Scalable Strategies to Increase Efficiency and Augment Public Health Activities During Epidemic Peaks

Dana K Pasquale1, Whitney Welsh, Andrew Olson

  • 1Department of Population Health Sciences (Dr Pasquale), Department of Sociology (Drs Pasquale and Moody), Social Science Research Institute (Dr Welsh), Duke AI Health, School of Medicine (Messrs Olson and McCall), Duke Population Research Institute (Mr Yacoub), Duke Network Analysis Center (Dr Moody), Duke Office of Clinical Research, School of Medicine (Ms Barajas Gomez), Samuel DuBois Cook Center on Social Equity (Dr Bentley-Edwards), Department of Biomedical Engineering, Pratt School of Engineering (Dr Dunn and Ms Singh), Department of Biostatistics & Bioinformatics (Drs Dunn and Huang), Department of Medicine, School of Medicine (Dr Woods), Duke Global Health Institute (Dr Woods), Center for Infectious Disease Diagnostics & Innovation (Drs Petzold and Bowie), and Department of Surgery (Dr Huang), Duke University, Durham, North Carolina; LUMA Consulting, Durham, North Carolina (Ms Solis-Guzman); and Verily Life Sciences, South San Francisco, California (Dr Huang).

Abstract

Related Concept Videos

Steps in Outbreak Investigation01:18

Steps in Outbreak Investigation

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:
155
Principles of Disease Surveillance01:26

Principles of Disease Surveillance

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...
131
Statistical Methods for Analyzing Epidemiological Data01:25

Statistical Methods for Analyzing Epidemiological Data

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:
426
Methods Of Healthcare Delivery System01:26

Methods Of Healthcare Delivery System

At the different levels of the healthcare system, we see varying methods of healthcare used. These methods include managed care systems, case management, and primary healthcare.
Managed Care System:
The managed care system is designed to control the cost while maintaining the quality of care. The patient's care from admission to discharge is planned by the primary care provider or the case manager, also known as the gatekeeper. In a managed care system, the number of care providers is...
3.3K
Healthcare Associated Infections II: Preventive Measures01:22

Healthcare Associated Infections II: Preventive Measures

Essential infection prevention measures are based on the knowledge of the infection chain, the modes of transmission in healthcare settings, and the use of the best practices in all healthcare settings. Compulsory public reporting of healthcare-associated infection rates is needed to allow individuals and the community to make informed choices regarding selecting a healthcare facility.
The best practices for preventing healthcare-associated infections include hand hygiene, patient risk...
2.7K
Statistical Software for Data Analysis and Clinical Trials01:12

Statistical Software for Data Analysis and Clinical Trials

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...
652