Public Information Sources Research Articles

Evaluation of validity and reliability of AI Chatbots as public sources of information on dental trauma.

This study aimed to assess the validity and reliability of AI chatbots, including Bing, ChatGPT 3.5, Google Gemini, and Claude AI, in addressing frequently asked questions (FAQs) related to dental trauma. A set of 30 FAQs was initially formulated by collecting responses from four AI chatbots. A panel comprising expert endodontists and maxillofacial surgeons then refined these to a final selection of 20 questions. Each question was entered into each chatbot three times, generating a total of 240 responses. These responses were evaluated using the Global Quality Score (GQS) on a 5-point Likert scale (5: strongly agree; 4: agree; 3: neutral; 2: disagree; 1: strongly disagree). Any disagreements in scoring were resolved through evidence-based discussions. The validity of the responses was determined by categorizing them as valid or invalid based on two thresholds: a low threshold (scores of ≥ 4 for all three responses) and a high threshold (scores of 5 for all three responses). A chi-squared test was used to compare the validity of the responses between the chatbots. Cronbach's alpha was calculated to assess the reliability by evaluating the consistency of repeated responses from each chatbot. The results indicate that the Claude AI chatbot demonstrated superior validity and reliability compared to ChatGPT and Google Gemini, whereas Bing was found to be less reliable. These findings underscore the need for authorities to establish strict guidelines to ensure the accuracy of medical information provided by AI chatbots.

Epidemiologic and clinical features of cyanobacteria harmful algal bloom exposures reported to the National Poison Data System, United States, 2010–2022: a descriptive analysis

BackgroundHarmful algal bloom occurrences have been increasingly reported globally and over time. Exposure to the variety of toxins and co-contaminants that may be present in harmful algal blooms can cause illness and even death. Poison control data is a valuable public health information source that has been used to characterize many types of toxin exposures, including harmful algal blooms. Prior studies have been limited by location and time, and knowledge gaps remain regarding cyanobacteria harmful algal bloom (cyanoHAB) exposure circumstances, and the breadth and severity of associated clinical effect.MethodsThe objective of this study was to characterize epidemiologic and clinical features of cyanoHAB exposure cases reported to 55 US poison control centers and available in the National Poison Data System (NPDS). We identified 4260 NPDS cyanoHAB exposure cases reported from 2010 to 2022, including symptomatic exposure cases with and without clinical effects related to the exposure and asymptomatic exposure cases. We assessed demographics; exposure routes, locations, chronicity; clinical effects; and medical outcomes. We calculated case rates annually and 13-year case rates by US geographic division.ResultsOver half of cyanoHAB exposure cases were children < 20 years old (n = 2175). Most cyanoHABs exposures occurred in a “public area” (n = 2902, 68.1%); most were acute (≤ 8 h) (n = 3824, 89.8%). Dermal and ingestion routes and gastrointestinal effects predominated. 2% (n = 102) of cases experienced a moderate or major medical outcome; no deaths were reported. National rates increased from 0.4 cases/1 million (1 M) person-years in 2010 to 1.4 cases/1 M person-years in 2022. The Mountain division had the highest 13-year rate (7.8 cases/1 M person-years).ConclusionsCyanoHAB exposure case rates increased 2010–2022, despite a decrease in all-cause exposure cases during the same period. NPDS data provide valuable public health information for characterization of cyanoHAB exposures, an emerging public health challenge.

Knowledge, Attitudes, and Practices in Bungkulan Buleleng Village Communities Related to the Implementation of COVID-19 Vaccination

Background: The contribution of the community through their knowledge, attitudes, and practices are essential to control COVID-19 through vaccination.Objectives: This study aims to analyze the relationship between knowledge, attitudes, and practices of the community related to implementing the COVID-19 vaccine.Methods: This observational study with a cross-sectional design was carried out from June to July 2023. Samples of 155 respondents were obtained through convenience sampling. Inclusion criteria include the community domiciled in Bungkulan Village, aged ≥18 years, and is willing to be involved in research, while respondents who didn’t fill in the complete questionnaire are excluded from research. Data was collected using self-developed offline questionnaire. The relationship of knowledge, attitudes, and practices was analyzed by multiple linier regression and Spearman-rho test (95% CI).Results: Findings showed that the majority of respondents were aged 25-29 years old (30.32%), male (76.13%), graduated from high school (65.16%), worked (89.68%), didn’t experience comorbidities (96.13%) and AESI (87.10%), lack of knowledge (53.29 ± 23.24) but has a good attitude (75.18 ± 11.55) and practices (84.06 ± 16.17) related to the implementation of the COVID-19 vaccination. There is a significant relationship between knowledge with attitudes (r = 0.352; p = &lt;0.001) and attitudes with practices (r = 0.257; p = &lt;0.001), also knowledge and attitudes simultaneously influence the practice of Covid-19 vaccination (p=&lt;0.001).Conclusion: A person's attitudes and practices in a positive direction tend to begin with good knowledge. Strong sources of public health information and communication are necessary to develop good knowledge.

Quality and Reliability Analysis of Videos About Thulium Laser Enucleation of the Prostate on YouTube

ObjectivesTo assess the reliability and quality analyses of ThuLEP videos on YouTube, as a source of public information. Materials and methodsIn this study, a YouTube search with the keyword “ThuLEP” was performed on November 15, 2022 and 142 videos were listed according to relevance. Video features and source of upload were recorded. The quality of videos was evaluated by using both the Journal of American Medical Association (JAMA) score and the Global Quality Score(GQS); the reliability of videos was evaluated by using 5-point modified DISCERN tool,respectively. The correlation analysis was performed by using Spearman test between video features and these three scores. Results77 videos were analysed after exclusion and the most common source of upload were urologists (54.5%) and the videos containing only ThuLEP surgery (74%) were the majority of the videos. The median JAMA score, 5-point modified DISCERN score, and GQS were 2, 1, 1, respectively. There were no statistical differences in these three scores according to the source of the upload. All three scores were analysed separately by language and no significant statistical difference was found.There was a positive correlation between the video power index and as well as JAMA, GQS and m. DISCERN scores. ConclusionsDespite abundant videos on ThuLEP on YouTube, most of these videos are not targeted to public and information provided may not be as useful for patients. Information presented in these videos may be inaccurate and not reliable.

Measuring the Decarbonisation Progress of Buildings Based on European Open Big Data

The European Commission (EC) has established climate neutrality by 2050 as one of its objectives. To achieve this, decarbonising the building stock is crucial since buildings are responsible for 36% of European greenhouse gas emissions. Monitoring the progress of decarbonisation is crucial to understand where we stand in terms of achieving long-term decarbonisation goals, facilitate evidence-based decision-making, promote accountability among member states (MS), and engage the public in these initiatives. However, data collection for monitoring the decarbonisation of buildings represents a challenge for MS, for which they may not be adequately prepared.To promote the collection and publication of open data, the EC has established frameworks for developing open data infrastructures within MS through various directives, offering comprehensive and well-organized information. Directives such as the Infrastructure for Spatial Information in Europe (INSPIRE), which advocates for the collection and accessibility of data in diverse topics, and the Energy Performance of Buildings Directive (EPBD), enabling the analysis of extensive information on the energy efficiency of constructed assets through the open publication of Energy Performance Certificates (EPC) databases, exemplify these efforts. However, this information often remains dispersed and narrowly focused, necessitating the integration of other data sources to extract meaningful insights.The paper delves into the benefits of georeferencing and automated cross-referencing of open data on buildings, enabling the monitoring of decarbonisation progress. To achieve this, we have developed a national-scale Urban Building Energy Model (UBEM) for Spain. This model is founded on EPCs and other open data derived from public information sources established through European directives. Additionally, we have investigated the prospect of integrating data from Digital Building Logbooks (DBL), which are emerging data repositories on buildings promoted by the EC in the forthcoming EPBD, into the UBEM to enhance the model.The study showcases significant potential in developing information on various topics, including characterising the Spanish building stock — a framework that may be extrapolated to other MS — in terms of energy performance based on location, archetype, and age. The study also focuses on estimating energy consumption and carbon dioxide emissions, monitoring the progress of renovations, evaluating the achieved energy savings, and identifying and characterising the least energy-efficient segments of the building stock.

Distancing through peacekeeping: global peacekeeping assemblages and the Gambian armed forces

Abstract This article contributes to the understanding of incentives for peacekeeping contribution from non-democratic countries through the largely unexplored case of peacekeeping under authoritarian rule in The Gambia. It argues that President Yahya Jammeh (1994–2017) aimed to use peacekeeping to help keep himself in power, fitting a broader global pattern of peacekeeping for regime maintenance. However, the research also demonstrates that leadership's aims for peacekeeping can be misaligned with the experiences of soldiers. Rather than draw soldiers closer to the regime, the peacekeeping experience involved a distancing from the forces for Gambian soldiers when they returned home. The findings draw on interviews with returned peacekeepers and military decision makers in The Gambia, as well as publications from the armed forces and new public sources of information made available after the 2017 political transition. The article proposes that viewing the deployment experience as a global peacekeeping assemblage helps to understand the more subtle, yet significant, ways in which soldiers' views can shift following peacekeeping deployments.

“Hidden” legal status; Information sources on extra-territorial extension of patent rights

Legal status information is a critical component of many patent searches, particularly those conducted in industry. Although most major patenting authorities can provide reasonably comprehensive data on their own national legal status, this may not enable the user to obtain a complete picture of where patent rights are in force. Many smaller countries have a mechanism to recognise patent rights previously granted by other jurisdictions; however, the public information sources on these extensions are poorly controlled and difficult to access. A review is provided on the various means by which extra-territorial extensions may be obtained, and of the quality and quantity of public information which can be retrieved.

An Experimental Study on how Messaging from CDC Affects Attitudes toward Mandatory MMR Vaccination for Schoolchildren.

During the COVID-19 pandemic, public health institutions, particularly the Centers for Disease Control and Prevention (CDC), were frequently attacked by politicians. Popular trust in these institutions declined, particularly among self-identified Republicans. Therefore, the effectiveness of public health institutions as vaccination messengers might have been weakened in the post-COVID-19 period. We conducted a survey experiment examining the effectiveness of messaging from the CDC in shaping people's attitudes toward mandatory MMR (measles-mumps-rubella) vaccination for schoolchildren. The experiment was embedded in a survey fielded in South Dakota, a "red state" with a population predisposed to distrust the CDC. Using registration-sampling, we received 747 responses. We used difference-in-means tests and multivariate regression to analyze the data. We found that participants who received a message from the CDC were more likely to support MMR vaccine mandate for schoolchildren than participants who received the same prompt from a state agency. Further analyses showed that messaging from the CDC was particularly effective among Republicans. Overall, our study showed that although the CDC was caught up in the political skirmishes during the COVID-19 pandemic, it remains an authoritative source of public health information. Public health officials at the local and state levels should not shy away from referring to the CDC in their vaccination messaging.

Possibilities of integration of health promotion into the rehabilitation process

Aim: The aim is to analyse and determine the possibilities of using health promotion tools and approaches at different levels of implementation of the rehabilitation process. Materials and Methods: Published information sources on the organization of rehabilitation care and health promotion served as materials of the study. The methods of system analysis, structural and logical analysis, bibliosemantic and information-analytical methods were used during the research. Conclusions: The implementation of the rehabilitation process at different levels requires different conditions, resources and the availability of specialists, which leads to different approaches to the integration of health promotion. On the basis of the defined categories of rehabilitation, it is possible to form a framework for the integration of health promotion into the rehabilitation process with the identification of potential tools and approaches. However, all levels require not only resources, but also appropriate professional training of specialists in the implementation of health promotion activities.

The effects of internal displacement on the host border regions (case study of the Lviv Region of Ukraine)

The study objective is to analyse the effect of the flow of internally displaced persons (IDPs) on the development of the Lviv Oblast – the largest region of Ukraine bordering on the EU. The article was based on available statistical data (most statistical data in Ukraine under martial law is not made public), data from sociological research of international organisations, and other official public sources of information. The study results suggest that the Lviv Oblast has become the main Ukrainian transit region on the route of refugees from Ukraine across the border, as well as one of the main oblasts accepting IDPs. At least 5 million people have passed the oblast in transit, and the number of IDPs reached its maximum in the period May-June 2022. Most of the people arrived in the city of Lviv, other large cities, as well as recreation and tourist centres. IDPs have had a positive effect on the sectors of housing construction and tourism in the oblast, and contributed to an increase in the budget income of separate territorial hromadas. Approximately 230 enterprises have also been relocated to the oblast. Most IDPs are planning or expect to return to their former place of residence, although with each month of war duration, the share of people integrating with local communities and planning to permanently remain in the territory of the Lviv Oblast increases. In spatial terms, the flow of IDPs considerably exceeded the level of urbanisation of the oblast, and accelerated the development of the Lviv urban agglomeration. In the future perspective it may contribute to an increase in territorial disproportions between large cities in the oblast, with better developed hromadas around Lviv, mountain and pre-montane towns on the one hand, and depressive hromadas in the east and south-east of the oblast on the other.

Validity and reliability of artificial intelligence chatbots as public sources of information on endodontics.

This study aimed to evaluate and compare the validity and reliability of responses provided by GPT-3.5, Google Bard, and Bing to frequently asked questions (FAQs) in the field of endodontics. FAQs were formulated by expert endodontists (n = 10) and collected through GPT-3.5 queries (n = 10), with every question posed to each chatbot three times. Responses (N = 180) were independently evaluated by two board-certified endodontists using a modified Global Quality Score (GQS) on a 5-point Likert scale (5: strongly agree; 4: agree; 3: neutral; 2: disagree; 1: strongly disagree). Disagreements on scoring were resolved through evidence-based discussions. The validity of responses was analysed by categorizing scores into valid or invalid at two thresholds: The low threshold was set at score ≥4 for all three responses whilst the high threshold was set at score 5 for all three responses. Fisher's exact test was conducted to compare the validity of responses between chatbots. Cronbach's alpha was calculated to assess the reliability by assessing the consistency of repeated responses for each chatbot. All three chatbots provided answers to all questions. Using the low-threshold validity test (GPT-3.5: 95%; Google Bard: 85%; Bing: 75%), there was no significant difference between the platforms (p > .05). When using the high-threshold validity test, the chatbot scores were substantially lower (GPT-3.5: 60%; Google Bard: 15%; Bing: 15%). The validity of GPT-3.5 responses was significantly higher than Google Bard and Bing (p = .008). All three chatbots achieved an acceptable level of reliability (Cronbach's alpha >0.7). GPT-3.5 provided more credible information on topics related to endodontics compared to Google Bard and Bing.

Potential and Limitations of ChatGPT 3.5 and 4.0 as a Source of COVID-19 Information: Comprehensive Comparative Analysis of Generative and Authoritative Information.

The COVID-19 pandemic, caused by the SARS-CoV-2 virus, has necessitated reliable and authoritative information for public guidance. The World Health Organization (WHO) has been a primary source of such information, disseminating it through a question and answer format on its official website. Concurrently, ChatGPT 3.5 and 4.0, a deep learning-based natural language generation system, has shown potential in generating diverse text types based on user input. This study evaluates the accuracy of COVID-19 information generated by ChatGPT 3.5 and 4.0, assessing its potential as a supplementary public information source during the pandemic. We extracted 487 COVID-19-related questions from the WHO's official website and used ChatGPT 3.5 and 4.0 to generate corresponding answers. These generated answers were then compared against the official WHO responses for evaluation. Two clinical experts scored the generated answers on a scale of 0-5 across 4 dimensions-accuracy, comprehensiveness, relevance, and clarity-with higher scores indicating better performance in each dimension. The WHO responses served as the reference for this assessment. Additionally, we used the BERT (Bidirectional Encoder Representations from Transformers) model to generate similarity scores (0-1) between the generated and official answers, providing a dual validation mechanism. The mean (SD) scores for ChatGPT 3.5-generated answers were 3.47 (0.725) for accuracy, 3.89 (0.719) for comprehensiveness, 4.09 (0.787) for relevance, and 3.49 (0.809) for clarity. For ChatGPT 4.0, the mean (SD) scores were 4.15 (0.780), 4.47 (0.641), 4.56 (0.600), and 4.09 (0.698), respectively. All differences were statistically significant (P<.001), with ChatGPT 4.0 outperforming ChatGPT 3.5. The BERT model verification showed mean (SD) similarity scores of 0.83 (0.07) for ChatGPT 3.5 and 0.85 (0.07) for ChatGPT 4.0 compared with the official WHO answers. ChatGPT 3.5 and 4.0 can generate accurate and relevant COVID-19 information to a certain extent. However, compared with official WHO responses, gaps and deficiencies exist. Thus, users of ChatGPT 3.5 and 4.0 should also reference other reliable information sources to mitigate potential misinformation risks. Notably, ChatGPT 4.0 outperformed ChatGPT 3.5 across all evaluated dimensions, a finding corroborated by BERT model validation.

Health and economic impact associated with rheumatoid arthritis discharges: a cost analysis of a two-year cohort in Mexico

BackgroundRheumatoid arthritis is a highly prevalent disease. Patients undergo various medical and pharmacological treatments, which have an economic impact on hospitals. The aim of this study was to estimate the direct economic costs of Mexican Social Security Institute (IMSS) resources used to provide healthcare to adult patients with rheumatoid arthritis in 2016–2017.MethodsData of patients aged > 18 years with Rheumatoid Arthritis (RA) were obtained from databases and public information sources to estimate the use of IMSS resources for the target population. Total costs were estimated by means of the macro-costing method, employing the diagnosis-related group (DRG). Each DRG of the IMSS was constructed with one of the diagnoses and the respective combination of clinical characteristics included in the ICD-9. This study was conducted from the national perspective of IMSS, the largest healthcare service administrator in the country. As such, it can be considered representative of the broader healthcare landscape in Mexico.ResultsThe total cost per year of furnishing inpatient care to RA patients was found to be $170,099,794 MXN ($9,096,245.67 USD) for 2016 and $167,039,481 MXN ($8,932,592.57 USD) for 2017, implying an enormous economic impact on the government budget for Mexican public health services.ConclusionsOur results demonstrate that the direct costs of musculoskeletal and cardiovascular surgery represented the highest costs of RA in-hospital care at IMSS (the largest health institution in Mexico) in 2016 and 2017. Further studies are needed that include the cost of drugs and other indirect costs in addition to our results to get the most accurate approximation of the cost of living with RA.

The effect of trust in media and information sources on coronavirus disease 2019 prevention behaviors in Lebanon

The study examines the effect of trust in media and information sources about coronavirus disease 2019 (COVID-19) on adopting prevention measures, and whether fear and perceived knowledge mediate this relationship. It focuses on Lebanon during a period of political and economic crises and prevalent public distrust in government and the media. Through a cross-sectional survey and a nationally representative probability sample, data collection from 1536 participants took place between March 27 and April 23, 2020. The findings establish a direct relationship between trust and adopting prevention measures, but only partial mediation of fear and perceived knowledge. This suggests that media trust has a strong independent effect on prevention measures and is only partially mediated by fear and to a lesser extent by perceived knowledge. These findings highlight the importance of trust in media, government, and public health information sources, even during chaotic economic and political circumstances common in the Global South.

Research ethics committees in the Autonomous City of Buenos Aires: 14 years after the implementation of Law 3301.

This article analyzes the implementation of research ethics committees in the Autonomous City of Buenos Aires, a process that took place in the context of a historical process of implementing health research policies at both the national and jurisdictional levels. Employing a qualitative, observational, and cross-sectional approach, we gathered secondary sources of public information and conducted semi-structured, in-depth interviews with members of the committees in the Autonomous City of Buenos Aires. The results are presented in relation to three aspects: 1) the composition of the research ethics committees; 2) work processes, emphasizing the impact of the COVID-19 pandemic; and 3) obstacles and proposals, that focuses on improvements identified by committee members.

Choice Of Digital Mass Media Daily Newspaper Luwuk Post As A Source Of Public Information

The rapid development of technology is directly proportional to the development of mass media. The presence of the internet in people's daily lives has had a major impact on the sustainability of mass media. One of them is the daily print media LuwukPost, which inevitably has to improve itself to welcome the new era, namely digital mass media. The emergence of this new media changes the way people get information through the media. To be able to continue to compete as a source of information that is of interest to the public, Luwukpost mass media must innovate by means of digitalization. In writing this scientific work, it was only limited to conducting a literature study using the digital mass media, the daily newspaper Luwukpost, as a source of public information. The choice of digital media allows professionals in the mass media field to convey news and present information and entertainment using a variety of information. Based on the results of the research conducted.

Analisis E-Library Uinsa Kubuku sebagai Sarana Peningkatan Citra Perpustakaan

The trend of procuring e-libraries by libraries is motivated by the impact of the pandemic which has eliminated face-to-face services. The digital collection available in the e-library is a solution to meeting people's needs due to a shift in literacy culture from conventional to digital. Digital collections not only complement, but even replace print collections as a source of public information. Purpose Research. This study aims to determine the level of utilization of the Kubuku UINSA android based application and the image of the library as a result of its existence. Methods. The method used is the mixed method by maximizing observation and interview techniques in data acquisition. Results. The results of the study show that the utilization rate of the e-library is quite high. During the period June 2020 to April 2023, there were 31,545 visitors, 8,153 readers, 1,907 borrowers, and 26,531 copies of the collection used. Meanwhile, the image of the library is in the high category due to the existence of Kubuku UINSA. This can be seen from the four elements of the image, namely perception, cognition, motives, and attitudes which all show positive. the indicators are early introduction of applications through PBAK activities and knowledge of the types of collections available (perception). Reliability as a source of information because it consists of compulsory lecture books and the availability of digital collections as a substitute for printed books for course reading and reference (cognition). Small application size and easy access so there is no need to physically come to the library and new collections as needed (motive). Reading and citation of available collections for academic assignments as well as promotional behavior to others due to easy utilization and complete collections.Keywords: e-library, Kubuku UINSA, Library Image.

Public tenders, complaints, machine learning and recommender systems: a case study in public administration

With the proliferation of e-procurement systems in the public sector, valuable and open information sources can be jointly accessed. Our research aims to explore different legal Open Data; in particular, we explored the data set of the National Anti-Corruption Authority in Italy on public procurement and the judges’ sentences related to public procurement, published on the website of the Italian Administrative Justice from 2007 to 2022. Our first goal was to train machine learning models capable of automatically recognizing which procurement has led to disputes and consequently complaints to the Administrative Justice, identifying the relevant features of procurement that correspond to certain anomalies. Our second goal was to develop a recommender system on procurement to return similar procurement to a given one and find companies for bidders, depending on the procurement requirements.

Politicizing Masks? Examining the Volume and Content of Local News Coverage of Face Coverings in the U.S. Through the COVID-19 Pandemic

ABSTRACT The COVID-19 pandemic quickly became a political and health communication crisis whose impact varied by geographic location in the United States. Although local television is known to be an important source of public information, little is known about how it covered the pandemic. We analyze the volume and content of local TV coverage of masks from 758 stations across all 210 U.S. media markets in the first 22 months of the pandemic to assess how often news mentions masks and the extent to which mask wearing is framed as a contentious issue by highlighting controversy and partisan cues. Overall, we find widespread but variable attention to masks throughout the pandemic at levels frequently matching or exceeding the initial coverage of the CDC recommendation to wear face coverings. Controversial coverage of face masks peaks in late summer 2021 at roughly 23%, amid the rise of the new Delta variant, although partisan controversy comprises a relatively small portion of mask-related television news. Case rates, population size and density of the market, and partisanship of the local area are associated with volume and content of mask coverage, but these relationships vary over time. We also find evidence that stations owned by the Sinclair Broadcasting Group air fewer stories about masks and more controversy including partisan conflict in their mask coverage. The results add further support to the notion that the messaging surrounding COVID-19 on television varies in part based on geographic location and corresponding demographics but may also vary based upon ideological commitments of station owners.

Geographic Variability, Seasonality, and Increase in ASPCA Animal Poison Control Center Harmful Blue-Green Algae Calls-United States and Canada, 2010-2022.

Harmful cyanobacteria (blue-green algae) exposures can cause illness or death in humans and animals. We characterized American Society for the Prevention of Cruelty to Animals (ASPCA) Animal Poison Control Center (APCC) harmful blue-green algae (HBGA) call data, compared it to a measure of harmful algal bloom public awareness, and considered its suitability as a public health information source. ASPCA APCC dog and cat "HBGA exposure" calls made 1 January 2010-31 December 2022 were included. We calculated annual HBGA call percentages and described calls (species, month, origin, exposure route). We characterized public awareness by quantifying Nexis Uni® (LexisNexis Academic; New York, NY, USA)-indexed news publications (2010-2022) pertaining to "harmful algal bloom(s)". Call percentage increased annually, from 0.005% (2010) to 0.070% (2022). Of 999 HBGA calls, 99.4% (n = 993) were dog exposures. Over 65% (n = 655) of calls were made July-September, largely from the New England (n = 154 (15.4%)) and Pacific (n = 129 (12.9.%)) geographic divisions. Oral and dermal exposures predominated (n = 956 (95.7%)). Harmful algal bloom news publications increased overall, peaking in 2019 (n = 1834). Higher call volumes in summer and in the New England and Pacific geographic divisions drove HBGA call increases; public awareness might have contributed. Dogs and humans have similar exposure routes. ASPCA APCC HBGA call data could serve as a public health information source.