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There have been numerous publications on human monkeypox since it was reported. With the help of bibliometric analysis, this study examined research hotspots and future trends related to human monkeypox. Science mapping was used in this study to identify influential monkeypox researchers, institutions, articles, keywords, thematic structures, and clusters of articles.

Based on a validated search query, bibliometric analysis of data collected from Web of Science from 1989 to September 2022 was conducted. Using the “Title-Keyword-Abstract” search option, the search query consisted of keywords “Monkeypox” OR “Monkeypox virus” OR “monkeypox” OR “monkey pox” OR “MPXV.” With the state-of-the-art tools Bibliometrix package of R Studio and VOSviewer, performance analysis and science mapping, as a part of standard bibliometric research of monkeypox research were conducted.

Researchers published 708 monkeypox papers from 1989 to September 2022, with American researchers publishing 460 papers. Further, USA had the highest international cooperation in terms of collaborative research output. Centers for Disease Control and Prevention (CDC) is a global leader in monkeypox research since it is the most prolific and collaborative organization. There have been the most published papers on monkeypox in the Journal of Virology. Damon Inger K is also the most prolific and influential researcher in monkeypox research, with the highest number of publications and citations. In total, 1,679 keywords were identified in the study. From the cluster analysis four themes were identified in monkeypox research. They are (1) clinical features, (2) monkeypox virus epidemiology, (3) monkeypox virus vaccine defense, and (4) monkeypox virus-related treatment measures.

Analysis of collaboration, findings, networks of research, and visualization separates this study from traditional metrics analysis. Currently, there are no similar studies with similar objectives based on the authors' knowledge.

This study aims to analyse the trend of Mpox research in the pre and post-outbreak period. The study compared the growth pattern, major research areas, sources of publications, funding agencies, countries and institutions invested in Mpox research, and institutional and countrywide collaboration patterns in Mpox research in both periods.

This study is based on the data retrieved from the Web of Science database for two time frames: the pre-outbreak period (January 1989–April 2022) and the post-outbreak period (May 2022–December 2022). The study is limited to research articles and reviews articles from Web Science. The study used Microsoft Excel and VOSviewer visualization software to derive results.

The study found few publications on Mpox before the epidemic outbreak, and a steep increase is visible after it. Before and after the Mpox pandemic, the USA ranked first in the production of literature. The focus of research before the outbreak of the epidemic was on virology, which was replaced by infectious diseases during the post-epidemic period. More publications were found available in open-access journals during the post-outbreak time. Author collaboration with US authors from other countries is higher in the post-outbreak period. During the pre-outbreak time, the principal supporters of Mpox research were American funding agencies and institutes. The study reveals that the research in post-outbreak is more concentrated on diagnosis, prevention and treatment of Mpox.

This study offers a systematic literature review on Mpox’s overall research productivity. It contrasted the patterns of this field’s pre- and post-epidemic research. The conclusions of this study will act as a guide for scientists operating all across the world.

A thorough scientometric analysis of the trend of Mpox research in the pre- and post-outbreak period has not been attempted. It will help identify the nature of research on Mpox over the years, which will support future research on Mpox attempted across the globe.

The purpose of this article is to draw attention to how harmful and inaccurate discourses pertaining to disaster responsibility is produced, the negative implications such narratives pose and the role of the media in the ways in which discourses about queerness and disaster are reported.

Throughout this paper, the authors detail examples of media reporting on discourses relating to people with diverse sexual orientation, gender identity, gender expression and sex characteristics (SOGIESC) being blamed and held responsible for disasters across the world. The authors examine the value of such reporting as well as describing the harm blame narratives have on queer people and communities.

There is little value in reporting on accounts of people publicly declaring that people with diverse SOGIESC are to blame for disaster. More sensitivity is needed around publishing on blame discourses pertaining to already marginalised communities.

This article contributes to the developing scholarship on lesbian, gay, bisexual, transgender, queer, intersex, agender, asexual and aromantic individuals, plus other gender identities and sexual orientations (LGBTQIA+/SOGIESC) and disasters by detailing the harm of blame discourses as well as drawing attention to how the media have a role to play in averting from unintentionally providing a platform for hate speech and ultimately enhancing prejudice against people with diverse SOGIESC.

This chapter is about how the tourism is revived and how it can be rebuilt in Asian and Pacific countries after the deadliest COVID-19 pandemic with facts and stats of prepandemic and postpandemic impacts on economies of Europe and Asia due to COVID-19. The pandemics are not new to the hospitality industry but this COVID-19 pandemic has changed the whole industry concepts, and several hotels have revived their products and protocols and redesigned them to cope with any pandemic in future. Family businesses hotels are the most affected stakeholders in the hospitality industry of Asia where the governments of different countries have provided the financial support to them to revive back. The purpose of this chapter is to provide the readers with the facts about the current scenario of the hospitality and tourism industry in Asian tourist destinations and how these countries have taken proper measures to face the future (Pandemic situations). The literature is based on prepandemic stats and the effects of COVID-19 on tourism industry during the existing phases of COVID-19 including the facts and available stats of Asia which will help in the understanding of how these countries are rebuilding the tourism industry in postpandemic situation.

The purpose of this paper is to analyze the decision-making process and provide a decision support framework for deployment of an on-site analytical capacity (a fieldable laboratory (FL)) to contain an expanding outbreak and protect public health.

The FL mission cycle consists of five successive interlinked phases with a set of operational functions (OFs) performed during the mission. The list of phases, OFs and their contents were iteratively developed during and after FL missions and validated with operational partners.

The well-defined structure of the FL domain appears as the best functional basis for tracking the decision-making process across the whole mission cycle. Description of all the FL elements and information flows addresses the major issue of interoperability of resources used by similar international capacities (inter-)acting as operational partners in global response to the crisis.

The work presents the first attempt in this field to systematically describe and chronologically organize the decisions taken by a FL manager and staff during all phases of the FL mission cycle. Definition of OFs with all the related information flows allows for comparison of procedures, their better planning and refining, validation of protocols, mutual training and operational improvement between FLs from different geographical, organizational and cultural origins.

This paper aims to propose a dynamic stochastic general equilibrium (DSGE) model for the State Bank of Vietnam (SBV) to assess the response from the household sector to monetary policy shocks through the consumption function. Moreover, the transmission from monetary policy to household consumption and income distribution is experimented with through the vector autoregression (VAR) model.

In this study, the authors used the maximum likelihood estimation to estimate the DSGE and VAR models with the sample from 1996Q1 to the end of 2021Q4 (104 observations).

The DSGE model’s results show that the response of the household sector is as expected in the theory: a monetary policy shock occurs that increases the policy interest rate by 0.29%, leading to a decrease in consumer spending of about 0.041%, the shock fades after one year. Estimates from the VAR model give similar results: a monetary policy shock narrows income inequality after about 2–3 quarters and this process tends to slow down in the long run.

Based on the research results, the authors propose policy implications for the SBV to achieve the goal of price stability, and stabilizing the macro-economic environment in Vietnam.

The findings of the study have theoretical contributions and empirical scientific evidence showing the effectiveness of the implementation of the SBV’s monetary policy in the context of macro-instability, namely: flexibility, caution and coordination of different measures promptly.