Relationship of Vaccination History and Pregnancy Health Protocol Compliance with Positive Antigen Test Result at Community Health Center in Medan, Indonesia

BACKGROUND: A comprehensive screening at delivery revealed that roughly 14% of pregnant women who tested positive for COVID-19 did not exhibit any symptoms. The SARS-CoV-2 antigen swab test is frequently utilized as a diagnostic technique. Inadequate implementation of health protocol compliance can enhance the vulnerability of a community to the COVID-19 virus, according to previous findings. This suggests that these health protocol compliance and the vaccination program are important for preventing and controlling the spread of the virus. AIM: This study aims to determine the relationship of vaccination history and health protocol compliance with positive antigen swab results among pregnant women at the Community Health Center in Medan. METHOD(S): This is a cross-sectional and observational study that was conducted in February 2022 at the Community Health Center in Medan, North Sumatra, Indonesia. Two hundred pregnant women who met the inclusion and exclusion criteria make up the sample population. Antigen sampling for SARS-CoV-2 was performed in the Pramita laboratory. Following the collection and processing of sample and antigen swab data, IBM SPSS version was utilized to conduct statistical analysis. RESULT(S): The result showed that four of the pregnant women were infected with COVID-19, and they accounted for 2% of the sample population. The health protocol carried out by pregnant women was not significantly related to the swab results. Therefore, vaccination history had no significant association with COVID-19 symptoms, but people who received vaccines had more negative swab test results compared to those who did not, where three out of four positive samples were unvaccinated. CONCLUSION(S): Based on the results, only 2% of pregnant women were infected with COVID-19 at the Community Health Centre in Medan, because this study was carried out when COVID-19 cases had decreased. The statistical analysis results showed that the history of vaccination was not significantly related to SARS-CoV-2 antigen swab results. However, there was a clinical tendency that vaccines can reduce the number of positive cases, where three out of four positive samples were not vaccinated.Copyright © 2023 Sarma Nursani Lumbanraja, Reni Hayati, Khairani Sukatendel, Johny Marpaung, Muhammad Rusda, Edy Ardiansyah.

Time series prediction of novel coronavirus COVID-19 data in west Java using Gaussian processes and least median squared linear regression

In 2019, the COVID-19 epidemic swept throughout the globe. The virus was first identified in Wuhan, China. By the time several months had gone by, this virus had spread to numerous locations throughout the world. Consequently, this virus has become a worldwide pandemic. Multiple efforts have been made to limit the transmission of this virus. A possible course of action is to lock down the territory. Unfortunately, this strategy wrecked the economy, worsening the terrible situation. The world health organization (WHO) would breathe a sigh of relief if there were to be no new cases. However, the government should explore employing data from the future in addition to the data it already has. Prediction of time series may be utilized for this purpose. This study indicated that the Gaussian processes method outperformed the least median squared linear regression method (LMSLR). Applying a Pearson VII-based global kernel produces MAE and RMSE values of 23.12 and 53.43, respectively.(c) 2023 by the authors;licensee Growing Science, Canada.

Time series prediction of novel coronavirus COVID-19 data in west Java using Gaussian processes and least median squared linear regression

In 2019, the COVID-19 epidemic swept throughout the globe. The virus was first identified in Wuhan, China. By the time several months had gone by, this virus had spread to numerous locations throughout the world. Consequently, this virus has become a worldwide pandemic. Multiple efforts have been made to limit the transmission of this virus. A possible course of action is to lock down the territory. Unfortunately, this strategy wrecked the economy, worsening the terrible situation. The world health organization (WHO) would breathe a sigh of relief if there were to be no new cases. However, the government should explore employing data from the future in addition to the data it already has. Prediction of time series may be utilized for this purpose. This study indicated that the Gaussian processes method outperformed the least median squared linear regression method (LMSLR). Applying a Pearson VII-based global kernel produces MAE and RMSE values of 23.12 and 53.43, respectively. © 2023 by the authors;licensee Growing Science, Canada.

Factors Affecting Customer Satisfaction and Loyalty in Online Food Delivery Service during the COVID-19 Pandemic: Its Relation with Open Innovation

Online food delivery service (OFDS) has been widely utilized during the new normal of the COVID-19 pandemic, especially in a developing country such as Indonesia. The purpose of this study was to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of the COVID-19 pandemic in Indonesia by utilizing the extended theory of planned behavior (TPB) approach. A total of 253 respondents voluntarily participated and answered 65 questions. Structural equation modeling (SEM) indicated that hedonic motivation (HM) was found to have the highest effect on customer satisfaction, followed by price (P), information quality (IQ), and promotion (PRO). Interestingly, this study found out that usability factors, such as navigational design (ND) and perceived ease of use (PEOU) were not significant to customer satisfaction and loyalty in OFDS during the new normal of COVID-19. This study can be the theoretical foundation that could be very beneficial for OFDS investors, IT engineers, and even academicians. Finally, this study can be applied and extended to determine factors influencing customer satisfaction and loyalty in OFDS during the new normal of COVID-19 in other countries.

Effects of Covid-19 Cultural Change on Employee Performance: A Cross-Sectional Study in Jakarta, Indonesia

This study aims to determine changes in employee performance after Covid 19 slowly began to change from a pandemic to an endemic regarding compassion, employee involvement, job satisfaction, and commitment. The sample used in this study was 200 employees working in the Jakarta area. The research data was collected through a questionnaire distributed in a Google Form. The sampling technique used the Non-Probability Sampling Analysis Model with the Purposive Sampling technique. The data processing method is quantitative and associative with survey and SEM methods. This study shows that employee engagement has an effect on employee job satisfaction and work commitment. Compassion influences employee job satisfaction. Job satisfaction affects employee performance. However, on the other hand, compassion has no effect on employee performance and work commitment. Employee engagement has no effect on performance. Work commitment has no effect on employee performance. © 2022 by author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0 International License.

Risk of Viral Infectious Diseases from Live Bats, Primates, Rodents and Carnivores for Sale in Indonesian Wildlife Markets.

Southeast Asia is considered a global hotspot of emerging zoonotic diseases. There, wildlife is commonly traded under poor sanitary conditions in open markets; these markets have been considered 'the perfect storm' for zoonotic disease transmission. We assessed the potential of wildlife trade in spreading viral diseases by quantifying the number of wild animals of four mammalian orders (Rodentia, Chiroptera, Carnivora and Primates) on sale in 14 Indonesian wildlife markets and identifying zoonotic viruses potentially hosted by these animals. We constructed a network analysis to visualize the animals that are traded alongside each other that may carry similar viruses. We recorded 6725 wild animals of at least 15 species on sale. Cities and markets with larger human population and number of stalls, respectively, offered more individuals for sale. Eight out of 15 animal taxa recorded are hosts of 17 zoonotic virus species, nine of which can infect more than one species as a host. The network analysis showed that long-tailed macaque has the greatest potential for spreading viral diseases, since it is simultaneously the most traded species, sold in 13/14 markets, and a potential host for nine viruses. It is traded alongside pig-tailed macaques in three markets, with which it shares six viruses in common (Cowpox, Dengue, Hepatitis E, Herpes B, Simian foamy, and Simian retrovirus type D). Short-nosed fruit bats and large flying foxes are potential hosts of Nipah virus and are also sold in large quantities in 10/14 markets. This study highlights the need for better surveillance and sanitary conditions to avoid the negative health impacts of unregulated wildlife markets.

Detection of SARS-CoV-2 in the Air, Surface, and Workers in Receiving Area of COVID-19 Diagnostic Laboratory at National Institute of Health Research and Development (NIHRD)

The World Health Organization has already announced that The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus has become a pandemic in early 2020.The Pandemic began in Wuhan, China, and quickly spread to other countries. Coronavirus Disease 2019 (Covid 19) can infect anyone and cause various symptoms, ranging from mild to severe symptoms, or possibly no symptoms. The transmission of Covid 19 can occur through droplet infections, coughing or exhaling from person to person. Infectious microparticles are spread on the surfaces of surrounding objects, causing the transmission of diseases. The Laboratory of Basic Technology Center for Biomedical and Health, National Institute of Health and Research and Development, is a referral laboratory Covid 19. It collects all specimens in the form of nasopharyngeal swabs, throat swabs, sputum, and blood. The COVID-19 specimen receiving room is a place where procedures including receiving, unloading, arranging, and labeling specimens along with their accompanying forms that cause a source of infection. This study aims to see if the SARS-CoV-2 is present in the specimen receiving room. The targets of tests are all surface areas (floor, wall, door handle), air conditioners, air circulation, and receiving workers. In total, there are 24 samples, 14 of which are surface swabs, three swabs from receiving workers (respiratory tract) and seven air samples. Samples were stored in transport VTM medium. The examination was carried out using multiplex real-time PCR targeting N1 and N2 genes. The results showed that all swab specimens were negative for Covid 19. Conclusion;the specimen from receiving room and the workers were free from the SARS-CoV-2. © 2023 American Institute of Physics Inc.. All rights reserved.

Employee Communication and Employee Engagement after Covid-19 Pandemic

This study aims to determine changes in employee performance after the Covid-19 curve began to decline regarding com-munication factors, employee involvement, job satisfaction and work commitment. The research sample is two hundred em-ployees in Jakarta. The sampling technique uses the Non-Probability Sampling Analysis Model with the Purposive Sampling technique. The quantitative associative survey method and Structural Equation Modeling (SEM) concerning the basic theory to get accurate results. This study shows that communication directly affects employee performance and job satisfaction. Meanwhile, employee involvement affects work commitment and job satisfaction, employee performance. Both job satisfac-tion and work commitment do not directly affect employee performance. The implication of this research is that organizations should improve employee communication and engagement so that employees understand the relationship between their job contributions and overall business goals.

Communicating the High Susceptible Zone of COVID-19 and its Exposure to Population Number through a Web-GIS Dashboard for Indonesia Cases

The Medical Geographic Information System (Medical GIS) application during the COVID-19 pandemic crisis has become influential in communicating disease surveillance for health practitioners and society. The Johns Hopkins University has extensively used a well-known Web-GIS dashboard to track the COVID-19 cases since January 22 and illustrates the location and number of confirmed COVID-19 cases. Unfortunately, the dashboard particularly for Indonesian cases is only represented by one point (dot map) placed on the centroid of the Indonesian archipelago. Further research can fill the gap in downscaling the geographical location data of COVID-19 cases to the cities or even the village level in Indonesia and communicating the susceptible zoning to society. We uplift the point COVID-19 cases data to susceptible zoning gathered from official COVID-19 government websites, process it using Geographic Information System analysis, and communicate it to society through a Web-GIS dashboard. Five datasets, i.e., population data, administrative boundary, Landsat 8 OLI satellite imagery, COVID-19 cases geographic location, transportation infrastructure, and crowded places location, are used to analyze the susceptible area. Due to different standard data sources from each province in Indonesia, we only present provinces in Java Island with complete COVID-19 cases data on villages-scale. The technical challenges and future improvement in developing the national dashboard of Web-GIS-based susceptibility dashboard are also discussed. The dashboard information would further add some essential information for society to explore their zone status in adapting to the “New Normal” using the SICOVID-19 dashboard from their computers or gadgets during the pandemic crisis. © 2022,International Journal of Technology. All Rights Reserved.

Bidikmisi Students' Perspectives on Online Distance Learning during Covid-19 Pandemic Lockdown at Sriwijaya State Polytechnic

During the outbreak of the Covid 19 pandemic, educational systems around the world had been disrupted, and as a result, lecturers and Bidikmisi students had to conduct teaching and learning processes from home. This study aimed to investigate the perspectives of Bidikmisi students on online distance learning during the lockdown at Sriwijaya State Polytechnic due to the Covid 19 pandemic. The study was carried out with the mixed method. The researchers asked 85 students from two different intensive English courses to complete a five-point Likert scale questionnaire on the Online Learning Environment Survey (OLES), and answer six open-ended questions distributed using google form. The sample comprised 85 bidikmisi students from nine departments- not only Engineers in civil, mechanical, chemical, computer, electrical and computer information systems, but also Business Administration, Accounting, Informatics Management, and English. The finding of this study revealed that some of bidikmisi students positively accepted this online distance learning, but most of them negatively revealed that bidikmisi students faced some challenges with online distance learning;they preferred face-to-face classes. The study concluded with a recommendation that the findings of this study can assist policymakers and lecturers in developing effective or efficient teaching strategies for overcoming situations or for bidikmisi students.

Navigation Robot Covid With 3D LiDAR Using RTAB-MAP Method

The current pandemic has had a profound impact on people’s daily lives. This is because the COVID-19 virus is spread through the air. Technology such as autonomous robots can be the best solution to contain the spread of COVID-19. This study aims to develop an autonomous robot using 3D LiDAR to obtain 3D mapping. The method used is to use RTAB-MAP, namely the 3D SLAM method to get the mapping results. The result of this paper is that 3D LiDAR using RTAB-MAP gets good results when 3D LiDAR conditions are at a height of 150cm and 180cm with 18W lamp lighting.

Analysis of the Online Natural Science Learning Implementation at Elementary Schools in Central Java Province During Covid-19 Pandemic

As an alternative to learning in overcoming the COVID-19 crisis, online learning is carried out through learning applications and social media. This online learning requires teachers to effectively convey material from various subject matters, primarily material with experimental characteristics, such as natural science. For this reason, this study aims to analyze the online natural science learning implementation in elementary schools in Central Java Province during the COVID-19 pandemic. This exploratory study research used a qualitative descriptive approach, and the data were collected through a questionnaire. Respondents involved were teachers from grades 1 to 6, totaling 50 teachers from 15 regencies in Central Java who taught natural science learning in elementary schools. The data collection method in this study was in the form of a multiple-choice questionnaire, distributed by purposive sampling via a google form. Data analysis was then carried out with interactive analysis. The results revealed that scientific attitude was a supporting factor for students in mastering process skills efficiently. However, the study results also uncovered that the mastery of scientific attitudes in elementary school students was still low. It was due to several things: the use of text media more dominant than the natural environment as a process of seeking knowledge, low student motivation, broad material but limited teaching time, and the use of learning models that had not been able to adapt to the material characteristics and student needs. © 2021 ACM.

Detection of causative agents of bacterial pneumonia in hospitalized hajj and umrah cases by multiplex real-time polymerase chain reaction.

Background and Objectives: Middle East Respiratory Syndrome Coronavirus (MERS-CoV) is commonly detected in pneumonia patients who travel from the Middle East regions. Besides MERS-CoV, many other pathogenic agents cause pneumonia. Detection of such organisms must be done swiftly, especially in case of the negative MERS-CoV samples. The aim of this study was to identify the pathogenic agents that might account for bacterial pneumonia, from Hajj and Umrah pneumonia cases. Materials and Methods: We conducted a cross-sectional study, 38 pneumonia clinical samples from suffering of Hajj and Umrah in 2017 with negative MERS-CoV were selected. The laboratory testing was done at National Reference Laboratory in Jakarta and performed by multiplex real-time PCR using a FTD respiratory pathogens. Results: Haemophilus influenzae (26.4%) was the most frequent bacteria detected. Other causative agents of bacterial pneumonia identified were Moraxella catarrhalis (20.8%), Klebsiella pneumoniae (13.2%), Streptococcus pneumoniae (9.4%), and Staphylococcus aureus (5.7%). From 38 samples showed that 25 (65.79%) samples were positive with bacteria, including five samples with coinfection. The coinfection were combinations among S. aureus and S. pneumoniae (1/20), S. pneumoniae and K. pneumoniae (1/20), S. pneumoniae and M. catarrhalis (2/20), S. pneumoniae and H. influenzae (2/20), K. pneumoniae and H. influenzae (5/20), and M. catarrhalis and H. influenzae (5/20). Conclusion: Haemophilus influenzae is the most recurrent bacteria to be identified in samples of pneumonia of hajj and umrah cases.

MUC5AC genetic variation is associated with tuberculosis meningitis CSF cytokine responses and mortality (preprint)

ABSTRACT Rationale Lung mucins are an understudied component of the mucosal immune response and may influence tuberculosis pathogenesis and outcomes. Objectives To assess if variants in lung mucins MUC5B and MUC5AC are associated with Mycobacterium tuberculosis immune responses, susceptibility, and outcomes. Methods We characterized four haplotype tagging single nucleotide polymorphisms (SNPs) in MUC5B and MUC5AC for association with log 2 TNF concentrations in cerebral spinal fluid (CSF) from TBM patients. SNPs associated with CSF TNF concentrations were carried forward for analyses of pulmonary and meningeal TB susceptibility and TBM mortality. Measurements and Main Results MUC5AC SNP rs28737416 T allele was associated with lower CSF concentrations of TNF(p=1.8*10 −8 ) and IFNγ(p=2.3*10 −6 ), and higher TBM, but not pulmonary TB, susceptibility (OR 1.24, 95% confidence interval 1.03, 1.49; p=0.021). Mortality from TBM was higher among participants with the rs28737416 T/T and T/C genotype (35/119, 30.4%) versus the C/C genotype (11/89, 12.4%; log-rank p=0.005) in a Vietnamese cohort (N=211). This finding was confirmed in an independent Vietnamese validation cohort (N=87; 9/87, 19.1% vs 1/20, 2.5%; log-rank p=0.02) and an Indonesian validation cohort (N=468, 127/287, 44.3% vs 65/181, 35.9%, log-rank p=0.06). Conclusions The MUC5AC rs28737416 T/T and T/C genotypes were associated with higher susceptibility and mortality from TBM and lower CSF concentrations of TNF and IFNγ compared to the C/C genotype, suggesting that MUC5AC contributes to immune changes that influence TBM outcomes.

The Importance of Strengthening Legal Concepts in Overcoming Cybercrime During the Covid-19 Pandemic in Indonesia

This study aims to analyze the importance of strengthening legal concepts in overcoming cybercrime during the Covid-19 pandemic in Indonesia. The Covid-19 pandemic that hit Indonesia made some people lose many things in various aspects of their lives due to multiple types of cybercrimes that often occur in society, such as malware attacks, trojan activities, and information leaks. The Electronic Information and Transactions Law (ITE) Number 11 of 2008 and the revised version of the ITE Law Number 19 of 2016 have historically been the legal basis for regulating cyber security in Indonesia. However, this regulation does not include essential parts of cybersecurity such as information and network infrastructure and human resources with cybersecurity experience. Thus, it is necessary to know how important it is to strengthen legal concepts in overcoming cybercrime during the Covid-19 pandemic in Indonesia. This study uses a qualitative approach. The data sources are from various online news media and relevant research journals and analyzed using the NVivo12 Plus application. Based on the results of the analysis, this study found that the acceleration of the ratification of the Personal Data Protection Bill, the establishment of special regulations related to cybersecurity and cybercrime, the creation of a multi-sectoral cyber security management ecosystem, as well as increasing awareness and capacity of human resources in the cyber security sector are alternative policies that must be considered and realized to strengthen the concept of law in overcoming various cyber crimes during the Covid-19 pandemic in Indonesia. © 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.

Foramen magnum meningioma presented as cervical myelopathy in a pregnant COVID-19 patient: A case report.

Introduction: Meningioma is the second most common primary brain tumor. There are approximately 5.6 cases of meningioma per 100,000 pregnant women. Foramen magnum meningioma is rare, and the diagnosis, treatment, and prognosis are complex in pregnant women. Case presentation: Herein, we report a case of foramen magnum meningioma in a pregnant woman at 32 weeks of gestation, who presented with chronic neck pain and cervical myelopathy. She tested positive for COVID-19 infection. Magnetic resonance imaging findings were compatible with foramen magnum meningioma, and the pathologic analysis revealed a WHO grade-I meningioma. The patient underwent cesarean section followed by tumor excision due to fetal distress and rapid deterioration. Clinical discussion: Management of meningioma during pregnancy requires a multidisciplinary approach. No guidelines for surgical intervention, timing of pregnancy termination, or mode of delivery for pregnant patients with foramen magnum meningioma have been established. While it is best to prolong the pregnancy for as long as possible, a cesarean delivery is preferred to avoid increased intracranial pressure. Operative management of meningioma is warranted if the tumor is growing or symptomatic. This patient died due to the added complication of COVID-19. Although the prognosis of foramen magnum meningioma is usually favorable, COVID-19 comorbidity can increase illness severity. Conclusion: Maternal and fetal health status must be evaluated to decide whether surgical excision and pregnancy termination are needed. In this case, COVID-19 infection and meningioma disease course required further investigation.

Design a web-based COVID-19 assistance information system

COVID-19 assistance is a difficult challenge to solve since it is affected by various intertwined variables including income status health education and living conditions. Beneficiary data collection must be performed correctly. As a result, the Labuhanbatu Regency Social Service should have a computerized system to monitor COVID-19 recipients based on income and living conditions. Waterfall models are used in the development of Information Systems to help the study and the UML used is PHP programming language MySql Database Boostrap and Sublime Document. As a consequence of the studys findings COVID-19 Beneficiary Community Data Collection Based on Income and Home Conditions was implemented. This method will provide complete and correct information based on the COVID-19 beneficiary community’s requirements presented in pdf format.

Permasalahan yang mempengaruhi kecemasan tenaga kesehatan dalam penanganan COVID-19

This study aims to find out what problems affect the anxiety of health workers in handling COVID-19. This research design uses a quantitative research design with a cross-sectional approach. The results of the study found that several factors that were suspected of having anxiety problems in handling COVID-19 that had a relationship were age (0.044) family status (0.037) and knowledge of health workers (0.000). At the same time the variables of gender education years of service advice and infrastructure have no relationship with the anxiety problems of health workers in handling COVID-19. In conclusion there is a relationship between age family status and knowledge of anxiety handling COVID-19. Keywords: COVID-19 Anxiety Health Workers

The impact of Corona virus disease (COVID-19) on Indonesia tourism

This COVID-19 originated in China and there are a lot of impacts caused by this virus. One of the impacts on the tourism sector. The impact on the tourism sector is quite large because it automatically also has an impact on the economy and the sustainability of people’s lives. And various efforts to restore this deteriorating condition have begun to be made so that tourism can operate normally again in compliance with government health protocols. But the lack of public concern to prevent the spread of the Corona virus is still very much and in the end many people are affected by the virus. There are five aspects affected by COVID-19 for the tourism sector namely: Economic aspects. which is where the cessation of tourism activities in various regions in Indonesia automatically stops income from tourism services Tax revenue aspects. With the cessation of tourism activities in each province the potential for losses will be very large where the target of tax revenue from the tourism sector will be much reduced compared to 2019. Employment Aspects in which the implementation of Large-Scale Social Restrictions (PSBB) will automatically stop many jobs in the tourism sector Brand Image in tourism is carried out through various promotions such as discounted prices increased facilities for tourists to enjoy & tourism business sustainability