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OBJECTIVE: Internally displaced persons (IDPs) can have limited access to HIV and hepatitis C Virus (HCV) treatment and prevention. IDPs comprise > 7% of Georgian population but prevalence and levels of HIV and HCV knowledge in this population remain unknown. We tested 100 IDPs in Georgia for HIV and HCV, many of whom had drug injecting experience, and interviewed them about their migration experience, sexual and drug injecting practices, and HIV/HCV transmission knowledge. RESULTS: The average age of participants was 37.5 years (range 18-63); 31% were women. Almost half (N = 48) of participants reported ever injecting drugs; 17% of those (N = 8) started injecting drugs within the last year. Anti-HCV and HIV prevalence was 11% and 0%, respectively. Fewer people without drug use experience compared to people who inject drugs correctly answered all questions on the HIV knowledge test (13% vs. 35%, p = 0.015) or knew where to get tested for HIV (67% vs 98%, p < 0.001). There was no difference in HCV knowledge between the two groups. HIV and HCV prevalence remains low among Georgian IDPs, but levels of HIV knowledge were much lower than levels of HCV knowledge.

BackgroundDue to practical challenges associated with genetic sequencing in low-resource environments, the burden of hepatitis C virus (HCV) in forcibly displaced people is understudied. We examined the use of field applicable HCV sequencing methods and phylogenetic analysis to determine HCV transmission dynamics in internally displaced people who inject drugs (IDPWID) in Ukraine.MethodsIn this cross-sectional study, we used modified respondent-driven sampling to recruit IDPWID who were displaced to Odesa, Ukraine, before 2020. We generated partial and near full length genome (NFLG) HCV sequences using Oxford Nanopore Technology (ONT) MinION in a simulated field environment. Maximum likelihood and Bayesian methods were used to establish phylodynamic relationships.ResultsBetween June and September 2020, we collected epidemiological data and whole blood samples from 164 IDPWID (PNAS Nexus.2023;2(3):pgad008). Rapid testing (Wondfo® One Step HCV; Wondfo® One Step HIV1/2) identified an anti-HCV seroprevalence of 67.7%, and 31.1% of participants tested positive for both anti-HCV and HIV. We generated 57 partial or NFLG HCV sequences and identified eight transmission clusters, of which at least two originated within a year and a half post-displacement.ConclusionsLocally generated genomic data and phylogenetic analysis in rapidly changing low-resource environments, such as those faced by forcibly displaced people, can help inform effective public health strategies. For example, evidence of HCV transmission clusters originating soon after displacement highlights the importance of implementing urgent preventive interventions in ongoing situations of forced displacement.

The use of real-time genomic epidemiology has enabled the tracking of the global spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), informing evidence-based public health decision making. Ukraine has experienced four waves of the Coronavirus Disease 2019 (COVID-19) between spring 2020 and spring 2022. However, insufficient capacity for local genetic sequencing limited the potential application of SARS-CoV-2 genomic surveillance for public health response in the country. Herein, we report local sequencing of 103 SARS-CoV-2 genomes from patient samples collected in Kyiv in July-December 2021 using Oxford Nanopore technology. Together with other published Ukrainian SARS-CoV-2 genomes, our data suggest that the third wave of the epidemic in Ukraine (June-December 2021) was dominated by the Delta Variant of Concern (VOC). Our phylogeographic analysis revealed that in summer 2021 Delta VOC was introduced into Ukraine from multiple locations worldwide, with most introductions coming from Central and Eastern European countries. The wide geographic range of Delta introductions coincides with increased volume of travel to Ukraine particularly from locations outside of Europe in summer 2021. This study highlights the need to urgently integrate affordable and easily scaled pathogen sequencing technologies in locations with less developed genomic infrastructure, in order to support local public health decision making.

Internally displaced persons are often excluded from HIV molecular epidemiology surveillance due to structural, behavioral, and social barriers in access to treatment. We test a field-based molecular epidemiology framework to study HIV transmission dynamics in a hard-to-reach and highly stigmatized group, internally displaced people who inject drugs (IDPWIDs). We inform the framework by Nanopore generated HIV pol sequences and IDPWID migration history. In June-September 2020, we recruited 164 IDPWID in Odesa, Ukraine, and obtained 34 HIV sequences from HIV-infected participants. We aligned them to publicly available sequences (N = 359) from Odesa and IDPWID regions of origin and identified 7 phylogenetic clusters with at least 1 IDPWID. Using times to the most recent common ancestors of the identified clusters and times of IDPWID relocation to Odesa, we infer potential post-displacement transmission window when infections likely to happen to be between 10 and 21 months, not exceeding 4 years. Phylogeographic analysis of the sequence data shows that local people in Odesa disproportionally transmit HIV to the IDPWID community. Rapid transmissions post-displacement in the IDPWID community might be associated with slow progression along the HIV continuum of care: only 63% of IDPWID were aware of their status, 40% of those were in antiviral treatment, and 43% of those were virally suppressed. Such HIV molecular epidemiology investigations are feasible in transient and hard-to-reach communities and can help indicate best times for HIV preventive interventions. Our findings highlight the need to rapidly integrate Ukrainian IDPWID into prevention and treatment services following the dramatic escalation of the war in 2022.

BackgroundMonitoring the emergence and spread of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is an important public health objective. We investigated how the Gamma variant was established in New York City (NYC) in early 2021 in the presence of travel restrictions that aimed to prevent viral spread from Brazil, the country where the variant was first identified.MethodsWe performed phylogeographic analysis on 15 967 Gamma sequences sampled between 10 March and 1 May 2021, to identify geographic sources of Gamma lineages introduced into NYC. We identified locally circulating Gamma transmission clusters and inferred the timing of their establishment in NYC.ResultsWe identified 16 phylogenetically distinct Gamma clusters established in NYC (cluster sizes ranged 2-108 genomes); most of them were introduced from Florida and Illinois and only 1 directly from Brazil. By the time the first Gamma case was reported by genomic surveillance in NYC on 10 March, the majority (57%) of circulating Gamma lineages had already been established in the city for at least 2 weeks.ConclusionsAlthough travel from Brazil to the United States was restricted from May 2020 through the end of the study period, this restriction did not prevent Gamma from becoming established in NYC as most introductions occurred from domestic locations.

Identifying linked cases of infection is a critical component of the public health response to viral infectious diseases. In a clinical context, there is a need to make rapid assessments of whether cases of infection have arrived independently onto a ward, or are potentially linked via direct transmission. Viral genome sequence data are of great value in making these assessments, but are often not the only form of data available. Here, we describe A2B-COVID, a method for the rapid identification of potentially linked cases of COVID-19 infection designed for clinical settings. Our method combines knowledge about infection dynamics, data describing the movements of individuals, and evolutionary analysis of genome sequences to assess whether data collected from cases of infection are consistent or inconsistent with linkage via direct transmission. A retrospective analysis of data from two wards at Cambridge University Hospitals NHS Foundation Trust during the first wave of the pandemic showed qualitatively different patterns of linkage between cases on designated COVID-19 and non-COVID-19 wards. The subsequent real-time application of our method to data from the second epidemic wave highlights its value for monitoring cases of infection in a clinical context.

SARS-CoV-2 is notable both for its rapid spread, and for the heterogeneity of its patterns of transmission, with multiple published incidences of superspreading behaviour. Here, we applied a novel network reconstruction algorithm to infer patterns of viral transmission occurring between patients and health care workers (HCWs) in the largest clusters of COVID-19 infection identified during the first wave of the epidemic at Cambridge University Hospitals NHS Foundation Trust, UK. Based upon dates of individuals reporting symptoms, recorded individual locations, and viral genome sequence data, we show an uneven pattern of transmission between individuals, with patients being much more likely to be infected by other patients than by HCWs. Further, the data were consistent with a pattern of superspreading, whereby 21% of individuals caused 80% of transmission events. Our study provides a detailed retrospective analysis of nosocomial SARS-CoV-2 transmission, and sheds light on the need for intensive and pervasive infection control procedures.

SARS-CoV-2 is notable both for its rapid spread, and for the heterogeneity of its patterns of transmission, with multiple published incidences of superspreading behaviour. Here, we applied a novel network reconstruction algorithm to infer patterns of viral transmission occurring between patients and health care workers (HCWs) in the largest clusters of COVID-19 infection identified during the first wave of the epidemic at Cambridge University Hospitals NHS Foundation Trust, UK. Based upon dates of individuals reporting symptoms, recorded individual locations, and viral genome sequence data, we show an uneven pattern of transmission between individuals, with patients being much more likely to be infected by other patients than by HCWs. Further, the data were consistent with a pattern of superspreading, whereby 21% of individuals caused 80% of transmission events. Our study provides a detailed retrospective analysis of nosocomial SARS-CoV-2 transmission, and sheds light on the need for intensive and pervasive infection control procedures.

Project Management offers a variety of methodologies which provides managers with different techniques and tools to use during project planning and implementation. At the same time there is a substantial lack of systematized approaches to the management of innovation projects. In this article key factors in the selection of appropriate techniques in innovation project management will first be identified. Theoretical analysis of different project management standards and possibility of their use will then be discussed. In addition how the techniques can be applied will be investigated through academic paper analysis. . This research makes a theoretical contribution to the field of project management by selecting and determining which project management techniques can be adapted and applied to innovation projects. Recommendations for practical application are based on theoretical findings of the research. These include two main factors, which are: influencing the choice of project management techniques and the structure of project selection process. The significance of the results obtained is confirmed by creation of theoretical knowledge, which permits to thoroughly understand and capture issues which may emerge during innovation project planning and implementation, through the use of established project management methodology.

Project Management offers a variety of methodologies which provides managers with different techniques and tools to use during project planning and implementation. At the same time there is a substantial lack of systematized approaches to the management of innovation projects. In this article key factors in the selection of appropriate techniques in innovation project management will first be identified. Theoretical analysis of different project management standards and possibility of their use will then be discussed. In addition how the techniques can be applied will be investigated through academic paper analysis. . This research makes a theoretical contribution to the field of project management by selecting and determining which project management techniques can be adapted and applied to innovation projects. Recommendations for practical application are based on theoretical findings of the research. These include two main factors, which are: influencing the choice of project management techniques and the structure of project selection process. The significance of the results obtained is confirmed by creation of theoretical knowledge, which permits to thoroughly understand and capture issues which may emerge during innovation project planning and implementation, through the use of established project management methodology.

Methods for determination parameters of earth’s surface deformation zones were analyzed along with classifications of their manifestations by various criteria which complete and develop existing conceptual estimation of deformation probability by the depth safety criteria.

This article is devoted to the problem of municipal waste waters purification. The present daysituation with waste water treatment facilities in Ukraine, existed methods of waste waters purification andsearch for new ones are described. Much attention is paid to such kind of pollutants as microbiological andbacterial. A comparatively new method of sewage waters purification from biological contaminants andpossibilities to apply this method in Ukraine is presented in the article.Keywords: biological pollutants, disinfection, effective microorganisms, EM-technology, treatmentfacilities, wastewaters.

This article is devoted to the problem of wastewaters treatment and wastewater sludge utilization. Attention is paid to the problem of high content of heavy metals in wastewater sludge and inability of its further use. An alternative method for reduction of heavy metals content in wastewaters and sludge is proposed. The experiments with EM treatment of wastewater sludge in order to control heavy metals among other harmful substances are presented in the article.

The problem of oil product losses in a result of evaporation in Ukrainian fuel power complex is presented in the article. It is described the objects, where hydrocarbons emissions may take place and their negative impact on environment. For investigation it was chosen a filling station as an object of fuel power complex. As a result it was developed a Multislice system for better comprehension of interconnections in system “environment – filling station - technosociosphere”.

The problem of atmospheric air pollution in Kyiv is described in the article. Such questions as motor transport emissions, health effects of components of exhaust gases, qualities of different kinds of fuel, levels of atmospheric air pollution in various districts of Kyiv are considered here.