Understanding the uneven spread of COVID-19 in the context of the global interconnected economy

The worldwide spread of the COVID-19 pandemic is a complex and multivariate process differentiated across countries, and geographical distance is acceptable as a critical determinant of the uneven spreading. Although social connectivity is a defining condition for virus transmission, the network paradigm in the study of the COVID-19 spatio-temporal spread has not been used accordingly. Toward contributing to this demand, this paper uses network analysis to develop a multidimensional methodological framework for understanding the uneven (cross-country) spread of COVID-19 in the context of the globally interconnected economy. The globally interconnected system of tourism mobility is modeled as a complex network and studied within the context of a three-dimensional (3D) conceptual model composed of network connectivity, economic openness, and spatial impedance variables. The analysis reveals two main stages in the temporal spread of COVID-19, defined by the cutting-point of the 44th day from Wuhan. The first describes the outbreak in Asia and North America, the second stage in Europe, South America, and Africa, while the outbreak in Oceania intermediates. The analysis also illustrates that the average node degree exponentially decays as a function of COVID-19 emergence time. This finding implies that the highly connected nodes, in the Global Tourism Network (GTN), are disproportionally earlier infected by the pandemic than the other nodes. Moreover, countries with the same network centrality as China are early infected on average by COVID-19. The paper also finds that network interconnectedness, economic openness, and transport integration are critical determinants in the early global spread of the pandemic, and it reveals that the spatio-temporal patterns of the worldwide spreading of COVID-19 are more a matter of network interconnectivity than of spatial proximity.

A novel structure-based approach for identification of vertebrate susceptibility to SARS-CoV-2: implications for future surveillance programmes

Understanding the origin of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has been a highly debatable and unsolved challenge for the scientific communities across the world. A key to dissect the susceptibility profiles of animal species to SARS-CoV-2 is to understand how virus enters into the cells. The interaction of SARS-CoV-2 ligands (RBD on spike protein) with its host cell receptor, angiotensin-converting enzyme 2 (ACE2), is a critical determinant of host range and cross-species transmission. In this study, we developed and implemented a rigorous computational approach for predicting binding affinity between 299 ACE2 orthologs from diverse vertebrate species and the SARS-CoV-2 spike protein. The findings show that the spike protein of SARS-CoV-2 can bind to many vertebrate species carrying evolutionary divergent ACE2, implying a broad host range at the virus entry level, which may contribute to cross-species transmission and further viral evolution. Additionally, the present study facilitated the identification of genetic determinants that may differentiate susceptible from the resistant host species based on the conservation of ACE2- spike protein interacting residues in vertebrate host species known to facilitate SARS-CoV-2 infection; however, these genetic determinants warrant in vivo experimental confirmation. The molecular interactions associated with varied binding affinity of distinct ACE2 isoforms in a specific bat species were identified using protein structure analysis, implying the existence of diversified susceptibility of bat species to SARS-CoV-2. The findings from current study highlight the importance of intensive surveillance programs aimed at identifying susceptible hosts, particularly those with the potential to transmit zoonotic pathogens, in order to prevent future outbreaks.

Type I IFN promotes pathogenic inflammatory monocyte maturation during H5N1 infection

Ly6Chi inflammatory monocytes show high IFN responses, and contribute to both protective and pathogenic functions following influenza virus infection. In order to understand the significance of IFN responses in this subset, we examined monocytes during infection with a lethal H5N1 virus that induces high levels of IFN and a low-pathogenicity H1N1 virus that induces low levels of IFN. We show that H5N1 infection results in early recruitment of high numbers of Ly6Chi monocytes and induction of chemokines and Ifnb1. Using unbiased transcriptomic and proteomic approaches, we also find that monocytes are significantly enriched during H5N1 infection and are associated with chemokine and IFN signatures in mice, and with severity of symptoms after influenza virus infection in humans. Recruited Ly6Chi monocytes subsequently become infected in the lung, produce IFN-β, and mature into FasL+ monocyte-derived cells (FasL+MCs) expressing dendritic cell markers. Both Ccr2-/- and Faslgld mice are protected from lethal infection, indicating that monocytes contribute to pathogenesis. Global loss of type I and type III IFN signaling in Stat2-/- mice results in loss of monocyte recruitment, likely reflecting a requirement for IFN-dependent chemokine induction. Here we show that IFN is not directly required for monocyte recruitment on an IFN-sufficient background, but is required for maturation to FasL+MCs. Loss of IFN signaling skews to a Ly6Clo phenotype associated with tissue repair, suggesting that IFN signaling in monocytes is a critical determinant of influenza virus pathogenesis.

Leveraging Digital Tools and Crowdsourcing Approaches to Generate High-Frequency Data for Diet Quality Monitoring at Population Scale in Rwanda

Diet quality is a critical determinant of human health and increasingly serves as a key indicator for food system sustainability. However, data on diets are limited, scattered, often project-dependent, and current data collection systems do not support high-frequency or consistent data flows. We piloted in Rwanda a data collection system, powered by the principles of citizen science, to acquire high frequency data on diets. The system was deployed through an unstructured supplementary service data platform, where respondents were invited to answer questions regarding their dietary intake. By combining micro-incentives with a normative nudge, 9,726 responses have been crowdsourced over 8 weeks of data collection. The cost per respondent was < $1 (system set-up, maintenance, and a small payment to respondents), with interactions taking <15 min. Exploratory analyses show that >70% of respondents consume tubers and starchy vegetables, leafy vegetables, fruits, legumes, and wholegrains. Women consumed better quality diets than male respondents, revealing a sex-based disparity in diet quality. Similarly, younger respondents (age ≤ 24 years) consumed the lowest quality diets, which may pose significant risks to their health and mental well-being. Middle-income Rwandans were identified to have consumed the highest quality diets. Long-term tracking of diet quality metrics could help flag populations and locations with high probabilities of nutrition insecurity, in turn guiding relevant interventions to mitigate associated health and social risks.

Electronic government public value of public institutions in Jordan

Substantially, the theory of e-government public value (PV-EGOV) has been treated as a hot topic to be explored insightfully. This research comes to be considered as the launching point to empirically evaluate the creation of PV-EGOV in Jordan. The main aim of this research is to investigate the factors affecting the PV-EGOV in the context of Jordan. Information System Success Model (IS success model) was selected to determine the factors affecting the e-government public value in Jordan through the quality factors (system, information, and service) and their role in citizens' intention in use and satisfaction of the e-government. The structural Equation Model (SEM) approach was harnessed to obtain the results. The results indicated that the most critical determinant factor that affected the PV-EGOV was service quality. The current article has theoretical and practical implications for public institutions in Jordan. The future work trends are established in their specific section of this article.

Event budgeting and financial health

A critical determinant of successful event management is the capacity to predict and monitor event costs and revenues. Cost blow-outs or lower than expected revenues can significantly impact an event’s financial performance, turn an anticipated profit into a loss, create major cash flow problems, and impair the financial health of an events business.

Syk-MyD88 Axis Is a Critical Determinant of Inflammatory-Response in Activated Macrophages

BackgroundInflammation, a vital immune response to infection and injury, is mediated by macrophage activation. While spleen tyrosine kinase (Syk) and myeloid differentiation primary response 88 (MyD88) are reportedly involved in inflammatory responses in macrophages, their roles and underlying mechanisms are largely unknown.MethodsHere, the role of the MyD88-Syk axis and the mechanism by which Syk and MyD88 cooperate during macrophage-mediated inflammatory responses are explored using knockout conditions of these proteins and mutation strategy as well as flowcytometric and immunoblotting analyses.ResultsSyk rapidly activates the nuclear factor-kappa B (NF-κB) signaling pathway in lipopolysaccharide (LPS)-stimulated RAW264.7 cells, and the activation of the NF-κB signaling pathway is abolished in Syk−/− RAW264.7 cells. MyD88 activates Syk and Syk-induced activation of NF-κB signaling pathway in LPS-stimulated RAW264.7 cells but Syk-induced inflammatory responses are significantly inhibited in MyD88−/− RAW264.7 cells. MyD88 interacts with Syk through the tyrosine 58 residue (Y58) in the hemi-immunoreceptor tyrosine-based activation motif (ITAM) of MyD88, leading to Syk activation and Syk-induced activation of the NF-κB signaling pathway. Src activates MyD88 by phosphorylation at Y58 via the Src kinase domain. In addition, Ras-related C3 botulinum toxin substrate 1 (Rac1) activation and Rac1-induced formation of filamentous actin (F actin) activate Src in LPS-stimulated RAW264.7 cells.ConclusionsThese results suggest that the MyD88-Syk axis is a critical player in macrophage-mediated inflammatory responses, and its function is promoted by an upstream Src kinase activated by Rac1-generated filamentous actin (F-actin).

Cryptofaunal diversity in fringing reef rhodoliths

Rhodolith distribution, morphology, and cryptofauna have been minimally studied on fringing reefs. We present the first study to examine both rhodolith distribution and associated cryptofauna in a tropical fringing reef, located along the microtidal, wave-dominated north shore of Moorea, French Polynesia. We find higher abundances of larger, rounder, and more branching rhodoliths in locations where longer waves impact the fringing reef. Among 1879 animals extracted and identified from 145 rhodoliths, ophiuroids, polychaetes, decapod crustaceans, and gastropods are most abundant, with a wide range of additional taxa contributing to diversity. Large and branching rhodoliths contain the greatest number and diversity of cryptofaunal organisms and are the preferred habitat of rigid-bodied, non-burrowing forms. Overall, exposure to waves entering the lagoon through passes appears to be a critical determinant of rhodolith abundance, morphotype, and in turn cryptofaunal composition in fringing reef habitats.

Prevalence and Management Practices of Lumpy Skin Disease (LSD) in Cattle at Natore District of Bangladesh

Lumpy skin disease (LSD) is a potentially contagious viral disease in cattle, caused by the Lumpy skin disease virus (LSDV), which belongs to the family Poxviridae. The virus is suspected to spread via biological vectors such as mosquitoes, flies, ticks, and direct contact. It is a significant economic disease caused by a virus that causes significant losses in milk production, fertility, abortions, import restrictions, and, in some cases, death in the livestock animals. This study aimed to assess the current state of LSD and its management on several farms in the north-western region of Bangladesh. Data were obtained from two Upazilas in the Natore district (Natore Sadar and Baraigram) using a structured questionnaire. During the study period of 1 June to 20 December 2020, a total of 34 small farms and 87 animals were monitored. The OIE guidelines directed the diagnosis of LSD based on current clinical indicators. MS Excel and SPSS statistical software were used to evaluate all of the data. Morbidity, mortality, and case-fatality rates were found to be 64.70%, 2.94 %, and 4.53 % in Natore Sadar and 83.02 %, 3.77 %, and 4.55 % in Baraigram Upazilas, respectively. Female animals that were newly matured (2-4 years) were a larger prone to LSD infection (43.1%) than animals of other ages. A total of 34.43% illness was found in young bull cattle aged (2-4). Bull and heifer calves are also vulnerable populations, with reports of LSD infection leading to mortality. Limb swelling is a common clinical symptom, and LSD-positive young mature (2-4 year) cattle had the most significant rate (18.39%) of limb swelling. The farm hygiene practice is a critical determinant in the spread of LSDV, and a large proportion of cattle (48.27 %) infected with LSD were on farms with poor hygienic management, compared to good (01.14 %) and medium (01.14 %) hygienic management practices (26.43 %). Despite the fact that mosquito nets help prevent mosquitoes, most owners (91.17 %) did not use one in their cattle barn at night. More study is needed in Bangladesh to improve the clinical management of LSD, identify risk factors, and understand the molecular characteristics of diseases.