Spread Of Infectious Diseases Research Articles

Tracing wide-spread infectious contacts using GeoSpark in preventive medicine

A threat to governments and the medical community globally are infectious illness outbreaks such as COVID-19, Spanish flu, and Ebola, which kill millions of people. Furthermore, because people are afraid to go to their employment, infectious diseases hinder economic progress. Therefore, it is imperative to implement interventions to lessen the spread of infectious diseases. From this angle, the practice of tracking contacts might be viewed as a mitigation strategy to stop the spread of contagious diseases. As this is going on, users’ trace data sets are growing exponentially larger over time, making it difficult to conduct contact tracing queries over them. In this paper, a novel Spark contact-tracing query processing method is proposed. This method determines if users are suspected cases by analyzing their paths based on two variables: nearby social distance and exposure time. Additionally, the developed method makes full use of the Spark framework to address scalability issues and effectively respond to contact tracing inquiries over a wide range of trajectories.

Insights from multigene analysis: first report of a Southeast Asian Mosquito, Aedes (Mucidus) laniger (Diptera: Culicidae) on Jeju Island from Korea

BackgroundCertain mosquitoes are known as dominant vectors worldwide, and transmit infectious diseases. The expansion of mosquito habitats due to climate change and increased human activities poses a significant health threat by facilitating the spread of various non-native infectious diseases. This study focused on the detection of the Southeast Asian mosquito species, Aedes (Mucidus) laniger (Wiedemann, 1820) on Jeju Island, the southernmost region of the Republic of Korea (ROK), highlighting the potential risks associated with the spread of vector-borne diseases, particularly emphasizing the elevated likelihood of invasion by Southeast Asian mosquitoes.MethodsField surveys were conducted in August 2023 on Jeju Island. Adult mosquitoes were collected using BG-sentinel traps and identified to the species level using taxonomic keys. Morphological and molecular analyses were employed to confirm species designations. Molecular data, including mitochondrial and nuclear genes, were used for phylogenetic analysis, which was performed to compare and identify among recorded subgenera in ROK. Species distribution modeling for Ae. laniger was performed to predict potential habitats using R package ‘BIOMOD2’.ResultsThe two specimens of Ae. laniger were collected for the first time on Jeju Island. Morphological and molecular analyses confirmed the identity of this species within the subgenus Mucidus and validated the first record of this species in the ROK. We employed a simple multigene phylogenetic analysis to confirm a new mosquito record at the genus and subgenus levels, finally validating the consistency between morphological identification and molecular phylogenetic outcomes. Furthermore, we have updated the taxonomic keys for the genus Aedes in the ROK, and revised mosquito lists for Jeju Island, incorporating the inclusion of Ae. laniger. On the basis of species distribution modeling, the area of suitable habitat for Ae. laniger is expected to expand due to climate change, but this change did not appear to be meaningful in East Asia.ConclusionsThis case offers the first report of the Southeast Asian mosquito, Ae. laniger, in the ROK. The detection of this species on Jeju Island suggests the potential establishment of a breeding population their habitat and raises concerns about further expansion into the Korean Peninsula. Considering the annual occurrence of mosquito-borne disease cases in the Southeast Asia, it is essential to conduct monitoring not only in Jeju Island, where Ae. laniger has been identified, but also across the entire Korean Peninsula.Graphical

Cross-sectional study of the association of respiratory diseases health risk with environmental pollutants and climate change in Saudi Arabia.

Saudi Arabia is known for its dry climate. This arid climate of the region makes its ecosystems highly susceptible, with limited water resources and vulnerable agricultural fields. Therefore, it is crucial to comprehend the public's awareness and perceptions of environmental issues and climate change that have an impact on their health and immune system. This study employed a cross-sectional survey to examine the knowledge, attitudes, and practices (KAP) and related health impact of environmental pollutants and climate change in Saudi Arabia. The participants were chosen randomly from various regions across the kingdom. In this study, a total of 437 respondents were selected using convenience sampling (80.78% female and 19.22% male). Participants have fair knowledge on immunological and health effect of environmental pollution and climate change (94.3% and 87.5%, respectively). Participants are well aware of influence of environmental pollutants and climate change on spread of infectious diseases 51-94%. Significant correlation exists between participants of private sector in attitude domain of KAP (P = 0.003, χ2 = 5.139). Significant correlation exists between participants of private sector in attitude domain of KAP (P = 0.003, χ2 = 5.139. Participants are well aware of influence of environmental pollutants and climate change on spread of infectious diseases (51-94%). In conclusion, the health mission in Saudi Arabia has integrated order to manage the diseases that are related to climate change. It is crucial to enhance the knowledge and skills of general public regarding climate change and its impact on health.

Analysis of an Infectious Disease Vaccination Prediction System Based on the MF-Conv LSTM Model

Infectious diseases can seriously threaten people's life safety and have a serious impact on social stability. Therefore, it should improve society’s stability under infectious diseases and ensure the safety of people's lives. A personnel flow feature extraction model based on Multi-Feature Convolutional Long Short-Term Memory (MF-Conv LSTM) is designed based on the characteristics of human daily activity behavior. This can optimize the accuracy of transmission simulation prediction for infectious disease vaccination. When using multi-feature ensemble analysis to extract human daily activity features as input for infectious disease simulation and prediction models, the learner's prediction score for the recurrent infectious diseases reached 0.8705. When using multi-feature ensemble analysis, the predicted scores did not exceed 0.85. The designed infectious disease vaccine transmission prediction model can accurately simulate the infectious behavior of infectious diseases. This provides direction for developing strategies to disrupt the infectious diseases’ spread. This reduces the infectious diseases’ harm to people's personal safety and improves social stability during the spread of large-scale infectious diseases.

Yeast Surface-Displayed Quenchbody as a Novel Whole-Cell Biosensor for One-Step Detection of Influenza A (H1N1) Virus.

Timely surveillance of airborne pathogens is essential to preventing the spread of infectious diseases and safeguard human health. Methods for sensitive, efficient, and cost-effective detection of airborne viruses are needed. With advances in synthetic biology, whole-cell biosensors have emerged as promising platforms for environmental monitoring and medical diagnostics. However, the current design paradigm of whole-cell biosensors is mostly based on intracellular detection of analytes that can transport across the cell membrane, which presents a critical challenge for viral pathogens and large biomolecules. To address this challenge, we developed a new type of whole-cell biosensor by expressing and displaying VHH-based quenchbody (Q-body) on the surface of the yeast Saccharomyces cerevisiae for simple one-step detection of influenza A (H1N1) virus. Seventeen VHH antibody fragments targeting the hemagglutinin protein H1N1-HA were displayed on the yeast cells and screened for the H1N1-HA binding affinity. The functionally displayed VHHs were selected to create surface-displayed Q-body biosensors. The surface-displayed Q-body exhibiting the highest quenching and dequenching efficiency was identified. The biosensor quantitatively detected H1N1-HA in a range from 0.5 to 16 μg/mL, with a half-maximal concentration of 2.60 μg/mL. The biosensor exhibited high specificity for H1N1-HA over other hemagglutinin proteins from various influenza A virus subtypes. Moreover, the biosensor succeeded in detecting the H1N1 virus at concentrations from 2.4 × 104 to 1.5 × 107 PFU/mL. The results from this study demonstrated a new whole-cell biosensor design that circumvents the need for transport of analytes into biosensor cells, enabling efficient detection of the target virus particles.

Inference of human contact networks based on epidemic data

A key challenge in epidemic modeling is the lack of adequate data on population interactions (such as traffic flow or mobility patterns) which result in the spread of infectious diseases. Knowledge of social contact patterns is crucial for public health professionals to devise effective non-pharmaceutical interventions to control epidemics. This paper focuses on inferring social contact rates from reported infection counts during the spread of an infectious disease, addressing the increased difficulty that arises when dealing with “sparse” contact networks where only a small subset of the edges have non-zero weights. Specifically, a new geographically constrained lasso approach for network reconstruction for non-homogeneous mixing Susceptible-Infected-Removed (SIR) disease spread models is presented. The new network reconstruction method can explicitly account for the spatial proximity of network nodes in estimating the disease transmission rates and predicting the future evolution of the epidemic dynamics. Extensive numerical experiments are presented to show the proposed method outperforms existing approaches in terms of accuracy of contact identification under various graph topologies. A case study based on real data from the COVID-19 pandemic is presented to demonstrate the application of the approach for inferring contact structures and a counterfactual scenario analysis to assess effectiveness of containment strategies.

The evolutionary features and roles of single nucleotide variants and charged amino acid mutations in influenza outbreaks during NPI period

The epidemic and outbreaks of influenza B Victoria lineage (Bv) during 2019–2022 led to an analysis of genetic, epitopes, charged amino acids and Bv outbreaks. Based on the National Influenza Surveillance Network (NISN), the Bv 72 strains isolated during 2019–2022 were selected by spatio-temporal sampling, then were sequenced. Using the Compare Means, Correlate and Cluster, the outbreak data were analyzed, including the single nucleotide variant (SNV), amino acid (AA), epitope, evolutionary rate (ER), Shannon entropy value (SV), charged amino acid and outbreak. With the emergence of COVID-19, the non-pharmaceutical interventions (NPIs) made Less distant transmission and only Bv outbreak. The 2021–2022 strains in the HA genes were located in the same subset, but were distinct from the 2019–2020 strains (P < 0.001). The codon G → A transition in nucleotide was in the highest ratio but the transversion of C → A and T → A made the most significant contribution to the outbreaks, while the increase in amino acid mutations characterized by polar, acidic and basic signatures played a key role in the Bv epidemic in 2021–2022. Both ER and SV were positively correlated in HA genes (R = 0.690) and NA genes (R = 0.711), respectively, however, the number of mutations in the HA genes was 1.59 times higher than that of the NA gene (2.15/1.36) from the beginning of 2020 to 2022. The positively selective sites 174, 199, 214 and 563 in HA genes and the sites 73 and 384 in NA genes were evolutionarily selected in the 2021–2022 influenza outbreaks. Overall, the prevalent factors related to 2021–2022 influenza outbreaks included epidemic timing, Tv, Ts, Tv/Ts, P137 (B → P), P148 (B → P), P199 (P → A), P212 (P → A), P214 (H → P) and P563 (B → P). The preference of amino acid mutations for charge/pH could influence the epidemic/outbreak trends of infectious diseases. Here was a good model of the evolution of infectious disease pathogens. This study, on account of further exploration of virology, genetics, bioinformatics and outbreak information, might facilitate further understanding of their deep interaction mechanisms in the spread of infectious diseases.

Innovating Airport Luggage Disinfection Systems with Advanced Technologies and Automation

In this article, we point out that luggage disinfection is a key step in stopping the spread of infectious diseases that can be contracted at airports due to viruses and bacteria, which can spread through passenger luggage at airports. To prevent the spread of respiratory infections at airports, in this research study, we compare two types of baggage disinfection system. The first method uses UV light to disinfect luggage while selectively checking it for the presence of bacteria and viruses. The second system uses non-selective disinfection, taking into account the possibility of the spread of disease from the aircraft’s home country. An analysis and simulation of a specific airport security procedure was carried out on the model under study, which is an automated system for disinfecting baggage at airports in two variants. The aim is to reduce the transmission of harmful diseases and, at the same time, to ensure the accuracy of passenger security screening by efficiently exhausting each of the proposed models. This research shows that the suggested measures to stop the spread of infectious diseases that travelers’ luggage can bring in will enhance screening procedures and, in particular, boost overall security while lowering the risk of infection transmission at airports.

CHANGES IN THE HEALTH SYSTEM OF UZBEKISTAN DURING THE YEARS OF WORLD WAR II (ON THE EXAMPLE OF NAMANGAN REGION)

The article highlights the priority of the needs of the front in the organization of the health system, the organization of evacuation hospitals for the treatment of wounded soldiers, the retraining of doctors as military doctors, the number of hospitals in the region during the war years, the spread of various infectious diseases among the population based on the analysis of primary documents.

On particle dispersion statistics using unsupervised learning and Gaussian mixture models

Understanding the dispersion of particles in enclosed spaces is crucial for controlling the spread of infectious diseases. This study introduces an innovative approach that combines an unsupervised learning algorithm with a Gaussian mixture model to analyze the behavior of saliva droplets emitted from a coughing individual. The algorithm effectively clusters data, while the Gaussian mixture model captures the distribution of these clusters, revealing underlying sub-populations and variations in particle dispersion. Using computational fluid dynamics simulation data, this integrated method offers a robust, data-driven perspective on particle dynamics, unveiling intricate patterns and probabilistic distributions previously unattainable. The combined approach significantly enhances the accuracy and interpretability of predictions, providing valuable insights for public health strategies to prevent virus transmission in indoor environments. The practical implications of this study are profound, as it demonstrates the potential of advanced unsupervised learning techniques in addressing complex biomedical and engineering challenges and underscores the importance of coupling sophisticated algorithms with statistical models for comprehensive data analysis. The potential impact of these findings on public health strategies is significant, highlighting the relevance of this research to real-world applications.

Immunoglobulins as Tools for Passive Immunization in Preventive Healthcare

Immunoglobulins have emerged as an important tool in passive immunization for the prevention and treatment of infectious diseases. Immunoglobulins are the proteins produced by B cells that bind to specific pathogens, neutralize them, and facilitate their removal by the immune system. In preventive healthcare, immunoglobulins are used for primordial, primary, secondary, tertiary, and quaternary prevention of infectious diseases. This work was designed to carry out an extensive literature search to provide useful information on immunoglobulins as the tools of passive immunization in preventive healthcare. Relevant and accurate literatures were sourced from the World Health Organization. Centers for Disease Control and Prevention, National Center for Disease Control, PubMed, Scopus, PLoS One, and NATURE journals: Primordial prevention aims to prevent the emergence and spread of risk factors for infectious diseases. Immunoglobulins can be used to prevent the spread of infectious diseases by targeting the pathogens that cause them. The primary prevention aims to prevent the initial infection of individuals at risk of acquiring infectious diseases. Immunoglobulins can be used as prophylaxis to prevent the onset of infection in high-risk individuals. The secondary prevention aims to reduce the severity and duration of infectious diseases. Immunoglobulins can be used to treat infectious diseases and prevent complications. The tertiary prevention aims to prevent the recurrence and complications of infectious diseases. Immunoglobulins can be used to prevent the recurrence of infections in individuals who have already been infected. Quaternary prevention aims to prevent the overuse, misuse, and abuse of medical interventions. Immunoglobulins can be used to prevent the development of antibiotic resistance by reducing the use of antibiotics. However, the use of immunoglobulins in preventive healthcare is not without challenges. The cost-effectiveness of immunoglobulin therapy, long-term safety, and the potential for cross-infection are some of the challenges that need to be addressed. Further research is needed to optimize the use of immunoglobulins in preventive health-care delivery. Immunoglobulins are valuable tools in passive immunization for the prevention and treatment of infectious diseases in preventive healthcare. Their use can help reduce the burden of infectious diseases and improve public health outcomes. Keywords: Immunoglobulins, passive immunization, preventive healthcare.

Role of Vaccination Strategies to Host-Pathogen Dynamics in Social Interactions.

This study presents extended Immunity Agent-Based Model (IABM) simulations to evaluate vaccination strategies in controlling the spread of infectious diseases. The application of IABM in the analysis of vaccination configurations is innovative, as a vaccinated individual can be infected depending on how their immune system acts against the invading pathogen, without a pre-established infection rate. Analysis at the microscopic level demonstrates the impact of vaccination on individual immune responses and infection outcomes, providing a more realistic representation of how the humoral response caused by vaccination affects the individual's immune defense. At the macroscopic level, the effects of different population-wide vaccination strategies are explored, including random vaccination, targeted vaccination of specific demographic groups, and spatially focused vaccination. The results indicate that increased vaccination rates are correlated with decreased infection and mortality rates, highlighting the importance of achieving herd immunity. Furthermore, strategies focused on vulnerable populations or densely populated regions prove to be more effective in reducing disease transmission compared to randomly distributed vaccination. The results presented in this work show that vaccination strategies focused on highly crowded regions are more efficient in controlling epidemics and outbreaks. Results suggest that applying vaccination only in the densest region resulted in the suppression of infection in that region, with less intense viral spread in areas with lower population densities. Strategies focused on specific regions, in addition to being more efficient in reducing the number of infected and dead people, reduce costs related to transportation, storage, and distribution of doses compared to the random vaccination strategy. Considering that, despite scientific efforts to consolidate the use of mass vaccination, the accessibility, affordability, and acceptability of vaccines are problems that persist, investing in the study of strategies that mitigate such issues is crucial in the development and application of government policies that make immunization systems more efficient and robust.

Protection of children’s health in the environment of Russian emigration and the USSR in the conditions of the spread of infectious diseases in the 1920s–1930s

Introduction. The preservation of children’s health is an important state task, the success of which is largely determined by the socio-cultural context, traditions in the application of preventive measures and the provision of medical care. In this regard, it is indicative of the comparison of measures to preserve the health of schoolchildren in the “Russian schools” of the emigrant environment (on the example of schools in the Czechoslovakia and the Kingdom of Yugoslavia) and Soviet schools in the 1920s and 1930s in the conditions of the spread of infectious diseases. Materials and methods. The data sources were published reports of Russian educational institutions in exile, which contain information about the health of schoolchildren, data on the health of Soviet schoolchildren were obtained from collections of analytical works of the specified period. Results. The prevalence of infectious diseases in children among Russian emigration and in the USSR was comparable, with the exception of measles, cases of which were not recorded in emigrant educational institutions in the Czechoslovakia and the Kingdom of Yugoslavia. As the main preventive measures, disinfection and examinations were carried out, vaccinations were made. The living conditions of emigrants contributed to the spread of tuberculosis, the incidence of which among children of emigrants was higher than among the European population. Soviet and emigrant doctors agreed that the fight against infectious diseases should develop at the level of organized collectives (schools, kindergartens). Conclusion. Thus, emigrant doctors largely followed the medical traditions and experience that had developed in pre-revolutionary Russia. Nevertheless, the living conditions of emigrants and the lack of funds became factors that reduced the effectiveness of preventive measures and medical care. An important difference was that the events in the Soviet Union were carried out within the framework of the state policy on health protection, and in the emigrant environment were of a local nature, determined as a rule by the capabilities of specific educational institutions.

No sex-dependent mortality in an amphibian upon infection with the chytrid fungus, Batrachochytrium dendrobatidis.

One of the major factors driving the currently ongoing biodiversity crisis is the anthropogenic spread of infectious diseases. Diseases can have conspicuous consequences, such as mass mortality events, but may also exert covert but similarly severe effects, such as sex ratio distortion via sex-biased mortality. Chytridiomycosis, caused by the fungal pathogen Batrachochytrium dendrobatidis (Bd) is among the most important threats to amphibian biodiversity. Yet, whether Bd infection can skew sex ratios in amphibians is currently unknown, although such a hidden effect may cause the already dwindling amphibian populations to collapse. To investigate this possibility, we collected common toad (Bufo bufo) tadpoles from a natural habitat in Hungary and continuously treated them until metamorphosis with sterile Bd culture medium (control), or a liquid culture of a Hungarian or a Spanish Bd isolate. Bd prevalence was high in animals that died during the experiment but was almost zero in individuals that survived until the end of the experiment. Both Bd treatments significantly reduced survival after metamorphosis, but we did not observe sex-dependent mortality in either treatment. However, a small number of genotypically female individuals developed male phenotype (testes) in the Spanish Bd isolate treatment. Therefore, future research is needed to ascertain if larval Bd infection can affect sex ratio in common toads through female-to-male sex reversal.

Methodology for assessing the impact of emergencies on the spread of infectious diseases

The spread of infectious diseases is significantly influenced by emergencies, particularly military conflicts, which disrupt healthcare systems and increase the risks of epidemics. The full-scale Russian invasion of Ukraine has exacerbated these challenges, causing environmental damage, mass displacement, and the breakdown of healthcare services, all of which contribute to the spread of infectious diseases. This study aims to develop a comprehensive methodology for assessing the impact of emergencies on the spread of infectious diseases, focusing on the full-scale invasion of Ukraine. The object of this study is to address epidemic threats posed by emergencies, particularly the increased spread of infectious diseases due to war-related disruptions. The subject of this study is methods and models of infectious disease transmission under conditions of emergencies, emphasizing the Russian full-scale invasion of Ukraine. The tasks of this study are to provide an analysis of the current state of research and develop a methodology for assessing the impact of emergencies on the spread of infectious diseases. The proposed methodology includes several key components. Comprehensive data from public health organizations includes infectious disease statistics, demographic shifts, healthcare disruptions, and environmental factors exacerbated by emergencies. Data preprocessing removes inconsistencies, standardization of formats, and normalization for population size differences. Machine learning models, including convolutional neural networks and recurrent neural networks, have been developed to simulate the spread of diseases based on demographic, environmental, and healthcare-related variables. Deep learning models analyze spatial and temporal patterns, whereas compartmental models such as SIR estimate changes in reproductive numbers (R₀ and Re). Additionally, models of excess mortality incorporate mixed effects to account for regional and time-based variations. The methodology incorporates real-time monitoring of epidemic threats using real-time data from multiple sources, enabling dynamic assessments of disease spread and facilitating predictive modeling. The models were trained on historical data and validated using cross-validation techniques to ensure robustness and reliability, with a specific focus on the pre- and post-invasion phases in Ukraine.Results: The study provides a comprehensive framework for collecting and processing data on infectious diseases and epidemic threats in emergencies. The proposed model introduces advanced machine learning and epidemiological models trained on pre- and post-invasion data to analyze disease transmission patterns and forecast future epidemic dynamics. Conclusion: The proposed methodology addresses current gaps in infectious disease during emergencies by integrating real-time data and machine learning techniques. This research improves decision-making in public health management and biosafety during crises, particularly in war-affected regions like Ukraine.

Securitization versus sovereignty? Multi-level governance, scientific objectivation, and the discourses of the Canadian and American heads of state during the first wave of the COVID-19 pandemic.

The global health regime is caught in a paradox, whereby connecting "human" to "(inter)national" security to prevent the spread of infectious diseases unwittingly introduces into this complex and expertise-reliant domain of "low politics" the notion of "sovereign decisionism"-states' prerogative to identify a threat and counter it with exceptional measures that may in turn constrain their ability to unilaterally securitize disease. This article introduces an analytical framework presenting three pathways through which state leaders with different conceptions of sovereignty and varying constraints on their legitimacy among their domestic audiences may nevertheless securitize policy domains traditionally considered as falling within the scope of sub-state "low politics." Two of the pathways begin with scientific objectivation rather than politicization, and one trades power concentration for collaboration with sub-state and global authorities. I then compare the Canadian and American responses during the first wave of the coronavirus pandemic to uncover how these contextual factors disposed Donald Trump to politicize COVID-19, while Justin Trudeau emulated the World Health Organization's securitization of the virus without centralizing state powers.

The effect of political environment on security and privacy of contact tracing apps evaluation

PurposeContact tracing apps have emerged to collect data and mitigate the spread of infectious diseases. However, privacy and security concerns have caused individuals to hesitate to adopt these solutions. Our objective is to evaluate the role of the political environment, information privacy, security and users’ intentions to use contact tracing apps.Design/methodology/approachWe scraped the digital app store and collected 399 relevant reviews and other data from 21 contact tracing apps in the USA. A semi-supervised machine learning model was developed to extract information on privacy and security aspects from the reviews.FindingsOur findings show a positive connection between security controls and user adoption, as reflected in star ratings. Users residing in states with blue political environments tend to assign higher ratings to apps, especially when robust security controls are in place. These findings confirm the influence of the political environment on the adoption of contact tracing apps. In times of a pandemic, our findings suggest that users prioritize security over privacy concerns, emphasizing the critical role of strong security features in promoting app acceptance.Originality/valueThis paper emphasizes the political environment of the state offering the app intersects with concerns about security and privacy as well as the effectiveness of security and privacy measures, influencing the app’s ratings. Also, it shows the importance of understanding and addressing the role of the political environment when designing and promoting such public health tools, regardless of the specific disease or outbreak.

THE EFFECT OF EDUCATIONAL BOOKLETS ON KNOWLEDGE AND ATTITUDE ABOUT COVID-19 VACCINATION

The global outbreak of the Coronavirus (COVID-19) caused by the SARS-CoV-2 virus has been going on since 2019. Indonesia is one of the countries affected by the spread of the COVID-19 infectious disease. One strategy for the spread of the COVID-19 virus throughout Indonesia is the COVID-19 technique. For the community to remain socially and economically productive, the COVID-19 vaccination aims to develop community group immunity (herd immunity) and become the reason for protecting the community from COVID-19. This study aims to determine the effect of educational media books on knowledge and attitudes about COVID-19 vaccination in Parigi village, Sindangsari village. This study uses a quantitative experimental method. Determination of respondents by using purposive sampling and obtained respondents as many as 17 people. Collecting data by giving a questionnaire technique. The results of this study indicate an increase in public knowledge after being given booklet media education as much (23.6%). For attitudes, there is an increase in the positive attitude of the community as much (5.9%). This means that there is an influence of educational media books on knowledge about COVID-19 vaccination in Parigi village, Sindangsari village. This is to the theory of Notoatmodjo (2005) Knowledge is the result of knowing and occurs after people sense a certain object, the attitude of the mental state of readiness, which is regulated through experience which influences individual respondents on all related objects and situations. with him. Hopefully, with the results of this study, the public can better understand health problems, especially vaccination, besides that the Sindangsari village and related health centers can assist in carrying out health education to the community regarding existing health issues. Keywords: Influence, Education, Booklet Media, Covid-19 Vaccination

The association between attitude towards facemasks, quality of donation experience and relationship with healthcare providers: A cross-sectional exploratory study.

Facemasks represent an essential measure of prevention against the spread of infectious diseases; however, they lessen the ability to convey and understand emotions through facial expressions. In blood donation settings, facemask wearing could interfere with professionals' tasks, reduce the satisfaction of blood donors and affect their future blood donation behaviour. This preliminary cross-sectional study explored the association of mandatory facemask wearing with the quality of the blood donation process at the end of the coronavirus 2019 (COVID-19) pandemic. A sample of 615 voluntary unpaid Italian blood and plasma donors completed an online survey assessing their attitude towards facemask wearing, the perceived distress due to facemasks in the different steps of the donation process, self-reported vasovagal reactions after donation and the intention to donate again. Nearly 24% of donors reported a worsened quality of the donation process due to facemask wearing, and 36% reported moderate to severe distress during the donation itself. Donors with a more negative attitude towards facemasks reported a worse donation experience, mainly related to the interactions and the communication with physicians and nurses, and a higher probability of experiencing vasovagal reactions at their last donation. No significant correlations were observed between negative facemask attitudes towards facemask wearing, distress or future intention to donate blood/plasma. Facemasks have worsened the quality of blood and plasma donations for one fourth of donors, confirming the interference with the quality of communications and relationships with healthcare professionals.

Impacts of Climatic Changes and Air Pollution on Public health and Environment

Air pollution is an emerging highlight in developing countries in changing climate, it is considered one of the greatest concerns of public, individual, and environmental health. The rate of mortality and morbidity seems to increase due to air contamination. There are many types of air pollutants, some of the major air pollutants are particulate matter (PM), carbon monoxide (CO), nitrogen oxides (NOx), sulfur oxides (SOx), and lead (Pb). PM are minute suspended particles that can inhaled while breathing and cause cardiovascular and respiratory disorders, nervous system diseases, and cancer. High levels of CO inhalation cause poisoning in humans. Nitrogen oxides are latent greenhouse gases with high global warming potential and deplete the ozone layer. SOx causes intoxication when absorbed by the human body. When lead is absorbed by the human body by inhalation it may cause toxicity, chronic obstructive pulmonary disease, asthma, and lung cancer. Thereafter air pollution and changing climate lead to the spread of many infectious diseases. Hence, the way to manage this problem of air pollution is to make the public aware of impacts and management practices. The scientific and medical experts should conduct multidisciplinary research at the national and international level to sort out this problem in a sustainable way.