The Role of Infections in Human Pathology.

Infectious diseases, due to their epidemic potential, are capable of global spread, they are unpredictable, and their effective control is possible only on a planetary scale. In no other field of medicine, such radical and often unpredictable changes occur in a short time in the form of the elimination of individual diseases, the identification of a large number of previously unknown and the return of already forgotten diseases, a significant change in the pathogenesis and clinical symptoms of a significant number of them. Under these conditions, these changes often create problems for the health authorities and the public, ahead of their ability to recognize and respond in a timely manner to the emergence of epidemics and the transformation of pathological manifestations. Significant recent scientific progress has only slightly clarified our knowledge of the biological and genetic diversity of pathogens. Until now, the entire spectrum of infectious pathology remains unclear, and its numerous manifestations often take even experienced specialists by surprise. Evidence of our limited knowledge and ability to control the situation is the ongoing COVID-19 pandemic for three years now, the increasingly frequent detection of "new" infections, the return of infections declared defeated, evidence of the role of infectious factors in the etiology of many other human diseases.Copyright © 2023 Izdatel'stvo Meditsina. All rights reserved.

The Role of Infections in Human Pathology.

Infectious diseases, due to their epidemic potential, are capable of global spread, they are unpredictable, and their effective control is possible only on a planetary scale. In no other field of medicine, such radical and often unpredictable changes occur in a short time in the form of the elimination of individual diseases, the identification of a large number of previously unknown and the return of already forgotten diseases, a significant change in the pathogenesis and clinical symptoms of a significant number of them. Under these conditions, these changes often create problems for the health authorities and the public, ahead of their ability to recognize and respond in a timely manner to the emergence of epidemics and the transformation of pathological manifestations. Significant recent scientific progress has only slightly clarified our knowledge of the biological and genetic diversity of pathogens. Until now, the entire spectrum of infectious pathology remains unclear, and its numerous manifestations often take even experienced specialists by surprise. Evidence of our limited knowledge and ability to control the situation is the ongoing COVID-19 pandemic for three years now, the increasingly frequent detection of "new" infections, the return of infections declared defeated, evidence of the role of infectious factors in the etiology of many other human diseases.Copyright © 2023 Izdatel'stvo Meditsina. All rights reserved.

Global Pattern of kdr-Type Alleles in Musca domestica (L.).

Purpose of Review: Houseflies, Musca domestica L., are an important sanitary pest that affects human and domesticated animals. They are mechanical carriers of more than 100 human and animal diseases including protozoan, bacterial, helminthic, and viral infections. Recently, it was demonstrated that houseflies acquired, harbored, and transmitted SARS-CoV-2 (COVID-19) for up to 1 day post-exposure. The most widely used control strategy relays on the application of pyrethroid insecticides due to their effectiveness, low mammalian toxicity, low cost, and environmental safety. The main mechanism of action of pyrethroids is to exert their toxic effects through affecting the voltage-sensitive sodium channel (VSSC) modifying the transmission of the nerve impulse and leading to the death of the insects. Target site insensitivity of the VSSC is due to the presence of single nuclear polymorphisms (SNPs) named knockdown mutations (kdr). In this review, we synthetize recent data on the type and distribution of these mutations globally. Recent Findings: Housefly resistance is reported in several countries. Increased applications of pyrethroids to control housefly populations led to the emergence of multiple evolutionary origins of resistance determined by five amino acid substitutions or specific mutations in the VSSC: kdr (L1014F), kdr-his (L1014H), super-kdr (M918T + L1014F), type N (D600N + M918T + L1014F), and 1B (T929I + L1014F). According to the global map obtained, high levels of resistance to pyrethroids are associated with the L1014F mutation found mostly in North America, Europe, and Asia, while the super-kdr mutation was mostly found in the American continent. The level of protection conferred by these alleles against pyrethroids was generally kdr-his < kdr < Type N ≤ super-kdr ≤ 1B. The relative fitness of the alleles under laboratory conditions was susceptible ≅ kdr-his > kdr > super-kdr suggesting that the fitness cost of an allele was relative to the presence of other alleles in a population and that the reversion of resistance in a free insecticide environment might be quite variable from one region to another. Summary: An adequate integrated pest management program should consider monitoring susceptibility to pyrethroids to detect early levels of resistance and predict the spread and evolution of resistant phenotypes and genotypes. From this review, the pyrethroid resistance status of housefly population was determined in very few countries and has evolved independently in different areas of the world affecting chemical control programs.

Spatiotemporal analysis of the morbidity of global Omicron from November 2021 to February 2022.

The Omicron variant was first reported to the World Health Organization (WHO) from South Africa on November 24, 2021; this variant is spreading rapidly worldwide. No study has conducted a spatiotemporal analysis of the morbidity of Omicron infection at the country level; hence, to explore the spatial transmission of the Omicron variant among the 220 countries worldwide, we aimed to the analyze its spatial autocorrelation and to conduct a multiple linear regression to investigate the underlying factors associated with the pandemic. This study was an ecological study. Data on the number of confirmed cases were extracted from the WHO website. The spatiotemporal characteristic was described in a thematic map. The Global Moran Index (Moran's I) was used to detect the spatial autocorrelation, while the local indicators of spatial association (LISA) were used to analyze the local spatial correlation characteristics. The joinpoint regression model was used to explore the change in the trend of the Omicron incidence over time. The association between the morbidity of Omicron and influencing factors were analyzed using multiple linear regression. This study was an ecological study. Data on the number of confirmed cases were extracted from the WHO website. The spatiotemporal characteristic was described in a thematic map. The Global Moran Index (Moran's I) was used to detect the spatial autocorrelation, while the LISA were used to analyze the local spatial correlation characteristics. The joinpoint regression model was used to explore the change in the trend of the Omicron incidence over time. The association between the morbidity of Omicron and influencing factors were analyzed using multiple linear regression. The value of Moran's I was positive (Moran's I = 0.061, Z-score = 3.772, p = 0.007), indicating a spatial correlation of the morbidity of Omicron at the country level. From November 26, 2021 to February 26, 2022; the morbidity showed obvious spatial clustering. Hotspot clustering was observed mostly in Europe (locations in High-High category: 24). Coldspot clustering was observed mostly in Africa and Asia (locations in Low-Low category: 32). The result of joinpoint regression showed an increasing trend from December 21, 2021 to January 26, 2022. Results of the multiple linear regression analysis demonstrated that the morbidity of Omicron was strongly positively correlated with income support (coefficient = 1.905, 95% confidence interval [CI]: 1.354-2.456, p < 0.001) and strongly negatively correlated with close public transport (coefficient = -1.591, 95% CI: -2.461 to -0.721, p = 0.001). Omicron outbreaks exhibited spatial clustering at the country level worldwide; the countries with higher disease morbidity could impact the other countries that are surrounded by and close to it. The locations with High-High clustering category, which referred to the countries with higher disease morbidity, were mainly observed in Europe, and its adjoining country also showed high spatial clustering. The morbidity of Omicron increased from December 21, 2021 to January 26, 2022. The higher morbidity of Omicron was associated with the economic and policy interventions implemented; hence, to deal with the epidemic, the prevention and control measures should be strengthened in all aspects.

Global Climate Resources for Camping and Nature-Based Tourism

Climate change is impacting the distribution of climate resources upon which nature-based tourism and recreation depends. Accordingly, we examine the global distribution of climate resources from 1948 to 2016 using the Camping Climate Index (CCI), a composite index previously validated for camping and national parks visitation for 80% of the world’s major climate types found in the United States. Calculating the CCI globally, spatial and temporal analysis indicates that climate suitability differs greatly for nature-based tourism and that changes have occurred over the last 50 years in many destinations. Locations with higher latitudes and altitudes have primarily experienced shifts towards more favorable climate conditions. Conditions have worsened in tropical and subtropical regions such as central Africa, central Australia, and Southern Asia. Results demonstrate that the redistribution of global climate resources for nature-based tourism and recreation is primarily driven by warming temperatures and the increased frequency of extreme weather events in some regions. Study findings are of particular interest to destination managers and planners of outdoor locations susceptible to weather and climate change.

A Decision Support System to facilitate Vaccination for Covid-19 pandemic

Global distribution of COVID-19 vaccines is one of the world's most challenging logistics tasks. This study proposes a decision support system that integrates semaphores to facilitate distribution and vaccination process of COVID-19 vaccines. Two vaccine supplies namely Covishield (CTRI/2020/08/027170) and Covaxin (CTRI/2020/11/028976), were formulated to operationalise a two-dose vaccination program in India. In comparison with other vaccine distribution plans being executed without any prioritisation, such as on a random basis, the plans generated by the proposed decision support system ensure prioritised vaccination for the vulnerable population. Additional approach is taken to arrange the supply of vaccines using counting semaphores which eliminates the problem of people having to wait at vaccination centres and also ensuring the priority of people coming for second dose with additional consideration to aged people. © 2022 IEEE.

Flavonoids are promising safe therapy against COVID-19.

Flavonoids are a class of phenolic natural products, well-identified in traditional and modern medicines in the treatment of several diseases including viral infection. Flavonoids showed potential inhibitory activity against coronaviruses including the current pandemic outbreak caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and designated as COVID-19. Here, we have collected all data related to the potential inhibitory mechanisms of flavonoids against SARS-CoV-2 infection and their significant immunomodulatory activities. The data were mapped and compared to elect major flavonoids with a promising role in the current pandemic. Further, we have linked the global existence of flavonoids in medicinal plants and their role in protection against COVID-19. Computational analysis predicted that flavonoids can exhibit potential inhibitory activity against SARS-CoV-2 by binding to essential viral targets required in virus entry and/ or replication. Flavonoids also showed excellent immunomodulatory and anti-inflammatory activities including the inhibition of various inflammatory cytokines. Further, flavonoids showed significant ability to reduce the exacerbation of COVID-19 in the case of obesity via promoting lipids metabolism. Moreover, flavonoids exhibit a high safety profile, suitable bioavailability, and no significant adverse effects. For instance, plants rich in flavonoids are globally distributed and can offer great protection from COVID-19. The data described in this study strongly highlighted that flavonoids particularly quercetin and luteolin can exhibit promising multi-target activity against SARS-CoV-2, which promote their use in the current and expected future outbreaks. Therefore, a regimen of flavonoid-rich plants can be recommended to supplement a sufficient amount of flavonoids for the protection and treatment from SARS-CoV-2 infection.

Coronaviruses in wild birds - A potential and suitable vector for global distribution.

The recurrent appearance of novel coronaviruses (CoVs) and the mortality and morbidity caused by their outbreaks aroused a widespread response among the global science community. Wild birds' high biodiversity, perching and migratory activity, ability to travel long distances and possession of a special adaptive immune system may make them alarming sources of zoonotic CoV-spreading vectors. This review gathers the available evidence on the global spread of CoVs in wild birds to date. The major wild birds associated with different types of CoVs are Anseriformes, Charadriiformes, Columbiformes, Pelecaniformes, Galliformes, Passeriformes, Psittaciformes, Accipitriformes, Ciconiiformes, Gruiformes and so on. However, the main type of CoVs found in wild birds is gammacoronavirus, followed by deltacoronavirus. Consequently, it is imperative to enable thorough research and continuous monitoring to fill the study gap in terms of understanding their role as zoonotic vectors and the frequent appearance of novel CoVs.