Seesaw Effect Between COVID-19 and Influenza From 2020 to 2023 in World Health Organization Regions: Correlation Analysis.

BACKGROUND: Seasonal influenza activity showed a sharp decline in activity at the beginning of the emergence of COVID-19. Whether there is an epidemiological correlation between the dynamic of these 2 respiratory infectious diseases and their future trends needs to be explored. OBJECTIVE: We aimed to assess the correlation between COVID-19 and influenza activity and estimate later epidemiological trends. METHODS: We retrospectively described the dynamics of COVID-19 and influenza in 6 World Health Organization (WHO) regions from January 2020 to March 2023 and used the long short-term memory machine learning model to learn potential patterns in previously observed activity and predict trends for the following 16 weeks. Finally, we used Spearman correlation coefficients to assess the past and future epidemiological correlation between these 2 respiratory infectious diseases. RESULTS: With the emergence of the original strain of SARS-CoV-2 and other variants, influenza activity stayed below 10% for more than 1 year in the 6 WHO regions. Subsequently, it gradually rose as Delta activity dropped, but still peaked below Delta. During the Omicron pandemic and the following period, the activity of each disease increased as the other decreased, alternating in dominance more than once, with each alternation lasting for 3 to 4 months. Correlation analysis showed that COVID-19 and influenza activity presented a predominantly negative correlation, with coefficients above -0.3 in WHO regions, especially during the Omicron pandemic and the following estimated period. The diseases had a transient positive correlation in the European region of the WHO and the Western Pacific region of the WHO when multiple dominant strains created a mixed pandemic. CONCLUSIONS: Influenza activity and past seasonal epidemiological patterns were shaken by the COVID-19 pandemic. The activity of these diseases was moderately or greater than moderately inversely correlated, and they suppressed and competed with each other, showing a seesaw effect. In the postpandemic era, this seesaw trend may be more prominent, suggesting the possibility of using one disease as an early warning signal for the other when making future estimates and conducting optimized annual vaccine campaigns.

A bibliometric analysis of publications on obsessive-compulsive disorder using VOSviewer.

Background: Obsessive-compulsive disorder (OCD) is one of the top ten disabling diseases seriously affecting the health of population. Recently, studies on this disease significantly increased. However, only a few bibliometric analyses concerning this area have been reported. In this study, we used bibliometrics and visualization tools to examine the current state, hot topics and future trends in OCD research. Methods: Scientific publications regarding OCD were retrieved from the Web of Science Core Collection (WoSCC) database. The features of OCD research were further analyzed using VOSviewer. Results: A total of 24,552 publications and 65,296 authors in the field of OCD were retrieved from 2000 to 2022, showing an overall upward trend in publications over the past 22 years. One hundred and thirteen countries around the world had participated in the research. Among these countries, the developed countries such as the United States, England, and Canada were the crucial productive nations in this subject. As for institutions, the Harvard University, the University of London, and the University of California system were the leading institutions. Authors including Storch EA, Mataix-Cols D, and Stein DJ were the prolific authors. 1,949 journals are contributing to the OCD field, of which the top three are Biological Psychiatry (831 articles), European Neuropsychopharmacology (776 articles) and Psychiatric Research (648 articles). Research hotspots of OCD included pathogenesis, epidemiology, comorbidities, clinical features, and evaluation methods. COVID-19, mental health, functional connectivity, and genome-wide association were emerging trends in the field of OCD. Conclusion: This study integrates the bibliometric information on the current research status and emerging trends in OCD from a macro perspective. The findings can provide valuable insights into further research on OCD.

Web-based surveillance of respiratory infection outbreaks: retrospective analysis of Italian COVID-19 epidemic waves using Google Trends.

Introduction: Large-scale diagnostic testing has been proven insufficient to promptly monitor the spread of the Coronavirus disease 2019. Electronic resources may provide better insight into the early detection of epidemics. We aimed to retrospectively explore whether the Google search volume has been useful in detecting Severe Acute Respiratory Syndrome Coronavirus outbreaks early compared to the swab-based surveillance system. Methods: The Google Trends website was used by applying the research to three Italian regions (Lombardy, Marche, and Sicily), covering 16 million Italian citizens. An autoregressive-moving-average model was fitted, and residual charts were plotted to detect outliers in weekly searches of five keywords. Signals that occurred during periods labelled as free from epidemics were used to measure Positive Predictive Values and False Negative Rates in anticipating the epidemic wave occurrence. Results: Signals from "fever," "cough," and "sore throat" showed better performance than those from "loss of smell" and "loss of taste." More than 80% of true epidemic waves were detected early by the occurrence of at least an outlier signal in Lombardy, although this implies a 20% false alarm signals. Performance was poorer for Sicily and Marche. Conclusion: Monitoring the volume of Google searches can be a valuable tool for early detection of respiratory infectious disease outbreaks, particularly in areas with high access to home internet. The inclusion of web-based syndromic keywords is promising as it could facilitate the containment of COVID-19 and perhaps other unknown infectious diseases in the future.

Effects of the first wave of COVID-19 pandemic on implied stock market volatility: International evidence using a google trend measure.

This paper investigates the relationship between investors' attention, as measured by Google search queries, and equity implied volatility during the COVID-19 outbreak. Recent studies show that search investors' behavior data is an extremely abundant repository of predictive data, and investor-limited attention increases when the uncertainty level is high. Our study using data from thirteen countries across the globe during the first wave of the COVID-19 pandemic (January-April 2020) examines whether the search "topic and terms" for the pandemic affect market participants' expectations about future realized volatility. With the panic and uncertainty about COVID-19, our empirical findings show that increased internet searches during the pandemic caused the information to flow into the financial markets at a faster rate and thus resulting in higher implied volatility directly and via the stock return-risk relation. More specifically for the latter, the leverage effect in the VIX becomes stronger as Google search queries intensify. Both the direct and indirect effects on implied volatility, highlight a risk-aversion channel that operates during the pandemic. We also find that these effects are stronger in Europe than in the rest of the world. Moreover, in a panel vector autoregression framework, we show that a positive shock on stock returns may soothe COVID-related Google searches in Europe. Our findings suggest that Google-based attention to COVID-19 leads to elevated risk aversion in stock markets.

Did the COVID-19 Pandemic Coincide With an Increase in Osteonecrosis as Indication for Total Hip Arthroplasty in Older Patients?

BACKGROUND: Osteonecrosis of the femoral head is a common indication for total hip arthroplasty (THA). It is unclear to what extent the COVID-19 pandemic has impacted its incidence. Theoretically, the combination of microvascular thromboses and corticosteroid use in patients who have COVID-19 may increase the risk of osteonecrosis. We aimed to (1) assess recent osteonecrosis trends and (2) investigate if a history of COVID-19 diagnosis is associated with osteonecrosis. METHODS: This retrospective cohort study utilized a large national database between 2016 and 2021. Osteonecrosis incidence in 2016 to 2019 was compared to 2020 to 2021. Secondly, utilizing a cohort from April 2020 through December 2021, we investigated whether a prior COVID-19 diagnosis was associated with osteonecrosis. For both comparisons, Chi-square tests were applied. RESULTS: Among 1,127,796 THAs performed between 2016 and 2021, we found an osteonecrosis incidence of 1.6% (n = 5,812) in 2020 to 2021 compared to 1.4% (n = 10,974) in 2016 to 2019; P < .0001. Furthermore, using April 2020 to December 2021 data from 248,183 THAs, we found that osteonecrosis was more common among those who had a history of COVID-19 (3.9%; 130 of 3,313) compared to patients who had no COVID-19 history (3.0%; 7,266 of 244,870); P = .001). CONCLUSION: Osteonecrosis incidence was higher in 2020 to 2021 compared to previous years and a previous COVID-19 diagnosis was associated with a greater likelihood of osteonecrosis. These findings suggest a role of the COVID-19 pandemic on an increased osteonecrosis incidence. Continued monitoring is necessary to fully understand the impact of the COVID-19 pandemic on THA care and outcomes.

Suicide Following the COVID-19 Pandemic Outbreak: Variation Across Place, Over Time, and Across Sociodemographic Groups. A Systematic Integrative Review.

PURPOSE OF REVIEW: To systematically examine changes in suicide trends following the initial COVID-19 outbreak, focusing on geographical and temporal heterogeneity and on differences across sociodemographic subgroups. RECENT FINDINGS: Of 46 studies, 26 had low risk of bias. In general, suicides remained stable or decreased following the initial outbreak - however, suicide increases were detected during spring 2020 in Mexico, Nepal, India, Spain, and Hungary; and after summer 2020 in Japan. Trends were heterogeneous across sociodemographic groups (i.e., there were increases among racially minoritized individuals in the US, young adults and females across ages in Japan, older males in Brazil and Germany, and older adults across sex in China and Taiwan). Variations may be explained by differences in risk of COVID-19 contagion and death and in socioeconomic vulnerability. Monitoring geographical, temporal, and sociodemographic differences in suicide trends during the COVID-19 pandemic is critical to guide suicide prevention efforts.

Interpreting Cancer Incidence Trends: Challenges due to the COVID-19 Pandemic.

The significant deficit in cancer diagnoses in 2020 due to COVID-19 pandemic disruptions in health care, can pose challenges in the estimation and interpretation of long-term cancer trends. Using SEER (2000-2020) data, we demonstrate that inclusion of the 2020 incidence rates in joinpoint models to estimate trends can result in a poorer fit to the data, less accurate, or less precise trend estimates, providing challenges in the interpretation of the estimates as a cancer control measure. To measure the decline in 2020 relative to 2019 cancer incidence rates, we use the percent change of rates in 2020 compared to 2019. Overall, SEER cancer incidence rates dropped approximately 10% in 2020, but for thyroid cancer the drop was as big as 18%, after adjusting for reporting delay. The 2020 SEER incidence data is available in all SEER released products, except for joinpoint estimates of trends and lifetime risk of developing cancer.

Coronavirus-Related Searches on the Internet Predict COVID-19 Vaccination Rates in the Real World: A Behavioral Immune System Perspective.

According to the smoke detector and functional flexibility principles of human behavioral immune system (BIS), the exposure to COVID-19 cues could motivate vaccine uptake. Using the tool of Google Trends, we tested that coronavirus-related searches-which assessed natural exposure to COVID-19 cues-would positively predict actual vaccination rates. As expected, coronavirus-related searches positively and significantly predicted vaccination rates in the United States (Study 1a) and across the globe (Study 2a) after accounting for a range of covariates. The stationary time series analyses with covariates and autocorrelation structure of the dependent variable confirmed that more coronavirus-related searches compared with last week indicated increases in vaccination rates compared with last week in the United States (Study 1b) and across the globe (Study 2b). With real-time web search data, psychological scientists could test their research questions in real-life settings and at a large scale to expand the ecological validity and generalizability of the findings.

Quantifying the Trendiness of Trends.

News media often report that the trend of some public health outcome has changed. These statements are frequently based on longitudinal data, and the change in trend is typically found to have occurred at the most recent data collection time point-if no change had occurred the story is less likely to be reported. Such claims may potentially influence public health decisions on a national level. We propose two measures for quantifying the trendiness of trends. Assuming that reality evolves in continuous time, we define what constitutes a trend and a change in trend, and introduce a probabilistic Trend Direction Index. This index has the interpretation of the probability that a latent characteristic has changed monotonicity at any given time conditional on observed data. We also define an index of Expected Trend Instability quantifying the expected number of changes in trend on an interval. Using a latent Gaussian process model, we show how the Trend Direction Index and the Expected Trend Instability can be estimated in a Bayesian framework, and use the methods to analyse the proportion of smokers in Denmark during the last 20 years and the development of new COVID-19 cases in Italy from 24 February onwards.

Reddit and Google Activity Related to Non-COVID Epidemic Diseases Surged at Start of COVID-19 Pandemic: Retrospective Study.

BACKGROUND: Resources such as Google Trends and Reddit provide opportunities to gauge real-time popular interest in public health issues. Despite the potential for these publicly available and free resources to help optimize public health campaigns, use for this purpose has been limited. OBJECTIVE: The purpose of this study is to determine whether early public awareness of COVID-19 correlated with elevated public interest in other infectious diseases of public health importance. METHODS: Google Trends search data and Reddit comment data were analyzed from 2018 through 2020 for the frequency of keywords "chikungunya," "Ebola," "H1N1," "MERS," "SARS," and "Zika," 6 highly publicized epidemic diseases in recent decades. After collecting Google Trends relative popularity scores for each of these 6 terms, unpaired 2-tailed t tests were used to compare the 2020 weekly scores for each term to their average level over the 3-year study period. The number of Reddit comments per month with each of these 6 terms was collected and then adjusted for the total estimated Reddit monthly comment volume to derive a measure of relative use, analogous to the Google Trends popularity score. The relative monthly incidence of comments with each search term was then compared to the corresponding search term's pre-COVID monthly comment data, again using unpaired 2-tailed t tests. P value cutoffs for statistical significance were determined a priori with a Bonferroni correction. RESULTS: Google Trends and Reddit data both demonstrate large and statistically significant increases in the usage of each evaluated disease term through at least the initial months of the pandemic. Google searches and Reddit comments that included any of the evaluated infectious disease search terms rose significantly in the first months of 2020 above their baseline usage, peaking in March 2020. Google searches for "SARS" and "MERS" remained elevated for the entirety of the 2020 calendar year, as did Reddit comments with the words "Ebola," "H1N1," "MERS," and "SARS" (P<.001, for each weekly or monthly comparison, respectively). CONCLUSIONS: Google Trends and Reddit can readily be used to evaluate real-time general interest levels in public health-related topics, providing a tool to better time and direct public health initiatives that require a receptive target audience. The start of the COVID-19 pandemic correlated with increased public interest in other epidemic infectious diseases. We have demonstrated that for 6 distinct infectious causes of epidemics over the last 2 decades, public interest rose substantially and rapidly with the outbreak of COVID-19. Our data suggests that for at least several months after the initial outbreak, the public may have been particularly receptive to dialogue on these topics. Public health officials should consider using Google Trends and social media data to identify patterns of engagement with public health topics in real time and to optimize the timing of public health campaigns.

The Trend of the Burden of Allergic Rhinitis Pre- and Post-COVID-19 Pandemic in the Urban Population of Perak, Malaysia.

Aims: This study aims to determine the trend of allergic rhinitis (AR) prevalence in a tertiary hospital between 2017 and 2022, and to compare its prevalence pre- and post-COVID-19 pandemic. Methods: This was a cross-sectional study involving the extraction of all Malaysian patients' medical records who were diagnosed with AR and attended the otorhinolaryngology outpatient clinic of a government-funded tertiary hospital in Malaysia between 2017 and 2022. Results: 3,744 cases out of the 57,968 first-encounter outpatient visits to the otorhinolaryngology clinic were extracted for analysis. Overall, the prevalence of AR cases ranged from 1.83 to 9.23% between 2017 and 2022. There was a significant drop of 21.38 to 70.22% between the pre- and post-COVID-19 pandemic (p < 0.001). Males (0.34 to 1.60%) were more prevalent in the 6 to 18 year old than females (0.09 to 1.23%). The trend shifted with age, whereby females (0.50 to 2.45%) experienced a higher prevalence than males (0.21 to 1.77%) as they aged from 19 to 59. The Malay (1.01 to 4.59%) demonstrated a two-time higher prevalence than the Chinese (0.30 to 2.01%) and Indian (0.40 to 2.14%) ethnicities. After stratifying by gender and ethnicity, Indian women (0.17 to 1.09%) had a higher rate of AR than their Chinese counterparts (0.12 to 0.99%) across all years. Conclusion: The AR prevalence consistently ranged from 8.14 to 9.23% pre-pandemic. A remarkable drop was observed post-pandemic, ranging from 1.83 to 6.40%. A gender shift from male to female predominance as age progressed. The Malay had the highest prevalence of AR.

Bibliometric analysis of treating COVID-19 with combined traditional Chinese and western medicine based on citespace

Objective: This study focused on the systematic literature measurement and visual analysis of treating COVID-19 with combined Chinese and Western medicine to explore the development status, research hot spots and trends, and cutting-edge dynamics. It provides data, information support, and development references for treating COVID-19with combined Chinese and Western medicine. Methods: Three major databases of China National Knowledge Infrastructure(CNKI), Wanfang Data, and China Science and Technology Journal Database were used as data sources to retrieve the relevant literature on the combined Chinese and Western medicine for the treatment of COVID-19 from March2019 to March 2022. Statistical analysis was performed using bibliometric methods and CiteSpace software. Visual analysis was performed on publishing trends, research institution cooperation, author cooperation, keyword co-occurrence and clustering, and research hotspots. Results: A total of 476 articles were included in this study, with the largest number published in 2020. Statistical analysis of published units showed that the cooperative relationship between institutions was discrete, indicating that the research on treating novel coronavirus with combined Chinese and western medicine was extensive. Hot spots in the research were mainly reflected in four aspects:coronavirus, diagnosis and treatment plan, combined Chinese and Western medicine, and epidemic prevention and control. Conclusion: The research theme of treating COVID-19 with combined Chinese and Western medicine dynamically changes with the epidemic development, which is guided by clinical efficacy. It mainly focuses on the formulation of diagnosis and treatment plans. The cooperation between authors and institutions is insufficient, and communication needs to be further strengthened.

THE SWEDISH OSTEOARTHRITIS REGISTRY. TRENDS IN SWEDISH OSTEOARTHRITIS HEALTH CARE BETWEEN 2008- 2021

BackgroundIn 2012 the Swedish national guidelines for osteoarthritis (OA) were published. The guidelines implicit that all patients with OA should obtain information and supervised exercise as first-line intervention and that OA is a clinical, not radiological diagnosis. The Swedish OA registry contains data which measure compliance to the guidelines since 2008 [2].ObjectivesTo describe the trends over time from 2008 to 2021 for patients who have received first-line interventions for hip and knee OA in Sweden and adherence of the healthcare staff to the national guidelines.MethodsDescriptive registry-based study including patients with hip or knee OA who participated in first-line interventions including education and exercise. Data were extracted from the Swedish OA registry between January 1st, 2008, and December 31, 2021. The registry contains patient-reported outcomes and physiotherapist-reported outcomes. In this study the following physiotherapist-reported outcomes were described over time: radiological examination before first-line intervention, if the first-line intervention was given the first time the patient seek health care caused of OA, which explanation patients had been given about their disease, intake of painkillers before the start of first-line intervention and the percent who got supervised exercise >10 times according to the guidelines of OA in Sweden. The following patient-reported outcomes were described over time: mean BMI at the first visit, and mean age at the first visit. To be included in the study, participants had to meet the following criteria: i) clinical diagnosis of OA, with hip or knee OA as the most symptomatic joint, ii) provided 3-month follow-up.ResultsA total of 175 764 participants with hip or knee OA were included in the study.The trends from 2008-2021 showed that the proportion of patients who had a radiological examination before entering the first-line intervention decreased from 97 % to 65 % in men and from 95% to 62 % in women. The proportion of patients who get assess to first-line intervention the first time they seek for their symptoms increased from 4 % to 10 % both in men and women. People that get the correct information about OA increased from 15% to 40 %, and patients that get the explanation that OA was a tear and wear disease decreased from 30 % to 5%. The mean BMI (28) is unchanged over time. The mean age increased from 64 years to 67 years between 2008-2020 but decreased during the covid-19 pandemic to 64 years. The percentage that was given supervised exercise more than 10 times was constant between 2012-2020 at 30 % but decreased during the covid-19 pandemic to 20%.ConclusionThe results implicit that the implementation of a supported OA self-management program in Sweden has been successful and changed the care given to patients with OA in Sweden. However, the national guidelines for OA, have still not been fully implemented. We need to keep implementing the guidelines so all patients with OA get the first-line intervention at the right time.References[1]Anon. (2012). Nationella riktlinjer för rörelseorganens sjukdomar 2012 - stöd för styrning och ledning. Socialstyrelsen.[2]Thorstensson CA, Garellick G, Rystedt H, Dahlberg LE. Better Management of Patients with Osteoarthritis: Development and Nationwide Implementation of an Evidence-Based Supported Osteoarthritis Self-Management Programme. Musculoskeletal Care. 2015 Jun;13(2):67-75. doi: 10.1002/msc.1085. Epub 2014 Oct 24. PMID: 25345913.Acknowledgements:NIL.Disclosure of InterestsNone Declared.

Recent Trends in Remote Healthcare Applications and Futuristic Approach

Remote healthcare is a well-accepted telemedicine service that renders efficient and reliable healthcare to patients suffering from chronic diseases, neurological disorders, diabetes, osteoporosis, sensory organs, and other ailments. Artificial intelligence, wireless communication, sensors, organic polymers, and wearables enable affordable, non-invasive healthcare to patients in all age groups. Telehealth services and telemedicine are beneficial to people residing in remote locations or patients with limited mobility, rehabilitation treatment, and post-operative recovery. Remote healthcare applications and services proved to be significant during the COVID-19 pandemic for both patients and doctors. This study presents a detailed study of the use of artificial intelligence and the internet of things in applications of remote healthcare in many domains of health, along with recent patents. This research also presents network diagrams of documents from the Scopus database using the tool VOSViewer. The paper highlights gap which can be undertaken by future researchers. © 2023 IEEE.

THE IMPACT OF DIGITAL MARKETING ON THE DEVELOPMENT OF TOURISM IN REPUBLIC OF ALBANIA

The tremendous growth of tourism in Albania in recent decades, made important the understanding of the role that digital marketing and mobile technology is playing in this field. Tourism in Albania is one of the most important economic sectors of the country, and is growing year after year. It is emphasized that digitalization is a new form of communication between producers and consumers of tourism services, becoming a source of competitive advantages for tourism organizations. The main goal of the study is to give us a clear overview of the use of the Internet, information technologies and digital marketing in Albania. For the realization of this study, we used a methodology that combines primary data with secondary ones. The research was conducted through questionnaires that were sent to Albanian travel agencies via email. The questionnaire contains 17 questions, and was sent to 150 travel agencies, of which 102 agencies responded. Regarding the study, digital marketing plays an important role in improving the image of Albanian tourism throughout the world. It has created facilities in the way of doing marketing and reducing the costs of businesses. Through digital marketing, travel agencies have managed to promote our country online, personalize services and, above all, be closer to customers. The research found that the most effective digital marketing tools used by the agencies are Instagram and Facebook.

Economy and diversity of aquaculture production in Bulgaria: status and trends

Aquaculture production in Bulgaria has increased over the last decade, reaching 16 442 tonnes in 2019. Fish production has doubled in comparison with 2007, while that of mussels has increased tenfold. The Bulgarian contribution to EU aquaculture production has been increasing significantly in both volume and value over the years, making up 1.15% of the volume and 1.0% of the value of EU production in 2019. Freshwater aquaculture accounts for 78% of total production. Common carp dominates with about 29.4% (4836 t), followed by rainbow trout with 29.2% (4820 t) in 2019. The cultivation of sturgeon species and caviar production are among the most dynamically developing aquaculture segments. Mariculture in the Black Sea has increased in recent years, with the production of Mediterranean mussel reaching 2932 tonnes in 2019. An average of 405 farms operated during the period 2010-2019. Four regions (Plovdiv, Stara Zagora, Burgas and Montana) account for 50% of the total fish production. Pond aquaculture is the dominant technology used in Bulgaria, and it serves as the basis for numerous other activities, including management of fish stocks in various water bodies mainly for recreational fishing. Approximately 35 net-cage farms currently operate in bigger dams. Recirculating fish farms output made up only 0.15% of the total amount of aquaculture for the period 2010-2019. The aquaculture sector exhibited difficulties in recovering from the financial crisis of 2007-2008, manifested by a slow growth for the period 2010-2014. From 2015 to 2019 there has been a significant growth, manifested in a sharp increase of total revenue and profitability, especially among the larger enterprises in the sector, as well as an increase in the number of employees, and the labour productivity. As a result, in 2019 the registered total revenue per enterprise and total revenue per employee were more than double the respective figures for 2010. The profits of larger enterprises increased more than three times on average, but smaller entities, micro-enterprises with less than 5 employees, operated at the border line between profit and loss. The COVID-19 crisis could have lasting consequences. Despite EUR 1.2 million direct payments in the sector in 2020, there has been a significant drop in the export of aquaculture products. Consumption of fish and other aquaculture products remains low compared to those in the other EU countries.

Analyzing the research trends of COVID-19 using topic modeling approach

PurposeThe COVID-19 pandemic has impacted 222 countries across the globe, with millions of people losing their lives. The threat from the virus may be assessed from the fact that most countries across the world have been forced to order partial or complete shutdown of their economies for a period of time to contain the spread of the virus. The fallout of this action manifested in loss of livelihood, migration of the labor force and severe impact on mental health due to the long duration of confinement to homes or residences.Design/methodology/approachThe current study identifies the focus areas of the research conducted on the COVID-19 pandemic. s of papers on the subject were collated from the SCOPUS database for the period December 2019 to June 2020. The collected sample data (after preprocessing) was analyzed using Topic Modeling with Latent Dirichlet Allocation.FindingsBased on the research papers published within the mentioned timeframe, the study identifies the 10 most prominent topics that formed the area of interest for the COVID-19 pandemic research.Originality/valueWhile similar studies exist, no other work has used topic modeling to comprehensively analyze the COVID-19 literature by considering diverse fields and domains.

Keeping Europe's Medicines Stocked

[...]best-in-class pharma companies are focusing on reliability and resilience in the supply chain-if they can't make a product or deliver a product on time, a patient is not served, and no sale is made. People can scale to a certain degree but scaling by a factor of 100 is not possible with people in a short period of time and does not deliver on economies of scale. Pharma companies are also issuing 'green bonds' where investors can expect the contribution of capital to improve the company's sustainability.

Getting Proactive with Pharma Packaging

According to market research, the pharmaceutical packaging sector is expected to grow at a compound annual rate of 7.4% between 2022 and 2031, reaching an estimated USS178.8 billion (€171.8 billion) by the end of the forecast period (1). "Pharmaceutical waste continues to be a huge problem, so to eliminate non-biodegradable and single-use plastics from the supply chain, more research is taking place around bio-based PET [polyethylene terephthalate]. "By designing a product's primary and secondary packaging well from the outset (including investing ample resources into the process), manufacturers can reduce the amount of materials used and wasted, test new eco materials, ensure safety compliance and efficacy, and benefit from cheaper transportation costs," Quelch surmises. [...]pharma companies can benefit from a packaging supplier with a true global footprint," he says.

Cold Comfort for Bio/Pharma

The COVID-19 pandemic highlighted how vital cold chain is for the pharmaceutical industry, particularly as some vaccines needed to be produced, transported, and stored at -70 °C. Market projections for cold chain logistics of pharmaceuticals are projected to grow at a compound annual growth rate of 9.03% by 2025, which is reported to be driven by greater global demand for pharmaceuticals, increasing initiatives to promote cold chain, and more demand for reefer containers from the pharma industry (1). Gilmore (Tower Cold Chain): Putting the European success of the COVID-19 vaccine rollout to one side, the demand for effective temperature-controlled packaging solutions in the pharmaceutical supply chain has increased significantly in recent years. Today, the cold chain is grappling with additional challenges: serving a global market, driving out costs and waste, addressing capacity and resource constraints, and dealing with continually mounting regulations-all whilst handling valuable pharmaceutical cargo. Cold chain logistics providers must invest in the latest on-board equipment built into containers to track temperature and location, and to make data available to partners and customers in real time, to prevent or mitigate loss.