Infection and Drug Resistance

Respiratory Syncytial Virus (RSV) can lead to symptoms akin to the common cold or winter flu, runny nose, cough, fever and so on. While the body can conquer the infection by itself, there are serious implications to being infected with RSV, as it is a common cause of pneumonia or bronchitis in infants aged under one year of age. Vulnerable patients, including the elderly and immunocompromised, may also be put at risk of further harm from an RSV infection.

During the COVID-19 pandemic, a dip in RSV infections was noted in the United States, meaning the pandemic could have influenced the transmission of RSV during this period. This Thematic Series will consider how infection rates prior to the pandemic differ from to those from 2020 onwards. Questions we’ll be asking include the factors leading to these changes, how does COVID-19 infection affect RSV, or mortality rates. The body’s immunity response will also have a vital role in this Thematic Series, to provide further understanding on where the dangers of RSV lie.

Considering these topics, we hope the submissions will culminate into a fount of knowledge about RSV. This includes efforts to find successful treatments and preventions for RSV, such as antiviral drugs and vaccinations. What sort of treatment should drug developers be looking for? Do we need to take consideration of special populations? These facets of a complicated infection – such as RSV – will be accounted for in this crucial Thematic Series.

The journal is seeking original submissions and review articles on the following topics related to RSV:

• Infection rates before and since the COVID-19 pandemic
• Driving factors behind the infection changes
• Immunity cell responses to RSV and the role of antiviral inhibitors
• RSV interactions with cell receptors
• Infant mortality rates from RSV
• Pneumonia deaths originating from RSV infection
• Interaction between COVID-19 and RSV infections
• Different vaccination types currently in development (e.g., Live attenuated, mRNA, polyvalent etc.)

The deadline for submissions is 31 May 2025.

Please submit your manuscript on our website, quoting the promo code PUYAG to indicate that your submission is for consideration in this Article Collection.

View all papers in this thematic series

Dove Medical Press is pleased to invite you to submit your research to an upcoming Article Collection on "Helicobacter pylori Infection and Antibiotic Resistance" in Infection and Drug Resistance.

One of the most pressing challenges in managing Helicobacter pylori infections today is the alarming rise in antibiotic-resistant strains. Resistance rates to commonly used antibiotics such as clarithromycin, metronidazole, and levofloxacin range between 15% and 50% worldwide, with even higher rates reported in Asian regions. This increase in resistance significantly complicates the treatment of infections, making standard therapies less effective and necessitating the development of more precise, personalized approaches. Comparative analyses of global and local antibiotic resistance profiles are essential for understanding regional differences in resistance, particularly in countries with high prevalence rates. Accurate and timely data on these resistance profiles will help clinicians adapt their treatment strategies to combat resistant strains more effectively, preventing further complications from untreated infections.

Rapidly and accurately diagnosing H. pylori infections and determining antibiotic resistance profiles are critical to controlling the spread of resistant strains and ensuring effective treatment. Novel methods for detecting H. pylori infection and antibiotic resistance are increasingly becoming a focus of research, with innovations such as molecular diagnostic tools showing promise for quicker and more accurate detection.

The rising prevalence of antibiotic-resistant H. pylori strains demands the development of novel treatment strategies aimed at precise eradication of the infection. Alternative treatment strategies such as quadruple therapy, sequential therapy, and bismuth-containing regimens are being explored. Precision medicine approaches offer the potential for more tailored treatment plans. This approach may also reduce the likelihood of further resistance developing by minimizing unnecessary antibiotic use.

Comparative analysis of H. pylori genomes has revealed significant genetic variability among strains, which can influence their pathogenicity, virulence, and resistance to antibiotics. Understanding these genetic differences is key to developing targeted therapies and vaccines that are effective against a broad range of H. pylori strains. Moreover, genomic studies can provide insights into the evolutionary mechanisms driving antibiotic resistance, helping researchers identify potential targets for new drugs or treatment strategies that can circumvent resistance.

This Article Collection seeks contributions that address the following key areas in the field of H. pylori research.

• Global and local infection rates and antibiotic resistance profiles
• Diagnostic methods with a focus on identifying the most effective techniques for detecting H. pylori infections and assessing antibiotic resistance
• Development of novel methods for detection and innovative treatment strategies
• Comparative genomic analyses of H. pylori strains and studies investigating the links between H. pylori infection and gastric diseases

These research efforts will help inform more effective management of H. pylori infections and contribute to the development of precision medicine approaches that can combat the growing problem of antibiotic resistance.

All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.

The deadline for submissions is 15 August 2025.

Please submit your manuscript on our website, quoting the promo code MAQCV for a 10% discount on the Article Processing Charge and to indicate that your submission is for consideration in this Article Collection.

Please contact Zhiyuan Zhang at [email protected] with any queries regarding this Article Collection.

Guest advisor

Liang Wang, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China

[email protected]

Prof. Liang Wang is currently working as a chief scientist, principal investigator, and group leader at the Department of Laboratory Medicine, Guangdong Provincial People’s Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, China. He is also an adjunct research fellow at the University of Queensland and the University of Western Australia and an adjunct associate professor at Edith Cowan University. His current research interests include but not limited to microbial physiology and metabolism, rapid diagnosis of bacterial pathogens, microbial informatics, and glycogen structure and functions. Prof. Wang has edited seven books and published more than 130 peer-reviewed articles in international journals such as Lancet Microbe, ISME, and Emerging Infectious Diseases, etc.

View all papers in this article collection

Dove Medical Press is pleased to invite you to submit your research to an upcoming Article Collection on "Emerging Trends in Multidrug-Resistant Infections" in Infection and Drug Resistance.

Multidrug-resistant infections represent a critical global health crisis, posing significant threats to public health, economics, and patient safety. As resistance to antibiotics increases, healthcare providers face a diminishing arsenal of effective treatments, complicating the management of infections and leading to higher morbidity and mortality rates. This situation results in longer hospital stays and increased medical costs, imposing a substantial economic burden on healthcare systems. Vulnerable populations, such as the elderly and immunocompromised individuals, are particularly at risk, underscoring the urgency to confront this challenge. Moreover, the global nature of infectious diseases means that resistance can lead to widespread outbreaks that transcend national borders, necessitating coordinated global responses and enhanced surveillance efforts.

Addressing multidrug resistance is essential to protect public health, preserve modern medical achievements, and ensure that effective treatment options remain available for future generations. It becomes imperative to understand the epidemiology, mechanisms, and clinical implications of these infections.

This Article Collection aims to unite innovative research that examines the numerous facets of multidrug resistance, including the mechanisms of antibiotic resistance, the epidemiology of multidrug resistance pathogens, outbreaks by multidrug resistance, the role of novel therapeutic strategies such as phage therapy and antimicrobial peptides, public health implications, and effects on patient outcomes. Additionally, contributions addressing the socioeconomic impact of drug resistance, public health interventions, and strategies for infection prevention and control are welcome. Articles on the development of rapid diagnostics and stewardship programs that promote responsible antibiotic use will also be prioritized.

Preferred article types for this Collection are original research, reviews, guidelines, expert opinions, commentary and clinical studies in all areas of infection and drug resistance that provide insights into emerging trends and innovative solutions in the fight against multidrug-resistant infections.

By featuring groundbreaking studies from various disciplines, we aim to provide a thorough overview that enriches future research and clinical practice. We invite researchers worldwide to submit their manuscripts that explore new trends, emerging patterns, and potential solutions for combating multidrug-resistant infections. This is a vital opportunity to contribute to a critical dialogue aimed at improving global health outcomes in an era where resistance threatens to outpace available treatments. Join us in this essential conversation and share your findings with the broader scientific community.

Keywords

• Multidrug Resistance
• Antibiotic Stewardship
• Infection Control
• Novel Therapies
• Epidemiology

All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.

The deadline for submissions is 31 December 2025.

Please submit your manuscript on our website, quoting the promo code KTNFZ for a 10% discount on the Article Processing Charge and to indicate that your submission is for consideration in this Article Collection.

Please contact Zhiyuan Zhang at [email protected] with any queries regarding this Article Collection.

Guest advisor

Muhammad A. Halwani, Al Baha University, Faculty of Medicine, Saudi Arabia

[email protected]

Dr. Muhammad A Halwani a distinguished professor and consultant specializing in infection control, boasting over 21 years of extensive experience in this vital field. His expertise spans infection control, hospital epidemiology, and clinical microbiology, making him a leading figure in advancing research and practice. As the editor of this special issue, Dr. Halwani warmly invites researchers to contribute their innovative findings and insights, fostering a collaborative environment for sharing knowledge and advancing the field.

View all papers in this article collection

Dove Medical Press is pleased to announce a new Article Collection in Infection and Drug Resistance, dedicated to the role of artificial intelligence (AI) in the prediction of drug resistance.

AI has the potential to revolutionize patient care, offering significant benefits in predicting drug response and resistance and improving antibiotic stewardship. Given the importance of AI in this setting, we are pleased to invite submissions of original research articles, reviews, and perspectives on the topic.

The Collection, edited by Editor-In-Chief Professor Oliver Planz, will be included in Taylor & Francis’ Game Changer Series. This series features Article Collections focused on breakthrough therapies, drugs, or technologies that have significantly altered the standard of care, leading to game-changing improvements in patient outcomes. Papers published within the Game Changer series will benefit from additional promotional activities across Taylor and Francis, increasing the discoverability and visibility of your research.

While the call is open to receive manuscripts across the broad spectrum of AI in predicting drug resistance, the Editors are particularly interested in manuscripts relating to the following areas:

• The performance of AI/machine learning techniques in combating antimicrobial resistance
• Studies relating to emerging resistance patterns and potential hotspots
• Design and evaluation of user-friendly machine learning decision support systems
• Challenges and opportunities for practical implementation
• Topics relating to ethics, data privacy, and algorithmic bias

All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.

The deadline for submissions is 1 January 2026.

Please submit your manuscript on our website, quoting the promo code AOWGL for a 20% discount on the Article Processing Charge and to indicate that your submission is for consideration in this Article Collection.

Please contact Zhiyuan Zhang at [email protected] with any queries and discount codes regarding this Article Collection.

Guest Advisor

Oliver Planz, University of Tübingen, Germany

View all papers in this article collection

Dove Medical Press is pleased to announce a new Article Collection in Infection and Drug Resistance, dedicated to the game-changing role of personalised antimicrobial strategies in managing infectious disease.

In contrast to the standard “one-size-fits-all" approach to prescribing antibiotics, personalized antimicrobial strategies involve using advanced diagnostics and data-driven approaches to determine the best course of treatment for an individual patient. Bringing a precision medicine approach to infectious disease management improves patient outcomes and promotes antimicrobial stewardship.

In light of the growing importance of personalized antimicrobial techniques, Infection and Drug Resistance invites submissions of original research articles, reviews, and perspectives that advance our understanding and use of these strategies.

The Collection, Edited by Editor-In-Chief Professor Oliver Planz, will be included in Taylor & Francis’ Game Changer Series. This series features Article Collections focused on breakthrough therapies, drugs, or technologies that have significantly altered the standard of care, leading to game-changing improvements in patient outcomes.

While the call is open to receive manuscripts across the broad spectrum of personalized antimicrobial strategies, the Editors are particularly interested in manuscripts relating to the following areas:

• Molecular diagnostics
• Microbiome analysis
• Resistance profiling
• Clinical implementation & therapeutic drug monitoring
• Personalized therapy in specific populations, including pregnancy.
• Economics and cost-effectiveness
• Ethical and regulatory considerations
• Patient education and engagement

Papers published within the Game Changer series will benefit from additional promotional activities across Taylor and Francis, increasing the discoverability and visibility of your research.

All manuscripts submitted to this Article Collection will undergo desk assessment and peer-review as part of our standard editorial process. Please review the journal Aims and Scope and author submission instructions prior to submitting a manuscript.

The deadline for submissions is 1 January 2026.

Please submit your manuscript on our website, quoting the promo code LTMAV for a 20% discount on the Article Processing Charge and to indicate that your submission is for consideration in this Article Collection.

Please contact Zhiyuan Zhang at [email protected] with any queries and discount codes regarding this Article Collection.

Guest Advisor

Oliver Planz, University of Tübingen, Germany

View all papers in this article collection