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I have experience working in various organizations, some of which had dedicated IT departments while others consisted of small IT teams. Each organization implemented a unique disaster recovery plan tailored to its specific needs, utilizing either on-premise systems or alternative technologies like cloud solutions.
Risk assessment and analysis are crucial for identifying potential threats to systems, including external risks such as natural disasters, human-caused incidents, cyber-attacks, hardware failures, and data sharing vulnerabilities.
Clear notification procedures must be established within the contingency plan to guide the response to disasters. A Disaster Recovery Committee, composed of management, IT leads, security personnel, and human resources, plays a vital role in managing the disaster recovery process. This committee is responsible for detecting and communicating disaster information, maintaining recovery plans, monitoring situations, and ensuring a return to normal operations while continuously improving the disaster recovery plan based on lessons learned.
Recovery procedures should be developed to restore IT services, including actions to recover system data and test functionality, ensuring that security controls are operational. Additionally, training on data security, backup procedures, and maintenance processes is essential to prevent future disasters.
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Implementing High-Availability technology in the hospital information system (HIS) can significantly benefit patients and the hospital by ensuring continuous access to healthcare services.
Benefits for Patients: It can reduce patient waiting times and improve patient outcomes leading to faster diagnosis and treatment. Healthcare information can provide real-time information and be across and used from one healthcare center to another. It can provide faster data transfer (medical information) and lead to better patient outcomes. It can avoid some malicious. This allows for more informed treatment decisions, reduces the risk of errors, and facilitates smoother communication among doctors, nurses, and specialists. It can empower healthcare professionals to deliver more effective and personalized care, leading to better patient health outcomes.
For Hospitals, it can optimize resource allocation and overall operational efficiency, allowing healthcare providers to deliver better healthcare consistently. It reduces downtime, which is crucial in emergencies, and ensures that patient data and services are always available. It can help hospitals save time and costs in management, reduce the paperwork burden, and minimize risks related to management and data issues.
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I currently serve as a team leader in software development, overseeing both completed and ongoing projects. I take on the responsibility and accountability for the projects developed, and I typically need to request resources, as cost management falls under the program manager’s view.
While I have not strictly adhered to all 12 steps outlined in project management methodologies, I have utilized several key steps, such as defining the project, listing tasks, planning their sequence, and creating a Gantt chart. My approach differs slightly from standard practices; I developed a customized chart to track task status—ongoing, in progress, or completed—along with task lists, timelines, and assigned personnel. This chart has proven effective for monitoring progress, productivity, performance, and task prioritization, allowing for a clear overview of the project’s status.
I make adjustments to our development plan based on changes in user requirements that arise during the development process. However, we should ensure that we prioritize essential user requirements. For projects where certain requirements are not deemed essential, we generally do not allow for readjustments. Throughout our development, my team and I apply a “review” step to every project. Moving forward, we will consider incorporating elements from the 12-step process into our next project.
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I have experience in healthcare data and information systems, specifically emphasizing the critical importance of confidentiality, integrity, and availability (CIA) in handling sensitive health data, such as patient records from healthcare facilities. To address this, I prepared to develop a data-sharing policy and established user account permission levels for accessing healthcare data. Recognizing that data collected at the entry-level could risk incomplete patient information, I implemented controlled access measures to ensure that only authorized personnel can access certain records, thereby safeguarding data integrity.
In terms of the CIA principles:
Confidentiality is maintained through security measures like usernames, passwords, two-factor authentication, and data encryption.
Integrity is ensured by preventing unauthorized modifications to data without appropriate permissions from management.
Availability is addressed by ensuring that data is accessible only to authorized users, supported by strategies like regular data backups and cybersecurity attacks. -
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Hello Wannisa, thank you for sharing about the Diabetes Surveillance system in Thailand.
Challenges in diabetes disease – 200 deaths per day are severe.
I think it is a high rate.
In data Transfer methods, it is good and interesting about cloud solution, Mobile uploads and Automated Reporting Systems methods. -
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Let me share some ideas as a manager in my current position. I have three team members. Two are my junior from the computer fields and one is from another education background. So I have to lead and manage different approaches with them. But for reviewing their task to complete the project is the same management and plan.
Firstly I separate to communicate clearly with the team objective for their tasks. And I give team members the freedom to take ownership of their tasks. Trust in their skills and allow them to explore innovative solutions, which can be their confidence and motivation.
Additionally, I create opportunities for teamwork and collaboration, ensuring that team members feel connected and supported by one another. Finally, I make it a point to regularly acknowledge both large and small achievements because positive reinforcement greatly enhances motivation. -
Hello Aung, Your approach to motivating your team is commendable and demonstrates effective leadership. By holding team meetings, you clarify project goals and foster open communication, which can enhance team cohesion and engagement. Recognizing individual contributions is another powerful strategy, as it helps team members feel valued and appreciated. Lastly, I think, your practice of reflecting on past successes to find motivation is a great personal strategy that can inspire others as well.
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Improving my listening skills is essential because I often find myself distracted during conversations, which impacts my ability to fully engage and respond thoughtfully. For example, during team meetings, I sometimes miss critical information due to my focus on formulating my own responses rather than truly listening. This can lead to misunderstandings and inefficiencies.
To enhance my listening skills, I plan to take a few specific actions. I will maintain eye contact and be aware of my body language to show attentiveness. I will practice summarizing what I have heard to ensure I understand the key points being discussed. -
I think empathy is my strong emotional intelligence, my opinion. I naturally connect with others and can often sense their emotions, which allows me to provide support and understand diverse perspectives. This strength has helped me build strong relationships and foster collaboration.
The weakest component is self-regulation, which is not an inherent ability. I sometimes find it challenging to manage my emotions during highly stressful situations, leading to impulsive decisions or reactions. I am actively working on controlling my emotions, but this has impacted my ability to stay calm and think clearly when faced with conflict.
To improve on self-regulation, my action plan includes mindfulness practices such as meditation and journaling to understand my emotional triggers better. I will also adopt techniques like deep breathing and taking a moment before responding to difficult situations.
Additionally, seeking peer feedback about my emotional responses can provide insight and guide my improvement. -
After watching the provided VDO of public communication regarding the COVID-19 situation from Singapore and the USA, both leaders addressed the situation, revealing differing approaches influenced by their contexts.
Singapore’s leader effectively communicates strongly by being concise, credible, and empathetic. They provide clear information, acknowledge public concerns, and promote specific actions, which helps build trust. On the other hand, communication from US leader may be viewed as inconsistent, affecting credibility and potentially leading to confusion among the public.
Singapore’s leader directly communicated with the public about the disease outbreak, providing clear and specific information regarding the current status and comparisons to previous outbreaks like SARS, as well as the mortality rates associated with influenza. In contrast, I did not find the facts presented by the US leader regarding the COVID-19 outbreak to be as informative, which may have contributed to the disruptions caused by the pandemic.
When I listened to VDO, I felt the Singapore Leader was more empathetic than the US, in the US leader’s speech, focused on financial management and their administration rather than disease outbreak information sharing. The Singapore leader reminded and encouraged his population to pass the outbreak together practices.In conclusion, both countries demonstrated elements of effective communication, but the effectiveness varied based on adherence to the principles of CREC, particularly in establishing credibility and fostering public understanding.
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Areas of improvement in Myanmar,
Team: The issue of teamwork presents significant challenges for Myanmar. Collaboration between stakeholders in the health team to promote the data flow will be a priority. After the coup, the exchange of information has been limited. Therefore, enhancing cooperation among stakeholders nationwide is a top priority for improvement.
Transparency and Trust: The circumstances before and after the coup are entirely different. Before the coup, the Ministry of Health provided near real-time data to the public every week, and most people had confidence in the government. However, following the coup, trust in the military government has significantly declined among the majority of the public.
Technology: In Myanmar, technology plays a critical role in enhancing healthcare services. However, after the coup, the country is facing challenges, including a significant shortage of qualified personnel and medical facilities.
Techquity: There needs to be better technology to improve healthcare delivery and accessibility. It needs to make better infrastructure and digital tools accessible from everywhere and everyone. But after the coup, digital health capabilities can’t provide as well.
Transformation: All of us planned to transform and update the healthcare system by using digital health records, electronic medical records, and telemedicine which it easier to use in the future. But all the transformation to the health system using digital technology plans was delayed by the coup.Unfortunately, everything fell under the coup. I hope we can restart and rebuild the health system soon.
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Let me list of the disease outbreaks that have been declared as PHEICs by WHO
1.H1N1 (WHO declared an end to the global influenza pandemic)-2009-2010
2.Polio (declared by The WHO) 2014-present
3.Ebola in Western Africa-2014-2016
4.Zika virus epidemic-2015-2016
5.Kivu Ebola epidemic-2019-2020
6.COVID-19 outbreak started in December 2019. -2020-2023
7.Mpox clade 2 outbreaks-2022-2023
These outbreaks raise significant concerns for some reasons:
1.Public health Impact
2.Unusual or unexpected disease cases
3.Risk of international spread
4.Risk of Trade or travel restriction
HIV could indeed be classified as a Public Health Emergency of International Concern (PHEIC) due to its potential to severely compromise the immune system, which can lead to increased susceptibility to other infections such as tuberculosis (TB). The ongoing global transmission, the presence of drug-resistant strains, and the emergence of new variants pose significant public health risks that may require an international response.
HIV disease will be the potential of PHEICs for the following criteria.
Serious impact:
The public health system can be significantly affected, complicating efforts to combat infections and diseases. The lack of effective drugs, along with the correlation between HIV and mobility, suggests that greater mobility leads to higher instances of HIV incidence.
Unusual or unexpected:
The infection in a large group of countries is very expected although no vaccine has been developed for this disease. It continues to be raised and it will be important notice to the health authority.
International Spread:
HIV spreads internationally, addressing risk factors such as sexual transmission, shared needles among drug users, and mother-to-child transmission.
Risk of Trade or travel restriction:
It will pose a public health risk across borders. It can lead to travel or trade restrictions between countries. Most countries don’t restrict travel or trade based on an individual’s HIV status, and their policies don’t require specific medical checks related to HIV. -
In the publication by Chung J et al., I would like to emphasize two specific shortcomings in Korea’s hepatitis B surveillance system that I gathered from my review of the material:
Data Integration and Sharing Issues (Duplicate Reporting): Numerous healthcare databases are not integrated, resulting in potential duplicate reporting when tracking the disease. The system struggles to effectively share information among diverse healthcare providers, public health departments, and research sectors.
Misreporting Concerns (no specific reason given): A significant number of individuals with chronic hepatitis B remain undiagnosed and untreated, primarily due to insufficient awareness and healthcare access. This leads to an undercount of hepatitis B cases, hindering data collection and the efficacy of public health responses.
Recommendations for Improvement:
Development of an Integrated Surveillance System: Utilizing technology can create a centralized data platform that merges information from various healthcare providers, laboratories, and public health sectors. Collaborations with public health entities, healthcare providers, and research institutions will facilitate improved data sharing.
Health Education Campaigns: For the surveillance system to be effective, it’s important to establish clear “guidance,” “monitoring,” and “practice” protocols to be disseminated by public health centers.
Conclusion:Implementing these strategies could enhance its hepatitis B surveillance system, improving early detection, treatment, and prevention efforts. -
According to the steps of the outbreak investigation, Information technology plays a crucial role in outbreak investigations by enhancing various aspects of the process. It aids in the identification and confirmation of outbreaks, ensures efficient data management, and supports case tracking. By streamlining data collection, analysis, and communication, IT facilitates the outbreak investigation process. For instance, data can be gathered through online surveys or mobile applications, allowing for real-time entry and monitoring. Following verification, advanced analytical tools can be employed to analyze the data, uncover patterns, and identify potential outbreak sources, thereby simplifying decision-making. Once the data analysis is complete, the next step involves developing and testing evaluation hypotheses. In this phase, IT enhances communication among Rapid Response Team members and stakeholders by utilizing data from specialized studies, such as laboratory investigations. For hypothesis testing, data analysis tools and programming languages can be leveraged. In the final response and action phase, mobile apps and online platforms ensure the timely distribution of information related to case definitions and findings. Moreover, IT in surveillance systems can facilitate earlier outbreak detection by continuously monitoring health-related data, ultimately improving epidemic management and mitigating other impacts.
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Throughout the COVID-19 pandemic, a range of new and established surveillance technologies were utilized to support public health efforts. This included the implementation of digital technologies like contact tracing, telemedicine, and web-based applications powered by machine learning. A key technology that improved the surveillance and response to COVID-19 was data visualization tools, which incorporated multiple data sources, including databases and cloud services.
How it works:
These tools compile, assess, and visually showcase information on COVID-19 cases, hospitalizations, and vaccinations, helping public health officials and decision-makers recognize trends and the broader effects on public health. The maps and dashboards simplify intricate data, making it easier to comprehend and leading to quicker, more informed decisions about resource distribution, lockdown protocols, and other measures.
Important:
Data dashboards have been widely utilized during the pandemic to compile real-time public health information, such as confirmed cases, deaths, and testing outcomes, aimed at keeping the public informed and assisting policymakers in enhancing interventions. The main objective of effective data visualization is to understand trends and correlations, which is vital for managing and tackling public health issues.Reference from the article by Jobie Budd, Digital technologies in the public-health response to COVID-19
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1. How can surveillance help to detect and control the disease?
Surveillance involves monitoring population health to detect and control diseases by identifying outbreaks and supplying data to guide health responses. It encompasses data collection, analysis, and disease reduction. For instance, monkeypox surveillance enables early detection of outbreaks and facilitates timely responses, which can save lives and minimize the spread of illnesses.
2. Should we conduct active or passive surveillance or both for the disease, and why?
Both active and passive surveillance methods are essential for monitoring monkeypox disease. Active surveillance requires healthcare personnel to proactively respond to reported disease cases, while passive surveillance relies on medical professionals and health facilities to report cases to public health authorities. This system facilitates data management and analysis of the information collected, enabling the consideration of emerging diseases and timely interventions to control the outbreak.
3. Which method should be best to identify cases, why?
a. Cases in medical facilities VS community
Monkeypox tends to spread more often within communities than in healthcare settings. Healthcare workers face increased risk because of their direct exposure to infected patients. However, it is essential to conduct both types of surveillance to ensure that no cases are overlooked.
b. Sentinel VS population-based surveillance
Population-based surveillance involves comprehensive health facility reports on designated diseases, capturing all cases within a defined geographic area to reflect the national situation. For the monkeypox disease, a population-based approach could effectively identify all cases in targeted regions and provide more complete data trends. However, recognizing the strengths and limitations of each method is crucial for effective disease tracking and response.
c. Case-based VS aggregated surveillance
Case-based surveillance for monkeypox is thorough, involving the collection of detailed information on each case. This information can be obtained from the patient or their contacts, including the patient’s medical history. In contrast, aggregate surveillance focuses on compiling summarized data from multiple cases to track trends without delving into individual specifics. Both methods aim to identify outbreaks and facilitate prevention.
d. Syndromic VS laboratory-confirmed surveillance
Laboratory-confirmed surveillance is better than syndromic surveillance for monkeypox. While syndromic surveillance relies on observed symptoms and clinical presentations, which can lead to missed diagnoses, laboratory-confirmed surveillance uses tests (like blood and urine tests) to accurately identify the virus. Thus, laboratory testing offers more definitive data, ensuring the identification of the virus and preventing oversight of asymptomatic cases.
4. What dissemination tools will you choose to disseminate monkeypox surveillance information? Why do you choose this/these tools?
I believe that enhancing ongoing, real-time dissemination tools for monkeypox can increase their reliability. These tools can be updated and shared on social media platforms and emphasizing that real-time published data is crucial for accelerating public health responses. For instance, the Program for Monitoring Emerging Diseases (ProMED), managed by the International Society for Infectious Diseases, is a well-known resource that can aid in preventing future pandemics.
When I am reading about monkeypox, Another surveillance, name is “Wastewater surveillance for mpox “. It can be seen in the following link for reference. Just sharing information.
https://www.cdc.gov.tw/File/Get/XGRpWLPlVeT5KkarS1EPZw -
Should you give the data out?
As the person responsible for the national database that includes malaria and migrant patients’ data, I do not share any information. I must protect the data collected and stored within the database and respect the confidentiality of patients’ information. Sharing health records is not appropriate, as I am not the data owner.How do you not violate Informatics Ethics?
Make sure that users obtain accurate and reliable information, especially in health-related situations, to avoid any possible risk. Safeguard confidentiality by securing both patient and user dataIf you want to provide the data, what steps should you take?
Based on my experience and this situation, some considerations remain consistent. The research team should be asked to clarify data ownership. This data can be used to compile aggregated information while safeguarding patients’ data privacy. Moreover, shared data should be specific and exclude personally identifiable information (such as names, addresses, geolocation, and contact details), allowing us to convert unique personal identifiers. It is essential to establish a data-sharing policy agreement with the relevant department to ensure data protection and outline responsibilities when sharing data with third parties. -
As a health information professional and assigned the duty to check on the EMR of patients’ records.
What should you do?
I don’t do any action on that. The patient’s medical records are confidential. We must respect patient’s privacy and must follow a code of ethics.As a health information professional – can you tell your friend?
It is crucial for patients as not everyone is comfortable disclosing their medical history. I will not provide any further details regarding her husband’s health status. Reminding patients about their health status is solely the responsibility of the doctor, I think.Can you interfere with other people or family issue?
Patient health records must be kept confidential, even considering family matters.
It’s generally not advisable to interfere with other people’s or family member’s health issues unless they seek our help or advice. Each individual has the right to manage their health as they see fit, and interfering can lead to conflict.But, should your friend not know about this because she might be at risk?
Exactly, she might be at risk. I believe the doctor will update him on his health status, and they will discuss it with the patient’s wife. If the patient consents, it can help mitigate risks.How will you follow the fundamental principles about right to self-determination, doing good and doing no harm to others?
Self-determination: After discussing this with the patient, the doctor will honor the patient’s decision regarding his health information.
Doing Good: Respect patient consent and protect patient data according to ethical principles in health informatics rules.
Doing no harm: patient communication with their partner might be a more effective strategy.Isn’t it your obligation and the right of the subject to hold the information?
I am responsible for safeguarding health-sensitive information, which is strictly confidential and should not be shared. This duty belongs solely to the healthcare provider, and we must all respect the patient’s right to make their own health decisions. -
Based on the Topic 1 discussion, Changing the manual system to a Digital system on the pharmacy management system. The following points on thinking about the ADKAR model on that project
Awareness: Transitioning from a paper-based system to a digital one, highlighting the benefits of data entry and retrieval, as well as the centralized organization of all data. This structured approach enhances the data management process and boosts efficiency in the pharmaceutical field. It facilitates clear communication between the logistics team (pharmacy staff) and the M&E team regarding the reasons for the necessary changes.
Desire: The logistics team recognized that both their workload and the pharmacy staff could manage the paper-based tracking with a manual ledger book, while these staff members also made use of the new application.
Knowledge: Before launching the application, the logistics and M&E team conducted practical training sessions with the staff, including professionals in development and pharmacy. They provided effective training and human resources to ensure an understanding of how to operate the system, resulting in successful skill transfer.
Ability: After launching the application, the first month was very challenging, and we struggled to manage the monitoring checklist. We encountered some mistakes and application errors, which made the process difficult for around three months.
Reinforcement: Gather feedback from end-users and provide support to enhance the application, while also ensuring that the specific staff members are held accountable. -
My team members and I have developed a computerized pharmacy management information system (PMx database) for facility-based health services. On the paper-based system like the following facts, pharmacy staff and supervisors practiced monthly stock balance and expiry monitoring, forecasting, and planning for purchasing required medicines and performing quarterly physical stock checks.
So the system was successful but now it will say fail because they can’t use it. Anyway, let me summarize the following factors depending on whether the system is successful or failed.
Data:
– Ease of data entry, retrieval, and reporting
– Completeness of drugs/ medicine records forms
– Quality and accuracy of the entire data
– Measure of data security and privacy
Cost:
– Initial investment in developing period human resource, software, and hardware
– Expenses for basic training for pharmacy management to respective staff
– Long-term cost, ongoing maintenance, and further development process (additional features)
Operation:
– Performance of the system
– The system was reliable in the workflow
– Continues improvement according to user feedback (such as user-friendly,….)
– Integration with health information management system for the future
Design:
– User-friendly interface should prioritize simplicity and consistency in design time.
– It can be customized to meet logistics department needs
– Easy-to-understand navigation design
People:
– respective staff training and adaptability.
– User engagement and advocacy to use the system
– Leadership support and management
– IT support
Conclusion:
The progress of pharmacy management performance was assessed using a monitoring checklist for stock balance monitoring, expiry status checks, transaction error rates, and disposal practices. Unfortunately, the PMx software can’t be used in the current situation at that health service.
We presented at the APACPH Conference 2019, at the poster presentation channel.
It can be seen at the following link referencing.
The 51st APACPH Conference – APACPH
APACPH-Programme_Final.pdf -
One example of a decision support system implemented in the organization is the COVID-19 test data system, which I developed during the pandemic. This system is designed to report both test results and COVID-19 patient statuses. Its primary purpose is to ensure timely reporting. Additionally, a vaccine management system has been integrated into this implementation. Yes, sure it is working well.
Several factors can influence the implementation of decision support systems (DSS) in an organization.
Key factors of enclosed areas such as technology, human resources, and vaccine information, can enhance effectiveness. The system should feature an inherent user interface for easy use and be able to integrate with the vaccine management system to ensure a smooth operation and prevent duplicate vaccinations.
It can serve as a data dashboard for reports on COVID-19-tested and vaccinated patients, and it can also aid in decision-making for the vaccine supply chain. -
Hi Siriluk, thank you for sharing, regularly testing and training are essential to ensure preparedness while leveraging cost-efficient solutions like cloud backups and Disaster Recovery as a Service (DRaaS) can enhance scalability and compliance. This comprehensive approach is vital for minimizing data loss and ensuring business continuity.
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Thank you for sharing the detailed steps of the disaster recovery plan. It can consider the backup solution, and specific needs, and consider a hybrid approach that combines both cloud and on-premise solutions for optimal data protection. Using a tool and the automation system that you propose will also be more effective and can reduce system failures.
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Hello Siriluk, Thank you for sharing the project idea to transition from paper-based to Electronic Data Capture (EDC) in clinical trials is well-conceived and addresses key aspects like data accuracy, efficiency, and compliance. I think you can set a strong foundation by clearly identifying stakeholders and deliverables and a structured plan covering development and validation phases.
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Hi Wannisa, Thank you for your research project. Your project plan on DRG sounds well-structured and comprehensive. Clearly defining your goals, tasks, and team roles is essential for effective project management. Using a Gantt chart will help visualize the timeline and ensure everyone stays on track. Regular meetings for progress monitoring and problem-solving are also crucial for adapting to any challenges that arise.
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It sounds like your team employs a collaborative approach to project review, which can be very effective. Discussing launching a dashboard or course allows each team member to share insights, which can lead to constructive feedback and improvements. Closing the project after this discussion helps ensure that any lessons learned are formalized and that everyone is aligned on future actions. Thank you for your sharing, Aung
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Thank you for your comment. Changes in governance, data collection protocols, and reporting structures would likely affect the data flow diagram for malaria surveillance after a military coup. Due to instability in health information systems and exchangeable communication pathways among stakeholders, data reporting will also change.
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Thank you for your insightful comment. I agree that incorporating ethnic health facilities into the malaria surveillance project is crucial, especially in areas governed by ethnic administration. I saw you incorporate ethnic health sectors in your presentation, and that’s why I feel your presentation is great.
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Thanks for sharing about yourself. I would suggest (only my opinion and suggestion) some points to improve social skills, practicing starting small conversations, using open-ended questions to engage others, actively listening to their responses, and gradually participating in networking events to build confidence. Feel free to think of me if you need ideas for starting small talks.
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Thank you for your thoughtful comment! I appreciate your insights on HIV and its historical context. It’s true that we have gained significant knowledge over the years regarding its transmission and prevention. Your perspective on the potential for future developments is also valuable, as public health is always evolving.
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Thank you for your sharing on expanding surveillance to include chronic hepatitis B cases. I agree that integrating data from hospitals and clinics is crucial for gaining a comprehensive understanding of the disease’s impact. Collaborating with other health services to track vaccination records and treatment plans is also essential. By establishing data-sharing agreements and creating a centralized database, we can enhance our public health efforts and improve patient outcomes.
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Hi Aung, Thank you for your insightful explanation of the misreporting of chronic cases. I agree that the distinction between acute and chronic cases is crucial for accurate epidemiological data. It can be continuous assessment and adaptation of reporting standards will be vital in addressing these gaps.
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Thank you for providing that information on how technology can assist with outbreak investigations. I concur that technology enables quicker data collection, particularly from remote locations, and the use of computer modeling can significantly enhance our ability to identify the causes of outbreaks with better speed and accuracy.
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Hello Tanaphum, Thank you for sharing the coding model; it presents an excellent opportunity for you to work there. It aids developers in understanding and managing code structure and logic. I agree that quality data is essential, and using a code model simplifies comprehension for both technical and non-technical users.
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