Control Of Infectious Diseases Research Articles

Combined 3D-QSAR, molecular docking, ADMET, and drug-likeness scoring of novel diaminodihydrotriazines as potential antimalarial agents

Plasmodium falciparum dihydrofolate reductase (PfDHFR) is a promising therapeutic target for antimalarial interventions. Diaminodihydrotriazine derivatives have demonstrated their efficacy as antimalarial agents by targeting PfDHFR inhibition. In this study, we used a multifaceted approach including 3D-QSAR, in silico pharmacokinetic/ADMET evaluation, molecular docking techniques, and molecular dynamics simulation to explore a series of diaminodihydrotriazine compounds, to identify new antimalarial drug candidates featuring the diaminodihydrotriazine scaffold. Using comparative molecular similarity indices analysis (CoMSIA), we built a robust 3D-QSAR model exhibiting favorable statistical parameters, with Q2 and R2 values of 0.553 and 0.981, respectively. External validation using a test set yielded an R2pre value of 0.787, confirming the model's predictive ability. In addition, we performed comprehensive ADMET and drug similarity profile analyses for potent designed compounds, yielding promising results. Molecular docking studies further complemented our investigation facilitating the elucidation of optimal interaction modes between these inhibitors and their target receptor. Additionally, molecular dynamics simulation was conducted for the promising compound 8a. This study not only provides valuable insights into the design of new antimalarial agents but also highlights the importance of computational methods for accelerating drug discovery processes, particularly in the context of infectious disease control.

Spatiotemporal dynamics of cholera hotspots in the Democratic Republic of the Congo from 1973 to 2022

Background Since the early 1970s, cholera outbreaks have been a major public health burden in the Democratic Republic of Congo (DRC). Cholera cases have been reported in a quasi-continuous manner in certain lakeside areas in the Great Lakes Region. As these cholera-endemic health zones constitute a starting point for outbreaks and diffusion towards other at-risk areas, they play a major role in cholera dynamics in the country. Monitoring the spatiotemporal dynamics of cholera hotspots and adjusting interventions accordingly thus reduces the disease burden in an efficient and cost-effective manner.Methods A literature review was conducted to describe the spatiotemporal dynamics of cholera in the DRC at the province level from 1973 to 1999. We then identified and classified cholera hotspots at the provincial and health zone levels from 2003 to 2022 and described the spatiotemporal evolution of hotspots. We also applied and compared three different classification methods to ensure that cholera hotspots are identified and classified according to the DRC context.ResultsAccording to all three methods, high-priority hotspots were concentrated in the eastern Great Lakes Region. Overall, hotspots largely remained unchanged over the course of the study period, although slight improvements were observed in some eastern hotspots, while other non-endemic areas in the west experienced an increase in cholera outbreaks. The Global Task Force on Cholera Control (GTFCC) and the Department of Ecology and Infectious Disease Control (DEIDC) methods largely yielded similar results for the high-risk hotspots. However, the medium-priority hotspots identified by the GTFCC method were further sub-classified by the DEIDC method, thereby providing a more detailed ranking for priority targeting.ConclusionsOverall, the findings of this comprehensive study shed light on the dynamics of cholera hotspots in the DRC from 1973 to 2022. These results may serve as an evidence-based foundation for public health officials and policymakers to improve the implementation of the Multisectoral Cholera Elimination Plan, guiding targeted interventions and resource allocation to mitigate the impact of cholera in vulnerable communities.

A comparative study of population management approaches in infectious disease control, population management of fisheries and wildlife, and integrated pest management in agriculture

AbstractThis paper provides a comprehensive study on the similarities and differences between infectious disease control in public health and various population management approaches, including fisheries resource management, wildlife management, and integrated pest management in agriculture. We aim to identify key strategies, and potential synergies that can contribute to the development of population management strategies within these domains. For example, scientists provide options but leave policy making itself to stakeholders, choose monitoring indicators with as little time lag or change thresholds between increasing and decreasing phases to account for time lag, consider economic feasibility, and clarify accountability, which are common to all fields. There are many elements to incorporate methods from other fields while making use of the accumulation gained in each field.

Evaluation and associated factors of public health emergency management among medical college students in a city in Southwest China: a cross-sectional study

BackgroundColleges and universities face an increased risk of public health emergencies. Among them, medical colleges and universities deserve more attention as they serve as the play a fundamental role in providing public health emergency services and in cultivating medical professionals. Effectively managing infectious disease prevention and control, as well as responding to public health emergencies in medical colleges and universities, is of great importance for enhancing the capacity of social emergency governance and improving the completeness of the public health system. This study aims to understand the management of public health emergencies in medical colleges in a city in southwest China, explore the factors associated with medical college students’ evaluations, and provide recommendations for emergency management mechanisms in colleges and universities.MethodsIn total, 781 medical college students were selected through stratified random sampling and surveyed using a questionnaire. The main factors affecting students’ evaluation of emergency management were analyzed using multiple linear regression and structural equation modeling.ResultsThe overall emergency management situation in medical colleges was relatively complete, with satisfactory results. Medical college students’ satisfaction with the timeliness of prevention measures was the highest, while the publicity and education were the lowest. Multiple linear regression analysis showed that grades, emergency education, -simulation training, -information reporting, and dynamic adjustment measures were associated with the evaluation of emergency management by medical students.ConclusionsAlthough the evaluation of emergency management in medical colleges was generally positive, certain limitations still existed. To improve the development of the public health system, colleges and universities should constantly reform and innovate emergency management mechanisms according to the important links in the prevention and control processes.

Agendas on Nursing in South Korea Media: Natural Language Processing and Network Analysis of News From 2005 to 2022.

In recent years, Korean society has increasingly recognized the importance of nurses in the context of population aging and infectious disease control. However, nurses still face difficulties with regard to policy activities that are aimed at improving the nursing workforce structure and working environment. Media coverage plays an important role in public awareness of a particular issue and can be an important strategy in policy activities. This study analyzed data from 18 years of news coverage on nursing-related issues. The focus of this study was to examine the drivers of the social, local, economic, and political agendas that were emphasized in the media by the analysis of main sources and their quotes. This analysis revealed which nursing media agendas were emphasized (eg, social aspects), neglected (eg, policy aspects), and negotiated. Descriptive analysis, natural language processing, and semantic network analysis were applied to analyze data collected from 2005 to 2022. BigKinds were used for the collection of data, automatic multi-categorization of news, named entity recognition of news sources, and extraction and topic modeling of quotes. The main news sources were identified by conducting a 1-mode network analysis with SNAnalyzer. The main agendas of nursing-related news coverage were examined through the qualitative analysis of major sources' quotes by section. The common and individual interests of the top-ranked sources were analyzed through a 2-mode network analysis using UCINET. In total, 128,339 articles from 54 media outlets on nursing-related issues were analyzed. Descriptive analysis showed that nursing-related news was mainly covered in social (99,868/128,339, 77.82%) and local (48,056/128,339, 48.56%) sections, whereas it was rarely covered in economic (9439/128,339, 7.35%) and political (7301/128,339, 5.69%) sections. Furthermore, 445 sources that had made the top 20 list at least once by year and section were analyzed. Other than "nurse," the main sources for each section were "labor union," "local resident," "government," and "Moon Jae-in." "Nursing Bill" emerged as a common interest among nurses and doctors, although the topic did not garner considerable attention from the Ministry of Health and Welfare. Analyzing quotes showed that nurses were portrayed as heroes, laborers, survivors of abuse, and perpetrators. The economic section focused on employment of youth and women in nursing. In the political section, conflicts between nurses and doctors, which may have caused policy confusion, were highlighted. Policy formulation processes were not adequately reported. Media coverage of the enactment of nursing laws tended to relate to confrontations between political parties. The media plays a crucial role in highlighting various aspects of nursing practice. However, policy formulation processes to solve nursing issues were not adequately reported in South Korea. This study suggests that nurses should secure policy compliance by persuading the public to understand their professional perspectives.

Comparative analysis of chlorine-resistant bacteria after chlorination and chloramination in drinking water treatment plants

Chlorine-resistant bacteria (CRB) in drinking water treatment plants (DWTPs) jeopardize water quality and pose a potential risk to human health. However, the specific response of CRB to chlorination and chloramination remains uncharacterized. Therefore, we analyzed 16 S rRNA sequencing data from water samples before and after chlorination and chloramination taken between January and December 2020. Proteobacteria and Firmicutes dominated all finished water samples. After chloramination, Acinetobacter, Pseudomonas, Methylobacterium, Ralstonia, and Sphingomonas were the dominant CRB, whereas Ralstonia, Bacillus, Acinetobacter, Pseudomonas, and Enterococcus were prevalent after chlorination. Over 75% of the CRB e.g. Acinetobacter, Pseudomonas, Bacillus, and Enterococcus were shared between the chlorination and chloramination, involving potentially pathogens, such as Acinetobacter baumannii and Pseudomonas aeruginosa. Notably, certain genera such as Faecalibacterium, Geobacter, and Megasphaera were enriched as strong CRB after chloramination, whereas Vogesella, Flavobacterium, Thalassolituus, Pseudoalteromonas, and others were enriched after chlorination according to LEfSe analysis. The shared CRB correlated with temperature, pH, and turbidity, displaying a seasonal pattern with varying sensitivity to chlorination and chloramination in cold and warm seasons. These findings enhance our knowledge of the drinking water microbiome and microbial health risks, thus enabling better infectious disease control through enhanced disinfection strategies in DWTPs.

Incorporating social vulnerability in infectious disease mathematical modelling: a scoping review

BackgroundHighlighted by the rise of COVID-19, climate change, and conflict, socially vulnerable populations are least resilient to disaster. In infectious disease management, mathematical models are a commonly used tool. Researchers should include social vulnerability in models to strengthen their utility in reflecting real-world dynamics. We conducted a scoping review to evaluate how researchers have incorporated social vulnerability into infectious disease mathematical models.MethodsThe methodology followed the Joanna Briggs Institute and updated Arksey and O'Malley frameworks, verified by the PRISMA-ScR checklist. PubMed, Clarivate Web of Science, Scopus, EBSCO Africa Wide Information, and Cochrane Library were systematically searched for peer-reviewed published articles. Screening and extracting data were done by two independent researchers.ResultsOf 4075 results, 89 articles were identified. Two-thirds of articles used a compartmental model (n = 58, 65.2%), with a quarter using agent-based models (n = 24, 27.0%). Overall, routine indicators, namely age and sex, were among the most frequently used measures (n = 42, 12.3%; n = 22, 6.4%, respectively). Only one measure related to culture and social behaviour (0.3%). For compartmental models, researchers commonly constructed distinct models for each level of a social vulnerability measure and included new parameters or influenced standard parameters in model equations (n = 30, 51.7%). For all agent-based models, characteristics were assigned to hosts (n = 24, 100.0%), with most models including age, contact behaviour, and/or sex (n = 18, 75.0%; n = 14, 53.3%; n = 10, 41.7%, respectively).ConclusionsGiven the importance of equitable and effective infectious disease management, there is potential to further the field. Our findings demonstrate that social vulnerability is not considered holistically. There is a focus on incorporating routine demographic indicators but important cultural and social behaviours that impact health outcomes are excluded. It is crucial to develop models that foreground social vulnerability to not only design more equitable interventions, but also to develop more effective infectious disease control and elimination strategies. Furthermore, this study revealed the lack of transparency around data sources, inconsistent reporting, lack of collaboration with local experts, and limited studies focused on modelling cultural indicators. These challenges are priorities for future research.

Etiology and epizootology of bovine mastitis (analytical review)

Mastitis is one of the most common global diseases of dairy cattle, it is detected in 5–36% animals in a herd undergoing a single examination, and the incidence reaches 68% within a year, given that some cows get reinfected more than once. The disease causes significant economic losses to dairy industry both in the Russian Federation and globally. Mastitis is an inflammation of the mammary gland that develops in response to the effects of various factors of the external and internal environment, which are classified as mechanical, physical, biological, etc. Based on the clinical symptoms, the disease has two forms: clinical and subclinical. Both the animal and its milk shall be subjected to a thorough examination for the diagnosis establishment. The final stage of the mastitis diagnosis in cows is laboratory testing. In this case, the most informative is the bacteriological method, which helps to isolate a pathogen’s pure culture, identify it and determine sensitivity to antimicrobial drugs. The latter plays a specific role in indicating the direction of further therapeutic measures, since the obtained data facilitate selection of effective antibiotics against certain pathogens. Incorrect treatment, incompliances with the prescribed therapy, as well as unnecessary use of antimicrobials can lead to the generation of multi-resistant bacteria. Due to the widespread spread of antibiotic-resistant microorganism strains, despite the large number of drugs currently used, their effectiveness is constantly decreasing. The prospects for the further use of antibiotics as therapeutics are questioned by many researchers and international organizations due to antibiotic resistance rapidly developing in many agents. Vaccination plays a significant role in infectious disease control. The use of vaccines not only reduces mastitis occurrence in cows, but also significantly improves the quality of dairy products.

Mapping the urban and rural planning response paths to pandemics of infectious diseases

Modern urban and rural planning has a long history in terms of epidemics. However, contemporary urban and rural planning lacks a comprehensive response map for the prevention and control of infectious diseases. As the process of comprehensive policies making for social issues, a bridge between urban and rural development and the prevention and control of infectious diseases must be established. This research sorts out the academic literature that studies the relationship and logic between epidemic infectious diseases and urban and rural physical environments. This research constructed links between issues of urban and rural planning and the means of prevention and control of epidemic infectious diseases, and drew them to form a comprehensive map which illustrates the logic paths between 12 issues of urban and rural planning and intricate factors of epidemic infectious diseases. The atlas provided in this study shows that planners could have a simplified, without missing key points, way to make, examine, and evaluate planning strategies from limited perspectives such as pathogen exposure opportunities, pathogen resistance, hosts, travel, and trade, when addressing pandemic issues.

Evaluation of a Combined Live Attenuated Vaccine against Lumpy Skin Disease, Contagious Bovine Pleuropneumonia and Rift Valley Fever.

The use of effective vaccines is among the most important strategies for the prevention and progressive control of transboundary infectious animal diseases. However, the use of vaccine is often impeded by the cost, a lack of cold chains and other factors. In resource-limited countries in Africa, one approach to improve coverage and reduce cost is to vaccinate against multiple diseases using combined vaccines. Therefore, the objective of this study was to evaluate a combined vaccine for the prevention and control of Lumpy Skin Disease (LSD), Contagious Bovine Pleuropneumonia (CBPP) and Rift Valley fever (RVF). The LSD and CBPP were formulated as a combined vaccine, and the RVF was formulated separately as live attenuated vaccines. These consisted of a Mycoplasma MmmSC T1/44 strain that was propagated in Hayflick-modified medium, RVF virus vaccine, C13T strain prepared in African green monkey cells (Vero), and the LSDV Neethling vaccine strain prepared in primary testis cells. The vaccines were tested for safety via the subcutaneous route in both young calves and pregnant heifers with no side effect, abortion or teratogenicity. The vaccination of calves induced seroconversions for all three vaccines starting from day 7 post-vaccination (PV), with rates of 50% for LSD, 70% for CBPP and 100% for RVF, or rates similar to those obtained with monovalent vaccines. The challenge of cattle vaccinated with the LSD/CBPP and the RVF vaccine afforded full protection against virulent strains of LSDV and RVFV. A satisfactory level of protection against a CBPP challenge was observed, with 50% of protection at 6 months and 81% at 13 months PV. A mass vaccination trial was performed in four regions of Burkina Faso that confirmed safety and specific antibody responses induced by the vaccines. The multivalent LSD/CBPP+RVF vaccine provides a novel and beneficial approach to the control of the three diseases through one intervention and, therefore, reduces the cost and improves vaccination coverage.

A mathematical model to assess the effectiveness of test-trace-isolate-and-quarantine under limited capacities.

Diagnostic testing followed by isolation of identified cases with subsequent tracing and quarantine of close contacts-often referred to as test-trace-isolate-and-quarantine (TTIQ) strategy-is one of the cornerstone measures of infectious disease control. The COVID-19 pandemic has highlighted that an appropriate response to outbreaks of infectious diseases requires a firm understanding of the effectiveness of such containment strategies. To this end, mathematical models provide a promising tool. In this work, we present a delay differential equation model of TTIQ interventions for infectious disease control. Our model incorporates the assumption of limited TTIQ capacities, providing insights into the reduced effectiveness of testing and tracing in high prevalence scenarios. In addition, we account for potential transmission during the early phase of an infection, including presymptomatic transmission, which may be particularly adverse to a TTIQ based control. Our numerical experiments inspired by the early spread of COVID-19 in Germany demonstrate the effectiveness of TTIQ in a scenario where immunity within the population is low and pharmaceutical interventions are absent, which is representative of a typical situation during the (re-)emergence of infectious diseases for which therapeutic drugs or vaccines are not yet available. Stability and sensitivity analyses reveal both disease-dependent and disease-independent factors that impede or enhance the success of TTIQ. Studying the diminishing impact of TTIQ along simulations of an epidemic wave, we highlight consequences for intervention strategies.

The effect of artificial light at night (ALAN) on the characteristics of diapause of Aedes albopictus

BackgroundRecently, the effect of artificial light at night (ALAN) on the physiology and behavior of insects has gradually attracted the attention of researchers and has become a new research topic. Aedes albopictus is an important vector that poses a great public health risk. Further studies on the diapause of Ae. albopictus can provide a basis for new vector control, and it is also worth exploring whether the effect of ALAN on the diapause of Ae. albopictus will provide a reference for the prevention and control of infectious diseases mediated by Ae. albopictus. MethodsIn this study, we experimentally studied the diapause characteristics of different geographical strains of Ae. albopictus under the interference of ALAN, explored the effect of ALAN on the diapause of Ae. albopictus and explored the molecular mechanism of ALAN on the diapause process through RNA-seq. ResultsAs seen from the diapause incidence, Ae. albopictus of the same geographic strain showed a lower diapause incidence when exposed to ALAN. The differentially expressed genes (DEGs) were mainly enriched in signaling and metabolism-related pathways in the parental females and diapause eggs of the ALAN group. ConclusionsALAN inhibits Ae. albopictus diapause. In the short photoperiod induced diapause of Ae. albopictus in temperate strain Beijing and subtropical strain Guangzhou, the disturbance of ALAN reduced the egg diapause rate and increased the egg hatching rate of Ae. albopictus, and the disturbance of ALAN also shortened the life cycle of Ae. albopictus eggs after hatching.

Enhanced Machine Learning-based Diagnostic Model for Lassa Fever

The research presents a machine learning-based model for the diagnosis of Lassa fever. The development of the ML Model involves the collection of the Lassa fever dataset from the Infectious Diseases Control Centre of the Federal Medical Centre, Owo Ondo state, it was preprocessed and Five machine learning algorithms namely Naïve Bayes (NB), Artificial Neural Network (ANN), Support Vector Machine (SVM), k-Nearest Neighbour (k-NN) and Decision Tree were trained and tested using 10-fold cross-validation technique and evaluated using standard metrics. Four of the classifiers had an accuracy of 90% and above while k-Nearest Neighbour had the lowest accuracy of 87.7%. Naïve Bayes and Support Vector Machine performed well with an accuracy of 93.2% and Precision of 97.0%. The AUC measure for the NB and SVM algorithm was calculated to be 92.9 %. The Diagnostic Accuracy (DA) of the Existing Method (EM) calculated using standard metrics and evaluated through simple statistical techniques was 61.1%. The Machine Learning (ML) models performed better and more effectively in aiding the diagnosis of Lassa fever cases than the EM as determined from the dataset. The recommended ML model also has the potential to improve Medical diagnosis and eliminate the cumbersome, time-consuming and costly nature of manual monitoring of Lassa suspects in the current practice and can serve as a basis for further investigation/implementation of ML applications in the diagnosis of other similar diseases.

How do infectious diseases affect high-performance athletes? Norovirus during the Lima 2019 Pan American Games.

The incidence of infectious diseases among athletes during international competitions is a concern for public health. In this study, we aim to report six cases of norovirus-associated gastroenteritis among athletes in Lima 2019 Pan American Games, a multisport event held in Peru. During the Lima 2019 event, there were no reported outbreaks or cases of most frequent diseases, however, six cases (0.09%) of norovirus-associated gastroenteritis were reported. The clinical stage of the cases was self-limited to 2 days, and the main treatment was fluid replacement. Of the six affected athletes, five came from the United States and one from Chile. Only one karate athlete from the United States, could not continue with the competition due to the illness. The incidence of norovirus-associated gastroenteritis among athletes in Lima 2019 was low, and the clinical course of the illness was self-limited. We conducted a retrospective analysis of medical records of athletes who presented with gastroenteritis using the Panam Sport In previous sporting events, such as the 2017 World Athletics Championships in London, Injury and Illness Surveillance System. These findings can inform the development of public health strategies for the prevention and control of infectious diseases among athletes during international competitions.

Digital microfluidics methods for nucleic acid detection: A mini review.

Many serious infectious diseases have occurred throughout human history. Rapid and accurate detection as well as the isolation of infected individuals, through nucleic acid testing, are effective means of containing the spread of these viruses. However, traditional nucleic acid testing methods rely on complex machines and specialized personnel, making it difficult to achieve large-scale, high-throughput, and rapid detection. In recent years, digital microfluidics has emerged as a promising technology that integrates various fields, including electrokinetics, acoustics, optics, magnetism, and mechanics. By leveraging the advantages of these different technologies, digital microfluidic chips offer several benefits, such as high detection throughput, integration of multiple functions, low reagent consumption, and portability. This rapid and efficient testing is crucial in the timely detection and isolation of infected individuals to prevent the virus spread. Another advantage is the low reagent consumption of digital microfluidic chips. Compared to traditional methods, these chips require smaller volumes of reagents, resulting in cost savings and reduced waste. Furthermore, digital microfluidic chips are portable and can be easily integrated into point-of-care testing devices. This enables testing to be conducted in remote or resource-limited areas, where access to complex laboratory equipment may be limited. Onsite testing reduces the time and cost associated with sample transportation. In conclusion, bioassay technologies based on digital microfluidic principles have the potential to significantly improve infectious disease detection and control. By enabling rapid, high-throughput, and portable testing, these technologies enhance our ability to contain the spread of infectious diseases and effectively manage public health outbreaks.

Improving Emerging Infectious Disease Control Based on the Experiences of South Korean Nurses During the COVID-19 Pandemic: A Qualitative Systematic Review

Purpose: This qualitative systematic review explored infection control by analyzing studies involving South Korean nurses who cared for patients with coronavirus disease 2019 (COVID-19). Considering the social and cultural differences between countries, it is necessary to understand the experiences of nurses in specific countries.Methods: Articles published between January 2020 (the onset of the COVID-19 pandemic) and April 2022 were considered by searching six electronic databases. Thirteen articles were included based on specific inclusion/ exclusion criteria. Results: Through a thematic synthesis, six themes reflecting barriers to ensuring quality patient care during an emerging infectious disease situation were identified: lack of information and education about emerging infectious diseases, limitations in nursing infrastructure and system, physical stress owing to excessive nursing workload, mental stress owing to extreme anxiety about an infection, skepticism due to inadequate compensation, and ethical dilemma. Themes 1~4, which South Korean nurses experienced, were similar to the experiences of nurses in other countries. Themes 5 and 6 reflect experiences specific to nurses in South Korea.Conclusion: To improve infection control against new infectious diseases, it is necessary to understand not only the similar experiences of nurses in all countries, but also experiences that are specific to each country’s cultural and social characteristics. Thus, a distinct policy approach is needed for each country in order to improve infection control measures.

Epidemic trends and prevention and control of seasonal influenza in China after the COVID-19 pandemic

During the COVID-19 pandemic, a series of non-pharmaceutical interventions, which were implemented to curb the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), significantly modified the seasonal pattern of influenza. The intensity of influenza activity markedly decreased and B/Yamagata lineage was no longer detected. As the national influenza sentinel surveillance data shown, clear seasonal patterns were observed for influenza between 2012-2019, annually with an average of 14.57% of specimens tested positive for influenza virus. However, the seasonal pattern of influenza was disrupted after the outbreak of COVID-19. In the 2020-2021 season, influenza demonstrated an extremely low activity (yearly positivity rate<1.0%), followed by a resurgence of winter peak in the 2021-2022 season. Following the downgrade of management of COVID-19 to Class B in China in December 26, 2022, social activities gradually resumed, leading to the rebound of influenza activity with an out-of-season ciculation. After COVID-19 pademic, other respiratory infectious diseases caused by SARS-CoV-2, respiratory syncytial virus, and mycoplasma pneumonia were alternatively or concurrently circulated with influenza. The prevention and control of influenza and other respiratory infectious diseases emphasizes a multi-disease prevention strategy, including long-term and continuous monitoring the epidemic trends in influenza virus and SARS-CoV-2, promoting influenza and COVID-19 vaccination among key populations, and strengthening the knowledge and public awareness of prevention and control for respiratory infectious diseases, etc.

Understanding global research trends in the control and prevention of infectious diseases for children: Insights from text mining and topic modeling.

The emergence of novel infectious diseases has amplified the urgent need for effective prevention strategies, especially ones targeting vulnerable populations such as children. Factors such as the high incidence of both emerging and existing infectious diseases, delays in vaccinations, and routine exposure in communal settings heighten children's susceptibility to infections. Despite this pressing need, a comprehensive exploration of research trends in this domain remains lacking. This study aims to address this gap by employing text mining and modeling techniques to conduct a comprehensive analysis of the existing literature, thereby identifying emerging research trends in infectious disease prevention among children. A cross-sectional text mining approach was adopted, focusing on journal articles published between January 1, 2003, and August 31, 2022. These articles, related to infectious disease prevention in children, were sourced from databases such as PubMed, CINAHL, MEDLINE (Ovid), Scopus, and Korean RISS. The data underwent preprocessing using the Natural Language Toolkit (NLTK) in Python, with a semantic network analysis and topic modeling conducted using R software. The final dataset comprised 509 journal articles extracted from multiple databases. The study began with a word frequency analysis to pinpoint relevant themes, subsequently visualized through a word cloud. Dominant terms encompassed "vaccination," "adolescent," "infant," "parent," "family," "school," "country," "household," "community," "HIV," "HPV," "COVID-19," "influenza," and "diarrhea." The semantic analysis identified "age" as a key term across infection, control, and intervention discussions. Notably, the relationship between "hand" and "handwashing" was prominent, especially in educational contexts linked with "school" and "absence." Latent Dirichlet Allocation (LDA) topic modeling further delineated seven topics related to infectious disease prevention for children, encompassing (1) educational programs, (2) vaccination efforts, (3) family-level responses, (4) care for immunocompromised individuals, (5) country-specific responses, (6) school-based strategies, and (7) persistent threats from established infectious diseases. The study emphasizes the indispensable role of personalized interventions tailored for various child demographics, highlighting the pivotal contributions of both parental guidance and school participation. The study provides insights into the complex public health challenges associated with preventing and managing infectious diseases in children. The insights derived could inform the formulation of evidence-based public health policies, steering practical interventions and fostering interdisciplinary synergy for holistic prevention strategies.

Understanding public health nurses' experience, knowledge, and perception of bioterrorism training in Japan

Objectives Bioterrorism is a disease in which the attacks can be covert and latent, take time to manifest, and, when discovered, can result in large outbreaks. When detected, they can become large-scale outbreaks. Therefore, preparedness is essential for early detection and response for damage mitigation. Although public health nurses (PHNs) of public health centers are responsible for detecting and dealing with bioterrorism, their preparation status is not clear. Therefore, this study aimed to elucidate the status of training experience, knowledge, and awareness of bioterrorism among PHNs working in public health centers' infectious disease control departments in Japan's metropolitan areas.Methods This was a cross-sectional, descriptive study. The participants were PHNs in the infectious disease control departments of 88 public health centers in Tokyo and its three neighboring prefectures. This are densely populated metropolitan areas with many mass gathering events and a high probability of bioterrorism. An anonymous, self-administered questionnaire survey was conducted by mail in 2019. Two PHNs per location were surveyed regarding their attributes, training experience, knowledge, and perceptions.Results We received 71 responses (40.3%). A total of 10 (14.1%) PHNs reported having experience with bioterrorism training in the workplace. Regarding the knowledge of the four infectious diseases with a high probability of bioterrorism, more than 95% of the respondents answered they had heard of them. However, few were aware of related treatments or terrorist responses. Although survey respondents were aware of the seriousness of bioterrorism and the effectiveness of preparedness, they did not have sufficient opportunity or time to have training. They tended to be less confident in their response and were willing to have training.Conclusion PHNs who responded to this survey do not have sufficient training experience, knowledge, opportunities, and time for bioterrorism training, and establishing a training system to improve bioterrorism preparedness is a challenge. It will be necessary for PHN students to learn about the existence of bioterrorism. Further, PHNs in public health centers need to be trained at least once using online services, including brushing up on information as needed. Based on the lessons learned from the coronavirus disease 2019 pandemic, health centers will formulate a Health Crisis Management Plan. This will be effective in fiscal 2024, and we believe that it is essential that preparedness against bioterrorism be a part of this plan.

Preliminary Phytochemical, Antioxidative and Antibacterial Screening of Selected Medicinal Plants for Possible use in the Treatment of Bacterial Diseases

Development of cheap and reliable diagnostics is pivotal in the control of infectious diseases. Currently, one of the best strategies to tackle infectious disease is the use of natural products from plant origin, due to the perception that long term use of western medicine induces severe complications and also to stop the prevalence of antibacterial infection. This study aims at substantiating the traditional use of selected medicinal plants with antibacterial claim for possible lead for the development of more potent drugs in the treatment of bacterial infections. The preliminary phytochemical content, antioxidant and antibacterial potential of the selected medicinal plants were evaluated using standard procedures. Thirtheen plants were obtained through questionnaire administration: Garcinia kola, Costus afer, Vitellaria paradoxa, Pycnanthus angolensis, Cola acuminata Acanthospermum hipida, Aloe vera, Euadenia trifoliate, Microglossa abzelii, Moringa oleifera, Bryophyllum pinnatum, Baphia nitida and Afromonium melegueta. Thin layer chromatography (TLC) profiling of the various selected plants were carried out using two solvent system consisting of n-Hexane and ethyl acetate in varying ratio (8:2 and 7:3). Eight (8) plants, which showed good chromatographical profiling with the used solvent, were selected for further experiment (Garcinia kola, Vitellaria paradoxa, Acanthospermum hispidum, Aloe vera, Microglossa abzelii, Baphia nitida, Moringa oleifera and Bryophyllum pinnatum). These plants were subjected to qualitative phytochemistry and five plants (Moringa oleifera, Vitellaria paradoxa, Baphia nitida, Bryophyllum pinnatum and Garcinia kola) selected for quantitative phyto-screening for alkaloids, flavonoids, saponins and tannins. The antibacterial screening was carried out using Agar well diffusion and minimum inhibitory concentration (MIC) against the following isolate Staphylococcus aureus, Escherichia coli, Salmonella typhi and Bacillus subtilis. The antioxidant potential of the selected five plants were evaluated using in vitro (DPPH and FRAP) and the best plant was used for in vivo (SOD and MDA) analysis. The phytochemistry of the 13 plants revealed the presence or absence of Alkaloids, saponins, tannins, flavonoids, terpenoids, cardiac glycosides, carbohydrates and protein in the selected plants, and the best five were selected for quantitative evaluation showed they all have good quantity of alkaloids, flavonoids, saponins and tannins. The plants exhibited mild to strong antibacterial activities, having an MIC value ranging from 2.5 to &gt;20 µg/mL when compared to ciprofloxacin (control) that is 5µg/mL. The plants showed good free radical scavenging activities and efficient ferric reducing power in a concentration dependent manner and a good enzyme activity of the superoxide dismutase (SOD) at a concentration of 100 µ/mL with a reduction in malondialdehyde (MDA) production as a marker of lipid peroxidation. The various plants have potentials for development of drugs for the treatment of infectious diseases; and a potential for further evaluation of their antibacterial claim.