Related Experiment Video

Updated: Aug 13, 2025

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics
06:54

Author Spotlight: Understanding and Detecting Environmental Antimicrobial Resistance by Combining Culture-Based Techniques and Genomics

Published on: July 19, 2024

1.2K

Knowledge graph of wastewater-based epidemiology development: A data-driven analysis based on research topics and

Zhihan Gao1, Min Gao2, Chun-Hua Chen3

  • 1School of Environment and Energy, South China University of Technology, Higher Education Mega Center, 510006, Guangzhou, China.

Environmental Science and Pollution Research International
|January 20, 2023
PubMed

Keywords:
Development trendsKnowledge graphPaper mining analysisResearch hotspotsText extraction toolWastewater-based epidemiology

More Related Videos

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration10:53

Concentration of Virus Particles from Environmental Water and Wastewater Samples Using Skimmed Milk Flocculation and Ultrafiltration

Published on: March 17, 2023

1.6K
Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations08:03

Heuristic Mining of Hierarchical Genotypes and Accessory Genome Loci in Bacterial Populations

Published on: December 7, 2021

2.3K

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:
166
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:
463
Introduction to Epidemiology01:26

Introduction to Epidemiology

Epidemiology, known as the cornerstone of public health, involves studying the distribution and determinants of health-related events in defined populations and applying these insights to control health issues. This is essential for understanding how diseases spread, identifying populations at greater risk, and implementing measures to control or prevent outbreaks. Epidemiology addresses not only infectious diseases but also non-communicable conditions like cancer and cardiovascular disease,...
882
Sources of Water Pollution01:25

Sources of Water Pollution

Sources of Water PollutionWater pollution happens when harmful substances, like trash, chemicals, or waste, enter rivers, lakes, oceans, or groundwater and make the water unsafe. Polluted water can hurt fish, plants, animals, and people. We all need clean water to survive, so keeping it safe is important. Water pollution can come from many sources, including industrial waste from factories, pesticides and fertilizers from farms, sewage discharge, oil spills, and plastic litter. Learning about...
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...
708
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...
159