Infection and Drug Resistance
Scope & Guideline
Transforming public health discourse on infectious diseases.
Introduction
Aims and Scopes
- Antimicrobial Resistance Mechanisms:
Research on the genetic and phenotypic mechanisms of antimicrobial resistance in various pathogens, including bacteria, fungi, and viruses, is a primary focus, aiming to elucidate the pathways through which resistance develops and spreads. - Infectious Disease Epidemiology:
The journal publishes studies that analyze the epidemiological trends of infectious diseases, including their transmission dynamics, risk factors, and the impact of social and environmental determinants on disease outbreaks. - Clinical Outcomes and Treatment Strategies:
Articles explore clinical outcomes associated with different treatment regimens for infections, particularly those caused by multidrug-resistant organisms, and evaluate the efficacy and safety of novel therapeutic agents. - Diagnostic Innovations:
There is a strong focus on the development and validation of new diagnostic methods, including molecular techniques such as metagenomic next-generation sequencing, aimed at improving the speed and accuracy of pathogen identification. - Public Health Interventions:
The journal highlights studies on public health interventions and strategies for infection prevention and control, particularly in healthcare settings, to mitigate the impact of drug-resistant infections. - Global Health Perspectives:
Research articles often incorporate global health perspectives, addressing the challenges of infectious diseases and antimicrobial resistance in various geographical and socio-economic contexts.
Trending and Emerging
- Metagenomic Approaches:
There is a rising trend in the application of metagenomic next-generation sequencing for diagnosing complex infections, allowing for a more comprehensive understanding of microbial communities and resistance profiles. - Machine Learning and AI in Infectious Diseases:
The integration of machine learning and artificial intelligence in predicting infection outcomes and resistance patterns is gaining traction, with studies exploring how these technologies can enhance clinical decision-making. - Impact of COVID-19 on Other Infections:
Research examining the impact of the COVID-19 pandemic on the epidemiology and management of other infectious diseases, including the resurgence of previously controlled infections, is increasingly relevant. - Vaccination Strategies and Acceptance:
With the ongoing vaccination efforts against COVID-19 and other infectious diseases, research on vaccine uptake, acceptance, and the associated factors is becoming a significant focus area. - One Health Approach:
The journal is increasingly publishing articles that adopt a One Health perspective, addressing the interconnectedness of human, animal, and environmental health in the context of infectious diseases and antimicrobial resistance. - Public Health Strategies for Infection Control:
There is a growing emphasis on evaluating and developing public health strategies and interventions for infection prevention and control, particularly in healthcare settings and during outbreaks.
Declining or Waning
- Traditional Antibiotic Approaches:
Research focusing solely on conventional antibiotic therapies without considering resistance mechanisms or the need for combination therapies has declined as the field shifts towards more integrated approaches to combat resistance. - Single-Agent Studies:
Studies evaluating the efficacy of single-agent antibiotic therapies have become less frequent as the understanding of polymicrobial infections and the need for combination therapies gains prominence. - Basic Laboratory Research:
There is a noticeable decline in purely basic laboratory studies that do not translate into clinical relevance or application, as the journal increasingly prioritizes translational research with direct implications for patient care. - Historical Epidemiological Data:
Research that focuses solely on historical epidemiological data without providing insights into current trends or implications for practice appears to be waning, reflecting a shift towards real-time data analysis and its application in public health.
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