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The onset of the COVID-19 pandemic in late 2019 triggered an unprecedented global health crisis. Originating in Wuhan, China, the spread of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has led to a worldwide upheaval, affecting every aspect of human life. As countries grappled with rising case counts, hospitalizations, and fatalities, the role of geospatial information and visualization in managing and understanding the pandemic became increasingly vital. This special issue of the Cartography and Geographic Information Science (CaGIS) Journal sought to explore the innovative and impactful ways in which geovisualization techniques have been employed to confront and elucidate the complexities of COVID-19. We describe significance and contribution of each paper that is part of the special issue, and avenues for new, exciting research around infectious diseases, keeping in mind that the research needs to be reproducible. [ABSTRACT FROM AUTHOR]

The corona virus disease 2019 (COVID-19) pandemic, which originated in the city of Wuhan, China, has rapidly spread to various countries, with many cases having been reported. Some existing antiviral agents showed positive results to inhibit the infection and transmission of the novel corona virus 2019 (2019-nCoV) in vitro. Covaxin is India's first indigenous COVID-19 vaccine. In this paper, we introduce the Gourava and hyper-Gourava polynomials of a graph. We compute the Gourava and hyper-Gourava polynomials of some specific class of graphs. Further, we obtain the Gourava and hyper-Gourava polynomials of some chemical structures viz., chloroquine, hydroxychloroquine, remdesivir and theaflavin which were used in the treatment of COVID-19. The Gourava and hyper-Gourava indices are investigated for the aforesaid antiviral drugs using polynomial approach. The Indian Council of Medical Research and Bharat Biotech announced that Phase 3 results of covaxin, developed by them, have shown an interim vaccine efficacy of 81 percent. So, the results obtained may be useful for finding the design of new medicine for the treatment of COVID-19. [ABSTRACT FROM AUTHOR]

The lifecycle of COVID-19 pandemic curves requires timely decisions to protect public health while minimizing the impact to global economy. New models are necessary to predict the effect of mobility suppression/reactivation decisions at a global scale. This research presents an approach to understand such tensions by modeling air travel restrictions during the new coronavirus outbreak. The paper begins with an updated review on the impact of air mobility in infectious disease progression, followed by the adoption of complex networks based on semi-supervised statistical learning. The model can be used to (1) determine the early identification of infectious disease spread via air travel and (2) align the need to keep the economy working with open connections and the different dynamic of national pandemic curves. The approach takes advantage of open data and machine self-supervised statistical learning to develop knowledge networks visualization. Test cases using Hong Kong and Wuhan aerial mobility are discussed in the decisions to (1) restrict and (2) increase mobility. The approach may also be of governments use in their international cooperation policy and commercial companies that need to choose how to prioritize the re-opening of international trade routes. [ABSTRACT FROM AUTHOR]

The rapid spread of severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) infections that were first detected in Wuhan, China, at the end of 2019 led to the state of the global COVID-19 pandemic declared by the World Health Organization in March 2020. Thus, the world faces a new challenge to control the spread of the virus. The pandemic highlighted the need for rapid detection of infections that would be able to accurately screen the population much more rapidly and economically than the gold standard molecular biology-based tools such as quantitative real-time reverse transcription polymerase chain reaction. Such screening measures would be able to isolate infected individuals, including those showing no symptoms, and provide early treatments before more serious complications develop, thus allowing for the spread of infections to be better controlled without the implementation of socioeconomically crippling lockdowns. In this review, we present a comprehensive overview of the major advances in the use of electrolyte-gated field effect transistor-based biosensors for the detection of viruses, including their use for SARS-CoV-2 detection. We describe the main types of bioreceptors used for the detection of viruses in general and those used for COVID-19 in detail. [ABSTRACT FROM AUTHOR]

In December 2019, the SARS-CoV-2 virus was first detected in Wuhan, China. Soon after, China became the first country in the world to enforce strict lockdown protocols in an effort to mitigate the spread of the disease. This study examines the perceptions of pandemic rules enforcement during the first COVID-19 lockdown in 2020 among 600 Chinese police officers. The analyses reveal that police departments' prompt and adequate adjustment to the pandemic, police officers' procedural justice in interacting with citizens, and police perceptions of police trustworthiness among the citizens all had direct and indirect effects on public compliance to lockdown enforcement during the pandemic. These findings affirm the role of police procedural justice in public compliance to law enforcement in China and stress the importance of organizational adjustment and public trust during an emergency situation such as the COVID-19 pandemic. Implications to pandemic-related policymaking and enforcement are also discussed. [ABSTRACT FROM AUTHOR]

Since the discovery of novel coronavirus pneumonia (Covid-19) in Wuhan, China, in December 2019, it has spread to other Chinese provinces and continents in just one month, becoming a "public health emergency of international concern." The undesired behaviors of the public and patients during the Covid-19 epidemic cannot be ignored, but few scholars have studied them. In this study, we firstly adopted a qualitative analysis method based on a theoretical paradigm to to summarize the human factors in the spread of the COVID-19 epidemic, and defined the concept of "human factors of the epidemic." Then, we analyzed the distribution characteristics of "human factors of epidemic" at each stage by using statistical analysis, and constructed a human factors model of epidemic evolution. Finally, a multi-subject risk assessment model was constructed using a fuzzy Bayesian network analysis method to quantify the human factors risk in the spread of the COVID-19 epidemic. The results of the study are as follows. (1) The human factors of the COVID-19 epidemic mainly focused on five aspects, including cognitive bias, defective design, management bias, environmental defects, and intentional violations. (2) There were differences in the human factors at different stages of the spread of the COVID-19 epidemic. In the outbreak stage, human factors of the COVID-19 epidemic showed complex trends, with factors such as lack of knowledge and low awareness still prevailing on the one hand, and factors such as lack of capacity, overtly agree but covertly oppose, dereliction of duty, concealment and misreporting, lack of resources, protection defects, design defects, escape/fleeing, and public gathering on the other hand also being more prominent. (3) The risk of the spread of the COVID-19 epidemic due to undesired human factors in the subjects involved was high (p = 0.641) under conventional intervention scenarios. Risk factors such as low awareness, poor decision making, lack of resources, lack of awareness, system deficiencies, public agglomeration, inadequate protection, misreporting, and dereliction of duty had relatively large sensitivity factors and were key human factors for the spread of the epidemic in Wuhan. Finally, targeted recommendations are proposed based on the evolutionary pattern and risk level of the human factors of the COVID-19 epidemic. [ABSTRACT FROM AUTHOR]

In most aspects, the COVID-19 pandemic has been the most impactful disease in the last few decades. Although two years have passed since the start of the COVID-19 pandemic, it is clear that the pandemic is far from being brought under full control. This pandemic, which was kept under control in part by the discovery of vaccines, has had a negative impact on people's daily lives as well as global economies. The transmission and death rate of this disease, which was detected in Wuhan, China in December 2019, has differed between countries. The reason for these different rates according to countries has been investigated while developing a mathematical model in this comprehensive study. The effect of 16 different socioeconomic indicators of countries on the parameters of the COVID-19 pandemic was analyzed in this study, which was performed on 35 countries, the majority of which are OECD countries. The main objective of this research is to minimize potential negative effects by improving or taking these indicators into account in future similar outbreaks. In this study, canonical correlation analysis was used to obtain the appropriate mathematical model and the performance of the obtained model has been tested statistically. According to the mathematical model obtained, the age factor comes to the fore as the most important indicator in the COVID-19 pandemic and the next important indicator is the health expenditures of the countries. The influence of 16 different socioeconomic indicators on the COVID-19 pandemic parameters are presented as a percentage with details. [ABSTRACT FROM AUTHOR]

Corona virus disease 2019 started in December 2019 as an outbreak of unexplained pneumonias in Wuhan, a city in Hubei province of China. This illness emerged as an epidemic in China and later spread to almost all countries over the globe except Antarctica. This is caused by a beta Corona virus, which is genetically similar to SARS virus. The predominant mode of transmission is via droplet spread, when the infected person coughs, sneezes or talks the virus is released in the respiratory secretions. As there are only a few cases of COVID 19 in neonates, there is no convincing evidence to support the possibility of vertical transmission. Clinical presentation in neonates is nonspecific, commonly observed are temperature instability, respiratory distress, poor feeding, lethargy, vomiting and diarrhea. Laboratory examinations may be nonspecific. Definitive test for 2019-nCoV is the detection of viral nucleic acid by real-time fluorescence polymerase chain reaction (RT-PCR). Suspected and confirmed COVID positive mothers should be delivered in separate delivery rooms and operation theaters. Since there is no approved treatment or drug for this disease, prevention of infection and breaking the chain of transmission plays a crucial role. [ABSTRACT FROM AUTHOR]

A novel coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), emerged in the sprawling capital of Central China's Hubei province Wuhan in 2019. Since late 2019, SARS-CoV-2 has been responsible for a global pandemic that has resulted in 405,961,201 confirmed cases of infection and 5,789,567 deaths as of February 11, 2022, according to the World Health Organization (WHO). Here we report the development of an inactivated SARS-CoV-2 vaccine candidate and show that its efficacy and safety in preclinical studies warrant further clinical evaluation. Efficiency and possible side effects of vaccine candidate on different doses were evaluated using histopathology, K18 hACE2 transgenic mice challenge, T-cell response, and serum neutralization test in Balb/c mice. All pilot production and propagation experiments of SARS-CoV-2 were performed in the Level 3 Negative Pressure Biosafety Facility (BSL3/ABSL-3) according to COVID-19 interim guidance of WHO. All analytical studies have shown that the quality control parameters of the vaccine candidate meet the requirements for inactivated viral vaccines according to European Pharmacopeia. The vaccine candidate (KOCAK-19) has been authorized by the Turkish Medicines and Medical Devices Agency and has now entered phase 2 clinical development (NCT04838080). [ABSTRACT FROM AUTHOR]

SARS-CoV-2 is a novel coronavirus that was isolated and identified for the first time in Wuhan, China in 2019. Nowadays, it is a worldwide danger and the WHO named it a pandemic. In this investigation, a functionalization post-synthesis method was used to assess the ability of an adapted SBA-15 surface as a sorbent to load the drug from an aqueous medium. Different characterization approaches were used to determine the characterization of the substance before and after functionalization such as Xray diffraction (XRD), Fourier transform infrared (FTIR) spectroscopy, scanning electron microscopy (SEM), nitrogen adsorption-desorption porosimetry (Brunauer-Emmett-Teller) BET surface area analysis, and thermal gravimetric analysis (TGA). Batch adsorption testing was carried out in a single adsorption device to find the impact of multiple variables on the drug amoxicillin charge output. The following parameters were studied: 0-72 hr. contact time, 20-120mg/l initial concentration, and 20-250mg of NH2-SBA-15 dose. The outcomes from such experiments revealed the strong influence and behavior of the amino-functional group to increase the drug's load. Drug delivery outcomes studies found that amoxicillin loading was directly related to NH2-SBA-15 contact time and dose, but indirectly related to primary concentration. It was observed that 80% of amoxicillin was loaded while the best release test results were 1 hour and 51%. [ABSTRACT FROM AUTHOR]

The COVID-19 pandemic is a globalized health concern caused by a beta-coronavirus named Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). Since December 2019, when this outbreak flared in Wuhan, China, COVID-19 cases have been continuously rising all over the world. Due to the emergence of SARS-CoV-2 mutants, subsequent waves are flowing in a faster manner as compared to the primary wave, which is more contagious and causing higher mortality. Recently, India has emerged as the new epicenter of the second wave by mutants of SARS-CoV-2. After almost eighteen months of this outbreak, some COVID-19 dedicated therapeutics and vaccines are available, and a few are under trial, but the situation is still uncontrolled. This perspective article covers the repurposing of childhood vaccines like Bacille Calmette–Guerin (BCG), Measles, Mumps, Rubella (MMR), and Oral Polio Vaccine (OPV), which are live attenuated vaccines and have been shown the protective effect through 'trained immunity and 'crossreactivity.' This perspective article has suggested that combinatorial use of these childhood vaccines might exert a better protective effect along with the available COVID-19 therapeutic and vaccines which could be considered as a preventive option against SARS-CoV-2 infection as well as its subsequent waves. [ABSTRACT FROM AUTHOR]

Purpose: Coronavirus disease 2019 (COVID-19) is an emerging disease that was first reported in Wuhan city, the capital of Hubei province in China, and has subsequently spread worldwide. Risk factors for mortality have not been well summarized. Current meta-analysis of retrospective cohort studies was done to summarize available findings on the association between age, gender, comorbidities and risk of death from COVID-19 infection.Methods: Online databases including Web of Science, PubMed, Scopus, Cochrane Library and Google scholar were searched to detect relevant publications up to 1 May 2020, using relevant keywords. To pool data, random-effects model was used. Furthermore, sensitivity analysis and publication bias test were also done.Results: In total, 14 studies with 29,909 COVID-19 infected patients and 1445 cases of death were included in the current meta-analysis. Significant associations were found between older age (≥65 vs <65 years old) (pooled ORs = 4.59, 95%CIs = 2.61-8.04, p < .001), gender (male vs female) (pooled ORs = 1.50, 95%CIs = 1.06-2.12, p = .021) and risk of death from COVID-19 infection. In addition, hypertension (pooled ORs = 2.70, 95%CIs = 1.40-5.24, p = .003), cardiovascular diseases (CVDs) (pooled ORs = 3.72, 95%CIs = 1.77-7.83, p = .001), diabetes (pooled ORs = 2.41, 95%CIs = 1.05-5.51, p = .037), chronic obstructive pulmonary disease (COPD) (pooled ORs = 3.53, 95%CIs = 1.79-6.96, p < .001) and cancer (pooled ORs = 3.04, 95%CIs = 1.80-5.14, p < .001), were associated with higher risk of mortality.Conclusions: Older age (≥65 years old), male gender, hypertension, CVDs, diabetes, COPD and malignancies were associated with greater risk of death from COVID-19 infection. These findings could help clinicians to identify patients with poor prognosis at an early stage. [ABSTRACT FROM AUTHOR]

A novel coronavirus recently identified in Wuhan, China (2019-nCoV) has resulted in an increasing number of patients globally, and has become a highly lethal pathogenic member of the coronavirus family affecting humans. 2019-nCoV has established itself as one of the most threatening pandemics that human beings have faced, and therefore analysis and evaluation of all possible responses against infection is required. One such strategy includes utilizing the knowledge gained from the SARS and MERS outbreaks regarding existing antivirals. Indicating a potential for success, one of the drugs, remdesivir, under repurposing studies, has shown positive results in initial clinical studies. Therefore, in the current work, the authors have attempted to utilize the remdesivir–RdRp complex – RdRp (RNA-dependent RNA polymerase) being the putative target for remdesivir – to screen a library of the already reported RdRp inhibitor database. Further clustering on the basis of structural features and scoring refinement was performed to filter out false positive hits. Finally, molecular dynamics simulation was carried out to validate the identification of hits as RdRp inhibitors against novel coronavirus 2019-nCoV. The results yielded two putative hits which can inhibit RdRp with better potency than remdesivir, subject to further biological evaluation. [ABSTRACT FROM AUTHOR]

COVID-19 disease in humans, caused by the novel SARS-CoV-2 virus, was first reported in the city of Wuhan, China in December 2019. This disease has quickly developed into a global pandemic, resulting in over 350,000 deaths worldwide and over 5 million confirmed infections in a matter of 6 months. Although the genome of this novel viral RNA was sequenced quickly and testing kits were manufactured to assist in combatting COVID-19, the diagnosis and treatment will remain relatively unsuccessful until the pathology of this disease is fully understood. Histotechnology plays an important role in understanding the pathology of many diseases, including COVID-19. The first postmortem biopsy of a COVID-19 patient was collected on 27 January 2020, and the pathology finding was published in mid-February 2020. Since then, more studies have been published in scientific literatures as the global outbreak continues. This mini-review summarizes the published articles in which histotechnology aspects were utilized with the intent to understand the pathology of COVID-19. In addition, it is anticipated there will be more molecular and immunohistochemical studies to further understand the mechanism of the disease in the near future. [ABSTRACT FROM AUTHOR]

COVID-19 is a novel coronavirus that emerged from Wuhan, China in December 2019, and within 3 months became a global pandemic. PubMed search of published data on COVID-19, respiratory infections, and diabetes mellitus (DM). DM associates with impairments of both cellular and humoral immunity. Early emergent global data reveal that severity of clinical outcome from COVID-19 infection (including hospitalization and admission to Intensive Care Unit [ICU]), associate with co-morbidities, prominently DM. The key principles of management of COVID-19 in patients with DM include ongoing focused outpatient management (remotely where necessary) and maintenance of good glycemic control. We will remember the dawn of the third decade of the twenty-first century as a time when the world changed, the true scale and impact of which is hard for us to imagine. Like a phoenix from the ashes though, COVID-19 provides us with a great learning opportunity to renew insights into ourselves as individuals, our clinical teams, and the optimized provision of care for our patients. COVID-19 has re-shaped and re-focused our collective societal values, with a sea-changed shift from materialistic to human-centric, from self-centredness to altruism, ultimately for the betterment of patient care and the whole of society. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has created a significant threat to global health. It originated in Wuhan, China and caused a total of 83,483 confirmed cases and 4634 deaths until June 2020. This novel virus spread primarily through respiratory droplets and close contact. The person-to-person transmission by direct transmittance through cough, sneeze, droplet inhalation, and contact spreading from dry surfaces contaminated with secretions of nose, mouth, and eyes of an infected person has been proven about SARS-CoV-2 transmission. As disease progressed, a series of complications tends to develop, especially in critically ill and immunocompromised patients. Pathological studies showed representative features of acute respiratory distress syndrome (ARDS) and implications on multiple organs as well. However, no specific antiviral drugs or vaccines are immediately available for the treatment of this lethal disease. The efficacy of some promising antivirals needs to be investigated by ongoing clinical trials. In current circumstances, supportive care, precautions, and social distancing are the only preventive options to ameliorate COVID-19. To disinfect the environment, mainly chemical disinfectants are being used robustly. However, due to panic state, fright, and unawareness, people are using it violently, which can have an adverse effect on human health and environment. This review discusses about the potential harmful effect of disinfectants, if used inappropriately. Here, we will also discuss safe preventive options as an alternative to robust use of disinfection methods to fight against COVID-19. [ABSTRACT FROM AUTHOR]