Related Experiment Video
Updated: Oct 13, 2025
10:49
Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field
Published on: March 16, 2019
8.7K
Corrigendum: Data-Driven Surveillance: Effective Collection, Integration, and Interpretation of Data to Support
Fernanda C Dórea1, Crawford W Revie2
1Department of Disease Control and Epidemiology, National Veterinary Institute, Uppsala, Sweden.
Frontiers in Veterinary Science
|November 18, 2021
Summary
This study corrects the article DOI for a previous publication. The corrected DOI ensures proper citation and access to the research findings.
Area of Science:
- Veterinary Science
- Animal Health
- Biomedical Research
Context:
- Accurate referencing is crucial in scientific publishing.
- Ensuring correct digital object identifiers (DOIs) facilitates research accessibility.
- Previous publication DOI required correction for accurate tracking.
Purpose:
- To provide the correct Digital Object Identifier (DOI) for the article.
- To rectify a citation error in the scientific record.
- To ensure seamless access to the research.
Summary:
- The article DOI has been corrected to 10.3389/fvets.2021.633977.
- This correction ensures the integrity of scientific citation.
- Facilitates accurate retrieval of the published research.
Impact:
- Improves the accuracy of scientific literature databases.
- Enhances the discoverability and citation of the research.
- Supports reliable scientific communication and knowledge dissemination.
Related Concept Videos
01:26Principles of Disease Surveillance
231
Disease surveillance is the systematic collection, analysis, and interpretation of health data essential to the planning, implementation, and evaluation of public health practice. This process integrates data dissemination to entities responsible for preventing and controlling disease, injury, and disability. Surveillance systems provide crucial information for action, helping public health authorities make informed decisions to manage and prevent outbreaks, ensure public safety, optimize...
231
01:18Steps in Outbreak Investigation
253
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
253
01:12Statistical Software for Data Analysis and Clinical Trials
875
Statistical software is pivotal in data analysis and clinical trials by providing tools to analyze data, draw conclusions, and make predictions. These software packages range from simple data management applications to complex analytical platforms, supporting various statistical tests, models, and simulation techniques. Their significance lies in their ability to handle vast amounts of data with precision and efficiency, enabling researchers to validate hypotheses, identify trends, and make...
875
01:14Statistical Analysis System (SAS)
431
SAS, short for Statistical Analysis System, is a powerful data analysis, management, and visualization tool. Developed by the SAS Institute in the early 1970s, SAS has evolved into a comprehensive software suite used across various industries for statistical analysis, business intelligence, and predictive modeling.
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
Applications: SAS finds applications in numerous fields, including healthcare for clinical trial analysis, finance for risk assessment, marketing for customer data analysis, and...
431
01:25Statistical Methods for Analyzing Epidemiological Data
601
Epidemiological data primarily involves information on specific populations' occurrence, distribution, and determinants of health and diseases. This data is crucial for understanding disease patterns and impacts, aiding public health decision-making and disease prevention strategies. The analysis of epidemiological data employs various statistical methods to interpret health-related data effectively. Here are some commonly used methods:
601
01:30Data Collection I
7.2K
Data collection gathers information needed to make accurate judgments about a patient's present condition. During a health history interview, subjective data is collected from the patient, their caregivers, or family members, and objective data is collected through observations and physical assessment. Patients are the primary source of subjective data. Thus information gathered from patients through interviews, observations, and physical examination is primary data. Secondary sources of...
7.2K