Epidemiological Monitoring Research Articles

Risk of perinatal mortality among the offspring of workers employed at production with radiation hazards

Studies that address risks of perinatal mortality among the offspring of people exposed to ionizing radiation in the workplace are significant for developing hygienic standards at production facilities with radiation hazards. The purpose was to analyze perinatal mortality (stillbirths and early neonatal deaths) among the offspring of workers employed by Mayak Production Association (Mayak PA), the first atomic production facility in Russia. A retrospective analysis was performed among 25,007 children born in 1949–1973; parents of 14,580 of these children were exposed to long-term occupational radiation at Mayak PA. The study provides frequency and dynamics of perinatal mortality and comparative analysis of perinatal mortality by sex, year of birth, parental age at childbirth, and dose categories of radiation exposure. Research data were analyzed by methods of non-parametric statistics. We calculated a relative risk (RR) of perinatal mortality among the offspring of exposed and unexposed parents with 95 % CI. The rate of perinatal mortality was generally the same in both groups, 19.9 for 103 in the test group and 17.9 for 103 in the control, p > 0.05. Stillbirths among male offspring were statistically significantly more often observed in the test group due to contribution of the children with only mothers exposed to occupational radiation exposure at Mayak PA prior to conception and offspring exposed in utero. Intrauterine fetal death was observed statistically significantly more often among boys of the test group compared to controls: 2.9 against 0.9 for 103. Rates of stillbirths and perinatal mortality in the main group statistically significantly exceeded the values in the comparison group in 1949–1953: RR = 2.69 (CI: 1.46–4.95) and 2.12 (1.38–3.28) respectively. Significant statistical differences in the perinatal mortality risk were established in certain categories of preconception and intrauterine gamma-exposure. The identified peculiarities of unfavorable outcomes in the perinatal period that were detected among the offspring of Mayak PA workers could be eligible for further epidemiological monitoring. Polyetiology character of perinatal mortality requires further follow up of the cohort of the offspring born to atomic production workers.

Transforming clinical virology with AI, machine learning and deep learning: a comprehensive review and outlook.

In the rapidly evolving field of clinical virology, technological advancements have always played a pivotal role in driving transformative changes. This comprehensive review delves into the burgeoning integration of artificial intelligence (AI), machine learning, and deep learning into virological research and practice. As we elucidate, these computational tools have significantly enhanced diagnostic precision, therapeutic interventions, and epidemiological monitoring. Through in-depth analyses of notable case studies, we showcase how algorithms can optimize viral genome sequencing, accelerate drug discovery, and offer predictive insights into viral outbreaks. However, with these advancements come inherent challenges, particularly in data security, algorithmic biases, and ethical considerations. Addressing these challenges head-on, we discuss potential remedial measures and underscore the significance of interdisciplinary collaboration between virologists, data scientists, and ethicists. Conclusively, this review posits an outlook that anticipates a symbiotic relationship between AI-driven tools and virology, heralding a new era of proactive and personalized patient care.

РИСК ПЕРИНАТАЛЬНЫХ ПОТЕРЬ СРЕДИ ПОТОМКОВ ПЕРСОНАЛА РАДИАЦИОННО ОПАСНОГО ПРОИЗВОДСТВА

A retrospective analysis was performed among 25,007 children born in 1949–1973; parents of 14,580 of these children were exposed to long-term occupational radiation at Mayak PA. The study provides frequency and dynamics of perinatal mortality and comparative analysis of perinatal mortality by sex, year of birth, parental age at childbirth, and dose categories of radiation exposure. Research data were analyzed by methods of non-parametric statistics. We calculated a relative risk (RR) of perinatal mortality among the offspring of exposed and unexposed parents with 95 % CI. The rate of perinatal mortality was generally the same in both groups, 19.9 for 103 in the test group and 17.9 for 103 in the control, p > 0.05. Stillbirths among male offspring were statistically significantly more often observed in the test group due to contribution of the children with only mothers exposed to occupational radiation exposure at Mayak PA prior to conception and offspring exposed in utero. Intrauterine fetal death was observed statistically significantly more often among boys of the test group compared to controls: 2.9 against 0.9 for 103. Rates of stillbirths and perinatal mortality in the main group statistically significantly exceeded the values in the comparison group in 1949–1953: RR = 2.69 (CI: 1.46–4.95) and 2.12 (1.38–3.28) respectively. Significant statistical differences in the perinatal mortality risk were established in certain categories of preconception and intrauterine gamma-exposure. The identified peculiarities of unfavorable outcomes in the perinatal period that were detected among the offspring of Mayak PA workers could be eligible for further epidemiological monitoring. Poly-etiology character of perinatal mortality requires further follow up of the cohort of the offspring born to atomic production workers.

Detection of West Nile and Usutu Virus RNA in Autumn Season in Wild Avian Hosts in Northern Italy.

West Nile (WNV) and Usutu (USUV) viruses are two mosquito-borne viruses belonging to the family Flaviviridae and genus Flavivirus. The natural transmission cycle of WNV and USUV involves mosquitoes and birds, while mammals are thought to be accidental hosts. The goal of this study was to report-in the context of "off-season monitoring" and passive surveillance-the detection of WNV and USUV RNA in wild birds. To this end, we analyzed biological samples of wild birds in Northern Italy, from October to May, hence outside of the regional monitoring period (June-September). The virological investigations for the detection of USUV and WNV RNA were performed using real-time PCR on frozen samples of the brain, myocardium, kidney, and spleen. In a total sample of 164 wild birds belonging to 27 different species, sequences of both viruses were detected: four birds (2.44%) were positive for WNV and five (3.05%) for USUV. Off-season infections of WNV and especially USUV are still widely discussed and only a few studies have been published to date. To the best of our knowledge, this study is the first report on the detection of USUV RNA until December 22nd. Although further studies are required, our results confirm the viral circulation out-of-season of Flavivirus in wild birds, suggesting reconsidering the epidemiological monitoring period based on each individual climate zone and taking into consideration global warming which will play an important role in the epidemiology of vector-borne diseases.

Genetic diversity of Leptospira strains circulating in humans and dogs in France in 2019-2021.

Leptospirosis is a bacterial zoonotic disease. Humans and dogs are susceptible hosts, with similar clinical manifestations ranging from a febrile phase to multiple organ dysfunction. The incidence of leptospirosis in mainland France is relatively high, at about 1 case per 100,000 inhabitants, but our knowledge of the strains circulating in humans and dogs remains limited. We studied the polymorphism of the lfb1 gene sequences in an exhaustive database, to facilitate the identification of Leptospira strains. We identified 46 species-groups (SG) encompassing the eight pathogenic species of Leptospira. We sequenced the lfb1 gene amplification products from 170 biological samples collected from 2019 to 2021: 110 from humans and 60 from dogs. Epidemiological data, including vaccination status in dogs, were also collected. Three Leptospira species displaying considerable diversity were identified: L. interrogans, with eight lfb1 species-groups (including five new lfb1 species-groups) in humans and dogs; L. kirschneri, with two lfb1 species-groups in humans and dogs; and L. borgpetersenii, with one lfb1 species-group in humans only. The lfb1 species-group L. interrogans SG1, corresponding to serovar Icterohaemorrhagiae or Copenhageni, was frequently retrieved from both humans and dogs (n=67/110; 60.9% and n=59/60; 98.3% respectively). A high proportion of the affected dogs developed the disease despite vaccination (n=30/60; 50%). Genotyping with the polymorphic lfb1 gene is both robust and simple. This approach provided the first global picture of the Leptospira strains responsible for acute infections in mainland France, based on biological samples but without the need for culture. Identification of the Leptospira strains circulating and their changes over time will facilitate more precise epidemiological monitoring of susceptible and reservoir species. It should also facilitate the monitoring of environmental contamination, making it possible to implement preventive measures and to reduce the burden of this disease.

Prevalence of Human Norovirus GII.4 Sydney 2012 [P31] between 2019 and 2021 among Young Children from Rural Communities in South Africa.

Acute gastroenteritis (AGE) accounts for considerable morbidity and mortality in the paediatric population worldwide, especially in low-income countries. Human norovirus (HNoV), particularly GII.4 strains, are important agents of AGE. This study aimed to detect and characterise HNoV in children with and without AGE. Between 2019 and 2021, 300 stool samples (200 AGE and 100 without AGE) were collected from children below 5 years of age referred to the healthcare facilities of the rural communities of Vhembe District, South Africa. After detection using real-time RT-PCR, HNoV positive samples were subjected to RT-PCR and Sanger sequencing. Partial nucleotide sequences (capsid/RdRp) were aligned using the Muscle tool, and phylogenetic analysis was performed using MEGA 11. The nucleotides' percent identity among HNoV strains was compared using ClustalW software. A significant difference in HNoV prevalence between AGE children (37%; 74/200) and non-AGE (14%; 14/100) was confirmed (p < 0.0001). Genogroup II (GII) HNoV was predominant in AGE children (80%; 59/74), whereas most non-AGE children were infected by the GI norovirus genogroup (64%; 9/14). GII.4 Sydney 2012 [P31] strains were dominant (59%; 19/32) during the study period. A phylogenetic analysis revealed a close relationship between the HNoV strains identified in this study and those circulating worldwide; however, ClustalW showed less than 50% nucleotide similarity between strains from this study and those from previously reported norovirus studies in the same region. Our findings indicate significant changes over time in the circulation of HNoV strains, as well as the association between high HNoV prevalence and AGE symptoms within the study area. The monitoring of HuNoV epidemiology, along with stringent preventive measures to mitigate the viral spread and the burden of AGE, are warranted.

A new approach to the epidemiological control of infectious diseases in the Russian population

The article describes a development related to the field of public health and molecular biology, in particular, medical diagnostics. We present the Isascreen-8 portable analyzer (Registration Certificate No. RZN 2022/17322, May 24, 2022) and its application for rapid diagnostics of a new coronavirus infection with the use of commercially available sets IsoAmp SARS-CoV-2 (Lytech Co. Ltd., Russia), and also our own development TB-IZATEST (Invention Application No. 2022133809, December 22, 2022) for diagnostics of tuberculosis pathogen. The approach proposed in this article can be used for rapid detection of genetic material (DNA/RNA) of Mycobacterium tuberculosis and SARS-CoV-2 in biological samples using the method of loop isothermal amplification in less than 20 minutes, and also as a universal platform for detection of genetic material of other pathogens in a biological sample. Using the proposed approach, various research tasks for epidemiological monitoring of tuberculosis and new coronavirus infection, qualitative and quantitative analysis of bacterial and viral load in samples, including evaluation of the effectiveness of the prescribed antibiotic therapy regimen, can be solved. The advantage is that this method can be used not only in diagnostic laboratories, but also in field laboratories in the most remote regions of Russia if the mandatory sanitary and epidemiological requirements are observed. With sufficient distribution, the proposed approach could help ensure epidemiological control of the prevalence of these socially significant infections.

Smart-Systems for Precision Agriculture, Environmental Protection and Healthcare

Appearance of innovative tools of informatics in the world is determined by development of information-communication technology, microelectronics, sensor and biosensor technologies. Spreading of these technologies on precision agriculture, environmental protection and health care gives opportunity to create smart fields, gardens, greenhouses, forests and parks, and also smart health monitors, which estimate the health state of person as in rehabilitation, so in emergency situations. Results of research of authors in the development of new information technologies and creation of main components of the smart systems for different purposes on this base are shows in this paper. Main requirements for knowledge bank for precision agriculture and ecological monitoring are defined. Main principles of creating knowledge bank on base of requirements are proposed. The typical smart system models and their development stages are considered. Structure of wireless multilevel networks for the estimation of state of biological objects of different origin and their nodes are described. Developed sensor networks and smart systems for agriculture are considered. Structure of proposed smart system for agriculture and ecological monitoring is given. Approaches for chlorophyll fluorescence induction curves analysis are studied. Results of network testing for the estimation of the autonomous work time of network nodes and possible errors are given. Wireless sensor network and smart system for remote medical monitoring are described. Diagnostic smart systems for estimation of quality of life are considered. Medical communicator, computer device on base of tablet computer, was used for their development. The short form of Survey Instrument (SF-36) for life quality estimation and abnormal uterine bleeding questionnaire, which was developed in State Scientific Institution "Center for Innovative Medical Technologies of the National Academy of Sciences of Ukraine", were embedded in communicator. STEPS questionnaire which was designed for epidemiological monitoring of the prevalence of noncommunicable diseases and their risk factors in the target subpopulations could be added to communicator. Development of smart systems for estimation of quality of life and prevalence of noncommunicable diseases was made in cooperation with R.E. Kavetsky Institute of Experimental Pathology, Oncology and Radiobiology NAS of Ukraine (department of research management and innovation), Chebotarev Institute of Gerontology of the National Academy of Medical Sciences of Ukraine, Center for Innovative Medical Technologies of the National Academy of Sciences of the Ukraine. Keywords: wireless sensor network, precision agriculture, chlorophyll fluorescence induction, express-diagnostics of plant state, quality of life, SF-36.

Reverse transcription loop‑mediated isothermal amplification has a high performance in the detection of SARS‑CoV‑2 in saliva samples and nasal swabs from asymptomatic and symptomatic individuals.

The detection of coronavirus disease 2019 cases represents a significant challenge at the epidemiological level. Limitations exist in effectively detecting asymptomatic cases, achieving good follow-up in hospitals without the infrastructure for reverse transcription-quantitative PCR (RT-qPCR) or in difficult-to-access areas and developing methods with the need for less invasive sampling procedures. Therefore, the present study evaluated the performance of the direct reverse transcription loop-mediated isothermal amplification (RT-LAMP) test for detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in the saliva and nasal samples of asymptomatic individuals belonging to the university population. In addition, this test was also assessed for effectiveness in symptomatic individuals referred from a hospital with poor infrastructure in molecular biology and located outside the urban area. The RT-LAMP assay was compared with the results obtained from the RT-qPCR nasopharyngeal swab test, where the diagnosis was confirmed by lateral flow immunoassay test for rapid antigen detection. A total of 128 samples were analyzed, of which 43% were symptomatic positive individuals, 25% were asymptomatic positive individuals and 32% were SARS-CoV2-negative control individuals. Among positive individuals, no differences were found between the Cq values determined by RT-qPCR. A sensitivity of 96.5% and a specificity of 97.6% was reported for the detection of SARS-CoV-2 in symptomatic individuals by salivary and nasal RT-LAMP, as well as a sensitivity of 100% and a specificity of 97.6% for the detection of SARS-CoV-2 in asymptomatic individuals. These findings indicated that performance of the direct RT-LAMP test using saliva and nasal samples has high sensitivity and specificity, which in turn suggest that it is a viable and reliable alternative for use in epidemiological monitoring.

Evaluation of the national clinical sentinel surveillance system for sexually transmitted infections in South Africa: Analysis of provincial and district-level data.

Globally, >1 million new cases of curable sexually transmitted infections (STIs) are estimated to occur daily, an alarming rate that has prevailed for over a decade. Modelled STI prevalence estimates for South Africa (SA) are among the highest globally. Robust STI surveillance systems have implications for policy and planning, antimicrobial stewardship and prevention strategies, and are critical in stemming the tide of STIs. To evaluate the STI clinical sentinel surveillance system (STI CSSS) in SA, to describe the population incidence of four designated STI syndromes in males and females ≥15 years, and to provide recommendations for strengthening the STI CSSS. This was a retrospective analysis of the STI CSSS in SA. Distribution of the primary healthcare facilities designated as STI CSSS sites was described, taking into account provincial population distribution and headcount coverage of STI CSSS facilities. Reporting compliance was evaluated to determine completion of data reporting. Further analysis was undertaken for those provinces that had good reporting compliance over a 12-month period. Population-level and demographic STI syndrome incidence were estimated from CSSS data using case reports of male urethritis syndrome (MUS) as a proxy for data extrapolation. Reporting compliance exceeded 70% for seven of the nine provinces. STI syndromes with the highest incidence were MUS and vaginal discharge syndrome (VDS). The 20 - 24 years age group had the highest STI incidence, at least double the incidence estimated in the other two age groups. Overall STI incidence in females was higher than among males in all provinces, except Limpopo and Western Cape. The 15 - 19 years age group had the most prominent gender disparity, with the national STI incidence in females 70% higher than in males. District-level analysis revealed high regional STI incidence even in provinces with lower overall incidence. The STI CSSS is pivotal to epidemiological monitoring and proactive management of STIs, especially in view of the high HIV prevalence in SA. CSSS processes and facility selection should be reviewed and revised to be representative and responsive to the current STI needs of the country, with biennial analysis and reporting to support evidence-based policy development and targeted implementation.

Optimization of Monitoring of Nosocomial Infections in Hospitals of the Republic of North Ossetia–Alania

Introduction: Optimization of epidemiological and microbiological monitoring of nosocomial infections at the regional level will contribute to limiting circulation and spread of pathogens and improving preventive measures on the territory of the Russian Federation. Objective: To determine directions of optimization of epidemiological and microbiological monitoring of healthcare-associated infections in surgery departments and intensive care units of hospitals of the Republic of North Ossetia – Alania. Materials and methods: We carried out a retrospective epidemiological analysis of the incidence of nosocomial infections and results of microbiological monitoring conducted in surgery departments and intensive care units of ten multidisciplinary hospitals of the Republic of North Ossetia – Alania in 2015–2019. We also examined data on evaluation of preventive measures, infection control, and compliance with criteria of internal quality control and safety in health care. Results: According to the results of routine surveillance and specially organized epidemiological and microbiological monitoring, the incidence rates of healthcare-associated infections were 0.85 and 26.4 per 1,000 inpatients in surgery departments and intensive care units of hospitals of the Republic of North Ossetia – Alania, respectively. The incidence rates of certain types of nosocomial infections were statistically different (p ≤ 0.05) depending on the type of monitoring (routine/optimized): surgical site infections – 15.9/132.8 per 1,000 surgeries, catheter-associated urinary tract infections – 8.5/69.4 per 1,000 catheter days, central line-associated bloodstream infections – 7.74/89.12 per 1,000 catheter days, and ventilator-associated pneumonia – 8.12/39.74 per 1,000 ventilator days. K. pneumoniae strains isolated from surgery and intensive care patients and exhibiting extreme resistance to antimicrobial drugs belong to sequence type 1082, possess a high pandemic potential, and are widespread in many countries. According to the results of assessing compliance with the criteria of internal quality control and safety of health care, only three of ten hospitals in the Republic of North Ossetia – Alania had the compliance rate ≥ 70 %. As for the readiness for infection prevention and control in surgery departments and intensive care units, 60 % of the hospitals demonstrated a basic level and 40 % – an intermediate level of measures taken. Conclusions: Optimization of approaches to tracing healthcare-associated infections in the hospitals of the Republic of North Ossetia – Alania helped establish that actual incidence rates of nosocomial infections were on the average 26.4 times higher than those officially registered based on the results of routine surveillance.

Современные технологии микробиологических исследований в офтальмологии. Часть 2

Purpose. To highlight modern microbiological technologies (mass spectrometry, polymerase chain reaction (PCR), sequencing, laser light scattering) and methods (phenotypic, genetic, analytical methods) for detecting antibiotic sensitivity. Material and methods. To complete this review, a search was carried out for scientific publications of domestic and foreign authors on the resources of PubMed, Medline, eLibrary from 2008 to 2021, devoted to the currently existing methods for determining sensitivity to antibiotics with an emphasis on ophthalmological microbiological diagnostics. Results. Modern technologies make it possible to determine the presence of resistance to specific drugs and additionally reveal its mechanisms, allow direct detection of components of microorganisms responsible for the loss of sensitivity to antibiotics. Conclusion. The modern microbiological technologies presented in the review for determining antibiotic resistance make it possible not only to solve the clinical tasks of treating specific patients in the shortest possible time, but also to carry out epidemiological monitoring to explain the mechanisms leading to the antibiotic resistance in the population at the proteomic and genomic levels. Key words: antibiotic sensitivity, polymerase chain reaction, sequencing, mass spectrometry, antibiotic resistance

#5932 BALKAN ENDEMIC NEPHROPATHY AND MALIGNANT TUMOR OF THE UPPER TRACT UROTELIUM: AFTER 45 YEARS

Abstract Background and Aims Balkan endemic nephropathy (BEN) is a chronic progressive tubulointerstitial kidney disease of unknown etiopathogenesis described more than 65 years ago. One of the general importance of the disease is the association with malignant tumors of the upper urothelium (MUUT). Epidemiological monitoring of BEN and MUUT plays a particularly important role. In the works published so far, there is a large discrepancy in the results of epidemiological works in relation to the researchers, the period and the region of observation. The aim of this paper was to examine the occurrence of MUUT in endemic settlements for BEN and the ratio of tumor frequency in endemic and non-endemic settlements of the Jablanica district. Method The observed research period is from 1978 to 2022. During the study of the frequency of MUUT (malignant tumors of the upper urothelium), the operative material of the urological service of the Leskovac General Hospital was used. The patients were divided according to their place of residence from individual settlements in the Jablanica district, and data from the Nephrology Clinic of the Urgent Clinical Center of Niš were used to classify the settlements: A-endemic settlements of patients with BEN (Balkan endemic nephropathy); B-hypoendemic settlements; C-non-endemic urban and D-non-endemic rural settlements. Some of the analyzes in this work were carried out so that groups A, B are unique endemic and C, D are non-endemic settlements. Data on the total number of inhabitants of the Jablanica district were obtained based on official data from the population census in 1981, 1991, 2002, 2011 and 2022. The incidence rate was calculated per 100,000 inhabitants. For practical reasons, the observed period is divided into the first (1978-2002) and the second (2003-2022). Results In the period from 1978 to 2022, 106 MUUT (55 men and 51 women) were registered in the Jablanica district, and the PGSI was 0.924. In endemic settlements (A) there were 14, hypoendemic (B) 10, non-endemic urban (C) 25 and in non-endemic rural (D) 57 MUUT. In the first observation period, the PGSI in Jablanica district was 1.3, and in the second, 0.53. In endemic settlements (A) in the first period, the frequency of MUUT was 9.1 times higher than in the second (17.56/1.93), while in hypoendemic ones (B) the frequency was 3.2 times higher in the first compared to the second observation period (5.06/1.58). In the last five years of observation (2018-2022), not a single MUUT was registered in the Jablanica district, and in the endemic settlements (A.B) only three tumors were registered in the last 25 years. In the observed period, the linear trend in endemic settlements (A) was in a statistically significant decline (y = - 0.0276+55.691; r2 = 0.2128), while in the first period (1978-2002) it was in a statistically weak decline (y = - 0.0054+ 0.59; r2 = 0.0031) and in the second period (2003-2022) it is not valid because only one tumor was registered. In the observed period, the linear trend of BEN incidence was in a statistically significant decrease (y = - 0.164x +6.0669; r2 = 0.788). Conclusion The high frequency of MUUT in endemic settlements for BEN in the first period of observation, perhaps indicates a common nephropathogenic and carcinogenic etiological factor, and therefore the more correct name of the disease may be Balkan nephrouropathy. In the observed period, we have a large discrepancy in results compared to the observation periods, and one of the main reasons is the drastic decrease of patients with BEN in endemic settlements, and the reasons should be sought in the lower toxicity of the causative agent, better water supply, better health awareness of patients, health and construction prevention and not having marriage between at-risk patients. Is BEN disappearing?

Addressing the unmet need for a comprehensive lung cancer registry in Romania.

In this perspective article, we describe the vital need for a well-organized cancer registry in Romania, where lung cancer prevalence and mortality rates are alarmingly high. We discuss contributing factors such as increased use of chest X-rays and CT scans during the COVID-19 pandemic and delayed diagnoses due to limited medical care access. With the nation's characteristically limited access to healthcare, it is plausible that the surge in acute imaging for COVID-19 has inadvertently resulted in a higher detection rate of lung cancer. This inadvertent early detection underscores the vital need for a well-organized cancer registry in Romania, where lung cancer prevalence and mortality rates are alarmingly high. Although impactful, these factors are not the primary causes of the high lung cancer cases in the country. We provide an overview of current options and propose future perspectives for epidemiological monitoring of lung cancer patients in Romania, aiming to enhance patient care, bolster research, and promote data-driven policy-making. While our primary focus is establishing a national registry for lung cancer, we address challenges, considerations, and best practices applicable to all cancer types. Through our proposed strategies and recommendations, we aim to contribute to the development and improvement of a comprehensive national cancer registry system in Romania.

Detection of Heat Resulting from Determining the Concentrations of some Radionuclides for Different Samples of Natural Water in Nineveh Governorate, Iraq

The current study included the determination of the Heat Production Rate (HPR) resulting from the decay of radioactive elements (238U, 232Th, and 40k) after determining their concentrations using the technique of collecting gamma ray’s spectrum by means of the sodium iodide detector NaI (TI). The importance of determining the heat production rate, because it has a profound effect on the surface of the earth’s crust, especially in the conditions of desertification that have swept the globe in the last two decades. To achieve the objective of the study, 30 samples of natural water were collected. These samples varied between rainwater, dams, groundwater and pure tap water to natural spring water. The results showed that the concentrations of uranium (238U) ranged between 0.161-0.006 ppm and thorium (232Th) concentrations between (0.462-0.110 ppm), in addition to the potassium (40k) concentration between (0.23-0.023%). These values showed radioactivity levels below the safe and standard limits set by the UNSCEAR Committee. While the results showed for the heat production rate values ranged between (0.0223-0.0091), which indicates a low heat production rate that does not affect the temperature of the earth's crust within the limits of the sample sites that this study included. The results of the current study can be used to provide basic data for future epidemiological investigations and monitoring programs. In the areas under study.

Development and application of an RT‒PCR assay for the identification of the delta and omicron variants of SARS-COV-2

The emergence of mutations in the coronavirus genome provides opportunities for occurrence new strains with higher transmissibility, severity and duration of the disease poses.In 2020, a new variant of the coronavirus SARS-COV-2 - Delta was identified in India. This genetic variant has spread rapidly and became dominant in many countries, including Russia. In November 2021, a new outbreak of COVID-19 occurred in Africa driven by a variant SARS-COV-2 named later Omicron. Both variants had increased transmissibility compared to previously encountered variants and quickly, replacing its around the world.To promptly monitor the epidemiological situation in the country, to assess the spread of dominant genetic variants of the virus and to take appropriate measures, we have developed an RT‒PCR reagent kit for the identification of Delta and Omicron by detecting a corresponding combination of major mutations. The minimum set of mutations was chosen which allows to differentiate Delta and Omicron variants, in order to increase the analysis productivity and reduce costs. Primers and LNA-modified probes were selected to detect mutations in the S gene, typical for the Delta and Omicron. Similar approach can be implemented for the rapid development of assays for differentiating important SARS-COV-2 variants or for other viruses genotyping for epidemiological surveillance or for diagnostic use in order to assist in making clinical decisions.It was demonstrated that the results of VOC Delta and Omicron detection and their typical mutations were concordant with genotyping based on WGS results for all 847 samples of SARS-CoV-2 RNA. The kit has high analytical sensitivity (1х103 copies/mL of SARS-CoV-2 RNA) for each of the detected genetic variants and possesses 100% analytic specificity for microorganism panel testing. The diagnostic sensitivity (95% confidence interval) obtained during pivotal trials was 91.1–100% for Omicron and 91.3–100% for Delta, while the diagnostic specificity with a 95% confidence interval was 92.2–100%. The use of a set of reagents in combination with sequencing of SARS-CoV-2 RNA as part of epidemiological monitoring made it possible to quickly track the dynamics of changes in Delta and Omicron prevalence in the Moscow region in the period from December 2021 to July 2022.

Assessing the risk of West Nile Virus seasonal outbreaks and its vector control in an urbanizing bird community: An integrative R0-modelling study in the city of Merida, Mexico.

Urbanization is a global trend associated with key socio-economic issues, one of them being to control the transmission of infectious diseases to a urban fraction of the world's population that shall reach 68% in 2050. While urban growth has been shown to favor mosquito species responsible for the transmission of the West Nile Virus (WNV), a major human arbovirosis, the effects of concomitant changes in the host bird communities remain hard to anticipate albeit essential to quantify disease risk and to plan control initiatives. We developed a R0 modelling of WNV transmission in a urban bird community to assess the risk of outbreak in Merida, one of the cities with the highest growth rate in Mexico. The model was parameterized using ecological and epidemiological data collected over the past 15-years on the local vector, Culex quinquefasciatus, and avian community. We identified a 3-weeks summer period during which the vector population strongly amplifies the WNV enzootic transmission and lead to a significant risk of outbreaks in humans. Extensive sensitivity analyses showed that urbanization induced changes in the bird community could lead to an up-to 6-fold increase in the duration of the risk period, while the daily risk could rise by 40%. Interestingly, the increase in Quiscalus mexicanus abundance had 4-5 times larger impact than any other change in the bird community. In such a context, annihilating the current and future risk of WNV outbreaks in Merida requires reducing the mosquito population by 13% and up to 56%, respectively. This study provides an integrative assessment of the current and future risks of WNV outbreak in the fast urbanizing city of Merida, and points toward the implementation of epidemiological monitoring combined with preemptive measures targeting both C. quinquefasciatus and Q. mexicanus populations, as they are expected to have synergistic effects.

Tailoring capture-recapture methods to estimate registry-based case counts based on error-prone diagnostic signals.

Surveillance research is of great importance for effective and efficient epidemiological monitoring of case counts and disease prevalence. Taking specific motivation from ongoing efforts to identify recurrent cases based on the Georgia Cancer Registry, we extend recently proposed "anchor stream" sampling design and estimation methodology. Our approach offers a more efficient and defensible alternative to traditional capture-recapture (CRC) methods by leveraging a relatively small random sample of participants whose recurrence status is obtained through a principled application of medical records abstraction. This sample is combined with one or more existing signaling data streams, which may yield data based on arbitrarily non-representative subsets of the full registry population. The key extension developed here accounts for the common problem of false positive or negative diagnostic signals from the existing data stream(s). In particular, we show that the design only requires documentation of positive signals in these non-anchor surveillance streams, and permits valid estimation of the true case count based on an estimable positive predictive value (PPV) parameter. We borrow ideas from the multiple imputation paradigm to provide accompanying standard errors, and develop an adapted Bayesian credible interval approach that yields favorable frequentist coverage properties. We demonstrate the benefits of the proposed methods through simulation studies, and provide a data example targeting estimation of the breast cancer recurrence case count among Metro Atlanta area patients from the Georgia Cancer Registry-based Cancer Recurrence Information and Surveillance Program (CRISP) database.

Queued viral emergence and risk of global exposure: Langya virus

Queued viral emergence and risk of global exposure: Langya virus

Genomic Epidemiology and Antimicrobial Resistance Profiles of Clostridioides difficile from Multi-Hospitals in a City in Eastern China.

Clostridioides difficile is an important pathogen causing approximately 20-30% of the cases-with antibiotic-associated diarrhea and 90% of those with Pseudomembranous enteritis. However, limited surveillance of C. difficile infections (CDI) in China is done at present, especially in terms of multi-hospital epidemiological reports. Between June 2020 and November 2020, we conducted a prospective study addressing antimicrobial susceptibility profiles and genomic epidemiology of C. difficile strains isolated from inpatients with diarrhea in seven tertiary hospitals in the same city. In total, 177 strains of toxin-producing C. difficile were isolated, and the dominant toxin gene profiles were tcdA+tcdB+ (84.2%, 149/177) and tcdA-tcdB+ (15.8%, 28/177). Furthermore, 130 isolates were successfully analyzed for antimicrobial susceptibility phenotype in which the rates of resistance to clindamycin, erythromycin, levofloxacin, and moxifloxacin were higher than to other antibiotics. All strains were susceptible to metronidazole and vancomycin. Fluoroquinolone-associated mutations (such as gyrA) were the most frequently found ones in the analyzed genomes. Moreover, 24 different sequence types (STs) were identified in the 130 isolates, and the most prevalent types were ST3 (26.2%, 34/130) followed by ST54 (16.9%, 22/130) and ST2 (10%, 13/130). The so-called highly virulent strain ribotyping 027 (B1/NAP1/ST1) was not identified. In addition, we also compared single nucleotide polymorphisms (SNPs) among the isolates and carried out genomic epidemiological studies on the isolates. We found that ST3 and ST54 could cause transmission in both intra- and inter-hospital settings. Although it is the so-called hypervirulent epidemic strain, ribotyping 027 (ST1), was not detected. ST3 and ST54 can be transmitted through different hospitals. Therefore, it is necessary to conduct further molecular epidemiological monitoring of C. difficile and screening of patients admitted to key departments.