bims-librar Biomed News
on Biomedical librarianship
Issue of 2021‒10‒03
nineteen papers selected by
Thomas Krichel
Open Library Society

  1. Health Info Libr J. 2021 Oct 01.
      The newly-formed Knowledge Management team at Health Education England (HEE) established an internal "Search Club" for their Knowledge Specialists to share good practice, exchange ideas, and discuss approaches to developing search strategies. The article describes how this was initiated and run online. The sessions improved the Knowledge Management team skills, and gave them an opportunity to share and learn from each other. A further benefit has been the creation of resources such as a "synonyms bank", search strategies, and a bank of grey literature sources. These reduce duplication of effort, save time, and improve consistency across the team's output. D.I.
    Keywords:  collaboration; grey literature; literature searching; peer searching; professional development; search strategies
  2. IEEE Trans Vis Comput Graph. 2021 Sep 29. PP
      There are a few prominent practices for conducting reviews of academic literature, including searching for specific keywords on Google Scholar or checking citations from some initial seed paper(s). These approaches serve a critical purpose for academic literature reviews, yet there remain challenges in identifying relevant literature when similar work may utilize different terminology (e.g., mixed-initiative visual analytics papers may not use the same terminology as papers on model-steering, yet the two topics are relevant to one another). In this paper, we introduce a system, VITALITY, intended to complement existing practices. In particular, VITALITY promotes serendipitous discovery of relevant literature using transformer language models, allowing users to find semantically similar papers in a word embedding space given (1) a list of input paper(s) or (2) a working abstract. VITALITY visualizes this document-level embedding space in an interactive 2-D scatterplot using dimension reduction. VITALITY also summarizes meta information about the document corpus or search query, including keywords and co-authors, and allows users to save and export papers for use in a literature review. We present qualitative findings from an evaluation of VITALITY, suggesting it can be a promising complementary technique for conducting academic literature reviews. Furthermore, we contribute data from 38 popular data visualization publication venues in VITALITY, and we provide scrapers for the open-source community to continue to grow the list of supported venues.
  3. Healthcare (Basel). 2021 Sep 04. pii: 1159. [Epub ahead of print]9(9):
      (1) Background: During the COVID-19 pandemic, users share and obtain COVID-19 information through video platforms, but only a few COVID-19 videos become popular among most audiences. Therefore, it is a very interesting and important research question to explore the influencing factors of the popularity of COVID-19 videos during the COVID-19 pandemic; (2) Our research collects video data related to the keyword "COVID-19" on video platform, the data are analyzed by content analysis and empirical analysis. We then constructed a theoretical model based on the information adoption model; (3) A total of 251 videos were divided into three categories. The least common category was the data and analysis category (11.2%), followed by the prevention and control status category (13.5%); the knowledge and general science category was the most common (75.3%). From the perspective of video quality, the information sources of most videos are relatively reliable, and the content of medical information is low. The research results showed that short video lengths, longer descriptions, more reliable video sources and lower medical information content were more popular with audiences. Audiences are more likely to be attracted to videos in the prevention and control status category and knowledge and general science category. Videos uploaded by uploaders who have a higher influence are more popular with audiences; (4) Conclusions: During the COVID-19 pandemic, information quality (video length, description length, video content type, and medical information and content index) and source credibility (information source reliability, influence and certification type) all significantly influence the popularity level of COVID-19 videos. Our research conclusions can provide management suggestions for the platform, make videos released by uploaders more popular with audiences, and help audiences better understand COVID-19 information and make prevention and control efforts.
    Keywords:  COVID-19; information adoption model; public health emergency; text analysis
  4. JMIR Public Health Surveill. 2021 Sep 18.
      BACKGROUND: Due to the COVID-19 pandemic, health information related to COVID-19 has spread across the news media worldwide. Google is among the most used Internet search engines, and the Google Trends tool can reflect how the public seek COVID-related health information during this period.OBJECTIVE: To understand health communication through Google Trends and news coverage and to explore their relationship with prevention and control of COVID-19 in the early epidemic stage.
    METHODS: To achieve the study objectives, we analyzed the public's information-seeking behaviors on Google and news media coverage on COVID-19. We collected data on COVID-19 news coverage and Google search queries for eight countries (United States, United Kingdom, Canada, Singapore, Ireland, Australia, South Africa, and New Zealand) between January 1, 2020 and April 29, 2020, and depicted the characteristics of the trend of news coverage on COVID-19 over time, as well as the search queries trends on the topics of COVID-19 related diseases, treatments and medical resources, symptoms and signs, and public measures. And the search queries trend provided relative search volume (RSV) as an indicator to represent the popularity of a specific search term in a specific geographic area over a period. Also, time-lag correlation analysis was used to further explore the relationship between the trend of search terms and the number of daily new cases, the relationship between search terms trends and news coverage.
    RESULTS: Across all search trends in eight countries, almost all search peaks were formed between March and April 2020, and declined occurred in April 2020. Regarding COVID-19 related diseases, in most countries, the RSV of "coronavirus" increased earlier than "covid-19", but around April 2020, the search volume of "covid-19" surpassed "coronavirus". For treatments and medical resources, the most and least searched terms were "mask" and "ventilator", respectively. In the topic of symptoms and signs, "fever" and "cough" were the most searched terms. And the RSV of "lockdown" was significantly more than "social distancing" on the topic of public measures. Besides, when combining the search trends with news coverage, there were three main patterns: the United States pattern, the Singapore pattern, and the other-countries pattern. In the time-lag correlation analysis between the RSV of the topic "Treatment and medical resources" and the number of daily new cases, except for Singapore, the RSV of this topic were positively correlated with daily new cases in other countries, with the maximum correlation of 0.8 (United States). And in the time-lag correlation analysis between the overall RSV of "Diseases" and the number of daily news, the overall RSV of this topic were positively correlated with the number of daily news, the maximum correlation coefficient was more than 0.8, and the search behavior was 0-17 days earlier than the news coverage.
    CONCLUSIONS: Our findings revealed public interest in masks, disease control, and public health measures, and revealed the potential value of Google Trends in the face of the emergence of new infectious diseases. Also, Google Trends combined with news media can achieve more efficient health communication. Therefore, both news media and Google Trends contribute to the early prevention and control of the epidemic.
  5. Explor Res Clin Soc Pharm. 2021 Jun;2 100035
      Background: Video-sharing platforms are a common source for health information such as Coronavirus Disease 2019 (COVID-19) vaccines. It is important that they provide good quality, evidence-based information. However, to date, the quality of information surrounding COVID-19 vaccines on video-sharing platforms has not been established.Objective: This study developed an assessment tool to evaluate the quality of Coronavirus Disease 2019 (COVID-19) vaccine videos on YouTube, Facebook Watch and TikTok.
    Methods: Assessment of quality was based on understandability, actionability, accuracy, comprehensiveness and reliability. Videos were searched using the keywords "COVID-19 vaccine", "Coronavirus vaccine" and "SARS-CoV-2 vaccine". Seventy-two videos were evaluated. Descriptive statistics, Kruskal-Wallis and Wilcoxon-rank sum tests were used for analysis.
    Results: YouTube had the highest median composite score compared to TikTok (36.8% versus 27.5%, p = 0.001). YouTube also had the highest median reliability score (37.5%), but those of Facebook Watch (35.0%) and TikTok (35.0%) were only marginally lower. Median accuracy scores of all platforms were 100%, but their median comprehensiveness scores were low (YouTube 12.5%; Facebook Watch 6.3%; TikTok 6.3%, p = 0.004). Median actionability scores (0%) were the lowest for all platforms. TikTok had the highest median understandability score compared to YouTube and Facebook Watch (96.9% versus 80.0 each, p < 0.001).
    Conclusion: The overall quality of videos on all video-sharing platforms were low. All platforms provided accurate COVID-19 vaccine information, but TikTok videos were the most understandable. Most videos did not provide full details about COVID-19 vaccines, thus viewers would need to watch several videos before making a better-informed decision.
    Keywords:  COVID-19 vaccines; Facebook Watch; Information quality; TikTok; Video-sharing platforms; YouTube
  6. Facial Plast Surg Aesthet Med. 2021 Sep 29.
      Background: During online search queries, Google uses machine learning algorithms to provide frequently associated ("People Also Ask" [PAA]) questions with corresponding websites answering the question. We aimed to identify the most frequent questions about rhinoplasty asked online and the sources used to answer them. Materials and Methods: PAA questions were extracted for the terms "rhinoplasty," "nose surgery," and "nose job." Questions were categorized into specific topics. Websites were categorized by type and assessed for quality using Journal of the American Medical Association (JAMA) benchmark criteria. A search engine optimization tool determined search volume for individual questions and specific topics. Results: Internet searches for the PAA questions (n = 102) and associated websites were related to preoperative factors (46%), cost (35.7%), and recovery timeline (7.3%). Sources for the answers to PAA questions were single surgeon personal (39.3%) and medical practice (20.6%) websites. Conclusions: Surgeons may wish to emphasize specific patient education topics, including preoperative factors, cost, and recovery timeline, on their websites to address the most frequently sought-after information regarding rhinoplasty online.
  7. Facial Plast Surg. 2021 Sep 28.
      There is a large demand for online patient information for patients considering rhinoplasty. While there are many resources available, the quality and content of the information provided are unknown. This study aimed to assess the quality of the most popular information available online, using the "Ensuring Quality Information for Patients" (EQIP) tool to evaluate the content, structure, and readability of patient information on websites. Search terms including nose operation, nose job, nose reshaping, nose tip surgery, rhinoplasty, septorhinoplasty, were identified using Google AdWords and Trends. Unique links from the first 10 pages for each term were identified and evaluated with websites written in English and for general non-medical public use were included. 295 websites met the eligibility criteria with a median overall EQIP score of 17. Only 33% contained balanced information on the risks and benefits. Bleeding and infection risk was only mentioned in 29% and 27% of websites, respectively. Two percent described complication rates of the procedures and only 20% of articles explained further surgery may be required to achieve patient cosmetic or functional satisfaction. Information regarding rhinoplasty available online is currently of poor quality. The lack of effective risk counselling, possible outcome management, and complications may likely lead to unrealistic expectations of rhinoplasty. It is crucial the risks of surgery are communicated to the patient to ensure they can make an informed decision. Improved education through online resources would likely help to promote more realistic patient expectations.
  8. Fam Med. 2021 Sep;53(8): 670-675
      BACKGROUND AND OBJECTIVES: Online publication of prereviewed manuscripts disseminates research simultaneously to scientists, clinicians, and patients, enabling the media and public to act as scientific reviewers for studies that are not yet endorsed by the scientific and clinical community. This study describes the reach of prereview literature and frames it within the pursuit to teach evidence-based medicine.METHODS: In this deductive content analysis, the primary unit of analysis was the individual preprint manuscript submitted to the medRxiv preprint server during the emergence of the COVID-19 pandemic. The coding scheme included study design, negative or positive findings, dissemination status (whether it was withdrawn from the server or eventually published), and three levels of reach: user engagement, news media coverage, and social media engagement.
    RESULTS: Prereviewed manuscripts describe a variety of study methods. Dissemination status was significantly related to abstract views, manuscript views, news coverage, and social media exposure. Studies with negative findings had higher counts of abstract views, manuscript views, and news coverage, but no significant relationships were detected.
    CONCLUSIONS: Results demonstrate that not only are scientists publishing negative findings, but that those studies reach a wide audience. Notably, eventually-withdrawn manuscripts, potentially containing incomplete or uncertain science, is reaching the public domain. Increasingly, family physicians will need to critically appraise emerging literature before it is peer reviewed, whether they encounter it in their own searches or when a patient presents information they found before an appointment.
  9. Cancers (Basel). 2021 Sep 07. pii: 4508. [Epub ahead of print]13(18):
      BACKGROUND: Online information gathering can increase patients' engagement in decision-making. The quality of online resources available for monoclonal gammopathy of undetermined significance (MGUS) was evaluated.METHODS: 900 websites from Google, Bing, Yahoo, and 150 YouTube videos were assessed.
    RESULTS: The websites did not differ regarding their search rank or between the search engines. The median time since last update was 24 months. The 86 unique websites showed a medium to poor general quality (JAMA score 3/4, only 8.1% websites with a valid HON certificate). The patient- (user-) focused quality was poor (sum DISCERN score 27/80 points). The reading level was difficult (11th US school grade). The content level was very low (13/50 points). 12.8% of websites contained misleading/wrong facts. Websites provided by scientific/governmental organizations had a higher content level. For the 61 unique videos, the median time since upload was 34 months. The videos showed a medium general quality (HON Foundation score). The patient- (user-) focused quality was poor (sum DISCERN score 24 points). The content level was very low (6 points).
    CONCLUSION: MGUS-relevant online sources showed a low quality that was provided on a high reading level. Incorporation of quality indices and regular review of online content is warranted.
    Keywords:  monoclonal gammopathy of undetermined significance (MGUS); online health information; patient education
  10. Dermatitis. 2021 Sep 27.
      BACKGROUND: Contact dermatitis (CD) causes significant impact on patient quality of life. It is the most common occupational skin disease, accounting for more than US $1 billion of medical costs. Patch testing (PT) is the criterion standard for diagnosis of allergic CD. Patients are increasingly using the Internet to obtain health information; however, the readability, quality, and timeliness of online health resources for CD and PT are unknown.OBJECTIVE: The objective was to determine the readability, quality, and timeliness of the most frequently accessed patient online health resources for CD and PT.
    METHODS: A Google search was performed on March 20, 2021, using the terms "contact dermatitis," "contact eczema," "patch testing," and "patch test." Websites were evaluated using several well-validated tools/criteria.
    RESULTS: Contact dermatitis and PT websites had only 2 of the 48 websites combined that met the recommended sixth-grade reading level for patients, with the majority characterized as "very poor" to "fair" quality. There was no correlation found between quality and readability of the CD and PT websites.
    CONCLUSIONS: There is a need for improvement of online CD and PT health resources. Dermatologists should take the lead to vet websites and enhance online resources to improve patient care.
  11. Curr Oncol. 2021 Sep 06. 28(5): 3420-3429
      As multiple different treatment options are available for prostate cancer (PCa) and YouTube is commonly used as a source for medical information, we performed a systematic and comparative assessment of available videos guiding patients on their choice for the optimal treatment. An independent search for surgical therapy or radiotherapy of PCa on YouTube was performed and the 40 most viewed videos of both groups were analyzed. The validated DISCERN questionnaire and PEMAT were utilized to evaluate their quality and misinformation. The median overall quality of the videos was found to be low for surgery videos, while radiotherapy videos results reached a moderate quality. The median PEMAT understandability score was 60% (range 0-100%) for radiotherapy and 75% (range 40-100) for surgery videos. The radiotherapy videos contained less misinformation and were judged to be of higher quality. Summarized, the majority of the provided videos offer insufficient quality of content and are potentially subject to commercial bias without reports on possible conflict of interest. Thus, most of available videos on YouTube informing PCa patients about possible treatment methods are not suited for a balanced patient education or as a basis for the patient's decision.
    Keywords:  YouTube; online education; patient information; prostate cancer; radiotherapy; surgery
  12. Rheumatol Int. 2021 Sep 29.
      In this study, we aimed to investigate the reliability and quality of YouTube videos concerning Behçet disease, for the first time in the literature. The most viewed 50 YouTube videos about Behçet disease were included. Study data used in the analysis included video length, image type, video content, uploaders, time since the date of upload, the number of total views, daily views, and the numbers of like, dislike and comments. The Video Power Index was used to determine popularity of the videos. Reliability and quality of the videos were evaluated using DISCERN and Global Quality Scale (GQS) instruments. The examined YouTube videos were divided into two groups as uploaded by professionals (physicians, health and hospital channels, institutions and societies) and non-professionals (patients, social organizations, others). Twenty-three (46%) videos were uploaded by professionals. The mean DISCERN score was found as 3.98 ± 0.77 in the videos uploaded by healthcare professionals and 2.83 ± 0.64 in those uploaded by non-professionals (p < 0.01). The mean GQS score was found as 4.09 ± 0.72 in the videos uploaded by healthcare professionals and 3.41 ± 0.69 in those uploaded by non-professionals (p < 0.01). 46% of the videos were of low-to-moderate reliability and 56% of low-to-moderate quality. Nearly half of the YouTube videos concerning Behçet disease were uploaded by non-physician sources with poor reliability and quality. Physicians should be encouraged to upload more professional videos to help and guide patients appropriately. YouTube videos should be subjected to an objective evaluation for content quality before they can be published.
    Keywords:  Behçet disease; DISCERN; Global Quality Scale; Quality; Reliability; YouTube
  13. Acta Cardiol Sin. 2021 Sep;37(5): 534-541
      Background: YouTube (YouTube, LLC, San Bruno, CA, USA) is an easily accessible and increasingly popular source of information on health-related issues. This study evaluated the scientific content and quality of English-language echocardiography videos posted to this Internet platform.Methods: For this study, 583 videos were identified and evaluated following a YouTube search using the keyword 'echocardiography' in July 2020. A total of 92 videos were included in this study following the application of the study exclusion criteria. Both video quality and scientific content were evaluated based on the DISCERN score, global quality score, content score, and total quality score (TQS), which was calculated by adding the scores of the three aforementioned scoring systems.
    Results: The median duration of the included videos was 315 seconds (interquartile range: 173-852 seconds). The median number of views was 33046 (interquartile range: 7445-89012). Twenty-four (26.08%), 43 (46.73%) and 25 (27.17%) videos, respectively, were stratified into the following three groups based on TQS values: group 1 (5-7 points), group 2 (8-11 points) and group 3 (12-14 points). The values of views (median: 45072), video duration (median: 474), power index (median: 80250) and popularity (median: 34) were significantly higher in group 3 than in the other groups. The duration that a video was online was statistically significantly higher in group 1.
    Conclusions: The results suggest that YouTube is an important tool for easily sharing health-related information and disseminating it to large audiences. It can be concluded from the growing interest in videos with scientific content and the high quality scores recorded that YouTube offers accurate and quality information about echocardiography.
    Keywords:  Echocardiography; Quality; Social network; YouTube
  14. Minim Invasive Surg. 2021 ;2021 2462832
      Background: Surgical patients frequently seek information from digital sources, particularly before common operations such as laparoscopic cholecystectomy (LC). YouTube provides a large amount of free educational content; however, it lacks regulation or peer review. To inform patient education, we evaluated the quality of YouTube videos on LC.Methods: We searched YouTube with the phrase "laparoscopic cholecystectomy." Two authors independently rated quality of the first 50 videos retrieved using the JAMA, Health on the Net (HON), and DISCERN scoring systems. Data collected for each video included total views, time since upload, video length, total comments, and percentage positivity (proportion of likes relative to total likes plus dislikes). Interobserver reliability was assessed using an intraclass correlation coefficient (ICC). Association between quality and video characteristics was tested.
    Results: Mean video quality scores were poor, scoring 1.9/4 for JAMA, 2.0/5.0 for DISCERN, and 4.9/8.0 for HON. There was good interobserver reliability with an ICC of 0.78, 0.81, and 0.74, respectively. Median number of views was 21,789 (IQR 3000-61,690). Videos were mostly published by private corporations. No video characteristic demonstrated significant association with video quality.
    Conclusion: YouTube videos for LC are of low quality and insufficient for patient education. Treating surgeons should advise of the website's limitations and direct patients to trusted sources of information.
  15. J Pers Med. 2021 Sep 15. pii: 920. [Epub ahead of print]11(9):
      BACKGROUND: Prostate cancer (PC) is a major cause of disease and mortality among men. Surgical treatment involving the removal of the prostate may result in temporary or permanent erectile dysfunction (ED) and urinary incontinence (UI), with considerable impact on quality of life. Pelvic floor muscle training (PFMT) is one of the recommended techniques for the prevention, treatment, and rehabilitation of postoperative complications. The aim of this observational study was to assess the quality of YouTube videos-accessible to any patient-related to exercises after prostatectomy surgery.METHODS: A systematic search was performed on YouTube on 24 September 2020. One hundred and fifty videos were selected and analyzed. Two statistical analyses were conducted based on machine-learning techniques, and videos were classified as 'Relevant' or 'Non-Relevant' using Principal Component Analysis (PCA) models. Two reviewers conducted independent analyses. Inter-observer agreement and individual correlations of video data were evaluated with the Intraclass Correlation Coefficient (ICC). Information quality, reliability, and accuracy were measured using the DISCERN Scale and Global Quality Score (GQS), while video popularity was evaluated using the Video Power Index (VPI).
    RESULTS: DISCERN scored a mean of 3.35 and GQS scored 3.38. Average number of views was 124,354, mean duration was 14:42 min, mean days online was 1777, mean view ratio was 138.30, mean Likes was 1082, mean Dislikes was 68.58, and mean VPI was 92.28.
    CONCLUSIONS: The quality of the videos available on YouTube regarding the recommended pelvic floor exercises in PC surgery, according to the scores obtained, is High. Educational and health institutions, health professionals, government health authorities, and policy makers need to be involved in the proper development of policies to improve the information available on the web in order to have a positive impact on the healthy behavior of the population.
    Keywords:  YouTube; exercises; healthy behavior; pelvic floor; prostate cancer; urinary incontinence
  16. IEEE J Biomed Health Inform. 2021 Sep 30. PP
      Chemical-induced disease (CID) relation extraction from biomedical articles plays an important role in disease treatment and drug development. Existing methods are insufficient for capturing complete document level semantic information due to ignoring semantic information of entities in different sentences. In this work, we proposed an effective document-level relation extraction model to automatically extract intra-/inter-sentential CID relations from articles. Firstly, our model employed BERT to generate contextual semantic representations of the title, abstract and shortest dependency paths (SDPs). Secondly, to enhance the semantic representation of the whole document, cross attention with self-attention (named cross2self-attention) between abstract, title and SDPs was proposed to learn the mutual semantic information. Thirdly, to distinguish the importance of the target entity in different sentences, the Gaussian probability distribution was utilized to compute the weights of the co-occurrence sentence and its adjacent entity sentences. More complete semantic information of the target entity is collected from all entities occurring in the document via our presented document-level R-BERT (DocR-BERT). Finally, the related representations were concatenated and fed into the softmax function to extract CIDs. We evaluated the model on the CDR corpus provided by BioCreative V. The proposed model without external resources is superior in performance as compared with other state-of-the-art models (our model achieves 53.5%, 70%, and 63.7% of the F1-score on inter-/intra-sentential and overall CDR dataset). The experimental results indicate that cross2self-attention, the Gaussian probability distribution and DocR-BERT can effectively improve the CID extraction performance. Furthermore, the mutual semantic information learned by the cross self-attention from abstract towards title can significantly influence the extraction performance of document-level biomedical relation extraction tasks.
  17. Database (Oxford). 2021 Sep 29. pii: baab062. [Epub ahead of print]2021
      A keyword-based search of comprehensive databases such as PubMed may return irrelevant papers, especially if the keywords are used in multiple fields of study. In such cases, domain experts (curators) need to verify the results and remove the irrelevant articles. Automating this filtering process will save time, but it has to be done well enough to ensure few relevant papers are rejected and few irrelevant papers are accepted. A good solution would be fast, work with the limited amount of data freely available (full paper body may be missing), handle ambiguous keywords and be as domain-neutral as possible. In this paper, we evaluate a number of classification algorithms for identifying a domain-specific set of papers about echinoderm species and show that the resulting tool satisfies most of the abovementioned requirements. Echinoderms consist of a number of very different organisms, including brittle stars, sea stars (starfish), sea urchins and sea cucumbers. While their taxonomic identifiers are specific, the common names are used in many other contexts, creating ambiguity and making a keyword search prone to error. We try classifiers using Linear, Naïve Bayes, Nearest Neighbor, Tree, SVM, Bagging, AdaBoost and Neural Network learning models and compare their performance. We show how effective the resulting classifiers are in filtering irrelevant articles returned from PubMed. The methodology used is more dependent on the good selection of training data and is a practical solution that can be applied to other fields of study facing similar challenges. Database URL: The code and date reported in this paper are freely available at
  18. Biol Conserv. 2021 May;257 109078
      Emerging zoonotic diseases, such as COVID-19, exist at the intersection of human health and the environment. Public interest and support are required to maximize the effectiveness of policies to combat the current pandemic and prevent future outbreaks of zoonoses. Here, we use internet search data from the United States to investigate changes in public information seeking about topics at the intersection of health and the environment during the COVID-19 pandemic. Using breakpoint detection methods, we identify sharp increases in interest for 'wildlife trade', 'bats', and 'pangolins' in the early stages of the pandemic (on Jan. 12, Jan. 19, and Jan. 26, 2020, respectively). Network analyses also revealed increasing connectivity between terms related to human health and the environment, as well as the emergence of novel search terms pointing to a greater interest in wildlife trade and consumption. During the pandemic, the network connectivity between coronavirus keywords and conservation keywords increased, which we measured using the number of unique connections (edge connectivity, k' (G)) and the number of simple paths (Sp) between keywords. Both measures of network connectivity increased between 'coronavirus' and 'bats' or 'pangolins' (Δk' (G) = 1, ΔSp = 37), and between 'coronavirus' and 'conservation' (Δk' (G) = 1, ΔSp = 160). These findings suggest that policy and outreach efforts aimed at engaging public interest in intersectional approaches to pandemic prevention (eg: One Health, Planetary Health), may be able to take advantage of increases in public information seeking following catalyzing events during the pandemic. Further monitoring is needed to determine if these changes persist over time.
    Keywords:  Google Trends; One Health; Pandemic; Planetary health; Species conservation; Wildlife trade