Category:Data Capture Systems - Revision history

Bosmana fem: /* Electronic Data Capturing Systems (EDCS) */

2023-04-18T08:41:40Z

Electronic Data Capturing Systems (EDCS)

← Older revision		Revision as of 08:41, 18 April 2023
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	: These platforms are accessible through a web browser and offer data collection, management, and analysis features. Examples include REDCap, Epi Info, [https://portal.voozanoo.net/index.php Voozanoo], and [https://sormas.org/ SORMAS].		: These platforms are accessible through a web browser and offer data collection, management, and analysis features. Examples include REDCap, Epi Info, [https://portal.voozanoo.net/index.php Voozanoo], and [https://sormas.org/ SORMAS].

	;~~Custom~~-~~built Software Solutions~~		;Electronic Data Transfer
	: ~~Some organizations develop their software solutions for specific epidemiological projects~~ to ~~meet unique~~ data ~~capturing~~ and ~~analysis needs~~.		:Electronic data transfer systems play a significant role in efficiently sharing and analyzing data among healthcare providers, laboratories, and public health organizations. Examples are: Electronic Laboratory Reporting (ELR), Electronic Health Records (EHRs), Public Health Information Network (PHIN), National Electronic Disease Surveillance System (NEDSS), and Integrated Public Health Information System (iPHIS).

			;Online Reporting
			:These systems facilitate the reporting, analysis, and dissemination of disease surveillance data among healthcare providers, laboratories, public health agencies, and other stakeholders. Examples are Global Outbreak Alert and Response Network (GOARN), ProMED-mail, World Health Organization's Disease Outbreak News (DON), the European Surveillance System (TESSy), CDC's National Notifiable Diseases Surveillance System (NNDSS), and Epidemic Intelligence from Open Sources (EIOS).

			;Web-crawling Applications
			:These tools use automated processes to search and collect data from the internet, including news articles, social media, blogs, and other web-based sources, for potential signals of disease outbreaks or emerging public health threats. Examples are: Global Public Health Intelligence Network (GPHIN), HealthMap, EpiSPIDER, and BioCaster.

	===Key Features of Data Capturing Systems in Field Epidemiology===		===Key Features of Data Capturing Systems in Field Epidemiology===

Bosmana fem: /* Electronic Data Capturing Systems (EDCS) */

2023-04-18T06:26:18Z

Electronic Data Capturing Systems (EDCS)

← Older revision		Revision as of 06:26, 18 April 2023
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	;Mobile Data Collection Tools		;Mobile Data Collection Tools
	: These are applications designed for smartphones or tablets that allow field workers to collect data electronically. Examples include Open Data Kit (ODK), Kobo Toolbox, and ~~SurveyCTO~~.		: These are applications designed for smartphones or tablets that allow field workers to collect data electronically. Examples include Open Data Kit (ODK), Kobo Toolbox, and [https://www.who.int/tools/godata GoDATA].

	;Web-based Data Collection Platforms		;Web-based Data Collection Platforms
	: These platforms are accessible through a web browser and offer data collection, management, and analysis features. Examples include REDCap, Epi Info, and ~~Qualtrics~~.		: These platforms are accessible through a web browser and offer data collection, management, and analysis features. Examples include REDCap, Epi Info, [https://portal.voozanoo.net/index.php Voozanoo], and [https://sormas.org/ SORMAS].

	;Custom-built Software Solutions		;Custom-built Software Solutions

Bosmana fem: /* Paper-based Systems */

2023-04-18T06:23:18Z

Paper-based Systems

← Older revision		Revision as of 06:23, 18 April 2023
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	==Paper-based Systems==		==Paper-based Systems==

	Historically, paper-based data-capturing systems have been widely used in field epidemiology, involving the use of questionnaires, surveys, and checklists. While these methods are still in use, they have several limitations, such as the potential for human error, slow data entry, and data storage and retrieval challenges.		Historically, paper-based data-capturing systems have been widely used in field epidemiology, involving the use of [[Questionnaire Design\|questionnaires]], surveys, and [[Checklist for study protocols\|checklists]]. While these methods are still in use, they have several limitations, such as the potential for human error, slow data entry, and data storage and retrieval challenges.

	==Electronic Data Capturing Systems (EDCS)==		==Electronic Data Capturing Systems (EDCS)==

Bosmana fem: /* Conclusion */

2023-04-18T06:21:57Z

Conclusion

← Older revision		Revision as of 06:21, 18 April 2023
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	Data-capturing systems are critical tools in field epidemiology, as they facilitate data collection, storage, and analysis to identify and address public health issues. Electronic data-capturing systems offer numerous advantages over traditional paper-based methods, including improved data quality, faster data collection and analysis, and enhanced collaboration. As the field of epidemiology continues to evolve, these systems will play an increasingly important role in managing and analyzing public health data.		Data-capturing systems are critical tools in field epidemiology, as they facilitate data collection, storage, and analysis to identify and address public health issues. Electronic data-capturing systems offer numerous advantages over traditional paper-based methods, including improved data quality, faster data collection and analysis, and enhanced collaboration. As the field of epidemiology continues to evolve, these systems will play an increasingly important role in managing and analyzing public health data.

			=References=
			<References/>

	[[Category:Public Health Informatics]]		[[Category:Public Health Informatics]]

Bosmana fem at 06:21, 18 April 2023

2023-04-18T06:21:36Z

← Older revision		Revision as of 06:21, 18 April 2023
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			Field epidemiologists use several types of data-capturing systems to collect and manage data. These systems can be categorized into two primary types: paper-based and electronic<ref>This text was originally written by ChatGPT4.0 and edited by Arnold Bosman</ref>.

			==Paper-based Systems==

			Historically, paper-based data-capturing systems have been widely used in field epidemiology, involving the use of questionnaires, surveys, and checklists. While these methods are still in use, they have several limitations, such as the potential for human error, slow data entry, and data storage and retrieval challenges.

			==Electronic Data Capturing Systems (EDCS)==

			In recent years, electronic data-capturing systems have become increasingly popular due to their efficiency, accuracy, and ease of use. Some examples of EDCS include:

			;Mobile Data Collection Tools
			: These are applications designed for smartphones or tablets that allow field workers to collect data electronically. Examples include Open Data Kit (ODK), Kobo Toolbox, and SurveyCTO.

			;Web-based Data Collection Platforms
			: These platforms are accessible through a web browser and offer data collection, management, and analysis features. Examples include REDCap, Epi Info, and Qualtrics.

			;Custom-built Software Solutions
			: Some organizations develop their software solutions for specific epidemiological projects to meet unique data capturing and analysis needs.

			===Key Features of Data Capturing Systems in Field Epidemiology===
			Effective data-capturing systems in field epidemiology should possess certain features to ensure data quality, accuracy, and ease of use. Some key features include:

			;User-friendly Interface
			: Systems should be easy to navigate and use, enabling fieldworkers to collect data quickly and accurately.

			;Data Validation
			: The system should have built-in data validation to minimize errors during data entry.

			;Offline Capabilities
			: The ability to work offline is crucial, as field epidemiologists often work in remote areas with limited internet connectivity.

			;Data Security
			: The system should have strong security measures to protect sensitive epidemiological data.

			;Data Export and Integration
			: The ability to export data into various formats and integrate it with other systems is essential for efficient data analysis and sharing.

			===Benefits of Electronic Data Capturing Systems in Field Epidemiology===
			Adopting electronic data capturing systems in field epidemiology offers numerous benefits, such as:

			;Improved Data Quality
			: Electronic systems reduce human error and improve data validation, leading to more accurate and reliable data.

			;Faster Data Collection and Analysis
			: Electronic systems enable quicker data entry and real-time analysis, allowing for rapid response to public health issues.

			;Cost-effectiveness
			: Over time, electronic systems can reduce costs associated with data collection, storage, and analysis.

			;Enhanced Collaboration
			Electronic systems make sharing data with team members and stakeholders easier, facilitating collaboration and informed decision-making.

			==Conclusion==

			Data-capturing systems are critical tools in field epidemiology, as they facilitate data collection, storage, and analysis to identify and address public health issues. Electronic data-capturing systems offer numerous advantages over traditional paper-based methods, including improved data quality, faster data collection and analysis, and enhanced collaboration. As the field of epidemiology continues to evolve, these systems will play an increasingly important role in managing and analyzing public health data.

	[[Category:Public Health Informatics]]		[[Category:Public Health Informatics]]

Bosmana fem: Bosmana fem moved page Data Capture Systems to Category:Data Capture Systems

2023-03-23T10:45:00Z

Bosmana fem moved page Data Capture Systems to Category:Data Capture Systems

← Older revision	Revision as of 10:45, 23 March 2023
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Bosmana fem: Created page with " Category:Public Health Informatics"

2023-03-23T10:42:45Z

Created page with " Category:Public Health Informatics"

New page

[[Category:Public Health Informatics]]