Major Infectious Diseases Research Articles

The Intelligent Infectious Disease Active Surveillance and early warning system in China: An application of dengue prevention and control

Utilizing advanced information technologies such as big data and artificial intelligence (AI), China has established and implemented the Intelligent Infectious Disease Active Surveillance and Early Warning System. It provides new tools for the surveillance, early warning, and response to infectious diseases, enhancing the timeliness, scientific basis, and efficiency of epidemic control efforts. The system comprises four functional modules including multi-channel active surveillance, intelligent early warning, data-driven risk assessment, and smart emergency response. This paper provides a detailed overview of the structure and functions of the Intelligent Infectious Disease Active Surveillance and Early Warning System in China, with a specific focus on its application in dengue prevention and control in Hainan Province from February to May 2024. Firstly, the system can proactively capture and integrate heterogeneous surveillance data from multiple sources. Based on these multi-channel data, users can select appropriate warning indicators and AI models to automatically trigger early warnings. Using vast amounts of surveillance data, the system can construct machine learning models to accurately assess the transmission risk of infectious diseases. In terms of emergency response, the system offers powerful tools for early diagnosis, smart epidemiological investigation, digital contact tracing, vaccine and drug development, and evaluation of intervention measures. This system facilitates early detection, reporting, and management of outbreaks, serving as a valuable reference for other countries and regions. Nevertheless, continuous efforts are needed to strengthen scientific research and multidisciplinary collaboration, establish reliable data collection mechanisms, enhance continuous model monitoring and adjustments, and leverage the latest large language models. In the future, the system will be further optimized to help control emerging and major infectious diseases more effectively.

Risk Management for Whole-Process Safe Disposal of Medical Waste: Progress and Challenges.

Over the past decade, the global outbreaks of SARS, influenza A (H1N1), COVID-19, and other major infectious diseases have exposed the insufficient capacity for emergency disposal of medical waste in numerous countries and regions. Particularly during epidemics of major infectious diseases, medical waste exhibits new characteristics such as accelerated growth rate, heightened risk level, and more stringent disposal requirements. Consequently, there is an urgent need for advanced theoretical approaches that can perceive, predict, evaluate, and control risks associated with safe disposal throughout the entire process in a timely, accurate, efficient, and comprehensive manner. This article provides a systematic review of relevant research on collection, storage, transportation, and disposal of medical waste throughout its entirety to illustrate the current state of safe disposal practices. Building upon this foundation and leveraging emerging information technologies like Internet of Things (IoT), cloud computing, big data analytics, and artificial intelligence (AI), we deeply contemplate future research directions with an aim to minimize risks across all stages of medical waste disposal while offering valuable references and decision support to further advance safe disposal practices.

The history of the Japanese Society for Neuro-infectious Diseases: Foundation, objectives, and legacy.

The Japanese Research Group for Neuro-infectious Diseases was founded in August 1996, and by 2004 it had evolved into the Japanese Society for Neuro-infectious Diseases. The Society focuses on neuroinfectious conditions (e.g., encephalitis/encephalopathy, myelitis, and meningitis), providing a venue for academic presentations and exchanges. Clinical guidelines for major neurological infectious diseases are also published by the Society, in order to meet the social demands of each era. Although the threat of herpes simplex encephalitis has declined due to acyclovir's introduction, the frequency of encephalitis or peripheral neuropathy caused by varicella-zoster virus is increasing. In Japan, prion disease, human T-cell leukemia virus-1 (HTLV-1)-associated myelopathy (HAM), subacute sclerosing panencephalitis (SSPE), and progressive multifocal leukoencephalopathy (PML) are designated as intractable diseases. The incidence of prion disease is 1.8/1,000,000 individuals, with the sporadic type accounting for 80%. Prion disease is fatal, and effective medications are awaited. HAM's prevalence is ~3/100,000 individuals, with a male-to-female ratio of 1:2-3. HAM is common in western Japan, including Kyushu and Okinawa. The prevalence of PML is rising with the spread of both immunosuppressive therapy for transplantation and treatment for multiple sclerosis. From late 2019 through 2020, the world faced a global outbreak of coronavirus disease 2019 (COVID-19) due to virus mutations, and the threat of new mutations persists. Close attention should be paid to the emergence of new neurological infections that could arise from abnormal weather patterns and/or a decline in immune function due to aging.

Prevalence of Bovine Hydatidosis in Cattle Slaughtered at Nekemte Municipal Abattoir, Western Ethiopia.

Hydatidosis (cystic echinococcosis) is one of the major serious parasite infectious diseases that cause poor weight gain and organ condemnation, which contributes to Ethiopia's low cattle industry production. A cross-sectional study was performed at the Nekemte Municipal Abattoir, Western Ethiopia, from October 2020 to August 2021 with the aim of determining the prevalence of bovine hydatid cysts, assessing the related risk factors, and evaluating the organ level of distributions of the cysts. An antemortem examination and postmortem examination were performed as usual on all 220 chosen slaughtered cattle. We evaluated the organs of systemically selected cattle through visual inspection and palpation. Of the total number inspected, 44 (20%) had one or more hydatid cysts in one or more of their organs. Both age and sex of the cattle were significantly associated with the prevalence of bovine hydatidosis (X 2 = 5.928; p = 0.015; and X 2 = 4.086; p = 0.043, respectively) among the risk factors evaluated. 44 (20%) of the 220 animals evaluated were positive for hydatidosis. In terms of organ distribution, the liver accounted for 27 (61.4%), the lung for 16 (36.3%), and the spleen for 1 (2.3%). 34 (55.8%) of the 62 cysts counted and characterized were found in the liver, 27 (53.6%) in the lung, and 1 (2.3%) in the spleen. 22 (35.5%) of the 62 cysts collected were calcified, and 31 (50%) were found to be fertile. Of the 31 fertile cysts discovered, 7 (22.6%) were found in the liver, 23 (74.2%) in the lungs, and 1 (2.3%) in the spleen. Hydatidosis is still one of the most critical diseases that need careful consideration for prevention and control measures in the East Welega Zone, even with the moderate level of infection currently detected. This is because there appears to be a socioeconomic environment that is conducive to the disease. Therefore, the installation of regulated, well-equipped abattoirs, public awareness campaigns, and stray dog control are crucial.

Uncertainty in tuberculosis clinical decision-making: An umbrella review with systematic methods and thematic analysis.

Tuberculosis is a major infectious disease worldwide, but currently available diagnostics have suboptimal accuracy, particularly in patients unable to expectorate, and are often unavailable at the point-of-care in resource-limited settings. Test/treatment decision are, therefore, often made on clinical grounds. We hypothesized that contextual factors beyond disease probability may influence clinical decisions about when to test and when to treat for tuberculosis. This umbrella review aimed to identify such factors, and to develop a framework for uncertainty in tuberculosis clinical decision-making. Systematic reviews were searched in seven databases (MEDLINE, CINAHL Complete, Embase, Scopus, Cochrane, PROSPERO, Epistemonikos) using predetermined search criteria. Findings were classified as barriers and facilitators for testing or treatment decisions, and thematically analysed based on a multi-level model of uncertainty in health care. We included 27 reviews. Study designs and primary aims were heterogeneous, with seven meta-analyses and three qualitative evidence syntheses. Facilitators for decisions to test included providers' advanced professional qualification and confidence in tests results, availability of automated diagnostics with quick turnaround times. Common barriers for requesting a diagnostic test included: poor provider tuberculosis knowledge, fear of acquiring tuberculosis through respiratory sampling, scarcity of healthcare resources, and complexity of specimen collection. Facilitators for empiric treatment included patients' young age, severe sickness, and test inaccessibility. Main barriers to treatment included communication obstacles, providers' high confidence in negative test results (irrespective of negative predictive value). Multiple sources of uncertainty were identified at the patient, provider, diagnostic test, and healthcare system levels. Complex determinants of uncertainty influenced decision-making. This could result in delayed or missed diagnosis and treatment opportunities. It is important to understand the variability associated with patient-provider clinical encounters and healthcare settings, clinicians' attitudes, and experiences, as well as diagnostic test characteristics, to improve clinical practices, and allow an impactful introduction of novel diagnostics.

Chinese expert consensus on imaging diagnosis of drug-resistant pulmonary tuberculosis.

Tuberculosis (TB) remains one of the major infectious diseases in the world with a high incidence rate. Drug-resistant tuberculosis (DR-TB) is a key and difficult challenge in the prevention and treatment of TB. Early, rapid, and accurate diagnosis of DR-TB is essential for selecting appropriate and personalized treatment and is an important means of reducing disease transmission and mortality. In recent years, imaging diagnosis of DR-TB has developed rapidly, but there is a lack of consistent understanding. To this end, the Infectious Disease Imaging Group, Infectious Disease Branch, Chinese Research Hospital Association; Infectious Diseases Group of Chinese Medical Association of Radiology; Digital Health Committee of China Association for the Promotion of Science and Technology Industrialization, and other organizations, formed a group of TB experts across China. The conglomerate then considered the Chinese and international diagnosis and treatment status of DR-TB, China's clinical practice, and evidence-based medicine on the methodological requirements of guidelines and standards. After repeated discussion, the expert consensus of imaging diagnosis of DR-PB was proposed. This consensus includes clinical diagnosis and classification of DR-TB, selection of etiology and imaging examination [mainly X-ray and computed tomography (CT)], imaging manifestations, diagnosis, and differential diagnosis. This expert consensus is expected to improve the understanding of the imaging changes of DR-TB, as a starting point for timely detection of suspected DR-TB patients, and can effectively improve the efficiency of clinical diagnosis and achieve the purpose of early diagnosis and treatment of DR-TB.

Visualizing in-field detection of HCV using a one-pot RT-RAA-CRISPR/Cas12a platform.

Hepatitis C, one of the major infectious diseases posing a serious threat to human health, contributes a significant disease burden to global public health governance. Low diagnostic rates are a major barrier to eliminating hepatitis C in resource-constrained countries. As a result, the development of rapid, accurate, ultra-sensitive, and user-friendly POCT assays is desperately needed to improve the diagnostic rate and control of HCV. Here, we present a Visual One-Pot RT-RAA-Cas12a (HCV-VOpRCas12a) platform, which performed RT-RAA and CRISPR-based detection in a single tube by physical separation, and low-cost, readily accessible hand warmers were used as incubators. A visualization device was built to achieve the visual readout. The LoD of the HCV-VOpRCas12a platform was as low as 100 copies per μL and only took about 15 min to achieve HCV-RNA diagnosis. In the validation of 101 clinical serum samples, the detection sensitivity and specificity of the visualization device were 95% and 100%. The VOpRCas12a platform holds enormous potential in achieving a global strategy to eliminate the public threat of HCV infection by 2030 and in the next generation of real-time molecular diagnostics.

Using paleopathology to provide a deep-time perspective that improves our understanding of one health challenges: Exploring urbanization

Abstract The question posed is how deep-time perspectives contribute to tackling contemporary One Health challenges, improving understanding and disease mitigation. Using evidence from the field of paleopathology, it is possible to explore this question and highlight key learning points from the past to focus the minds of those making healthcare policy decisions today. In previous centuries urbanization led to poorer health for a wide range of indicators, including life expectancy, sanitation and intestinal parasites, airway disorders such as maxillary sinusitis, metabolic diseases such as rickets, and even conditions resulting from clothing fashions such as bunions. Modern concerns regarding the quality of urban air and rivers show we have still to incorporate these lessons. When we consider major infectious diseases affecting past societies such as bubonic plague, tuberculosis and leprosy, interaction between humans and wild mammal reservoirs was key. Wild red squirrels in Britain today remain infected by the medieval strain of leprosy that affected people 1,500 years ago. It is clear that the One Health focus on the interaction between humans, animals and their environment is important. Eradicating zoonotic infectious diseases from humans but not these reservoirs leaves the door open to their spread back to people in the future.

Drawing on the Development Experiences of Infectious Disease Surveillance Systems Around the World.

High-quality infectious disease surveillance systems are foundational to infectious disease prevention and control. Current major infectious disease surveillance systems globally can be categorized as either indicator-based, which are more specific, or event-based, which are more timely. Modern surveillance systems commonly utilize multi-source data, strengthened information sharing, advanced technology, and improved early warning accuracy and sensitivity. International experience may provide valuable insights for China. China's existing infectious disease surveillance systems require urgent enhancements to monitor emerging infectious diseases and improve the integration and learning capabilities of early warning models. Methods such as establishing multi-stage surveillance systems, promoting cross-sectoral and cross-provincial data sharing, applying advanced technologies like artificial intelligence, and cultivating professional talent should be adopted to enhance the development of intelligent and multipoint-triggered infectious disease surveillance systems in China.

How did COVID-19 impact development assistance for health? - The trend for country-specific disbursement between 2015 and 2020.

This study aimed to examine the changes that took place between 2015-2019 and 2020 and reveal how the COVID-19 pandemic affected financial contributions from donors. We used the Creditor Reporting System database of the Organization for Economic Cooperation and Development to investigate donor disbursement. Focusing on the Group of Seven (G7) countries and the Bill and Melinda Gates Foundation (BMGF), we analyzed their development assistance for health (DAH) in 2020 and the change in their disbursement between 2015 and 2020. As a result, total disbursements for all sectors increased by 14% for the G7 and the BMGF. In 2020, there was an increase in DAH for the BMGF and the G7 except for the United States. The total disbursement amount for the "COVID-19" category by G7 countries and the BMGF was approximately USD 3 billion in 2020, which was 3 times larger than for Malaria, 8.5 times larger for Tuberculosis, and 60% smaller for STDs including HIV/AIDS for the same year. In 2020 as well, the United States, the United Kingdom, Japan, Italy, and Canada saw their disbursements decline for more than half of 26 sectors. In conclusion, the impact of COVID-19 was observed in the changes in DAH disbursement for three major infectious diseases and other sectors. To consistently address the health needs of low- and middle-income countries, it is important to perform a follow-up analysis of their COVID-19 disbursements and the influence of other DAH areas.

Revolutionizing vaccinology: The rise of mRNA vaccine

The public health sector has been greatly affected by the COVID-19 pandemic, and vaccines have become a crucial means of managing the virus. mRNA vaccines have gained prominence among the available vaccines due to their effectiveness and safety, marking a significant advancement in the field of biotechnology. Traditional vaccines have often resulted in severe symptoms and partial protection, while newer recombinant vaccines have significant drawbacks. In contrast, mRNA vaccines offer unprecedented cost-effectiveness, safety, and high efficacy per dose. The mRNA vaccines transport bioengineered mRNA to the human body, which translates into proteins that stimulate the immune response. However, there are some challenges associated with the development and production of mRNA vaccines, such as efficient delivery and maintaining the integrity of the mRNA molecule during storage and delivery. Despite these challenges, mRNA vaccines represent the future of vaccinology and the first line of defense against major infectious diseases. This paper explores the structure, mechanisms, immunology, and related areas of study concerning mRNA vaccines. The paper emphasizes the challenges in developing and producing mRNA vaccines and potential solutions to overcome these challenges.

Systematic Thinking on Psychological Crisis Intervention for Major Sudden Infectious Diseases — Taking the Sudden Outbreak of COVID-19 Pandemic as an Example

The sudden outbreak of COVID-19 pandemic has had a profound psychological impact on the population, necessitating a more scientifically oriented role for psychological crisis intervention within the anti-pandemic system. Drawing upon the principles of system theory, including influence, growth, resources, cooperation, and openness, this paper elucidates the ideas and perspectives that should be embraced in order to enhance psychological crisis intervention during an pandemic situation like COVID-19. These insights aim to facilitate more effective implementation of such interventions.

The host protein CALCOCO2 interacts with bovine viral diarrhoea virus Npro, inhibiting type I interferon production and thereby promoting viral replication

ABSTRACT Bovine viral diarrhoea-mucosal disease caused by bovine viral diarrhoea virus (BVDV) is a major infectious disease that affects the cattle industry. The nonstructural protein Npro of BVDV antagonizes the type I interferon (IFN-I) pathway, thereby escaping the host immune response. The exact mechanism by which Npro uses host proteins to inhibit IFN-I production is unclear. The host protein CALCOCO2 was identified as a binding partner of Npro using a yeast two-hybrid screen. The interaction between Npro and CALCOCO2 was confirmed by yeast co-transformation, co-immunoprecipitation assays, and GST pull-down assays. The stable overexpression of CALCOCO2 markedly promoted BVDV propagation, while the knockdown of CALCOCO2 significantly inhibited BVDV replication in MDBK cells. Interestingly, CALCOCO2 inhibited IFN-I and IFN-stimulated gene production in BVDV-infected cells. Ectopic expression of CALCOCO2 effectively reduced IRF3 protein levels via the proteasome pathway. CALCOCO2 was found to promote Npro-mediated ubiquitination degradation of IRF3 by interacting with IRF3. Our results demonstrate the molecular mechanism by which Npro recruits the CALCOCO2 protein to regulate IRF3 degradation to inhibit IFN-I production.

COVID-19 and tuberculosis coinfection: A case-control study from a tertiary care center in South India.

Coronavirus disease 2019 (COVID-19) and tuberculosis (TB), are presently the major infectious diseases imposing a consequential public health threat and their coinfection has a significant impact on the outcome. To evaluate the clinical features and outcomes of COVID-19-TB coinfected cases compared to solely COVID-19-infected cases. A retrospective observational study was conducted between August 1, 2020, to February 28, 2022, at a tertiary care hospital. In this case-control study, an equal number of gender-age-matched COVID-19 and TB coinfected patients and COVID-19 cases without TB were included using simple random sampling. The data was analyzed using SPSS v 26. Categorical variables were compared using the Chi-square test, and an independent t-test or Mann-Whitney U test was applied for the quantitative variables in the univariate analysis. A P-value of less than 0.05 was considered significant. A total of 27 patients were included in each group. Upper lobe involvement (44%) and pleural effusion (22%) were significantly more common in TB-COVID-19 cases when compared to the control group (7% and 4%, respectively; P < 0.05). Moreover, median levels of C-reactive protein and ferritin were significantly higher in TB-COVID-19 coinfection. Chest radiology and a higher level of certain biomarkers like C-reactive protein and ferritin can help to suspect TB in COVID-19 patients and vice-versa.

GRASSERIE - A BACULOVIRUS DISEASE OF THE SILKWORM BOMBYX MORI L.

Grasserie is a major infectious disease of silkworms caused by the Bombyx mori nuclear polyhedrosis virus. The virus belongs to the family Baculoviridae and is composed of a polyhedron with a single molecule of circular supercoiled double-stranded deoxyribose nucleic acid. The disease causes massive mortality (more than 60% of the total crop loss caused by different diseases), causing significant great crop loss to the sericulturists by reducing the cocoon crop and silk produce. There has been no effective solution for preventing and treating the disease. In the present review, the authors explore the subject in detail and inspire the researchers to search for molecular mechanisms of gene action and promote disease-resistant silkworm breeding.. KEYWORDS :Bombyx mori,,Baculoviridae, Disease resistance, Nuclear polyhedrosis virus, Polyhedron, Silkworm

COVID-19 and Reproduction: An Experience from Wuhan

The history of human social development is also the history of human struggle against infectious diseases. Up to now, COVID-19 pandemic worldwide has not ended yet, but since the early stage of the epidemic, the public and scientists have been very concerned about the impact of the virus on fertility. Wuhan, China is the first city to be hit by the COVID-19 epidemic in China. More than 344 medical teams (totaling 42000 medical team members) from other provinces in China concentrated their efforts to rescued Wuhan at that time. Regarding maternal health, the government, medical institutions, and experts strived to play their respective roles. They promptly announced the designated hospitals provide medical services for uninfected or suspected/infected pregnancy women; tried their best to ensure the demand and safety of medical treatment for pregnant and postpartum women; actively conducted scientific research on pregnant women and health status of offspring. Looking back on COVID-19 epidemic prevention and control in the past few years, we have gained a lot of experience and lessons. For example, all of us should strengthen the connections between various departments of the country, improve urban governance in response to major infectious diseases, accelerate the development of science and technology as well as enhance international cooperation. In the future, we will continue to coexist with pathogenic microorganisms on this Earth. Hope every battle against infectious diseases can promote us to have a deeper understanding of nature, technology, and social development, and accumulate more experience to support survivors live a better life.

Analysis of Prevention, Detection, and Response Measures of Major Infectious Diseases by Modern Chinese Seaport Quarantine Institutions: A Case Study of Modern Tianjin Seaport Quarantine

During the late Qing Dynasty, Tianjin Customs gradually established the seaport quarantine system to prevent the spread of epidemics from Japan, Hong Kong, and the Northeast. The major infectious diseases inspected by the quarantine institution of Tianjin Port include cholera, plague, smallpox, typhus and yellow fever, of which cholera is the most frequent and influential infectious disease in modern Tianjin, followed by plague and smallpox, and no large-scale epidemics of typhus and yellow fever have been found.In the process of preventing the spreading of foreign infectious diseases, the quarantine institution of Tianjin Port has gradually developing. A set of business system has been established, which is based on ship inspection and takes preventive injection, rat flea research and disease diagnosis and treatment as the core.In conclusion,the seaport quarantine institutions in Tianjin played an active role in the prevention, detection, and response to major infectious diseases ,opened up a precedent for Chinese people to independently handle border health quarantine.Its historical practice and quarantine mode are a window for understanding the development history of quarantine infectious diseases in modern China, which has very important reference value.

Clinical Spectrum of Dengue in a Tertiary Care Hospital of Northern Bangladesh

Background: Dengue is an emerging major infectious disease which causes frequent outbreaks affecting millions. The complex interplay between virus serotype, host immune response and environmental factor set a series of changes in dengue presentation over the years. Materials and method: This was a cross-sectional, observational study conducted on 100 diagnosed dengue patients attending a tertiary teaching hospital. The study participants were divided into severe and non-severe categories and compared in terms of their symptoms, severity and lab findings. Statistical analysis was done using SPSS. Result: Majority of the study participants were younger. Female participants were more than male. Apart from fever, headache was found to be the commonest symptom in general. Epistaxis and melaena were significantly higher among severe group than non-severe peers. Gastrointestinal symptoms were frequently present among both groups. Conclusion: Most of the cases of dengue patient didn’t suffer from life threatening infection but when the infection is severe, bleeding manifestation can be a predictor of the onset of critical illness. J Bangladesh Coll Phys Surg 2023; 41: 34-38

Deep reinforcement learning based medical supplies dispatching model for major infectious diseases: Case study of COVID-19

Stockpiling and scheduling plans for medical supplies represent essential preventive and control measures in major public health events. In the face of major infectious diseases, such as the novel coronavirus disease (COVID-19), the outbreak trend and variability of disease strains are often unpredictable. Hence, it is necessary to optimally adjust the prevention and control dispatching strategy according to the circumstances and outbreak locations to maintain economic development while ensuring the human health survival, however, many models in this scenario seldom consider the dynamic material prediction and the measurement of multiple costs at the same time. Taking the COVID-19 scenario as a case study, we establish a deep reinforcement learning (DRL)-based medical supplies dispatching (MSD) model for major infectious diseases, considering the volatility of the COVID-19 situation and the discrepancy between medical material demand and supply due to the high infectiousness of the Omicron series strains. The present model has three main components: 1) First, for the dynamic medical material prediction problem in complex infectious disease scenarios, taking the lifted COVID-19 lockdown scenario as an example, the modified susceptible-exposed-infected-recovered (SEIR) model was utilized to analyze the spread of the COVID-19, understand its characteristics, and map out the related medical supplies demand; 2) Second, to break away from the previous premise of only considering supply-demand, this study adds scheduling rules and cost function that weighs health and economic costs. An epidemic dispatching optimization model (Epi_DispatchOptim) was established using the OpenAI Gym toolkit to form an environment structure with virus transmission space, and emergency MSD while considering both human health and economic costs. This architecture interprets the balance between the supply-demand of medical supplies and reflects the importance of MSD in the balanced development of health and economy under the spread of infectious diseases; 3) Finally, the MSD strategy under the balance of health and economic cost is explored in Epi_DispatchOptim using reinforcement learning (RL) and the evolutionary algorithm (EA). Experiments conducted on two datasets indicate that the RL and EA reduce economic as well as health costs compared to the original environmental strategies. The above study illustrates how to use epidemiological models to predict the demand for healthcare supplies as the premise of scheduling models, and use Epi_DispatchOptim to explore the dynamic MSD decisions under mortality and economic equilibrium. In Shanghai, China, the economic cost of the exploration strategy is reduced by 27.36–27.07B compared to static scheduling, and deaths are reduced by 126–150 in 150 day compared to the no-intervention scenario. By integrating knowledge of epidemiology, optimal decision making, and economics, Epi_DispatchOptim further constructs epidemiological models, cost functions, state-action spaces, and other modules to assist public health decision makers in adopting appropriate MSD strategies for major public health event.

The Antibacterial Properties of Polish Honey against Streptococcus mutans-A Causative Agent of Dental Caries.

Streptococcus mutans is considered the main pathogen responsible for dental caries, one of the major infectious diseases, affecting more than 4 billion people worldwide. Honey is a natural product with well-known antibacterial potential against several human pathogens. The aim of the study was to evaluate the antibacterial efficacy of Polish honey against S. mutans and analyze the role of some bioactive substances on its antibacterial action. The antibacterial potential of different honey varieties (goldenrod, buckwheat, honeydew, and lime) was analyzed using a microdilution assay. Manuka and artificial honey were used as controls. The content of GOX, hydrogen peroxide, total polyphenols, and antioxidant potential was assayed in honey. The influence of catalase and proteinase K on antibacterial activity as well as antibiofilm action was also determined. The strongest antibacterial activity was observed for buckwheat, honeydew, and manuka honey, which were also characterized by the highest antioxidant activity and polyphenols content. Catalase treatment decreases the antibacterial activity of honey, while proteinase K treatment influences the antibacterial potential of honey slightly less. Obtained results suggest that honey can be a good natural product against S. mutans, and hydrogen peroxide was identified as a crucial contributor to its antimicrobial action.