Epi Info has goned on the marketplace for twenty years as well as is the software program of choice for several investigation as well as clinical facilities across the planet. This possesses a great perk over the conventional study questionnaires, by automaticing records entering and study, thereby conserving opportunity and increasing efficiency. Epi Info setup bundles a wide range of components that possess separate purposes, therefore differentiating show business of a full epidemiologic review process. Because of this, it relies upon a Kind Developer that enables the development of studies containing several questions that can be positioned on the page in correspondence along with the individual's need.
The Kind Professional showcases a 'Check Code' functionality that forces occasions to take place depending on various problems in the information set. For instance, if the topic is a guy, all concerns connected to the characteristics specific for a lady are actually hidden, hence greatly simplifying the questionnaire function. Because we both are using highly flexible, similar technologies, there is a real opportunity for collaboration and outright code-sharing.
We feel it would be easy to extend their application, wrap it in an electron framework with an embedded NoSQL database, and allow for a robust offline use-case. This would simply not be possible if each group were not using such widely adopted technologies, and it shows the power and need for additional software standardization. Importantly, new technologies must first be examined and evaluated based on the quality of community support. Public-Health is a critical domain, and it would not be wise to imprudently experiment with untested and weakly-supported tools.
This was discovered first hand by our researchers, particularly when tasked with choosing an acceptable local NoSQL database. Many newer, lightweight NoSQL databases have very shallow documentation and community support. ForerunnerDB was one such product which ultimately proved impractical. Development was drastically slowed whenever a small bug was found in the database code because the required documentation literally did not exist. Eventually, PouchDB was discovered, and we found it to have adequate support, greatly simplifying and expediting the development process.
Creative system design can alleviate many of the undesirable qualities typically associated with cross-platform frameworks, such as Electron. This can require a mix of languages, databases, and design patterns. The power of the resulting system has, in this case, proven to be worth the effort, successfully addressing many of the necessary system requirements. With our cross-platform framework design for Epi-Info, the international community will now have the tools to rapidly respond to an emergency outbreak, even under remote conditions.
By designing a single code-base that is capable of generating executables for multiple platforms, developers can quickly provide customized components to those deployed. Our work towards optimizing the data analytics will enable better coordination and a more effective response to any outbreak around the globe. However, future research is still needed, such as the development and deployment of Epi-Info on mobile devices, including hand held tablets and smart phones.
Operating system s : Platform independent. However, there are known issues with respect to installing electron on Ubuntu Recommend Ubuntu 14 for development. Will not work out of the box on Ubuntu Any restrictions to use by non-acedemics: Not applicable. Research was partially funded by the CDC under contract number BC was responsible for project Management. He was fully involved in most aspects of system specifications, design, and development.
AGB was the project lead and contributed substantially with respect to analysis of system performance. XC acted in a supervory role and offered networking expertise. RS acted in a supervisory role and contributed significantly during the system specification and design phase.
JKM was the primary researcher responsible for data analytics.
Survey Software: Platforms summary
NR researched and selected the appropriate databases. JW was responsible for development of the form designer. All authors read and approved the final manuscript. Blake Camp, Email: ude. Jaya Krishna Mandivarapu, Email: ude. Nagashayan Ramamurthy, Email: ude. James Wingo, Email: ude. Anu G.
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Bourgeois, Email: ude. Xiaojun Cao, Email: ude. Rajshekhar Sunderraman, Email: ude. National Center for Biotechnology Information , U. BMC Bioinformatics. Published online Oct Bourgeois , Xiaojun Cao , and Rajshekhar Sunderraman. Author information Article notes Copyright and License information Disclaimer. Corresponding author. Abstract Background The Epi-Info software suite, built and maintained by the Centers for Disease Control and Prevention CDC , is widely used by epidemiologists and public health researchers to collect and analyze public health data, especially in the event of outbreaks such as Ebola and Zika.
Results We have successfully generated executables for Linux, Mac, and Windows from a single code-base, and we have shown that performance need not be completely sacrificed when building a cross-platform application. Conclusions Promising results warrant future research.
Background Developed by the Centers for Disease Control and Prevention CDC [ 1 ], Epi-Info is a software package which enables public health workers to assess disease outbreak, collect data, manage surveillance data sets, and analyze data [ 2 ]. Implementation We present a cross-platform system architecture which allows for intuitive form-design, data-collection, online and offline modes, automatic local-remote data sync, fast analytics, and scalable storage. Open in a separate window. Analytics Module Epi-Info is essentially data-collection and analytics software. Table 1 Approximate time-requirements for critical data-flow processes.
Form Designer The challenge associated with building a web-based form designer is derived from a need to balance flexibility with specificity. Results To date, we have successfully generated executables for Windows, Mac, and Linux machines from a single code base, and we have shown that performance need not be completely sacrificed when building a cross-platform application. High level view of step-by-step analytics optimization using multiple cores.
Epi Info 220.127.116.11
Additional Considerations The design presented in this paper should be regarded as one acceptable approach with respect to the the aforementioned requirements. Conclusions Creative system design can alleviate many of the undesirable qualities typically associated with cross-platform frameworks, such as Electron.
Funding Research was partially funded by the CDC under contract number Notes Ethics approval and consent to participate Not applicable. Consent for publication Not applicable. Competing interests The authors declare that they have no competing interests. Contributor Information Blake Camp, Email: ude. References 1. Centers for Disease Control and Prevention. Several facts are obtained from the user manuals of the underlying software, and from Wikipedia, the web-based free encyclopaedia.
Skip to content. Module A1 1. Purpose and Expected Learning Outcomes 1. What is a school records management system SRMS? What does a school records management system records? How to operate a school records management system? SRMS roles, responsibilities and competencies 6. Data quality assurance 7. Transformation, analysis and use of school records and information 7.
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Standardizing school records 8. Benefit of SRMS Quiz Further studies Module A2 1. Purpose and expected learning outcomes 1. The need for data by level of education administration 3. A general introduction to data collection 3. School census 4. Data quality control 6. Quiz 8.
Further studies Module A3 1. The concept of indicators 2. Types of indicators. The importance of using indicators 4. EFA Indicators 5. Additional education indicators 6. Selection and use of education indicators 7.
Data analysis using education indicators 8. Disaggregation of education indicators 9. Purpose and expected learning outcomes of this module 1. Use of data and information at school and district level 3. Data transformation and presentation 3. Using EFA indicators 5. Access and participation 5. Quality of education 6. School environment and facilities 7. Learning materials 8. Teaching-learning processes Learning achievements and outcomes Impact Further studies Module A5 1. Need for education data and information flow 3.
Data and information flow within the education system 3. Horizontal information dissemination 4.
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Data and information flow within a school 5. Quiz 7. Further studies. Module B1 1. Understanding Household Surveys and Population Census 1. Brief Information about Common Household Surveys 2. Exercises and further studies 4. Tips and Exercises 5. Metadata Preparation 1.