence method, I show how the personal, social, and national problems created by the COVID-19 crisis initiate a new path and furthermore how this newly created path is justified in a society. Through the temporal connections, I will show how non-Western countries responded more reasonably and quickly than most Western countries to the COVID-19 crisis. The overall aim of this research is to disclose effectiveness of historical sociology, to encourage researchers to think time variable, and to argue that linking historical-sociological knowledge to the COVID-19 crisis would be a positive step for an in-depth COVID-19 sociology.

The impact of the COVID-19 pandemic on O-D flow and airport networks in the origin country and in Northeast Asia

The ongoing COVID-19 pandemic has posed a global threat to human health. In order to prevent the spread of this virus, many countries have imposed travel restrictions. This difficult situation has dramatically affected the airline industry by reducing the passenger volume, number of flights, airline flow patterns, and even has changed the entire airport network, especially in Northeast Asia (because it includes the original disease seed). However, although most scholars have used conventional statistical analysis to describe the changes in passenger volume before and during the COVID-19 outbreak, very few of them have applied statistical assessment or time series analysis, and have not even examined how the impact may be different from place to place. Therefore, the purpose of this study was to identify the impact of COVID-19 on the airline industry and affected areas (including the origin-destination flow and the airport network). First, a Clustering Large Applications (CLARA) algorithm was used to group numerous origin-destination (O-D) flow patterns based on their characteristics and to determine if these characteristics have changed the severity of the impact of each cluster during the COVID-19 outbreak. Second, two statistical tests (the paired t-test and the Wilcoxon signed-rank test) were utilized to determine if the entire airport network and the top 30 hub airports changed during COVID-19. Four centrality measurement indices (degree, closeness, eigenvector, and betweenness centrality) of the airports were used to assess the entire network and ranking of individual hub airports. The study data, provided by The Official Aviation Guide (OAG) from December 2019 to April 2020, indicated that during the COVID-19 outbreak, there was a decrease in passenger volume (60%-98.4%) as well as the number of flights (1.5%-82.6%). However, there were no such significant changes regarding the popularity ranking of most airports during the outbreak. Before this occurred (December 2019), most hub airports were in China (April 2020), and this trend remain similar during the COVID-19 outbreak. However, the values of the centrality measurement decreased significantly for most hub airports due to travel restrictions issued by the government.

Effect of the COVID-19 Pandemic on Emergency Department Visits of Patients with an Emergent or Urgent Diagnosis

Purpose

During the coronavirus disease 2019 (COVID-19) pandemic, visits to emergency department (ED) have significantly declined worldwide. The purpose of this study was to identify the trend of visits to ED for different diseases at the peak and slack stages of the epidemic.

Patients and Methods

This was a retrospective observational study conducted in a tertiary referral medical center in northern Taiwan. We recorded weekly ED visits for myocardial infarction with or without ST-elevation (STEMI or NSTEMI), out-of-hospital cardiac arrest (OHCA), acute stroke, and congestive heart failure from 2016 to 2021. We compared the local epidemic peak periods (calendar weeks 4–18, 2020 and calendar weeks 21–31, 2021) and its corresponding slack periods (calendar weeks 4–18, 2021 and calendar weeks 21–31, 2020) with the baseline period (2016–2019) using Mann–Whitney test to identify the difference.

Results

We observed a significant decline in ED visits (median [Q1, Q3]) during the epidemic for OHCA (6 [5, 7] and 5 [4, 6], p = 0.046, for baseline and peak period, respectively, in week 4–18), acute stroke (41.5 [38, 47] and 35 [28, 39], p < 0.001, in week 4–18, 40 [35, 45] and 35 [28, 40], p = 0.039, in week 21–31) and CHF (28 [24.25, 33] and 19 [12, 23], p < 0.001, in week 4–18, 18 [16, 23] and 13 [11, 16], p = 0.001, in week 21–31). Significant difference was not observed in patients with NSTEMI and STEMI in both week 4–18 and 21–31, and cardiac arrest in week 21–31. There was a rebound in ED visits in the slack period.

Conclusion

This study revealed that ED visits significantly declined during the COVID-19 epidemic and rebounded in the slack period. The trend was significant for acute stroke and heart failure but was relatively less prominent effect for emergent events such as cardiac arrest or myocardial infarction.

Analytical mapping of information and communication technology in emerging infectious diseases using CiteSpace

The prevalence of severe infectious diseases has become a major global health concern. Currently, the COVID-19 outbreak has spread across the world and has created an unprecedented humanitarian crisis. The proliferation of novel viruses has put traditional health systems under immense pressure and posed several serious issues. Henceforth, early detection, identification, rapid testing, and advanced surveillance systems are required to address public health emergencies. However, Information and Communication Technology (ICT) tackles several issues raised by this pandemic and significantly improves the quality of services in the health care sector. This paper presents an ICT-assisted scientometric analysis of infectious diseases, namely, airborne, food & waterborne, fomite-borne, sexually transmitted illnesses, and vector-borne illnesses. It assesses the international research status of this field in terms of citation structure, prolific journals, and country contributions. It has used the CiteSpace tool to address the visualization needs and in-depth insights of scientific literature to pinpoint core hotspots, research frontiers, emerging research areas, and ICT trends. The research finding reveals that mobile apps, telemedicine, and artificial intelligence technologies have greater scope to reduce the threats of infectious diseases. COVID-19, influenza, HIV, and malaria viruses have been identified as research hotspots whereas COVID-19, contact tracing applications, security and privacy concerns about users' data are the recent challenges in this field that need to address. The United States has produced higher research output in all domains of infectious diseases. Furthermore, it explores the co-occurrence network analysis and intellectual landscape of each domain of infectious diseases. It provides potential research directions and insightful clues to researchers and the academic fraternity for further research.

Technology in the Era of COVID-19: A Systematic Review of Current Evidence

BACKGROUND

During the COVID-19 pandemic, the use of technology-based services has been incremental by the care providers for patients scheduling, regulatory considerations, resource allocation, thus enabling virus exposure prevention while maintaining effective patient care. This study aims to review the currently available evidence to identify available technology solutions in the era of COVID-19.

METHODS

A systematic review in July 2020 using the PubMed, Scopus, Embase, Science Direct, and Web of Science databases has been carried out. After evaluating the title and abstract to select the most relevant studies based on inclusion and exclusion criteria, the selected articles underwent quality assessment. The full text of selected articles was then thoroughly evaluated to extract the essential findings.

RESULTS

In this study, 20 technology-based approaches have been identified for provision of healthcare services to patients with COVID-19. These methods included telemedicine, virtual visits, e-consult, tele-consulting, video conference, virtual healthcare, mobile-based self-care, social media, tele ICU, 3D printing technology, telemonitoring, teleradiology, telesurgical, and cloud-based service.

CONCLUSION

Due to the rapid spread of the coronavirus, the use of technology-based methods for the provision of remote healthcare services can help control the disease. The effectiveness of each of these approaches can be investigated in future research.

Anti-Pandemic Policies in Estonia and Taiwan: Digital Power, Sovereignty and Biopolitics

Taiwan and Estonia are known as digital democracies facing threats from neighbors exploiting the vulnerabilities stemming from their degree of digitalization. Nevertheless, in their responses to the COVID-19 pandemic, Taiwan and Estonia have highlighted the strengths of digital democracy in combating a non-traditional security threat without employing the strong-arm tactics of authoritarian states. The goal of the article is to distinguish between vulnerability in cyberspace and digital power and put forward a conception of digital power to explain how Estonia and Taiwan were using their digital prowess to combat COVID-19. We argue that on one hand, their reliance on cybertechnology makes them particularly vulnerable to cyberattacks, but on the other their digital power enhances their global stature and domestic capacity to address threats such as COVID-19. The article starts by engaging with the ongoing academic debate on the concept of digital power and its political core. In the next section we adapt this concept to the policy practices of digital governance in Estonia and Taiwan. Lastly, we look more specifically at how investments in the IT sphere and e-governance were helpful for the two countries during the initial stage of the COVID-19 crisis. In conclusion, we highlight the paradox of two democracies choosing to extend the reach of the state into society through the use of digital tools to combat COVID-19. We further note that the pandemic provides a new biopolitical understanding of vulnerability and power in the digital realm.

Experiences of foreign residents during COVID-19 pandemic in Taiwan

This study presents a survey analysis of the experiences of foreigners residing in Taiwan during the outbreak of the COVID-19 pandemic. Therein, we conducted interviews with 20 foreign residents of different nationalities in Taiwan. We shed light on participants’ expectations and experiences of living in Taiwan during a pandemic. As for analysis, we inductively analyzed various essential parameters, such as identifying categories, themes, and outlines, mainly from the surveyed data associated with the interviews. In this course, five relevant themes have appeared, namely (I) Access to proper care (II) Living environment (III) Psychosocial effects, (IV) Workplace Environment, (V) Impact of borders closure. The study concludes that foreign residents’ experiences during COVID-19 in Taiwan are admirable. The foreign residents feel comfortable, safe, and happy to stay and work in Taiwan because of the Taiwan government's policy towards successfully preventing community outbreaks.

COVID-19 pandemic and the impact of cross-cultural differences on crisis management: A conceptual model of transcultural crisis management

In this paper, leadership tasks and stakeholder response during transboundary crisis management are analyzed based on findings from Hofstede’s study, GLOBE Project, and theoretical concepts in cross-cultural management. Accordingly, a conceptual model of transcultural crisis management is proposed. Seven propositions (P) and sixteen sub-propositions (SP) are developed and then tested using the case method. The case of the COVID-19 pandemic is studied to note the effects of cross-cultural differences and intercultural communication in the pre-crisis, crisis, and post-crisis stages. Cross-cultural differences are found to affect sense-making, decision-making, sense-giving and meaning-making during pre-crisis and crisis management stages. Implications of these findings and further research agenda are discussed.

ADHD as a Risk Factor for Infection With Covid-19

Background: ADHD limits the ability to comply with Covid-19 prevention recommendations. We hypothesized that ADHD constitutes a risk factor for Covid-19 infection and that pharmacotherapy may lower that risk. Methods: Study population included all subjects (N = 14,022) registered with Leumit Health Services between February 1st and April 30, 2020, who underwent at least one Covid-19 test. Data were collected from the electronic health records. Purchasing consecutively at least three ADHD-medication-prescriptions during past year was considered drug-treatment. Results: A total of 1,416 (10.1%) subjects (aged 2 months-103 years) were Covid-19-positive.They were significantly younger, and had higher rates of ADHD (adjOR 1.58 (95% CI 1.27-1.96, p < .001) than Covid-19-negative subjects. The risk for Covid-19-Positive was higher in untreated-ADHD subjects compared to non-ADHD subjects [crudeOR 1.61 (95% CI 1.36-1.89, p < .001)], while no higher risk was detected in treated ones [crudeOR 1.07 (95% CI 0.78-1.48, p = .65)]. Conclusion: Untreated ADHD seems to constitute a risk factor for Covid-19 infection while drug-treatment ameliorates this effect.

Feature selection for proximity estimation in COVID-19 contact tracing apps based on Bluetooth Low Energy (BLE)

During the COVID-19 pandemic, contact tracing apps based on the Bluetooth Low Energy (BLE) technology found in smartphones have been deployed by multiple countries despite BLE's debatable performance for determining close contacts among users. Current solutions estimate proximity based on a single feature: the mean attenuation of the BLE signal. In this context, a new generation of these apps which better exploits data from the BLE signal and other sensors available on phones can be fostered. Collected data can be used to extract multiple features that feed machine learning models which can potentially improve the accuracy of today's solutions. In this work, we consider the use of machine learning models to evaluate different feature sets that can be extracted from the received BLE signal, and assess the performance gain as more features are introduced in these models. Since indoor conditions have a strong impact in assessing the risk of being exposed to the SARS-CoV-2, we analyze the environment (indoor or outdoor) role in these models, aiming at understanding the need for apps that could increase proximity accuracy if aware of its environment. Results show that a better accuracy can be obtained in outdoor locations with respect to indoor ones, and that indoor proximity estimation can benefit more from the introduction of more features with respect to the outdoor estimation case. Accuracy can be increased about 10% when multiple features are considered if the device is aware of its environment, reaching a performance of up to 83% in indoor spaces and up to 91% in outdoor ones. These results encourage future contact tracing apps to integrate this awareness not only to better assess the associated risk of a given environment but also to improve the proximity accuracy for detecting close contacts.

Genomic analysis of early transmissibility assessment of the D614G mutant strain of SARS-CoV-2 in travelers returning to Taiwan from the United States of America

Background

There is a global pandemic of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Information on viral genomics is crucial for understanding global dispersion and for providing insight into viral pathogenicity and transmission. Here, we characterized the SARS-CoV-2 genomes isolated from five travelers who returned to Taiwan from the United States of America (USA) between March and April 2020.

Methods

Haplotype network analysis was performed using genome-wide single-nucleotide variations to trace potential infection routes. To determine the genetic variations and evolutionary trajectory of the isolates, the genomes of isolates were compared to those of global virus strains from GISAID. Pharyngeal specimens were confirmed to be SARS-CoV-2-positive by RT-PCR. Direct whole-genome sequencing was performed, and viral assemblies were subsequently uploaded to GISAID. Comparative genome sequence and single-nucleotide variation analyses were performed.

Results

The D614G mutation was identified in imported cases, which separated into two clusters related to viruses originally detected in the USA. Our findings highlight the risk of spreading SARS-CoV-2 variants through air travel and the need for continued genomic tracing for the epidemiological investigation and surveillance of SARS-CoV-2 using viral genomic data.

Conclusions

Continuous genomic surveillance is warranted to trace virus circulation and evolution in different global settings during future outbreaks.

Effective COVID-19 Control: A Comparative Analysis of the Stringency and Timeliness of Government Responses in Asia

Aim: Many governments in East and Southeast Asia responded promptly and effectively at the onset of the COVID-19 pandemic. Synthesizing and analyzing these responses is vital for disease control evidence-based policymaking. Methods: An extensive review of COVID-19 control measures was conducted in selected Asian countries and subregions, including Mainland China, Hong Kong, Taiwan, South Korea, Singapore, Japan, and Vietnam from 1 January to 30 May 2020. Control measures were categorized into administrative, public health, and health system measures. To evaluate the stringency and timeliness of responses, we developed two indices: the Initial Response Index (IRI) and the Modified Stringency Index (MSI), which builds on the Oxford COVID-19 Government Response Tracker (OxCGRT). Results: Comprehensive administrative, public health, and health system control measures were implemented at the onset of the outbreak. Despite variations in package components, the stringency of control measures across the study sites increased with the acceleration of the outbreak, with public health control measures implemented the most stringently. Variations in daily average MSI scores are observed, with Mainland China scoring the highest (74.2), followed by Singapore (67.4), Vietnam (66.8), Hong Kong (66.2), South Korea (62.3), Taiwan (52.1), and Japan (50.3). Variations in IRI scores depicting timeliness were higher: Hong Kong, Taiwan, Vietnam, and Singapore acted faster (IRI > 50.0), while Japan (42.4) and Mainland China (4.2) followed. Conclusions: Timely setting of stringency of the control measures, especially public health measures, at dynamically high levels is key to optimally controlling outbreaks.

Knowledge and awareness of COVID-19 among Indonesian migrant workers in the Greater China Region

OBJECTIVES

Migrant workers are one of the most vulnerable population groups during the coronavirus disease 2019 (COVID-19) pandemic. This study investigated knowledge and awareness of COVID-19 among Indonesian migrant workers (IMWs) in Macao (SAR), Hong Kong (SAR), and Taiwan.

STUDY DESIGN

This was a cross-sectional study.

METHODS

Data were collected through an online survey in February and March 2020 to gain information on (1) participants' sociodemographic characteristics, (2) experience and awareness regarding COVID-19 information, and (3) knowledge and understanding of COVID-19. A series of Chi-squared, t-test, and logistic regression analyses were conducted.

RESULTS

The survey was completed by 491 participants (92.1% female). Knowledge of COVID-19 was obtained from multiple sources, including a large proportion from online social media. However, participants who obtained information from their employer, local social networks, and migrant organisations answered a greater number of questions correctly. One-third of participants reported receiving hoax, fake news, and incorrect information and obtained information from unverified sources. Participants were most interested in information about how to cure COVID-19, and 57.8% knew that no specific drug or vaccine was currently available. Almost all participants correctly identified fever and wearing a facemask as the main COVID-19 symptom and prevention strategy, respectively. Participants with senior high school or higher education and who worked as domestic or care workers had a greater knowledge of COVID-19 than their counterparts.

CONCLUSIONS

Public health communication strategies using multiple channels, including employers and community organisations, would help to minimise COVID-19 knowledge gaps. In addition, it is recommended that digital literacy content is added to public health campaigns.

Mapping the Role of Digital Health Technologies in Prevention and Control of COVID-19 Pandemic: Review of the Literature

BACKGROUND

Coronavirus Disease (COVID-19) is currently spreading exponentially around the globe. Various digital health technologies are currently being used as weapons in the fight against the pandemic in different ways by countries. The main objective of this review is to explore the role of digital health technologies in the fight against the COVID-19 pandemic and address the gaps in the use of these technologies for tackling the pandemic.

METHODS

We conducted a scoping review guided by the Joanna Briggs Institute guidelines. The articles were searched using electronic databases including MEDLINE (PubMed), Cochrane Library, and Hinari. In addition, Google and Google scholar were searched. Studies that focused on the application of digital health technologies on COVID-19 prevention and control were included in the review. We characterized the distribution of technological applications based on geographical locations, approaches to apply digital health technologies and main findings. The study findings from the existing literature were presented using thematic content analysis.

RESULTS

A total of 2,601 potentially relevant studies were generated from the initial search and 22 studies were included in the final review. The review found that telemedicine was used most frequently, followed by electronic health records and other digital technologies such as artificial intelligence, big data, and the internet of things (IoT). Digital health technologies were used in multiple ways in response to the COVID-19 pandemic, including screening and management of patients, methods to minimize exposure, modelling of disease spread, and supporting overworked providers.

CONCLUSION

Digital health technologies like telehealth, mHealth, electronic medical records, artificial intelligence, the internet of things, and big data/internet were used in different ways for the prevention and control of the COVID-19 pandemic in different settings using multiple approaches. For more effective deployment of digital health tools in times of pandemics, development of a guiding policy and standard on the development, deployment, and use of digital health tools in response to a pandemic is recommended.

National Vaccination and Local Intervention Impacts on COVID-19 Cases

COVID-19, as a global pandemic, has spread across Indonesia. Jakarta, as the capital of Indonesia, is the province with the most positive cases. The government has issued various guidelines, both at the central and regional levels. Since it began in 2021, the planned new measures, called ‘Pemberlakuan Pembatasan Kegiatan Masyarakat Darurat’, or PPKM emergency public activity restrictions, began with the possibility that the number of active cases might decrease. Accordingly, global vaccinations were also carried out, as they were in Indonesia. However, the first phase prioritized frontline health workers and high-risk elderly people. This study conducted a causal impact analysis to determine the effectiveness of PPKM in Jakarta and its vaccination program against the increase in daily new cases. Based on this test, PPKM showed a significant effect on the addition of daily new cases and recovered cases. Conversely, the vaccination program only had a significant impact on recovered cases. A forecast of the COVID-19 cases was conducted and indicated that the daily new cases showed a negative trend, although it fluctuated for the next 7 days, while death and recovered cases continued to increase. Hence, it can be said that the vaccination program has still not shown its effectiveness in decreasing the number of daily new cases while PPKM is quite effective in suppressing new cases.

Type 2 Diabetic Sepsis Patients Have a Lower Mortality Rate in Pioglitazone Use: A Nationwide 15-Year Propensity Score Matching Observational Study in Taiwan

Background

Pioglitazone use via the PPARγ agonist in sepsis patients is inconclusive. It was based on a great number of animal studies. However, except for information from animal studies, there are merely any data of human studies for reference.

Methods

This study was conducted by a unique database including 1.6 million diabetic patients. From 1999 to 2013, a total of 145,327 type 2 diabetic patients, first admitted for sepsis, were enrolled. Propensity score matching was conducted in a 1 : 5 ratio between pioglitazone users and nonusers. Multivariate logistic regression was conducted to evaluate the adjusted odds ratios (aORs) of hospital mortality in pioglitazone users. Further stratification analysis was done and Kaplan–Meier plot was used.

Results

A total of 9,310 sepsis pioglitazone users (defined as “ever” use of pioglitazone in any dose within 3 months prior to the first admission for sepsis) and 46,550 matched nonusers were retrieved, respectively. In the multivariate logistic regression model, the cohort of pioglitazone users (9,310) had a decreased aOR of 0.95 (95% CI, 0.89–1.02) of sepsis mortality. Further stratification analysis demonstrated that “chronic pioglitazone users” (defined as “at least” 4-week drug use within 3 months) (3,399) were more associated with significant aOR of 0.80 (95% CI, 0.72–0.89) in reducing sepsis mortality.

Conclusions

This first human cohort study demonstrated the potential protective effect of chronic pioglitazone use in type 2 diabetic sepsis patients.

Impact of the COVID-19 pandemic on emergency medical service response to out-of-hospital cardiac arrests in Taiwan: a retrospective observational study

Background

Emergency medical service (EMS) personnel have high COVID-19 risk during resuscitation. The resuscitation protocol for patients with out-of-hospital cardiac arrest (OHCA) was modified in response to the COVID-19 pandemic. However, how the adjustments in the EMS system affected patients with OHCA remains unclear.

Methods

We analysed data from the Taichung OHCA registry system. We compared OHCA outcomes and rescue records for 622 cases during the COVID-19 outbreak period (1 February to 30 April 2020) with those recorded for 570 cases during the same period in 2019.

Results

The two periods did not differ significantly with respect to patient age, patient sex, the presence of witnesses or OHCA location. Bystander cardiopulmonary resuscitation and defibrillation with automated external defibrillators were more common in 2020 (52.81% vs 65.76%, p<0.001%, and 23.51% vs 31.67%, p=0.001, respectively). The EMS response time was longer during the COVID-19 pandemic (445.8±210.2 s in 2020 vs 389.7±201.8 s in 2019, p<0.001). The rate of prehospital return of spontaneous circulation was lower in 2020 (6.49% vs 2.57%, p=0.001); 2019 and 2020 had similar rates of survival discharge (5.96% vs 4.98%). However, significantly fewer cases had favourable neurological function in 2020 (4.21% vs 2.09%, p=0.035).

Conclusion

EMS response time for patients with OHCA was prolonged during the COVID-19 pandemic. Early advanced life support by EMS personnel remains crucial for patients with OHCA.

COVID-19 mitigation by digital contact tracing and contact prevention (app-based social exposure warnings)

A plethora of measures are being combined in the attempt to reduce SARS-CoV-2 spread. Due to its sustainability, contact tracing is one of the most frequently applied interventions worldwide, albeit with mixed results. We evaluate the performance of digital contact tracing for different infection detection rates and response time delays. We also introduce and analyze a novel strategy we call contact prevention, which emits high exposure warnings to smartphone users according to Bluetooth-based contact counting. We model the effect of both strategies on transmission dynamics in SERIA, an agent-based simulation platform that implements population-dependent statistical distributions. Results show that contact prevention remains effective in scenarios with high diagnostic/response time delays and low infection detection rates, which greatly impair the effect of traditional contact tracing strategies. Contact prevention could play a significant role in pandemic mitigation, especially in developing countries where diagnostic and tracing capabilities are inadequate. Contact prevention could thus sustainably reduce the propagation of respiratory viruses while relying on available technology, respecting data privacy, and most importantly, promoting community-based awareness and social responsibility. Depending on infection detection and app adoption rates, applying a combination of digital contact tracing and contact prevention could reduce pandemic-related mortality by 20-56%.

Individualism and Egalitarianism Can Kill: How Cultural Values Predict Coronavirus Deaths Across the Globe

While in some countries, many people have died due to the coronavirus (COVID-19), in other countries, only a few have died. Based on the cultural values theory, our first hypothesis was that in countries that are predominantly individualistic, the number of deaths will be high, whereas in countries with predominantly collectivist values, the number of deaths will be low. Our second hypothesis was that countries with high power distance and hierarchy will have fewer deaths compared to countries with low power distance and egalitarianism. The hypotheses were tested by referring to two different value studies (Hofstede's study of 76 countries and Schwartz's study of 75 countries) while also controlling for GDP per capita, Gini index, population density, median age per country, and BMI per country. Of the five control variables GDP and BMI significantly predicted coronavirus deaths. Taking into account GDP, Gini index, population density, median age, and BMI, hierarchical regression analyses confirmed the first hypothesis on individualism and the second hypothesis on egalitarianism. Therefore, in the case of this current pandemic, group-oriented and collectivist values and low egalitarianism values lead to specific health-related behaviors that ultimately keep more people alive.

Impact of COVID-19 on IoT Adoption in Healthcare, Smart Homes, Smart Buildings, Smart Cities, Transportation and Industrial IoT

COVID-19 has disrupted normal life and has enforced a substantial change in the policies, priorities and activities of individuals, organisations and governments. These changes are proving to be a catalyst for technology and innovation. In this paper, we discuss the pandemic's potential impact on the adoption of the Internet of Things (IoT) in various broad sectors, namely healthcare, smart homes, smart buildings, smart cities, transportation and industrial IoT. Our perspective and forecast of this impact on IoT adoption is based on a thorough research literature review, a careful examination of reports from leading consulting firms and interactions with several industry experts. For each of these sectors, we also provide the details of notable IoT initiatives taken in the wake of COVID-19. We also highlight the challenges that need to be addressed and important research directions that will facilitate accelerated IoT adoption.

Nanoarchitectonics on living cells

In this review article, the recent examples of nanoarchitectonics on living cells are briefly explained. Not limited to conventional polymers, functional polymers, biomaterials, nanotubes, nanoparticles (conventional and magnetic ones), various inorganic substances, metal-organic frameworks (MOFs), and other advanced materials have been used as components for nanoarchitectonic decorations for living cells. Despite these artificial processes, the cells can remain active or remain in hibernation without being killed. In most cases, basic functions of the cells are preserved and their resistances against external assaults are much enhanced. The possibilities of nanoarchitectonics on living cells would be high, equal to functional modifications with conventional materials. Living cells can be regarded as highly functionalized objects and have indispensable contributions to future materials nanoarchitectonics.

Searching for New Model of Digital Informatics for Human-Computer Interaction: Testing the Institution-Based Technology Acceptance Model (ITAM)

The fourth industrial revolution has produced new information technology (IT) that is widely used in the healthcare industry. Although the nature of the institution affects IT adoption, the Technology Acceptance Model (TAM), a dominant theory, has dismissed its role and influence. Our research investigates how institutions influence the adoption of new IT by using the Institution-based Technology Acceptance Model (ITAM). We conducted an empirical test by using survey data collected from 300 employees in the public sector. Structural equation modeling was applied to test the proposed hypotheses. The results showed the total effect of institutions on the intention to use new IT is positive and significant. Second, IT adoption is not only affected by external institutions but also by type of institution; the external institution takes a greater role in inducing perceived usefulness, perceived ease of use, and intention to use than does the internal. Third, perceived ease of use and perceived usefulness play mediating roles between institution and IT adoption. Fourth, an alternative expanded model to which more individual and organizational factors were added confirmed the results of the base model. We concluded that institutions have a strong impact on the level of intention for IT use through perceived ease of use and perceived usefulness.

Correlation Between Malpractice Litigation and Legislation Reform in Taiwan Over a 30-Year Period

Background

The annual medical litigation rate has increased yearly since 1987 in Taiwan. Policy makers keep going medical legislation reforms. The effectiveness of legislation reforms to reduce malpractice litigation risk is uncertain.

Objective

To determine whether medical legislation reform helps reduce the risk of medical litigation.

Design, Setting, and Participants

This retrospective study used national data obtained from Ministry of Health and Welfare in Taiwan. The period analyzed was from 1987 to 2018. The annual medical litigation rate was determined, types of medical negligence litigation were compared, medical appraisal results were summarized, and the importance of medical legislation was identified.

Interventions

After legislation reform vs before legislation reform.

Measurements

The main outcome showed trends in medical dispute assessments over time by adjusting for the general population (per 1, 000, 000 people). We established 2004 and 2012 as the 2 cut-points for further analysis of medical appraisal results due to legislation reform.

Results

With legislation reforms, the annual medical litigation rate decreased from 26.68 cases per million people in 2012 to 16.41 cases per million people in 2018. The annual medical litigation rate declined by approximately 38% from 2012 to 2018. Medical appraisal results were malpractice cases in 22.1% before Medical Care Act (2004 Reform) compared with 18.8% from 2004 to 2012 (odds ratio [OR], 0.82; 95% CI, 0.727–0.924; p=0.001), and 6.4% after mediation system introduced in 2012 (odds ratio [OR], 0.243; 95% CI, 0.205–0.288; p<0.001).

Conclusion

Medical legislation reform has reduced the risk of malpractice litigation over time.