Infectious diseases encompass conditions caused by pathogenic microorganisms such as bacteria, viruses, fungi, and parasites. This research field investigates how infectious diseases spread, their biological mechanisms, and methods to diagnose, treat, and prevent them. As a vital area within Clinical sciences, infectious diseases research plays a crucial role in public health and medical advancements. JoVE Visualize enhances this understanding by pairing PubMed articles with JoVE’s experiment videos, offering researchers and students a deeper insight into experimental approaches and research findings.
Researchers commonly use laboratory techniques like microbial culture, polymerase chain reaction (PCR), serology, and microscopy to identify and study infectious agents. Animal models and epidemiological studies help examine disease progression and transmission dynamics. Molecular methods enable detection of infectious diseases examples and detailed characterization of pathogens. These core approaches are fundamental for understanding infection mechanisms and informing clinical practices.
Innovative approaches such as metagenomics, single-cell sequencing, and CRISPR-based diagnostics are transforming infectious diseases research. These techniques offer enhanced sensitivity and specificity in identifying pathogens from complex samples. Additionally, advances in bioinformatics and machine learning facilitate analysis of large epidemiological datasets, improving outbreak prediction and management. Integration of these emerging methods with traditional tools strengthens investigations documented in the Infectious Diseases journal and related resources.
Miao Wang, Chengjie Ye, Xuan Gao, Yuping Qian, Tianxing Feng, Yu Shi
Konstantin Yaakov Gushansky, Pinja Sutinen, Sohee Jeon, Raimo Tuuminen
Byron Cohen, Boyu Ren, William Hanage, Nicolas Menzies, Kevin Croke
Wanderley de Souza, Ana Paula Gadelha, Marlene Benchimol
Janaki Kumaraswamy, Agilandeeswari Kirubanathan, Karthik Gunasekaran, K P P Abhilash, John Antony Jude Prakash
Sonia Labarinas, Jon Meliones
Jieling Chen, Lingling Liu, Rongji Mu, Jinjie Liu, Jing Chen, Yaping He
Hannah Richter, Thorsten Brenner, Martin Schuster