Database Program Research Articles

1601. Transmitted Drug Resistance in Treatment-Naïve People Living with HIV in Costa Rica

Abstract Background Transmitted drug resistance (TDR) occurs in people living with HIV infection (PLWH) who are not exposed to antiretroviral drugs but who are infected with a virus with mutations associated with resistance. In Costa Rica, HIV genotyping is performed in PLWH failing their first-line ART regimen, but it is not routinely done for all treatment-naïve PLWH before ART initiation, therefore, little is known about TDR prevalence. Methods The aim of this study was to determine the prevalence of TDR and the HIV mutation patterns. During 2020, 162 cases of newly diagnosed treatment-naïve PLWH from all of the country’s HIV clinics were included for a genotyping study. Viral ARN was extracted from plasma samples obtained from the HIV National Reference Laboratory and protease (PR), reverse transcriptase (RT), and integrase (IN) regions were amplified and sequenced. The HIV database Program (Stanford University) and the World Health Organization (WHO) 2009 TDR surveillance mutation list were used for interpretation of resistance-associated mutations. Results The overall prevalence of TDR was 36% (N=59/162). According to ART class, TDR was 22% in the nucleoside reverse transcriptase inhibitors (NRTI), followed by 13% in the non-nucleoside reverse transcriptase inhibitors (NNRTI); for the protease inhibitors (PI) and the integrase inhibitors (INI), TDR was 8% and 3%, respectively. (Figures 1-3). Most common mutations were: in NRTI, M41L (9.9%), and M184I (6.8%); in NNRTI, K103N (7.4%); in PI, M46I (4.3%); in INI, T97A (1.9%). (Table 1). The median age was 32 years-old (range: 16-71), and 91% were male. Median CD4 count was 420 cells/uL (range: 11-1670) and median viral load was 588337 copies/mL (range: 1220-10000000). According to CDC classification, 20% were stage C-3. Source: local database Source: local database Source: local database Conclusion This study population has a moderate level of HIV drug resistance (HIVDR) in ART-naïve PLWH and strongly implies the need to introduce HIVDR surveillance in Costa Rica. These findings confirm the TDR and highlight the need for systematic viral load monitoring and drug resistance testing at diagnosis. Continuous surveillance of newly infected individuals is required to help strategize the best ART regimen for these patients, and should prompt a change in current local recommendations for starting ART. Source: local database Disclosures All Authors: No reported disclosures

PERANCANGAN SISTEM INFORMASI PENDATAAN WARGA NEGARA ASING (WNA) PADA KANTOR IMIGRASI KELAS 1 TPI JAMBI MENGGUNAKAN MOBILE WEB

In 1992, based on Law Number 9 of 1992 concerning Immigration, Article 1 paragraph 15 states that immigration quarantine is a temporary shelter for foreigners who are subject to expulsion or deportation proceedings or other immigration measures. This is of course related to the immigration law, hence the term immigration quarantine as the beginning of Rundenim. . The Rudenim is led by a Head who has duties in the field of detention of foreigners, whose function is to take action, isolate and carry out the task of expulsion or deportation. In order for the data of foreign nationals to be processed properly, an application is needed that can support the work of the immigration office to record data properly and stored properly. That way it can make it easier to know the extent to which foreign nationals carry out their activities in Jambi Province. By using a mobile web device it will help staff who get the task of supervising and escorting them. The research was only conducted at the Jambi TPI Class 1 Immigration office. Applications are made using the PHP programming language and databases using MySql. With this design, it will make it easier for field officers to check and find out the whereabouts of foreign nationals in Jambi Province.

E-COMMERCE PADA TOKO IT SOLUTION JAMBI BERBASIS MOBILE

E-Commerce is an online buying and selling system that connects companies or sellers to consumers in the form of electronic transactions. In line with the rapid development of the technology sector, companies belonging to small, medium and large industries, which are one of the many actors and supporters of economic activity in this country, are increasingly being encouraged to use advanced technology as a weapon to survive and win. Competition is getting tougher and tougher every day. IT Solution Jambi is a business entity engaged in providing services and selling computers. E-commerce at the Jambi IT Solution Store is an online comp uter sales media application so that it is better known by the wider community, especially in the city of Jambi. This application is designed using Visual Studio Code tools, Firebase Database, React Native and React JS programming languages. The result of making this application is that it can provide convenience to customers in obtaining services and information about the services available in IT Solutions. It also makes it easy for business owners to manage all transactions made and in making more detailed reports.

Rancang Bangun Sistem Informasi Pemesanan Custom Furniture pada CV. Adidewata Berbasis Website

Custom furniture product ordering and sales handling that is still operated manually that makes customers have to come to the company for every custom furniture ordering, where the accumulation of data resulting in loss. Custom furniture ordering information systems are designed to promote sales strategies and enhance online product ordering which facilitates the company and customers in ordering and selling purchases. The method used to design this research system is Rapid Application Development (RAD) which is the process of business modelling, data modelling and process modeling, modeling implementation, application building, and testing. Website-based custom furniture ordering information system design using HTML, CSS, PHP, and MySQL database programming languages, the purpose of the creation of this information system to facilitate customers who no longer have to come to the company to order, buy, view product information, as well as facilitate payment, and ordering and selling product data is organized in the system.

A study on the use of PMMA - Bi2O3 polymer composites as a replacement for concrete and gypsum at diagnostic photon energies

Ionizing radiation shielding barriers are used to reduce unnecessary radiation exposure to the workers and the public. This work intends to investigate the radiation shielding ability of PMMA-Bi2O3 polymer composites at diagnostic energies in comparison with concrete and gypsum. XCOM data base and computer program was used to determine the mass attenuation coefficients (MACs) of PMMA- Bi2O3 Polymer Composites at 20, 30, 40 and 60 keV. Also, EpiXS computer program was additionally used for validation of results from XCOM. The results showed that all the polymer composites are promising radiation shielding materials in comparison with gypsum and concrete. The composite with 10% Bi2O3 (P2) showed the optimum shielding properties with economic considerations. P2 has better shielding properties than concrete and similar shielding properties with gypsum. Hence, P3 and P2 could safely replace the use concrete and gypsum in the construction of diagnostics radiation facilities.

Aplikasi Absensi Non ASN Berbasis Web

Presence is crucial in a government institution. With an effective attendance system, it is hoped that it can assist in controlling the task completion process. The Attendance Recording System used in the Public Section applies fingerprint technology. Fingerprint is one of the information technology innovations that makes it easier to record employee activities every day. At this time employees do not take attendance using a fingerprint machine and return to using a manual system. The system is done manually, namely by signing the attendance book that has been provided by the staffing department. The purpose of developing this application is to facilitate, and speed up, employees in taking attendance and managing attendance outside the office. The method used in developing web-based non-ASN attendance applications is the waterfall model. as a structured software approach, starting from the stages of analysis, design, coding, testing, to the support stage. The PHP programming language, Laravel Framework and Database Management System (DBMS) use MySQL. The result of this research is the development of a web-based non-asn attendance application for non-asn employees in the general section of the regional secretariat of Bekasi district

Data-based program management of system-wide IV smart pump integration.

Smart pump bidirectional interoperability offers automated infusion programming and documentation that can improve patient safety and workflow efficiency. This technology has been poorly implemented across US hospitals, and there is little guidance on the tracking or monitoring of interoperability systems. The purpose of this report is to describe the successful implementation of intravenous (IV) smart pump interoperability in a large health system. Bidirectional IV smart pump interoperability and compliance monitoring were implemented across a large Midwestern health system using ICU Medical's Plum 360 and LifeCare PCA devices and Smith Medical's MedFusion 4000 Syringe Pump devices. The hospital system's experience in implementing and monitoring IV smart pump compliance using automated reports and a dedicated medication safety integration nurse is described. Compliance trends suggest that the implementation of IV smart pump interoperability has achieved a reduction in programming outside of the dose error reduction system, manual overrides, and IV medication administration error rates. The monitoring of smart pump compliance has had demonstrated benefits in investigating usability concerns, recognizing system errors, and identifying increased needs for nurse training. This program can serve as an example for other healthcare systems adopting IV smart pump interoperability.

Creation of a data commons for substance misuse related health research through privacy-preserving patient record linkage between hospitals and state agencies.

Substance misuse is a complex and heterogeneous set of conditions associated with high mortality and regional/demographic variations. Existing data systems are siloed and have been ineffective in curtailing the substance misuse epidemic. Therefore, we aimed to build a novel informatics platform, the Substance Misuse Data Commons (SMDC), by integrating multiple data modalities to provide a unified record of information crucial to improving outcomes in substance misuse patients. The SMDC was created by linking electronic health record (EHR) data from adult cases of substance (alcohol, opioid, nonopioid drug) misuse at the University of Wisconsin hospitals to socioeconomic and state agency data. To ensure private and secure data exchange, Privacy-Preserving Record Linkage (PPRL) and Honest Broker services were utilized. The overlap in mortality reporting among the EHR, state Vital Statistics, and a commercial national data source was assessed. The SMDC included data from 36522 patients experiencing 62594 healthcare encounters. Over half of patients were linked to the statewide ambulance database and prescription drug monitoring program. Chronic diseases accounted for most underlying causes of death, while drug-related overdoses constituted 8%. Our analysis of mortality revealed a 49.1% overlap across the 3 data sources. Nonoverlapping deaths were associated with poor socioeconomic indicators. Through PPRL, the SMDC enabled the longitudinal integration of multimodal data. Combining death data from local, state, and national sources enhanced mortality tracking and exposed disparities. The SMDC provides a comprehensive resource for clinical providers and policymakers to inform interventions targeting substance misuse-related hospitalizations, overdoses, and death.

Web-Based Community Satisfaction System Survey (Case Study in Regional Revenue Management Unit Holy District)

As public service providers, officials have obligations and responsibilities responsible for the quality of services provided to the community. People who receive services from service providers should have a right and authority to provide an opinion or assessment of the service they have received. This research aims to design and build a Survey System Web Based Community Satisfaction (Case Study in Management Unit Kudus Regency Regional Revenue). This website was built with language HTML, PHP, CSS, Java Script and database programming uses MySQL, where this Web Application has 3 access rights, namely admin, surveyor, and visitors/respondents. This survey questionnaire application is integrated with the base data, by utilizing the MySql database, data processing and creation reporting becomes easier. Data collection with survey questionnaires can be more effective and efficient, as well produce relevant information.

Screening History and 7-Year Survival in 32,099 Colorectal Cancer Patients: A Population-Based Cohort Study.

It is unclear whether colorectal cancer screening history, regardless of stage, is an independent predictor of survival, and if the screening advantage persists after diagnosis. 32 099 patients with colorectal cancer were enrolled in this population-based cohort study. We used data from the Taiwan Cancer Registry on patients with a first-time diagnosis of colorectal cancer between 2013 and 2015. In addition, we utilized data from a nationwide database of colorectal cancer screening programs to evaluate patients' screening histories, and sourced outcome data from the National Death Registry, tracking patients up to the last day of 2019. Compared with fecal immunochemical testing (FIT)-positive patients with a follow-up examination, the adjusted hazard ratios (95% confidence intervals) for death from colorectal cancer were 1.40 (1.26-1.56) for FIT-positive patients without a follow-up examination, 1.63 (1.48-1.78) for FIT-negative patients, and 1.76 (1.65-1.89) for never screened patients. The adjusted hazard ratios for the FIT-positive patients with a follow-up examination increased when diagnosis was delayed by more than 12 months and were 1.2 after a 2-year delay. The adjusted hazard ratios for FIT-negative patients were approximately 2.0, decreased rapidly to 1.6, and stabilized after the 9th time-to-diagnosis month. In colorectal cancer patients, screening history prior to diagnosis is an independent prognostic factor, regardless of cancer stage or other variables. This study recommends that physicians take screening history into account during diagnosis to optimize follow-up and management for patients at higher risk.

Factors in Infancy That May Predict Autism Spectrum Disorder.

The global increase in the prevalence of ASD (Autism Spectrum Disorder) is of great medical importance, but the reasons for this increase are still unknown. This study sought to identify possible early contributing factors in children who were later diagnosed with ASD. In this retrospective cohort study, postnatal records of 1105 children diagnosed with ASD were analyzed to determine if any signs of ASD could be found in a large database of births and well-baby care programs. We compared the recordings of typically developing children and analyzed the differences statistically. Rapid increases in weight, height, and head circumference during early infancy predict the development of ASD. In addition, low birth weight, older maternal age, and increased weight and height percentiles at six months of age together predict the development of ASD. At two years of age, these four parameters, in addition to impaired motor development, can also predict the development of ASD. These results suggest that the recent increase in ASD prevalence is associated with the "obesity epidemic" and with recommendations of supine sleeping to prevent Sudden Infant Death Syndrome, associated with atypical neural network development in the brain.

Intelligent Educational Recommendation Platform with AI Chatbots

The objectives of this research were as follows. 1) Analyze the intelligent educational recommendation platform with AI Chatbots. 2) Design the architecture of the intelligent educational recommendation platform with AI Chatbots. 3) Develop the architecture of the intelligent educational recommendation platform with AI Chatbots. 4) Study the appropriateness of developing the intelligent educational recommendation platform with AI Chatbots. The sample used in the research was seven experts in information system development from various institutions in higher education. The architecture of the intelligent educational recommendation platform with AI Chatbots there is two main components: 1) Stakeholders consisting of system administrators and external users, and 2) The working process of the intelligent educational recommendation platform with AI Chatbots consists of four parts including natural language processing, dialog management, database and application programming interface (API), and response generation. Assessment of the appropriateness of the architecture of the intelligent educational recommendation platform with AI Chatbots found that 1) the architecture of the intelligent educational recommendation platform with AI Chatbots, overall at a high appropriated, 2) the architecture of the intelligent educational recommendation platform with AI Chatbots, an individual element at a high appropriated, and 3) the architecture of the intelligent educational recommendation platform with AI Chatbots, Integrated elements at a high appropriated. As described earlier, the architecture of the intelligent educational recommendation platform with AI Chatbots can be a guideline for developing with AI Chatbots in the future.

Transparency around abortion training on obstetrics and gynecology residency program websites

ObjectivesThe availability of family planning and abortion training in residency is a concern for applicants, particularly following the overturning of Roe v Wade. We aimed to characterize public information on abortion training in obstetrics and gynecology residency programs in states with and without abortion bans. Study designWe abstracted residency program data using a publicly available database of obstetrics and gynecology residency programs. We performed a systematic internet search of each program’s website to identify information on abortion training. We defined states with abortion bans as those with total or near-total bans as of November 2022. Using Stata SE 16, we used Student t tests and Fisher exact tests to characterize differences between programs with public abortion training information and those without. ResultsOf 293 obstetrics and gynecology residency programs, 197 (67.2%) included online information regarding abortion training. Of 64 programs in states with abortion bans, 34 (53%) had public information regarding abortion training, compared to 163 (71%) of the 229 programs in states with legal abortion. Programs with publicly available abortion training information were more likely to be academic (49.8% vs 26%, p < 0.001) and have a higher percentage of female residents (86.6% vs 82.9%, p = 0.003). Programs in states with legal abortion were more likely to use words like “abortion” (36.2% vs 17.7%, p = 0.05). ConclusionsOnly two-thirds of obstetrics and gynecology residency programs publicize abortion training information. Almost half of all programs in states with abortion bans do not share this information, revealing a need for improved transparency to better inform residency applicant decision-making. ImplicationsDuring the 2022–2023 academic cycle, one-third of obstetrics and gynecology residency programs did not include information about family planning or abortion training online. In states with abortion bans, this number increased to almost one-half. These findings serve as a call to action for programs to clarify their commitment to abortion training.

Navigating polycrisis: long-run socio-cultural factors shape response to changing climate.

Climate variability and natural hazards like floods and earthquakes can act as environmental shocks or socioecological stressors leading to instability and suffering throughout human history. Yet, societies experience a wide range of outcomes when facing such challenges: some suffer from social unrest, civil violence or complete collapse; others prove more resilient and maintain key social functions. We currently lack a clear, generally agreed-upon conceptual framework and evidentiary base to explore what causes these divergent outcomes. Here, we discuss efforts to develop such a framework through the Crisis Database (CrisisDB) programme. We illustrate that the impact of environmental stressors is mediated through extant cultural, political and economic structures that evolve over extended timescales (decades to centuries). These structures can generate high resilience to major shocks, facilitate positive adaptation, or, alternatively, undermine collective action and lead to unrest, violence and even societal collapse. By exposing the ways that different societies have reacted to crises over their lifetime, this framework can help identify the factors and complex social-ecological interactions that either bolster or undermine resilience to contemporary climate shocks. This article is part of the theme issue 'Climate change adaptation needs a science of culture'.

PERANCANGAN APLIKASI E-PARTNERSHIP MENGGUNAKAN METODE AGILE BERBASIS WEB PT. INDUSTRI TELEKOMUNIKASI INDONESIA (PERSERO)

PT. The Indonesian Telecommunications Industry is a provider of products and services based on digital service innovation to answer business needs to facilitate automation in consumer company organizations. Every consumer/potential partner who wants to be part of a partnership at PT. The Indonesian Telecommunications Industry previously had to register as a partner manually using a paper registration form for prospective partners, besides that the required documents were still in the form of paper documents that could be lost at any time. The concept of Agile Software Development was coined by Kent Beck and 16 colleagues by stating that agile software development is a way of building software by doing it and helping others build it at once. Agile software development methods or agile methodology is a set of software development methodologies based on iterative development, where requirements and solutions develop through collaboration between organized teams Based on the stages of analysis of admin and user needs, it can be concluded that there are several things that must be considered and made carefully, including the programming structure, database specifications, and user interface design must be in accordance with The e-Partnership system is made to make it easier for companies to provide information about the procurement of goods or services and other informational information. As for partners of PT. The Indonesian Telecommunication Industry makes it easy to get information about procurement and other information. In addition, this system can make it easier for prospective partners to register to become partners online, because to access the main page of procurement information and other information can only be accessed by partners who already have an e-Partnership application account. Admin dashboard made to make it easier to update, add, and delete procurement information and other information. And the information will be informed through the e-Partnership website to the logged in partner.

PERANCANGAN SISTEM PENDUKUNG KEPUTUSAN UNTUK MEMUDAHKAN PEMILIHAN KEDAI KOPI

A decision support system (DSS) for selecting coffee shops is a technological solution that can help coffee enthusiasts find coffee shops that suit their preferences. The purpose of this research is to design a decision support system to facilitate the selection of coffee shops. The methodology used in this research is the waterfall method which consists of needs analysis, design, implementation, and system testing. Needs analysis is carried out by conducting surveys and interviews with respondents who are coffee consumers. The results of the needs analysis will be used as the basis for system design. The system design is carried out using the ERD and DFD models, as well as the selection of the right programming language and database. Implementation is done by developing the system according to the design that has been made. Finally, system testing is carried out to ensure that the system can run properly and according to user requirements. It is hoped that the results of this study can provide benefits for coffee fans in choosing coffee shops that suit their preferences.

Study protocol for a multi-level cross-sectional study on the equitable reach and implementation of coordinated specialty care for early psychosis

BackgroundApproximately 115,000 young adults will experience their first episode of psychosis (FEP) each year in the USA. Coordinated specialty care (CSC) for early psychosis is an evidence-based early intervention model that has demonstrated effectiveness by improving quality of life and reducing psychiatric symptoms for many individuals. Over the last decade, there has significant increase in the implementation of CSC programs throughout the USA. However, prior research has revealed difficulties among individuals and their family members accessing CSC. Research has also shown that CSC programs often report the limited reach of their program to underserved populations and communities (e.g., ethnoracial minorities, rural and low socioeconomic neighborhoods). Dissemination and implementation research focused on the equitable reach and implementation of CSC is needed to address disparities at the individual level.MethodsThe proposed study will create a novel integrative multi-level geospatial database of CSC programs implemented throughout the USA that will include program-level data (e.g., geocoded location, capacity, setting, role availability), provider-level data (race, ethnicity, professional credentials), and neighborhood-level census data (e.g., residential segregation, ethnic density, area deprivation, rural-urban continua, public transit time). This database will be used to characterize variations in CSC programs by geographical location and examine the overall reach CSC programs to specific communities. The quantitative data will be combined with qualitative data from state administrators, providers, and service users that will inform the development of dissemination tools, such as an interactive dashboard, that can aid decision making.DiscussionFindings from this study will highlight the impact of outer contextual determinants on implementation and reach of mental health services, and will serve to inform the future implementation of CSC programs with a primary focus on equity.

Integrating network pharmacology and pharmacological evaluation to reveal the therapeutic effects and potential mechanism of S-allylmercapto-N-acetylcysteine on acute respiratory distress syndrome.

In this research, we sought to examine the effectiveness of S-allylmercapto-N-acetylcysteine (ASSNAC) on LPS-provoked acute respiratory distress syndrome (ARDS) and its potential mechanism based on network pharmacology. To incorporate the effective targets of ASSNAC against ARDS, we firstly searched DisGeNET, TTD, GeneCards and OMIM databases. Then we used String database and Cytoscape program to create the protein-protein interaction network. Gene Ontology (GO) enrichment analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis both identified the potential pathways connected to genes. Cytoscape software was used to build the network of drug-targets-pathways and the SwissDock platform was applied to dock the molecule of ASSNAC with the key disease targets. Correspondingly, an ARDS model was established by instillation of LPS in mice to confirm the underlying action mechanism of ASSNAC on ARDS as indicated by the network pharmacology analysis. Results exhibited that 27 overlapping targets, including TLR4, ICAM1, HIF1A, MAPK1, NFKB1, and others, were filtered out. The in vivo experiments showed that ASSNAC alleviated LPS-induced lung injury by downregulating levels of pro-inflammatory mediators and lung dry-wet ratio. Also, ASSNAC attenuated oxidative stress evoked by LPS via diminishing MDA production and SOD consumption as well as upregulating HO-1 level through Nrf2 activation. Results from western blot, quantitative real-time PCR and immunohistochemistry suggested that ASSNAC developed its therapeutic effects by regulating TLR4/MyD88/NF-κB signaling pathway. In conclusion, our research presented the efficacy of ASSNAC against ARDS. Furthermore, the mechanism of ASSNAC on ARDS was clarified by combining network pharmacology prediction with experimental confirmation.

Ultimate Pit-Limit Optimization Algorithm Enhancement Using Structured Query Language

Three-dimensional block models are the most widely used tool for the study and evaluation of ore deposits, the calculation and design of economical pits, mine production planning, and physical and numerical simulations of ore deposits. The way these algorithms and computational techniques are programmed is usually through complex C++, C# or Python libraries. Database programming languages such as SQL (Structured Query Language) have traditionally been restricted to drillhole sample data operation. However, major advances in the management and processing of large databases have opened up the possibility of changing the way in which block model calculations are related to the database. Thanks to programming languages designed to manage databases, such as SQL, the traditional recursive traversal of database records is replaced by a system of database queries. In this way, with a simple SQL, numerous lines of code are eliminated from the different loops, thus achieving a greater calculation speed. In this paper, a floating cone optimization algorithm is adapted to SQL, describing how economical cones can be generated, related and calculated, all in a simple way and with few lines of code. Finally, to test this methodology, a case study is developed and shown.

Calculating the fraction of Kawasaki disease potentially attributable to seasonal pathogens: a time series analysis.

Kawasaki disease is an acute, febrile, systemic vasculitis of children that primarily affects medium-sized blood vessels with a tropism for the coronary arteries. Although the etiological factors remain unknown, infections have been suggested as the trigger of Kawasaki disease. We sought to calculate the fraction of Kawasaki disease potentially attributable to seasonal infections. This cohort study used a population-based time series analysis from the French hospitalisation database (Programme de Médicalisation des Systèmes d'Information), which includes all inpatients admitted to any public or private hospital in France. We included all children aged 0-17 years hospitalised for Kawasaki disease in France over 13 years. The monthly incidence of Kawasaki disease per 10,000 children over time was analysed by a quasi-Poisson regression model. The model accounted for seasonality by using harmonic terms (a pair of sines and cosines with 12-month periods). The circulation of eight common seasonal pathogens (adenovirus, influenza, metapneumovirus, Mycoplasma pneumoniae, norovirus, rhinovirus, rotavirus, respiratory syncytial virus, and Streptococcus pneumonia) over the same period was included in the model to analyse the fraction of Kawasaki disease potentially attributable to each pathogen. Infections were identified on the basis of polymerase chain reaction or rapid antigen testing in hospital laboratories. Between Jan 1, 2007, and Dec 31, 2019, we included 10,337 children with Kawasaki disease and 442,762 children with the selected infectious diseases. In the Kawasaki disease cohort, the median age [IQR] was 2 [0-4] years, 6164 [59.6%] were boys. Adenovirus infection was potentially responsible for 24.4% [21.5-27.8] (p<0.001) of Kawasaki diseases, Norovirus for 6.7% [1.3-11.2] (p=0.002), and RSV 4.6% [1.2-7.8] (p=0.022). Sensitivity analyses found similar results. This cohort study of data from a comprehensive national hospitalisation database indicated that approximately 35% of Kawasaki diseases was potentially attributable to seasonal infections. None.