Essential Action Research Articles

Drivers of the food system based on food sovereignty domains: an integrative systematic literature review

Food sovereignty, as defined by the comprehensive definition offered in the 2007 Nyéléni Forum, encompasses essential action lines for transforming a food system based on food sovereignty principles. Understanding how current food system initiatives align with these principles is essential for identifying the necessary processes of change to drive this transformation. This study aimed to consolidate the contributions of advancements in food sovereignty to the existing literature. A systematic literature review was conducted to achieve this, analyzing 250 papers published between 2008 and 2023. The focus was on the research methods employed by the authors, food initiatives within the domains of food sovereignty, and the key drivers of a food system rooted in food sovereignty principles. The findings revealed that approximately 36% of the studies utilized interviews, surveys, and questionnaires for data collection, while 34% concentrated on targeted fieldwork through case studies. Around 19% of the studies involved in-depth interaction with specific groups, and just under 10% employed document analysis methods. The most extensively discussed domain was the use of agroecological management practices for food production, followed by the valuation of traditional knowledge, the promotion of social justice and equity, self-determination through the transformation of economic and political institutions, and the localization of food production and consumption. The food initiatives outlined overarching goals within each domain of food sovereignty, with three common goals identified across these domains: food security and consumption, environmental stewardship, and crisis preparedness. Furthermore, 29 drivers of a food system based on the domains of food sovereignty were identified, encompassing networks and a holistic approach present in all 5 domains. The study also highlights the implications for supporters of food sovereignty within the context of the identified goals of the food initiatives.

Providing Education on Basic Life Support to Increase Student Knowledge

Background: Basic Life Support (BLS) is an essential first aid action performed on individuals experiencing cardiac or respiratory arrest. The primary goal of BLS is to restore and maintain vital organ function through interventions like chest compressions and respiratory support. Knowledge, which arises from experience and observation, is enhanced through education. This process aims to improve understanding and, consequently, decision-making abilities. Purpose: The aim of this Community Service (PkM) project is to increase the knowledge of students at MAN 1 Banyumas regarding Basic Life Support. Method: The methods used in this PkM included lectures and discussions. The students' knowledge was assessed before and after the educational intervention using a structured knowledge questionnaire. Findings: The participants of this PkM were predominantly middle adolescents aged 15-17 years, with 29 participants (96.7%) falling within this age range. The majority were female, comprising 26 participants (86.7%). Most of the participants were in grade 11, accounting for 22 participants (73.3%). Before the educational intervention, the knowledge levels were as follows: Good: 2 participants (6.7%), Sufficient: 12 participants (40.0%), Poor: 16 participants (53.3%). After the BLS education, there was a marked improvement in knowledge, with all 30 participants (100%) achieving a "Good" level of knowledge. Conclusions: Education on basic life support at MAN 1 Banyumas significantly improved students' knowledge, with a higher percentage achieving a good understanding after the training.

Unveiling the mechanism of essential oil action against skin pathogens: from ancient wisdom to modern science.

Essential oils are among the most well-known phyto-compounds, and since ancient times, they have been utilized in medicine. Over 100 essential oils have been identified and utilized as therapies for various skin infections and related ailments. While numerous commercial medicines are available in different dosage forms to treat skin diseases, the persisting issues include their side effects, toxicity, and low efficacy. As a result, researchers are seeking novel classes of compounds as substitutes for synthetic drugs, aiming for minimal side effects, no toxicity, and high efficacy. Essential oils have shown promising antimicrobial activity against skin-associated pathogens. This review presents essential knowledge and scientific information regarding essential oil's antimicrobial capabilities against microorganisms that cause skin infections. Essential oils mechanisms against different pathogens have also been explored. Many essential oils exhibit promising activity against various microbes, which has been qualitatively assessed using the agar disc diffusion experiment, followed by determining the minimum inhibitory concentration for quantitative evaluation. It has been observed that Staphylococcus aureus and Candida albicans have been extensively researched in the context of skin-related infections and their antimicrobial activity, including established modes of action. In contrast, other skin pathogens such as Staphylococcus epidermidis, Streptococcus pyogens, Propionibacterium acnes, and Malassezia furfur have received less attention or neglected. This review report provides an updated understanding of the mechanisms of action of various essential oils with antimicrobial properties. This review explores the anti-infectious activity and mode of action of essential against distinct skin pathogens. Such knowledge can be valuable in treating skin infections and related ailments.

The Iron Metabolism with a Specific Focus on the Functioning of the Nervous System.

Iron is the micronutrient with the best-studied biological functions. It is widely distributed in nature, and its involvement in the main metabolic pathways determines the great importance of this metal for all organisms. Iron is required for cellular respiration and various biochemical processes that ensure the proper functioning of cells and organs in the human body, including the brain. Iron also plays an important role in the production of free radicals, which can be beneficial or harmful to cells under various conditions. Reviews of iron metabolism and its regulation can be found in the literature, and further advances in understanding the molecular basis of iron metabolism are being made every year. The aim of this review is to systematise the available data on the role of iron in the function of the nervous system, especially in the brain. The review summarises recent views on iron metabolism and its regulatory mechanisms in humans, including the essential action of hepcidin. Special attention is given to the mechanisms of iron absorption in the small intestine and the purpose of this small but critically important pool of iron in the brain.

Predictive value of procollagen c-protease enhancer protein on the prognosis of glioma patients

Procollagen c-protease enhancer protein (PCOLCE) performs an essential action in improving the recreation of procollagen c-protease and promoting the reconstruction of extracellular matrix. High PCOLCE expression was associated with a negative prognosis of stomach cancer, ovarian cancer, and osteosarcoma. The goal of this work is to investigate the function of PCOLCE in glioma. Multiple bioinformatics techniques have been employed to investigate the roles of PCOLCE in glioma, consisting of the correlation between PCOLCE and prognosis, immune checkpoints, immune cell infiltrates, and tumor microenvironment (TME). The gene ontology (GO) annotations and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses were used to assess the potential function of PCOLCE in glioma. PCOLCE was found to be increased in glioma. We revealed that PCOLCE was a potential prognostic factor and related to tumor grade. Up-regulated PCOLCE was related to poor prognosis in lower-grade glioma (LGG), glioblastoma multiforme (GBM), and recurrent glioma. PCOLCE was correlated with immune cell infiltration, particularly B cells, CD4+ T cells, macrophages, neutrophils, and dendritic cells (DCs) in LGG, and DCs infiltration in GBM. PCOLCE was co-expressed with many genes related to the immune and the immune checkpoint. In addition, glioma patients with low expression of PCOLCE had a higher response to the immunological checkpoint blockade (ICB). Additionally, PCOLCE may exert its roles via several immune-related biological processes or pathways, such as leukocyte migration, activation of T cells, adaptive immune response, neutrophil-mediated immunity, NF-κB, and TNF signaling pathways. In conclusion, PCOLCE may be a new immune-related gene and regulate tumor development through immunological pathways.

Invasive alien plant brush piles reduce invasive seedling growth and increase animal abundance

Management of alien invasive species is an essential action necessary to help reverse biodiversity loss. Here, we measure the effectiveness of brush piles constructed from invasive alien plant material to suppress the growth of invasive plant seedlings. We found invasive seedling recruitment was fully suppressed in brush pile plots compared to control plots due to suboptimal growth light and temperature conditions created by the piles. Further, brush piles supported 2‐fold to +7‐fold more animals than control plots. This method offers a promising solution for restoration practitioners' need for accessible, low‐cost management intervention for the on‐site disposal of removed plant biomass, which we demonstrated can also enhance native wildlife abundance.

The practice of key messages for optimal breastfeeding and associated factors among lactating mothers in the Boset District, Oromia, Ethiopia.

Inadequate breastfeeding can lead to significant morbidity, mortality, and long-term adverse health outcomes. Key messages promoting optimal breastfeeding are integral to Essential Nutritional Action, aimed at improving children's nutritional status, especially those under the age of two. However, there is a dearth of data regarding the extent to which lactating mothers adhere to these key messages and the associated factors. Therefore, this study aimed to assess the level of practice of key messages for optimal breastfeeding and identify associated factors among lactating mothers living in the Boset District, Oromia, Ethiopia. A community-based cross-sectional study was conducted among 418 lactating mothers from January 1st to February 28th, 2022. The participants were selected using a systematic random sampling technique, and data were collected through interviewer-administered questionnaires. The collected data were entered into Epi Info version 7 and exported to SPSS version 25 for analysis. Binary logistic regressions were performed to examine the association between independent and dependent variables. Adjusted Odds Ratios with a 95% confidence interval were used to estimate the strength of the associations and statistical significance was declared at a p-value < 0.05. The overall level of practice of key messages for optimal breastfeeding was 63.9% (95% CI: 59.1-68.2). The odds of practicing key messages for optimal breastfeeding were higher for mothers who attended antenatal care four times or more (AOR = 2.7, 95% CI: 1.4-5.3), received counseling on breastfeeding during postnatal care (AOR = 3.7, 95% CI: 2.2-6.4), had a good knowledge of breastfeeding (AOR = 6.2, 95% CI: 3.6-10.7), and had a favorable attitude toward breastfeeding (AOR = 6.1, 95% CI: 3.5-10.6). Breastfeeding key message practices among lactating mothers in the study area fell below the recommended universal coverage of 90%. Factors identified included the number of antenatal care visits, counseling on breastfeeding, level of knowledge, and attitude toward breastfeeding. Promoting regular antenatal visits, providing thorough postnatal counseling, and enhancing knowledge and attitudes are crucial for improving optimal breastfeeding practices.

Practice of key essential nutrition action messages and associated factors among mothers of children aged six months to two years old in Karat town, Konso zone, South Ethiopia, 2024: a community-based cross-sectional study.

Key essential nutrition actions (ENA) messages are a comprehensive and evidence-based nutritional package designed to improve the nutritional status during the critical first 1,000 days of life. The poor practice of ENA contributes significantly to mortality and morbidity related to malnutrition in young children. However, there is a dearth of studies focusing on the practice of key ENA messages among mothers and the factors associated with their practice. Therefore, this study aimed to assess the practice of key ENA messages among mothers of children aged 6 months to 2 years in Karat town, Konso zone, South Ethiopia in 2024. A community-based cross-sectional study involving 421 mothers of children aged 6 months to 2 years was conducted in Karat town, Konso zone, South Ethiopia from January 15 to February 29, 2024. Respondents were chosen using computer-generated random numbers. A structured, pretested, and interviewer-administered questionnaire was used to collect data. Following coding and entry into EpiData 3.1, the data were exported to SPSS version 25 for analysis. Logistic regression (bivariate and multivariable) was employed to identify factors influencing mothers' practice of key ENA messages, and statistical significance was set at p < 0.05 with a 95% confidence interval. The study found that 47.6% (95% CI: 42.8, 52.42%) of mothers demonstrated good practices. Having secondary education or higher, institutional delivery, receiving nutritional counseling during antenatal care (ANC), receipt of postnatal care (PNC) services, having good knowledge, and having a good attitude towards ENA all increase the likelihood of good practice. This study emphasizes the need for multifaceted interventions to improve ENA practice among mothers residing in Karat town. To effectively address this issue, it is crucial to implement targeted education programs, strengthen postnatal care services, and nutritional counseling into routine antenatal care, promote institutional deliveries, and enhance awareness.

2.E. Workshop: Cross-sectoral action on climate change and health: Insights from national public health institutes

Abstract Climate change poses a significant threat to health and wellbeing worldwide and requires urgent action. The World Health Organization's COP26 report, ‘The Health Argument for Climate Action’, underscores the broad range of health impacts that countries already face, such as death and illness from increasingly frequent extreme weather events, increases in food-, water- and vector-borne diseases, and mental health issues (WHO, 2021). Addressing this complex challenge, however, offers an opportunity for progress towards better planetary health. National Public Health Institutes (NPHIs) play a valuable role in promoting the health and wellbeing of populations and are well-positioned to address the nexus of climate change and health, given their expertise in surveillance and monitoring, research and emergency response, and providing evidence-based recommendations to policymakers. The purpose of this workshop is to share concrete examples of ongoing efforts, challenges, and experiences by NPHIs related to climate change, health, and adaptation and mitigation measures. The objectives of the workshop are: to highlight the “health argument” for addressing climate change, as promoted by the World Health Organization; to showcase the cross-sectoral nature of NPHIs’ work; and to inspire other actors and stakeholders to consider how they could integrate and address climate change and health in their own disciplines, including also biodiversity loss, and related planetary health issues. We will cover examples spanning NPHIs’ engagement and support for cross-sectoral collaboration, forming effective networks to facilitate coordination, and ensuring health is at the centre of climate policies and actions. The workshop will feature presentations by NPHIs from France (Santé publique France), Germany (Robert Koch Institute), and the Netherlands (National Institute for Public Health and the Environment) as well as a presentation by the European Climate and Health Observatory. The perspective of the European Climate and Health Observatory offers Europe-wide insights as a provider of tools and knowledge that support actions from NPHIs and other health actors. The format of the workshop will be informative and interactive, with opportunity for Q&amp;A and a discussion with the audience. By showcasing the role of NPHIs and the European Climate and Health Observatory, the workshop aims to increase awareness and understanding of the importance of applying a public health lens as a key component of climate change and health strategies. In conclusion, this workshop offers a unique opportunity to highlight how national and global actors engage in cross-sectoral efforts tackling climate change and ensuing health impacts that, in turn, may motivate other health actors, including those taking part in the workshop, to take essential action to promote planetary health. Key messages • Cross-sectoral collaboration is essential to tackle the health impacts of climate change. • NPHIs can offer examples to other health actors on how to integrate climate mitigation and adaptation efforts in their work and how to integrate health into climate measures in other sectors.

A review of robotic grasp detection technology

AbstractIn order to complete many complex operations and attain more general-purpose utility, robotic grasp is a necessary skill to master. As the most common essential action of robots in factory and daily life environments, robotic autonomous grasping has a wide range of application prospects and has received much attention from researchers in the past decade. However, the accurate grasp of arbitrary objects in unstructured environments is still a research challenge that has not yet been completely overcome. A complete robotic grasp system usually involves three aspects: grasp detection, grasp planning, and control subsystem. As the first step, identifying the location of the object and generating the grasp pose is the premise of successful grasp, which is conducive to planning the subsequent grasp path and the realization of the entire grasp action. Therefore, this paper conducts a literature review focusing on grasp detection technology and concludes two significant aspects: the analytic and data-driven methods. According to the previous grasp experience of the target object, this paper divides the data-driven methods into the grasp of known and unknown objects. Then it describes in detail the typical grasp detection methods and related characteristics of each classification in the grasp of unknown objects. Finally, current research status and potential research directions in this field are discussed to provide some reference for related research.

SVMDnet: A Novel Framework for Elderly Activity Recognition based on Transfer Learning

Elderly Activity Recognition has become very crucial now-a-days because majority of elderly people are living alone and are vulnerable. Despite the fact that several researchers employ ML (machine learning) and DL (deep learning) techniques to recognize elderly actions, relatively lesser research specifically aimed on transfer learning based elderly activity recognition. Even transfer learning is not sufficient to handle the complexity levels in the HAR related problems because it is a more general approach. A novel transfer leaning based framework SVMDnet is proposed in which pre-trained deep neural network extracts essential action features and to classify actions, Support Vector Machine (SVM) is used as a classifier. The proposed model is evaluated on Stanford-40 Dataset and self-made dataset. The older volunteers over the age of 60 were recruited for the main dataset, which was compiled from their responses in a uniform environment with 10 kinds of activities. Results from SVMDnet on the two datasets shows that our model behaves well with human recognition and human-object interactions as well.

Play of children and adolescents in foster care institutions in a city in southern Brazil

This study aimed to identify the manifestation of play of children and adolescents from the perspective of professionals from foster care institutions in a city in southern Brazil. It is characterized as a field study, descriptive and exploratory, with a qualitative approach to analysis. Ten employees from three foster care institutions participated in semi-structured interviews. Collected data were organized using NVivo 13 software and analyzed using Bardin’s content analysis technique. The results were grouped, presented, and discussed in two categories: “Manifestation of play of institutionalized children and adolescents” and “The influence of previous experiences on the manifestation of play.” From these categories, it was possible to identify that playing is an essential action in foster care institutions, serving as a way of re-signification of experiences and affirmation of children and adolescents as beings worthy of a full childhood and adolescence.

Slow feature subspace: A video representation based on slow feature analysis for action recognition

This paper proposes a new video representation for subspace-based action recognition. Traditional subspace-based methods represent a video as a subspace by applying principal component analysis (PCA) to its frames. However, this subspace might lead to an imprecise representation of actions, as PCA loses the temporal information of frames. Therefore, we introduce the slow feature subspace based on the slow feature analysis (SFA). SFA extracts a set of slow features of an input video by projecting the video frames onto the weight vectors that minimize the data variance over time. Motivated by these properties, several methods based on SFA were proposed for action recognition. However, they do not explicitly consider the distribution of the slow features, which represents essential action information. Therefore, our key idea is to capture this distribution through a low-dimensional subspace called slow feature subspace. Our subspace is generated by applying PCA to several weight vectors corresponding to the slowest components obtained by SFA. Our framework replaces the subspaces of several traditional mutual subspace methods with our slow feature subspace to improve their results in action recognition. This approach transforms the comparison between two videos into the comparison between two slow feature subspaces using the canonical angles between them, avoiding vector concatenation and data aggregation. The effectiveness of our framework is demonstrated through extensive experiments with various datasets. Our results show that our slow feature subspace can improve the traditional subspace-based methods and achieve competitive performance compared to different methods, including state-of-the-art neural networks.

The myth of the market queens: A case study of women and power in Ghanaian markets

Markets in Ghana are largely managed by female traders organized into groups headed by a leader, often referred to as ‘market queens’ (MQs). In the public perception and in the limited literature, MQs have a negative connotation and are described as ‘cartel’ and ‘mafia’ institutions. This study aims to empirically assess their role in the market and society. Contrary to the current literature, our results show that MQs do not leverage their power to set market prices, but instead provide an important informal safety-net. They represent a crucial link to producers and are decisive for food security, as well as for the stability and resilience of the food system. Market women are perceived as powerful, yet they are neglected in the literature on gender and value chains. The findings challenge the negative portrayal of MQs and highlight the need to recognize market women as essential collective action, credit and savings groups.

Toward a One Health Surveillance System in Cuba: Co-Productive Stakeholder Engagement

Abstract We advocate for a holistic approach to building resilience against health hazards in Cuba by improving cross-sectoral and transdisciplinary collaboration. As a step in this direction, we conducted participatory workshops to design two One Health Surveillance Systems (OHSS): (i) for Influenza viruses with zoonotic/pandemic potential and (ii) for Antimicrobial Resistance (AMR). We engaged multiple stakeholders and used a Constellation Analysis (CA) tool to identify and visualize the elements of the ongoing veterinary and public health surveillance systems that are currently in place for AMR and Influenza. The stakeholders also delivered innovative insights regarding their views on the future OHSS. The participatory workshops consisted of four stages: (1) description of the case studies and their impact in Cuba; (2) validation of pre-designed CAs; (3) focus group discussions about the future OHSS; and (4) listing and discussing essential action points to develop and implement an OHSS. The workshops encompassed several group discussions and plenary sessions. The discussions were guided by a set of questions and supported by the CA tool. In both studies, we found that the transdisciplinary approach of the CA was suitable for encouraging group and plenary discussions. Stakeholder engagement is essential for the co-production of viable solutions to address complex health problems. Overall, this case illustrates how transdisciplinary research enables rapid co-production of knowledge among stakeholders that can inform both policy and practice. Information © The Authors 2023

Online attention dynamics: The triangle framework of theory, big data and simulations

In computational social science era, the theory, big data and simulations should be well combined and deeply integrated, and this work serves as a typical example. Online collective actions have great impacts to societies, and we focus on the life cycle pattern of coexisting multiple online cases. We propose the analysis framework of “Theory-Big Data-simulation” (TDS). The theory includes two essential action rules of netizens. We combined macro-level analysis (big data analysis) and micro-level behavior (agent-based modeling), to surpport the theory. For the big data, macro-level life cycle pattern (persistent) is caused by micro-level individual actions. For macro-level verification, basic assumption is that netizens are allocating limited attentions to limited coexisting online events, which has been supported by our big data from the Weibo platform (N=197,985). For the micro-level, we use agent-based modeling to verify the behavioral rules of Netizens. We set two agent categories (Netizens & Hots), which behave and interact autonomously. Based on multiple-round simulations, we obtained optimal solution outcomes. Besides, we have implemented mutual validation between big data and agent-based modeling, which has not been considered before. Three big data sets have been applied to check both validity and robustness of our solutions. For the dataset A, we use 89 online cases of the Shaanxi Province in China. For the dataset B, we used 147 online cases of the whole China in 2021. For the dataset C, we used 138 online cases under specific topic (the pandemic). It suggests that three optimal solutions have both validity and robustness. As three big data sets have different levels, cases, topics and durations, the model’s generality can be well supported. Hence, general behavior pattern of the Netizens can be revealed, which is of great significance for investigating human behavior online. Moreover, our work contains rich managerial implications, which helps to improve social simulation and prediction. Also, our TDS analysis framework can support or inspire other researches.

Community Intervention for the Eradication of Early Marriages in the Municipality Of Bondoukou (Ivory Coast)

Preserving the period of adolescence for young girls is an essential action for their development and well-being. When they have the opportunity to study and exercise a profession knowing their rights, the social, economic and political development of their country would be accelerated. Unfortunately, the phenomenon of early marriage compromises the development of adolescent girls. This study aims to explain the mechanisms advocated by the population of Bondoukou in the fight against early marriage. The data collected is based on both qualitative and quantitative surveys carried out in the municipality of Bondoukou. They show that the strategies of local communities rely on the commitment of community leaders. The strategies of the institutional or non-institutional structures result in the creation of a platform and the synergy of the action initiated by the non-governmental organizations, the social center and the security forces. The data also indicates the presence of support structures for victims of early marriage. The schooling and empowerment of young girls and the involvement of victims are appropriate and dynamic solutions for respondents in the fight against early marriage.

The Impact of COVID-19 Pandemic on Labor Market Perspectives for Management Undergraduates: New Models of Employability Capital Development

Introduction. COVID-19 is a worldwide epidemic that impacts all aspects of human life. Social distancing was an essential action to prevent from COVID-19 virus. For this reason, collective activities were prohibited in many countries including Sri Lanka. Education is one of the main collective activities in the world. As such, it is relevant to test the influence of COVID-19 on graduate employability skills. However, it is difficult to find COVID 19 impact on graduate employability skills in the Sri Lankan context.&#x0D; Aim and tasks. The main objective of this paper was to identify the effect of the COVID-19 pandemic on the graduate employability capital of state universities’ management undergraduates in Sri Lanka and the significant level of that factor.&#x0D; Results. Based on the literature review, the COVID-19 pandemic affected five factors human capital, identity capital, cultural capital, social capital, and psychological capital identified as graduate employability capital factors or not. The methods of the study were to use the analysis of quantitative data. To achieve this goal, an online survey of 377 university students was conducted. The obtained selective results in the context of the COVID-19 pandemic showed significant positive shifts in the employment processes of university graduates. This positive impact, according to the results of the regression analysis, was provided by the following types of capital: social, human, psychological, cultural, and identity, the values of which ranged from 91.4 percent to 95.8 percent. Among all types of capital, human and psychological capital had the most significant impact on student mobility.&#x0D; Conclusions. The conducted studies show the importance of the online educational system in the universities of Sri Lanka. The use of available resources can significantly improve the existing infrastructure of online education and help increase the level of competence and professionalism of the teaching staff and university students. The introduction of the proposed online educational programs and courses will not only improve the quality of services provided but will also increase the revenue side of the university budget.

Elucidating the molecular mechanisms of essential oils' insecticidal action using a novel cheminformatics protocol

Essential oils (EOs) are a promising source for novel environmentally safe insecticides. However, the structural diversity of their compounds poses challenges to accurately elucidate their biological mechanisms of action. We present a new chemoinformatics methodology aimed at predicting the impact of essential oil (EO) compounds on the molecular targets of commercial insecticides. Our approach merges virtual screening, chemoinformatics, and machine learning to identify custom signatures and reference molecule clusters. By assigning a molecule to a cluster, we can determine its most likely interaction targets. Our findings reveal that the main targets of EOs are juvenile hormone-specific proteins (JHBP and MET) and octopamine receptor agonists (OctpRago). Three of the twenty clusters show strong similarities to the juvenile hormone, steroids, and biogenic amines. For instance, the methodology successfully identified E-Nerolidol, for which literature points indications of disrupting insect metamorphosis and neurochemistry, as a potential insecticide in these pathways. We validated the predictions through experimental bioassays, observing symptoms in blowflies that were consistent with the computational results. This new approach sheds a higher light on the ways of action of EO compounds in nature and biotechnology. It also opens new possibilities for understanding how molecules can interfere with biological systems and has broad implications for areas such as drug design.

Management in MAEPS 2.0 Quarantine Centre: Burnout and Quality of Life of MOH Healthcare Workers

Objectives: Malaysia Agro Exposition Park Serdang, MAEPS was established as a COVID-19 Quarantine and Low-Risk Treatment Centre that was aimed to reduce the burden of hospitals. Various categories of healthcare workers (HCWs) were deployed nationwide. Being far from home and friends, working in an unfamiliar environment, and being concerned about one's own risk of COVID-19 exposure may exacerbate burnout in HCWs or affect their quality of life. Assessment on burnout and quality of life among MOH HCWs stationed at MAEPS 2.0 and the management of the healthcare workforce during the pandemic are shared. Methods: A cross-sectional survey was conducted between September 2021 to May 2022. The Copenhagen Burnout Inventory and the World Health Organization Quality of Life questionnaire were used to assess burnout and quality of life of MOH HCWs respectively. The Checklist for the Management of Health Workers in Response to COVID-19 consisting of 8 Essential Actions was given to heads of divisions in charge to obtain their perspective. One point assigned to the intervention answered “Yes” by the majority of respondents. Cumulative marks were then converted to percentages according to each Essential Action. Results: The rate of burnout ranged between 18% to 32% among the 377 respondents. Majority of HCWs had a good and very good perception of their quality of life and were satisfied with their overall health. There were moderate to strong correlations (r = - 0.44 - 0.67) between burnout and quality of life (p&lt;0.001). More than half of the eight Essential Actions in the checklist scored 100%. Conclusion: Management of workers is important to ensure preparedness for response, enhance surge capacity and maintain crucial health services during the pandemic. Some HCWs experienced burnout and it relates to their quality of life. Nonetheless, MOH HCWs management at MAEPS 2.0 was managed with minimum gaps against the checklist.International Journal of Human and Health Sciences Supplementary Issue: 2023 Page: S18