Pandemic Control Research Articles

A glance at the COVID-19 epidemic control system in Taiwan: implications for organizational crisis management and leadership in black swan events

Abstract The COVID-19 pandemic caused substantial impacts and uncertainty in the world. For human resource leaders compelled into new roles in light of the pandemic, this paper used an exemplary case – Taiwan – to (1) discuss lessons and takeaways from the Taiwanese government’s and organizations’ response to the pandemic and (2) identify the structure of a pandemic control model and effective leadership behaviours at the national level that may be adopted in business settings to decrease the disruptive effects of a crisis. While efficient subsystems in organizational governance, policy, leadership, and culture are essential to combat a crisis, the evidence from Taiwan’s case in these contexts highlights the importance of various infrastructures and communication pathways in crisis management. The study aims to advance the understanding of effective responses and leadership skills in times of crisis and contribute to human resource literature and policy development in business settings. Human resource professionals and leaders play an important role as change agents to reduce the disruptive effects of a black swan event and can benefit from this study to be prepared for future crises. Implications for international human resource interventions in crisis management and leadership and recommendations for future research are provided.

An examination of the relationship between risk perceptions, cultural-religious beliefs and coping during COVID-19 pandemic control in South Asian countries: a systematic review

BackgroundCovid 19 was declared as a public health emergency by the World Health Organisation (WHO) due to its rapid spread and catastrophic effects on health. It affected around 119 M people with mortality rate of 0.27% worldwide, including South-Asians. This review aims to understand the risk perceptions, cultural religious beliefs and the coping mechanisms of South Asians during the Covid 19 pandemic.MethodsWe conducted a systematic review following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The following search engines were used: Medline, Cochrane Library, PsycINFO, CINAHL, and Web of Science. Included studies investigated perceptions and opinions of individuals on knowledge, risk and protective factors, native faith based practices, and attitudes towards the COVID-19 pandemic.ResultsThe database search produced 282 articles to screen. The final narrative synthesis included five studies comprising of 13,476 participants from Pakistan, India, Nepal, and Bangladesh. Ten studies, comprising 7,893 participants, were eligible and included for meta-analysis. The overall pooled prevalence with maximum heterogeneity for correct knowledge of symptoms, hand washing or use of sanitizers, face masking use of herbal or traditional remedies and physical distancing or avoidance of contact was reported through meta-analysis.ConclusionThe review brings forth a useful comparison of individual and cultural differences in KAP, risk perceptions and coping strategies. This review highlights the need for and importance of tailored information dissemination, culturally sensitive risk communication, targeted educational interventions, community engagement and empowerment, policy, and infrastructure improvements, as well as continued research and data collection. By addressing these implications, efforts to mitigate the impact of COVID-19 can be more effective and equitable across diverse populations.Prospero registrationCRD42021246475.

Burden of noncommunicable diseases and COVID-19 pandemic prevention and control strategies

Noncommunicable diseases (NCDs) are the leading cause of death in 21st century. The risk factors for development and progression of NCDs include sedentary lifestyle, inadequate fruits and vegetables intake, tobacco use, high blood pressure, high total cholesterol levels, obesity, high salt intake, low physical activity, and air pollution. People with NCDs and comorbidities like hypertension, cardiovascular diseases, diabetes, chronic respiratory infection and cancer are more vulnerable to severe COVID-19 infection that ultimately results into mortality. To reduce the impact of NCDs on COVID-19 cases, prevention is the best measure. Primary and secondary level prevention of NCDs plays a main role to control bad outcome in COVID-19 cases. The strategies that are required to address this comorbidity includes integration and convergence of the existing communicable and NCD programs, strengthening health care systems by giving major focus on primary health care services, health and wellness centers, universal health coverage, updating guidelines, enhancing community participation, capacity building, appropriate policy making, multi-sectoral participation and coordination.

A Novel Computer-Aided Approach for Predicting COVID-19 Severity Using Hyperparameters in ResNet50v2 from X-ray Images

This research has been globally impacted by COVID-19 virus, which was a very uncommon, highly contagious & dangerous respiratory illness demanding early detection for effective containment and further spread. In this research, we proposed an innovative methodology that utilizes images of X-rays for COVID-19 detection at an early stage. By employing a convolution neural network, we enhance the accuracy performance via using ResNet50v2 using a hyperparameter. The methodology achieves a remarkable accuracy with an average accuracy of 99.12%. This accuracy surpasses other available models based on different deep learning models like VGG, Xception and DenseNet for COVID identification & detection with the help of X-ray images. X-ray scans are now preferably used modality for the identification & detection of COVID-19, given its widespread utilization and effectiveness. However, manual treatment & examination using X-ray images is very challenging, specifically in the field which is facing a limitation of skilled medical staff. Utilization of deep learning models has demonstrated significant potential and effective results in automating the diagnosis for timely identification of COVID with the help of X-ray films. The suggested architecture is specifically developed for timely prediction and analysis of COVID cases employing X-ray films. It firmly believes that this study holds significant potential in alleviating the workload of frontline radiologists, expediting patient diagnosis and treatment, and facilitating pandemic control efforts.

Impact of non-pharmaceutical interventions on COVID-19 incidence and deaths: cross-national natural experiment in 32 European countries

PurposeNon-pharmaceutical interventions (NPIs) have been the cornerstone of COVID-19 pandemic control, but evidence on their effectiveness varies according to the methods and approaches taken to empirical analysis.We analysed the impact of NPIs on incident SARS-CoV-2 across 32 European countries (March-December 2020) using two NPI trackers: the Corona Virus Pandemic Policy Monitor – COV-PPM, and the Oxford Covid-19 Government Response Tracker – OxCGRT.MethodsNPIs were summarized through principal component analysis into three sets, stratified by two waves (C1-C3, weeks 5–25, and C4-C6, weeks 35–52). Longitudinal, multi-level mixed-effects negative binomial regression models were fitted to estimate incidence rate ratios for cases and deaths considering different time-lags and reverse causation (i.e. changing incidence causing NPIs), stratified by waves and geographical regions (Western, Eastern, Northern, Southern, Others).ResultsDuring the first wave, restrictions on movement/mobility, public transport, public events, and public spaces (C1) and healthcare system improvements, border closures and restrictions to public institutions (C2) were associated with a reduction in SARS-CoV-2 incidence after 28 and 35-days. Mask policies (C3) were associated with a reduction in SARS-CoV-2 incidence (except after 35-days). During wave 1, C1 and C2 were associated with a decrease in deaths after 49-days and C3 after 21, 28 and 35-days. During wave 2, restrictions on movement/mobility, public transport and healthcare system improvements (C5) were also associated with a decrease in SARS-CoV-2 cases and deaths across all countries.ConclusionIn the absence of pre-existing immunity, vaccines or treatment options, our results suggest that the observed implementation of different categories of NPIs, showed varied associations with SARS-CoV-2 incidence and deaths across regions, and varied associations across waves. These relationships were consistent across components of NPIs derived from two policy trackers (CoV-PPM and OxCGRT).

Individuals carrying the HLA-B*15 allele exhibit favorable responses to COVID-19 vaccines but are more susceptible to Omicron BA.5.2 and XBB.1.16 infection.

Natural infection or vaccination have provided robust immune defense against SARS-CoV-2 invasion, nevertheless, Omicron variants still successfully cause breakthrough infection, and the underlying mechanisms are poorly understood. Sequential blood samples were continuously collected at different time points from 252 volunteers who were received the CanSino Ad5-nCoV (n= 183) vaccine or the Sinovac CoronaVac inactivated vaccine (n= 69). The anti-SARS-CoV-2 prototype and Omicron BA.5.2 as well as XBB.1.16 variant neutralizing antibodies (Nab) in sera were detected by ELISA. Sera were also used to measure pseudo and live virus neutralization assay. The associations between the anti-prototype Nab levels and different HLA-ABC alleles were analyzed using artificial intelligence (AI)-deep learning techniques. The frequency of B cells in PBMCs was investigated by flow cytometry assay (FACs). Individuals carrying the HLA-B*15 allele manifested the highest concentrations of anti-SARS-CoV-2 prototype Nab after vax administration. Unfortunately, these volunteers are more susceptible to Omicron BA.5.2 breakthrough infection due to their sera have poorer anti-BA.5.2 Nab and lower levels of viral neutralization efficacy. FACs confirmed that a significant decrease in CD19+CD27+RBD+ memory B cells in these HLA-B*15 population compared to other cohorts. Importantly, generating lower concentrations of cross-reactive anti-XBB.1.16 Nab post-BA.5.2 infection caused HLA-B*15 individuals to be further infected by XBB.1.16 variant. Individuals carrying the HLA-B*15 allele respond better to COVID-19 vax including the CanSino Ad5-nCoV and the Sinovac CoronaVac inactivated vaccines, but are more susceptible to Omicron variant infection, thus, a novel vaccine against this population is necessary for COVID-19 pandemic control in the future.

Establishment of a Reference Material in Quality Control for Use in Infectivity and Identity Assays of Recombinant COVID-19 Vaccine, in Accordance with International Standards Organization Guidance.

The COVID-19 pandemic, caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), began in 2019. One of the strategies for pandemic control was mass vaccination. In Brazil, the recombinant COVID-19 vaccine (RCV) was produced on a large scale and offered at no charge to the population. The specifications for quality control analyses of RCV included identity and infectivity determination. To validate the results, a reference material (RM) must be analyzed in parallel with the sample vaccine. This research aimed to establish the RM for use in the identity and infectivity assay for RCV. The candidate RM was analyzed using homogeneity and stability studies. The RM was considered homogeneous for identity (cycle threshold (Ct) ≤ 25.19) and infectivity (average x- was 9.25 log10 infectious units/mL). The RM was considered adequately stable for identity during the total period in all studies, being stable at -70, 5, and 22.5 °C for 380, 313, and 14 days, respectively (Ct ≤ 21.81). For infectivity, the RM was stable at -70, 5, and 22.5 °C for 380, 97, and three days, respectively. Since the property identity and infectivity values of the RM were established, the new RM could be used in quality control analysis.

Dynamic patterns of COVID stress syndrome among university students during an outbreak: a time-series network analysis

Objective Assessing the progression of COVID stress syndrome (CSS) and understanding how cognitive and emotional factors play a role in the dynamic system is critical for prevention and intervention during the COVID-19 pandemic. We investigated the dynamic relationship between self-reported COVID stress syndrome, cognitive factors, and emotional factors through time-series network analysis. Methods and Measures Participants were 188 university students involved in an experience sampling method study that lasted 14 days, three times a day, during the COVID-19 pandemic period following a shift in pandemic prevention and control policy. Results CSS symptoms are usually present simultaneously, and xenophobia is the most central node of the network. There is a complex mutual predictive relationship between CSS symptoms, in which traumatic stress symptoms are crucial in developing and maintaining the CSS symptom network. Negative affect was associated with CSS symptoms at the same time, and subjective health cognition was a significant predictor of CSS symptoms the next time. Conclusions Traumatic stress symptoms are essential nodes in the CSS symptom network, and negative emotions and subjective health influence the occurrence and development of CSS symptoms.

Facility wastewater monitoring as an effective tool for pandemic infection control: An experience in COVID-19 pandemic with long-term monitoring

IntroductionSince the first report of a novel coronavirus infection caused by SARS-CoV-2 in late 2019, the infection has spread rapidly and had a significant impact on our lives. In the early stages of the COVID-19 pandemic, there was no adequate testing system in place, despite an urgent need for infection control measures in student dormitories. MethodsWe have been monitoring SARS-CoV-2 in wastewater as part of our infection control efforts in the university facilities since fall 2020. In the four dormitories, absorbent cotton was placed in the drains that the facility wastewater passed through, and samples were collected twice a week and processed by RT-PCR for SARS-CoV-2. The dormitory residents were informed of the monitoring results the next morning. ResultsThe positivity of residents in the dormitories was highly consistent with the positivity of wastewater. Wastewater was positive in 89 % of cases before any residents were tested and found positive. Facility wastewater monitoring showed sensitivities of 80.4 % and specificities of 87.6 %. No traceable resident-to-resident transmission of infection within the facility was confirmed during the study period. ConclusionSampling a single wastewater outlet in a building for SARS-CoV-2 PCR can effectively indicate the presence or absence of COVID-19 cases and be very useful for infection control of a facility. This simple and effective monitoring is applicable to future outbreaks of both emerging and re-emerging infectious diseases.

Rapid Serological Test for COVID-19, One-Step-COVID-2019: Accuracy and Implications for Pandemic Control

Background: Accurate and rapid testing for COVID-19 is critical for effective disease management and control. The One-Step-COVID-2019-Test was developed as a rapid serological test to detect antibodies against SARS-CoV-2. Objective: To estimate the accuracy of the rapid serological test for COVID-19 using One-Step-COVID-2019. Methods: We conducted a population-based serological survey with a stratified sampling of 593 adults between October and December 2020, prior to mass vaccination and during a period of limited availability of rapid tests. Participants provided 7.5 mL of serum, which was tested using the One-Step-COVID-2019-Test for IgM-IgG antibodies without distinction, as well as an in-house ELISA for IgG against the spike protein. Statistical analysis accounted for sampling weights, with accuracy assessed through sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), Youden index, and kappa coefficient, using ELISA as the reference standard. McNemar’s test identified significant differences between the test results. Results: The ELISA-based prevalence of infection was 11.1%. The One-Step-COVID-2019-Test showed low sensitivity (27.0–30.8%) but high specificity (89.9–96.6%), with poor agreement (kappa: 0.290–0.337), particularly among asymptomatic individuals. Conclusions: The One-Step-COVID-2019 rapid test for COVID-19 demonstrated inadequate performance, characterized by low sensitivity and poor reliability, making it unsuitable for effective serological surveillance.

It's bittersweet, it's uncomfortable, yes, but it's necessary. Methodological reflections on the experiences of young adults with life-shortening conditions on being involved in inclusive qualitative research

Research in palliative care is regarded as ethically challenging although there is increasing recognition that such research is important. Young adults with life-shortening conditions were not expected to reach adulthood but this population is growing and there is limited research that focuses on their lives or their experiences of engaging in research. The study explored the unintended consequences of pandemic control measures on the lives of young adults living with life-shortening conditions in the United Kingdom. This paper focuses on some of the methodological issues arising from this study, drawing on data that explores participants’ experiences of taking part. This is an interpretivist and inclusive qualitative study co-produced with three experts by experience using constructivist Grounded Theory method conducted during the first wave of the Coronavirus pandemic. In-depth interviews using a topic guide were transcribed verbatim and analysed iteratively until the point of data saturation. Twenty-six young adults aged 22–40 (17 female; 9 male), reporting a wide range of life-limiting and/or life-threatening conditions including rare and undiagnosed conditions and co-morbidities. Through analysis we identify four key themes focusing on participants’ experiences of taking part in the research: helping others and influencing change; reciprocity and support; therapeutic value; and (in)visibility and legacy. This paper offers methodological reflections on research in palliative care drawing on qualitative co-produced research involving young adults with life-shortening conditions. Our findings indicate that although participating in research can feel uncomfortable, this is outweighed by the perceived benefits of contributing to research.

Inter-relationships among individual views of COVID-19 control measures across multi-cultural contexts

Individual-level georeferenced data have been widely used in COVID-19 control measures around the world. Recent research observed that there is a trade-off relationship between people's privacy concerns and their acceptance of these control measures. However, whether this trade-off relationship exists across different cultural contexts is still unaddressed. Using data we collected via an international survey (n = 4260) and network analysis, our study found a substantial trade-off inter-relationship among people's privacy concerns, perceived social benefits, and acceptance across different control measures and study areas. People's privacy concerns in culturally tight societies (e.g., Japan) have the smallest negative impacts on their acceptance of pandemic control measures. The results also identify people's key views of specific control measures that can influence their views of other control measures. The impacts of these key views are heightened among participants with a conservative political view, high levels of perceived social tightness, and vertical individualism. Our results indicate that cultural factors are a key mechanism that mediate people's privacy concerns and their acceptance of pandemic control measures. These close inter-relationships lead to a double-edged sword effect: the increased positive impacts of people's acceptance and perceived social benefits also lead to increased negative impacts of privacy concerns in different combinations of control strategies. The findings highlight the importance of cultural factors as key determinants that affect people's acceptance or rejection of specific pandemic control measures.

Managing compound events in the COVID-19 era: A critical analysis of gaps, measures taken, and challenges

Since the beginning of 2020, the focus has predominantly been on the prevention and control of the COVID-19 pandemic. However, the 'new normal' has drastically altered responses to other hazards, underscoring the need to prepare and plan for complex, multi-risk scenarios. Nevertheless, there's limited literature on disaster preparedness and response for compound hazard scenarios, particularly pandemic-natural hazard hybrids. The few studies that have explored concurrent hazards during the COVID-19 pandemic have largely focused on developed, high-income countries. Yet, compound events can exacerbate pre-existing socio-economic vulnerabilities in developing countries, straining systems and causing disproportionate impacts. This study addresses this lacuna by examining (1) emergency preparedness and response measures for Sri Lanka's Southwest and Northeast monsoons during the COVID-19 pandemic, and (2) the feasibility of current Disaster Risk Reduction (DRR) strategies for managing compound pandemic-natural hazard events in Sri Lanka. The research involves a desk-based policy analysis of disaster and health policies, key informant interviews with 26 officials, and focus group discussions with Public Health Inspectors from Ratnapura, Jaffna, Matara, and Gampaha. Findings indicate that while significant steps were taken, including impact scenario analyses, stakeholder meetings, and revised response measures, challenges such as resource constraints and limited capacity persisted. This study further demonstrates that the country's existing DRR strategies are characterised by gaps that may hinder capacities to effectively manage compound hazards. The findings of this study therefore encourage the implementation of structural changes and anticipatory action that adequately account for the complexity of risk supported by cross-sectoral collaboration. The study particularly highlights the importance of proactive scenario-based planning, developing composite risk matrices that account for multiple dimensions of vulnerability, fostering cross-sectoral and cross-level collaboration, and adapting existing early warning systems to effectively manage compound hazard scenarios.

Influence of Breast Cancer Awareness Month on Public Interest of Breast Cancer in High-Income Countries Between 2012 and 2022: Google Trends Analysis.

Breast cancer is the most common cancer among women worldwide. High-income countries have a greater incidence and mortality rate of breast cancer than low-income countries. As a result, raising awareness about breast cancer is crucial in increasing the chances of early detection and treatment. Social media has evolved into an essential tool for Breast Cancer Awareness Month campaigns, allowing people to share their breast cancer stories and experiences while also providing a venue for education and support. The aim of this study was to assess the level of public interest in searches linked to breast cancer among a sample of high-income nations with a sizable internet user base from 2012 to 2022. We also sought to compare the proportional search volume for breast cancer during Breast Cancer Awareness Month with that during other months of the year. Google Trends was used to retrieve data on internet user search behaviors in the context of breast cancer from 2012 to 2022. Seven countries were evaluated in this study: Australia, Canada, Ireland, New Zealand, the United Kingdom, Saudi Arabia, and the United States, in addition to global data. Breast cancer relative search volume trends were analyzed annually, monthly, and weekly from 2012 to 2022. The annual percent change (APC) was calculated for each country and worldwide. Monthly and weekly data were used to identify potential trends. A fluctuating pattern in APC rates was observed, with a notable increase in 2018 and a significant decrease in 2020, particularly in Saudi Arabia. Monthly analysis revealed a consistent peak in search volume during October (Breast Cancer Awareness Month) each year. Weekly trends over a 20-year period indicated significant decreases in Australia, Canada, New Zealand, and the United States, while increases were noted in Ireland. Heatmap analysis further highlighted a consistent elevation in median search volume during October across all countries. These findings underscore the impact of Breast Cancer Awareness Month and suggest potential influences of governmental COVID-19 pandemic control measures in 2020 on internet search behavior.

Connecting efficiency and responsiveness in China: public sentiments and stakeholder perspectives towards COVID-19 crisis governance.

The COVID-19 (coronavirus disease 2019) pandemic initiated debates on how crisis management affects democracy. In them, the balance between deploying control strategies that limit citizens' freedom and their democratic legitimation features prominently. Informed by theoretical debates about responsive crisis governance, this paper explores how Chinese citizens reacted by quantitatively and qualitatively analysing social media expressions and Chinese stakeholders' narratives. The quantitative analysis indicated that public sentiments towards pandemic control were complex and mostly related to the severe pandemic in Wuhan. Negative sentiments were mainly directed at local states; national states largely received respect. The qualitative analysis exhibited more nuances. Although Chinese crisis governance raised efficiency and trust, aggressive accountability efforts and improper information exchange caused justice deficits and public anxiety. Draconian social control misaligned public interests and a lack of specific partnership mechanisms frustrated social participation. Reconciling institutional efficiency with civic liberties on diverse governance levels is thus expected to increase the responsiveness of pandemic control to public demands.

Workplace support for physicians during the COVID-19 Pandemic: Did it affect burnout?

BackgroundA concern before 2020, physician burnout worsened during the COVID-19 pandemic. Little empirical data are available on pandemic workplace support interventions or their influence on burnout. We surveyed a national sample of frontline physicians on burnout and workplace support during the pandemic.MethodsWe surveyed a stratified random sample of 12,833 US physicians most likely to care for adult COVID-19 patients from the comprehensive AMA Physician Professional Data ™ file. The sample included 6722 primary care physicians (3331 family physicians, 3391 internists), 880 hospitalists, 1783 critical care physicians (894 critical care physicians, 889 pulmonary intensivists), 2548 emergency medicine physicians, and 900 infectious disease physicians. The emailed survey elicited physicians’ perceptions of organizational interventions to provide workplace support and/or to address burnout. Burnout was assessed with the Professional Fulfillment Index Burnout Composite scale (PFI-BC). Proportional specialty representation and response bias were addressed by survey weighting. Logistic regression assessed the association of physician characteristics and workplace interventions with burnout.ResultsAfter weighting, respondents were representative of the total sample. Overall physician burnout was 45.4%, significantly higher than in our previous survey. Open-ended responses mentioned that staffing shortages (physician, nursing, and other staff) combined with the increased volume, complexity, and acuity of patients during the pandemic increased job demands. The most frequent workplace support interventions were direct pandemic control measures (increased access to personal protective equipment, 70.0%); improved telehealth functionality (43.4%); and individual resiliency tools (yoga, meditation, 30.7%). Respondents placed highest priority on workplace interventions to increase financial support and increase nursing and clinician staffing. Factors significantly associated with lower odds of burnout were practicing critical care (compared with emergency medicine) OR 0.33 (95% CI 0.12 – 0.93), improved telehealth functionality OR 0.47 (95% CI 0.23 – 0.97) and being in practice for 11 years or longer OR 0.44 (95% CI 0.19–0.99).ConclusionsBurnout across frontline specialties increased during the pandemic. Physician respondents focused on inadequate staffing in the context of caring for more and sicker patients, combined with the lack of administrative efforts to mitigate problems. Burnout mitigation requires system-level interventions beyond individual-focused stress reduction programs to improve staffing, increase compensation, and build effective teams.

Immunogenicity of Abdala COVID-19 vaccine in Vietnamese people after primary and booster vaccinations: A prospective observational study in Vietnam

ObjectivesWe studied the immunogenicity after primary and booster vaccinations of the Abdala COVID-19 vaccine, a receptor-binding domain protein subunit vaccine, in Vietnamese people by determining the level of neutralization and cross-neutralization activities against the ancestral SARS-CoV-2 and its variants and SARS-CoV-1. MethodsWe performed a prospective observational study, enrolling adults aged 19-59 years in Dong Thap province, southern Vietnam, and collected blood samples from baseline until 4 weeks after the booster dose. We measured anti-nucleocapsid, anti-spike, and neutralizing antibodies against SARS-CoV-2 and assessed the cross-neutralization against 14 SARS-CoV-2 variants and SARS-CoV-1. Complementary antibody data came from Vietnamese health care workers fully vaccinated with ChAdOx1-S. ResultsAfter primary vaccination, anti-spike antibody and neutralizing antibodies were detectable in 98.4% and 87% of 251 study participants, respectively, with neutralizing antibody titers similar to that induced by ChAdOx1-S vaccine. Antibody responses after a homologous (Abdala COVID-19) or heterologous (messenger RNA BNT162b2) booster could neutralize 14 SARS-CoV-2 variants (including Omicron) and SARS-CoV-1. ConclusionsAbdala COVID-19 vaccine is immunogenic in Vietnamese people. Enhanced antibody response after a booster dose could cross-neutralize 14 SARS-CoV-2 variants and SARS-CoV-1. Our results have added to the growing body of knowledge about the contribution of protein subunit vaccine platforms to pandemic control.

Persepsi Orang Tua dan Pengasuh terhadap Pemberian Imunisasi Rutin pada Balita Pasca Pandemi Covid-19

Immunization is an effective strategy of the government to reduce morbidity and mortality from Preventable Diseases by Immunization (PD3I). During the Covid-19 pandemic, this situation had a significant impact on the health sector, reducing immunization coverage rates. Currently, Indonesia is in the post-Covid-19 pandemic phase characterized by positive trends in pandemic control. This study aims to understand the perceptions of parents or caregivers regarding the provision of routine immunization to children in the post-Covid-19 pandemic era. The research method used a cross-sectional design with sampling using the quota sampling method, with a total of 100 respondents. Data were collected through a questionnaire adopting the health belief model theory to parents or caregivers who brought their children to the Posyandu for immunization. The results showed that perceptions of vulnerability (p value = 0,071), seriousness (p value = 0,121), and cues to action (p value = 0,731) had an insignificant effect on immunization for toddlers, while perceptions of benefits (p value = 0,008), barriers (p value = 0,000), and self-efficacy (p value = 0,000) had a significant effect on immunization for toddlers in the post-Covid-19 pandemic era (p value < 0.05). The components of the health belief model that form the perceptions of parents or caregivers towards immunization are interconnected, although not all are statistically significant. Therefore, perceptions of vulnerability, seriousness, and cues to action need to be improved to form a good perception of immunization after the Covid-19 pandemic

Vaccination and transportation intervention strategies for effective pandemic control

The COVID-19 pandemic highlighted the pivotal role of transportation-related controls and vaccination in mitigating widespread infections. However, the substantial costs associated with these interventions necessitate a nuanced equilibrium between control measures and infection risks. This study, driven by the recognition of spatial heterogeneities in mobility networks and epidemic vulnerability, presents an optimal control framework for two control measures—vaccine distribution and transportation restrictions—within a metapopulation structure. The overarching goal is to minimize the total costs derived from the implementation of control measures and health and opportunity loss from infection. Our findings highlight the effectiveness of transportation control and vaccine distribution in reducing both total costs and infection rates. Notably, the efficacy of these control measures exhibits regional variations, and the simultaneous implementation of both measures emerges as the most effective and economically viable strategy. The synergy effect between vaccine distribution and transportation restrictions is also a key observation in our simulations, showcasing their complementary roles in pandemic control. By considering the spatial nuances of mobility networks and infection vulnerability, this framework provides a flexible and region-specific strategy to optimize the allocation of resources for pandemic control, ultimately striking a balance between efficacy and economic feasibility.

A Study on the Institutional Context and Dynamics Surrounding the Emergence of SARS-CoV-2

This dissertation presents an in-depth analysis of the institutional context and dynamics surrounding the emergence of SARSCoV-2, the virus responsible for the COVID-19 pandemic. Focusing on the case of Brazil, the study employs a multi-disciplinary approach that integrates mathematical economics, epidemiology, and public health policy analysis. Key aspects include examining the initial outbreak in Wuhan, the virus's rapid global spread, and the specific impacts and responses in Brazil. The research employs mathematical models to understand the dynamics of virus transmission, the effectiveness of various public health interventions, and the socio-economic consequences of the pandemic. Special attention is given to Brazil's vaccination campaigns and their role in pandemic control. The findings offer valuable insights into the complexities of managing a public health crisis in a socio-economically diverse country like Brazil and underscore the importance of timely and coordinated responses to global health emergencies.