Infective Countermeasures Research Articles

Research on a Random Mask Infection Countermeasure against Double Fault Attacks

The infection countermeasure, in which the main idea is to prevent adversaries from exploiting faulty ciphertexts to break the key by spreading the induced fault, is a very effective countermeasure against fault attacks. However, most existing infection countermeasures struggle to defend against double-fault attacks effectively due to the single-fault assumption. By analyzing the principle of infection mechanism and adding different random Boolean masks in the two encryption paths, this paper proposes a measure called a random mask infection countermeasure to defend against double-fault attacks. In addition, the multiplication mask is used to randomize the fault diffusion to further resist single-byte fault attacks. The experimental results indicate that the random mask infection countermeasure proposed can perform fault diffusion effectively when the cryptographic circuit suffers double-fault attacks, and the fault diffusion shows randomness, and can effectively defend against these fault attacks.

Investigation of occupational health activities during the COVID-19 pandemic: a survey for small- and medium-sized enterprises and occupational physicians mainly in the Shizuoka prefecture

Previous studies of occupational health services (OHS) during the coronavirus infection disease (COVID-19) pandemic have focused on either occupational physicians (OPs) or enterprises mainly in the metropolitan areas. This survey aimed to assess OHS in some local cities during the pandemic and different perceptions of OPs and small- and medium- sized enterprises, which could contribute to efficient OHS in the future. From July to October 2021, we conducted a questionnaire survey targeting 196 OHS officers and 42 OPs in Shizuoka prefecture. We mailed 196 questionnaires (anonymous) to the OHS officers, with self-addressed postcards requesting their OP's cooperation for a similar survey. Based on the postcards replies, we mailed 149 questionnaires to 36 OPs. The survey was consisted of five categories; demographic characteristics, changes in OHS during the pandemic, infection countermeasures, infection status of employees, and free descriptions. The effective responses included 155 and 124 questionnaires from officers and 29 OPs, respectively. Regarding demographic characteristics, manufacturing and processing industries comprised the most frequent office types, whereas fewer than 100 employees comprised the most common office size. Regarding the changes in OHS, 8.4% of enterprises had OP's remote participation in health committees, and 14.5% of enterprises had stopped workplace patrols. Regarding infection countermeasures, approximately 90% of enterprises received advice and support from OPs and perceived health committees as the most helpful in receiving it. Whereas, OPs primarily gave it in workplace patrols. Many enterprises have implemented various infection countermeasures; however, they feel that promoting smoking cessation is difficult. They believed that the following advice and support was useful for the countermeasures; promoting awareness-raising activities to prevent infection, ventilation methods, and infection control while eating. Approximately 6.6% of enterprises were reluctant to share information about infection status among employees with OPs, and 34.5% of OPs were reluctant to share it with OHS officers. Moreover, about the ratio of enterprises whose employees had COVID-19, we found a difference between enterprises (39.4%)and OPs (28.2%). In free descriptions, some enterprises complained that OPs focused on COVID-19-related OHS and neglected conventional OHS. The survey revealed the OHS during the pandemic in some local cities and different perceptions about infection status between enterprises and OPs. To prepare for future pandemics, official organizations and academic conferences should provide guidelines for sharing information between OPs and enterprises. We believe this survey will lead to further cooperation between the two and better OHS combining COVID-19-related and conventional OHS.

Experiences, coping strategies and perspectives of people in Malaysia during the COVID-19 pandemic

BackgroundA nationwide Movement Control Order (MCO) was enforced in Malaysia on 18 March 2020 in view of the global COVID-19 pandemic. Malaysia implemented various public health measures and later raced against time to administer COVID-19 vaccines when they became available. As a result of various public health measures to curb the spread of the virus, people in Malaysia faced unprecedented circumstances and new challenges. This study addressed the knowledge gap in our understanding the experiences, coping strategies and perspectives of the people in Malaysia about infection countermeasures by investigating their experiences during the COVID-19 pandemic.MethodsA sequential mixed method approach was used to conduct an online survey and in-depth interviews among residents in Malaysia. A total of 827 respondents participated in the online survey from 1st May to 30th June 2020. Nineteen in-depth interviews were conducted online and by phone with key informants and members of the public, who were selected through maximum variation purposive sampling between 2nd May 2020 to 20th December 2021. The semi-structured interviews employed a phenomenological approach and transcripts were analysed using thematic analysis. The survey data were analysed using descriptive statistics in Stata 15.0.ResultsThe survey reflected significant economic impacts of the pandemic, the maximum number of days that people could cope during the MCO, and their coping strategies, which generally entailed changes in lifestyle. The internet and social media were vital platforms to mitigate against the impact of public health measures. Thematic analysis of the interview data revealed participant experiences and perceptions of COVID-19 and public health measures in four main themes: (1) work and business; (2) emotional impact (3) coping with change and (4) the COVID-19 vaccine.ConclusionsThis study provides insights into the experiences, coping strategies and perspectives of people in Malaysia living through the first-ever MCO during the COVID-19 pandemic. Such insights into COVID-19-related public health measures are pertinent for successfully planning and implementing future responses to pandemics.

Issues in Psychiatric Hospitals that were Revealed Through COVID-19 Infection Countermeasures

Introduction:Infection countermeasures that consider patient characteristics are needed at psychiatric hospitals.Method:Based on the experience of implementing countermeasures against infection by COVID-19, which has become a pandemic disaster over the past few years. This report is on the current situation and issues of infection countermeasures in psychiatric hospitals.Results:Reasons for why it is difficult to take COVID-19 countermeasures in psychiatric hospitals included the following: for patient predispositions–it is difficult to promote understanding and practice of infection countermeasures such as proper wearing of masks, hand hygiene enforcement, zoning, etc. For environmental predispositions–it is difficult to ventilate because windows and doors cannot be opened, and it is difficult to isolate infected individuals as there are few private rooms. Countermeasures included the following: recreation should be limited to that which does not involve speaking and having everybody face the same direction, ensuring sufficient space between people during meals, installing ventilation equipment in hospital wards, handle care in private rooms until the hospitalized patient is judged to be not infectious, and conducting zoning and isolation on a hospital ward level. Results showed that although COVID-19 outbreaks occasionally occurred in hospital wards, this did not result in spread throughout the hospital.Conclusion:Future challenges include improving the quality of infection countermeasures in hospitals through thoroughly educating hospital personnel who are unaccustomed to taking infection countermeasures.

Cause Analysis and Countermeasures of Human Infection in Sheep Brucellosis Immunization

Brucellosis of sheep is an important way to cause human infection. Immunization of sheep is an effective measure for the prevention and control of brucellosis of sheep. Now, M5 and S2 strains of vaccines are commonly used to immunize sheep, while M5 and S2 strains of vaccines are live vaccines, which are easy to cause infection of epidemic prevention personnel during the epidemic prevention process. Because the epidemic prevention personnel are worried that they will be infected with brucellosis due to immunization of sheep, it is difficult to promote the immunization of sheep against brucellosis, In order to reduce the risk of infection of epidemic prevention personnel in the immunization of sheep brucellosis and ensure the normal development of the immunization of sheep brucellosis, combined with three years of experience in the immunization of oral S2 strain of brucellosis, the epidemic prevention personnel infected with brucellosis due to immunization of sheep against brucellosis were carefully investigated, and it was found that the main reason for personnel infection was the weak protection awareness of the epidemic prevention personnel, the risk of scattered bacteria in oral immunization, the lax implementation of epidemic prevention operation procedures and the problems of personal protective equipment, etc. Find corresponding solutions to these problems. The quality of epidemic prevention personnel should be strengthened; Select safe immunization mode; Strictly implement the operation procedures and optimize personal protective equipment. The improvement of these measures can effectively prevent human infection caused by immunization against sheep brucellosis. Eliminating the fear of epidemic prevention personnel about being infected with brucella in the immunization of sheep brucellosis, thus ensuring the solid progress of the immunization of sheep brucellosis, and playing a positive role in reducing human infection with brucellosis.

Incidence and burden of illness at the Tokyo 2020 Paralympic Games held during the COVID-19 pandemic: a prospective cohort study of 66 045 athlete days

ObjectiveTo describe the incidence and burden of illness at the Tokyo 2020 Paralympic Games, which was organised with strict COVID-19 countermeasures.MethodsDaily illnesses were recorded via the web-based injury and illness...

Actual conditions of person-to-object contact and a proposal for prevention measures during the COVID-19 pandemic

This study focused on human contact behavior with objects and discussed countermeasures during the COVID-19 pandemic across 15 location types. Reducing contact with objects and disinfecting items can be implemented at a relatively low cost. We created a protocol for organizing the objects, and 1260 subjects who went outside during a day between December 3–7, 2020 in Tokyo and Kanagawa, Japan were surveyed. The participants touched 7317 objects in total; the most common objects were doors, chairs, baskets, elevator equipment, and cash. One-way analysis of variance and Scheffé’s multiple comparison test showed that supermarkets had the lowest mean and median values despite having the highest number of users, contact objects, and object types. Conversely, the values for hotels were the highest, significantly higher than that for other places, excluding amusement parks, workplaces, and schools and universities. Furthermore, the long-tailed frequency distribution of the number of objects suggests that the objects touched by many individuals are limited; thus, it is important to determine the objects to be prioritized for disinfection at each location. The data and protocol could inform infection countermeasures that properly address the contact realities as they pertain to people’s behavior and objects.

Risk Factors Analysis and Nursing Countermeasures of Postoperative Central Venous Catheter Infection in Patients with Urinary Tumors

Risk Factors Analysis and Nursing Countermeasures of Postoperative Central Venous Catheter Infection in Patients with Urinary Tumors

Decreased number of inpatients with community-acquired pneumonia during the COVID-19 pandemic: A large multicenter study in Japan

The COVID-19 pandemic has shaped the dynamics of many diseases. This study aims to assess how the pandemic affected community-acquired pneumonia admission of all age groups among Japanese hospitals with various size and availability of COVID-19 wards. Our findings revealed a 44%–53% reduction in community-acquired pneumonia admission among 82 hospitals in Japan, from April through September of 2020, compared to the same period of 2019. Decreases were consistently found among hospitals with and without COVID-19 wards. The most significant decrease was found in the age group <20 years old. COVID-19 preventive measures and personal hygiene are considered to be effective measures to prevent the spreading of this disease. As vaccination progresses and the public gradually become less attentive to infection countermeasures, incidence of community-acquired pneumonia may increase in the coming season. Continued monitoring is required.

Analysis of Influencing Factors and Countermeasures of Postoperative Infection in Patients Undergoing Otolaryngology Surgery

Analysis of Influencing Factors and Countermeasures of Postoperative Infection in Patients Undergoing Otolaryngology Surgery

Infection Countermeasures at Polyclinic in the TOKYO Olympic and Paralympic Games

Infection Countermeasures at Polyclinic in the TOKYO Olympic and Paralympic Games

Comparison of effectiveness of enhanced infection countermeasures in different scenarios, using a dynamic-spread-function model.

When formulating countermeasures to epidemics such as those generated by COVID-19, estimates of the benefits of a given intervention for a specific population are highly beneficial to policy makers. A recently introduced tool, known as the "dynamic-spread" SIR model, can perform population-specific risk assessment. Behavior is quantified by the dynamic-spread function, which includes the mechanisms of droplet reduction using facemasks and transmission control due to social distancing. The spread function is calibrated using infection data from a previous wave of the infection, or other data felt to accurately represent the population behaviors. The model then computes the rate of spread of the infection for different hypothesized interventions, over the time window for the calibration data. The dynamic-spread model was used to assess the benefit of three enhanced intervention strategies - increased mask filtration efficiency, higher mask compliance, and elevated social distancing - in four COVID-19 scenarios occurring in 2020: the first wave (i.e. until the first peak in numbers of new infections) in New York City; the first wave in New York State; the spread aboard the Diamond Princess Cruise Liner; and the peak occurring after re-opening in Harris County, Texas. Differences in the efficacy of the same intervention in the different scenarios were estimated. As an example, when the average outward filtration efficiency for facemasks worn in New York City was increased from an assumed baseline of 67% to a hypothesized 90%, the calculated peak number of new infections per day decreased by 40%. For the same baseline and hypothesized filtration efficiencies aboard the Diamond Princess Cruise liner, the calculated peak number of new infections per day decreased by about 15%. An important factor contributing to the difference between the two scenarios is the lower mask compliance (derivable from the spread function) aboard the Diamond Princess.

The Role of Pharmacists in AST in Large Hospitals and Their Training

Since 1997, Chubu Rosai Hospital has been establishing the proper use of various antibacterial drugs through the activities of an infection control team (ICT), introduction of a notification system for specific antibacterial drug use, and intervention of ward pharmacists for individual cases. There is no infectious disease department, and we have been working closely with each other on multiple occupations. As an initiative, we established the Nagoya Southern Infection Countermeasures Meeting in 2006 and conducted antimicrobial use and resistance (AUR) surveys to promote the proper use of antimicrobial agents within the area. In April 2018, we formed an antimicrobial stewardship team (AST) and initiated activities. In addition, an AST pharmacist can share the AST results with the ward pharmacist, for proper use of antibacterial drugs and for early monitoring of infectious disease treatment and appropriate intervention, thus improving the efficiency of the ward pharmacist's work. This program will also lead to the development of training programs for the younger generation of pharmacists.

Retrospective analysis of interventions to epidemics using dynamic simulation of population behavior

Retrospective analyses of interventions to epidemics, in which the effectiveness of strategies implemented are compared to hypothetical alternatives, are valuable for performing the cost–benefit calculations necessary to optimize infection countermeasures. SIR (susceptible–infected–removed) models are useful in this regard but are limited by the challenge of deciding how and when to update the numerous parameters as the epidemic changes in response to population behaviors. Behaviors of particular interest include facemask adoption (at various levels) and social distancing. We present a method that uses a “dynamic spread function” to systematically capture the continuous variation in the population behavior and the gradual change in infection evolution, resulting from interventions. No parameter updates are made by the user. We use the tool to quantify the reduction in infection rate realizable from the population of New York City adopting different facemask strategies during COVID-19. Assuming a baseline facemask of 67% filtration efficiency, calculations show that increasing the efficiency to 80% could have reduced the roughly 5000 new infections per day occurring at the peak of the epidemic to around 4000. Population behavior that may not be varied as part of the retrospective analysis, such as social distancing in a facemask analysis, are automatically captured as part of the calibration of the dynamic spread function.

Risk factors and nursing countermeasures of postoperative pulmonary infection in patients with breast cancer: A retrospective analysis.

It is necessary to elucidate the potential risk factors of pulmonary infection to provide references for the management of breast cancer.Our study was a retrospective design, patients who underwent modified radical mastectomy for breast cancer in our department of breast surgery from January 2019 to November 2020 were included. The personal and clinical data of included patients with and without pulmonary infection were compared.A total of 234 patients with radical mastectomy were included, the incidence of pulmonary infection was 15.38% with 95%confidence interval (CI) 11.42% to 18.98%. There were significant differences in the age, body mass index, diabetes, duration of surgery, combined radiotherapy and chemotherapy, and duration of drainage between patients with and without pulmonary infections (all P < .05). Logistic regression analysis indicated that age ≥55 years (odds ratio [OR] 2.128, 95%CI 1.105–3.426), body mass index ≥ 24 kg/m2(OR 2.344, 95%CI 1.031–3.299), diabetes (OR 2.835, 95%CI 1.132–4.552), duration of surgery ≥120 minutes (OR 1.394, 95%CI 1.012–1.044), combined radiotherapy and chemotherapy (OR 3.122, 95%CI 1.124–5.273), duration of drainage ≥5 days (OR 1.851, 95%CI 1.112–2.045) might be the independent risk factors of pulmonary infection in patients after radical mastectomy(all P < .05). Pseudomonas aeruginosa and Klebsiella pneumoniae are the most commonly seen bacteria.The incidence of postoperative pulmonary infections in breast cancer patients is high, and there are many associated risk factors. The perioperative management of patients should be strengthened targeted on those risk factors in clinical practice.

Study on Risk Factors of Infection and Management Countermeasures in Nursing Behavior of Infectious Department

Study on Risk Factors of Infection and Management Countermeasures in Nursing Behavior of Infectious Department

Assessment of Antibiotic use in Pregnant Women in a Tertiary care Teaching Hospital – A Cross Sectional Observational Study

During pregnancy, most women are at risk for respiratory tract infections (RTIs), urinary tract infections (UTIs), and ear, nose, and throat infections. Antimicrobials are the most commonly given medications to treat acquired illnesses during this time. This study aimed to assess antibiotic use in pregnant women in a tertiary care teaching hospital. The present study was a cross- sectional prospective observational study and was conducted for three months in a tertiary care health centre in North Karnataka with 57 participants.All case records of pregnant women who use antibiotics admitted to Obstetrics and Gynecology department and pregnant women with more than 18 years of age were included in the study. Out of 57 participants, 40.3% of them were belonging to the age category of 19-23 years of age, followed by 33.3% in 24-28 years. Most prevalent infections which required antimicrobials prescription were UTIs (36.82%), followed by Gastroenteritis (17.54%) and Pyrexia (14.03%). Majority of the antimicrobials prescribed were from Betalactams (40.34%), followed by Nitrofuranes (29.82%). To assist in making prescribing decisions for pregnant women, health care professionals should examine the teratogenic and toxic risk profiles of antibiotics. These could be especially significant if anti- infective countermeasures are needed to safeguard the health, safety, and survival of people who have been exposed to pathogenic bacteriologic agents as a result of bioterrorism. Keywords: Antimicrobials, pregnancy, teratogenic effect, urinary tract infections

Do multiple infections lead to better security? A new study on CHES 2014 infective countermeasure

Do multiple infections lead to better security? A new study on CHES 2014 infective countermeasure

Main Infection Problems and Countermeasures of Obstetrics and Gynecology Nursing

Main Infection Problems and Countermeasures of Obstetrics and Gynecology Nursing

Fault intensity map analysis with neural network key distinguisher

Physical cryptographic implementations are vulnerable to side-channel attacks, including fault attacks, which can be used to recover a secret key. Using a deep neural network (NN) with fault intensity map analysis (FIMA), we present a new highly efficient statistical fault injection analysis (FIA) technique called FIMA-NN. This technique employs a convolutional neural network to rank the key candidates based on multiple features in data distribution under fault with varying intensities and generalizes most existing statistical techniques including fault sensitivity analysis, differential fault intensity analysis, statistical ineffective fault analysis, and FIMA. As FIMA-NN does not rely on a single feature of data distribution, it is successful even in the presence of a wide variety of countermeasures against FIA. We introduce a generic statistical model for timing failure attacks using dynamic timing analysis of an AES S-box implemented in TSMC 65 nm technology with standard ASIC design flow. Using the simulated fault mechanism, we demonstrate that, in terms of required amount of collected ciphertexts, FIMA-NN is 12.6 times more efficient than statistical techniques using bias alone, when faulty and fault-free values are not filtered. Further, in the presence of error detection and infective countermeasures, FIMA-NN is 4.8 and 5 times more efficient than bias-alone techniques, respectively.