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1.
J Surg Res ; 282: 65-70, 2023 Feb.
Artigo em Inglês | MEDLINE | ID: mdl-36257165

RESUMO

INTRODUCTION: Patients often discuss information obtained from Internet sources during clinic visits, which can be of variable quality and depth. We sought to review and assess information on the Internet regarding common operations within endocrine surgery. METHODS: Using Google's search engine, the top 100 websites from the search phrase "parathyroid surgery," and the top 100 websites from the phrase "thyroid surgery" were identified. Each website was evaluated for accessibility, accuracy, and completeness of information about gland hormone function, associated disease processes, and surgery itself. Results were stratified based on the website type, and bivariate analysis was performed to determine accuracy by category. Presence of author credentials, last webpage update, and presence of advertisements were also assessed. Inter-rater reliability was calculated for each variable. RESULTS: For parathyroid surgery, at least two-thirds of all websites included information about surgery, hormone function, and disease processes. For thyroid surgery, 71% of websites included procedure information, but only 52% included information about hormone function and 56% about disease processes. Less than 30% of all websites included advertisements and less than 25% listed author credentials or provided references. Academic or research-affiliated sources were most likely to have zero inaccuracies, but 44% of all websites had at least one potential inaccuracy. Inter-rater reliability achieved at least moderate agreement (>0.41) for 56% of variables. CONCLUSIONS: There is a wide array of information available to patients online, and accuracy varies based on multiple factors including the type of website. Endocrine surgeons and related practitioners must be cognizant of this fact when discussing treatment plans with patients.


Assuntos
Ferramenta de Busca , Glândula Tireoide , Reprodutibilidade dos Testes , Internet , Hormônios
2.
Nutrients ; 14(22)2022 Nov 19.
Artigo em Inglês | MEDLINE | ID: mdl-36432583

RESUMO

The COVID-19 pandemic has not only affected healthcare systems and global economies but also directly impacted food security and purchasing behaviors. The aim of this study is to investigate if COVID-19 has induced changes in public interest regarding Food Sustainability and healthy-sustainable dietary patterns across Europe and in European regions. A Google Trends search was performed using the search terms "Food Sustainability + Sustainable Diet + Sustainable Food" (grouped as "Food Sustainability") and the topics "Sustainability", "Healthy Diet", "Mediterranean Diet", and "Flexitarianism" for the years 2010 to 2022. Data were obtained for 12 countries in Europe. The trends in interest after the COVID-19 outbreak were forecast based on previous data. After the COVID-19 outbreak, an increase in Food Sustainability interest was observed and was higher than forecast based on the previous data. A significant interest increase in Sustainability was observed; nevertheless, this increase was smaller than the forecast increase. Mixed results were obtained for dietary patterns across European regions, yet, considering the mean interest for Europe, it seems that the COVID-19 pandemic outbreak dampened the interest in dietary patterns such as the Healthy Diet and Flexitarianism and promoted an interest in the Mediterranean Diet. Understanding consumers' beliefs and behaviors toward food choices is crucial for the transition towards sustainable diets, and definitions of educational and behavioral interventions are essential to this transition.


Assuntos
COVID-19 , Dieta Mediterrânea , Humanos , COVID-19/epidemiologia , COVID-19/prevenção & controle , Pandemias , Ferramenta de Busca , Alimentos
3.
Artigo em Inglês | MEDLINE | ID: mdl-36430115

RESUMO

In an ever-increasingly online world, many Internet users seek information from online search engines such as Google. Accessing such search activity allows infodemiologists a glimpse into the collective online mind. Tools such as Google Trends and Google Health Trends (GHT) can be used to gauge search activity in key geographical regions and for specific periods of time. Recently, Google implemented changes to the GHT platform. Evidence is provided here for an initial exploration of how this change impacted the data obtained from GHT. Comparing 177 weekly probabilities for short search sessions of 421 Freebase IDs in thirty geographies extracted from GHT both before and after the implemented change, a low correlation (median of all Spearman ρ = 0.262 [IQR 0.04; 0.53]) between these data was observed for the year 2022. In general, the extracted values are higher after the implemented changes, compared to the values extracted before the change. Future research using the GHT API should not attribute increases in GHT data from 1 January 2022 onward as being reflective of increased search activity for a specific keyword, but rather attribute it to the implemented change to the GHT sampling strategy.


Assuntos
Ferramenta de Busca , Farmacovigilância , Infodemia , Comportamento de Busca de Informação
4.
Curr Protoc ; 2(11): e619, 2022 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-36413109

RESUMO

ConVarT (https://convart.org/) is a search engine for searching for conjugate variants between humans and other species. The search engine is based on matching conjugate variants called MatchVars between species. Matching equivalent variants requires correct alignment of orthologous proteins with the use of multiple sequence alignments (MSA). Indeed, the ConVarT pipeline has performed over a million MSAs and integrated variants and variant-specific annotations (pathogenicity, phenotypic variants; etc.) into the corresponding positions on MSAs. When a clinically relevant variant is discovered whose functional relevance is unknown, ConVarT offers clinician scientists the possibility to search for a MatchVar in other species and to look for functional data on that variant. Fortunately, ConVarT enables users to paste a protein sequence in FASTA format to search for human orthologous proteins. A pairwise sequence alignment (PSA) is then performed between the provided protein sequence and the human orthologous protein, allowing users to visualize human variants on the PSA. Here, we describe the step-by-step usage of ConVarT. © 2022 Wiley Periodicals LLC. Basic Protocol 1: Searching matching variants (MatchVar) with gene/protein identifiers. Basic Protocol 2: Searching with a FASTA sequence. Alternate Protocol: Search with gene name in multiple species. Basic Protocol 3: Search genes associated with a disease.


Assuntos
Médicos , Ferramenta de Busca , Humanos , Mutação de Sentido Incorreto , Sequência de Aminoácidos , Alinhamento de Sequência
5.
Front Public Health ; 10: 948478, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36424966

RESUMO

Objective: This study aimed to develop a framework regarding COVID-19 infodemic response and policy informing through focusing on infodemic concepts circulating on the online search engine in Turkey in relation to the COVID-19 outbreak and comparing the contents of these concepts with Maslow's hierarchy of needs and disaster stages. Materials and methods: The universe of this descriptive epidemiological research consists of internet search activities on COVID-19 circulating online on Google Trends between March 10, 2020, when the first case was seen in Turkey, and June 01, 2020, when the lockdown restrictions were lifted. Findings: There was no internet trend regarding a misinformed attitude within the given date range. While an infodemic attitude toward superficial attitude and racist attitude in the internet environment was detected for 1 week, an infodemic attitude toward definitive attitude was detected for 2 weeks. The non-infodemic concepts were more common than the other infodemic attitudes. The infodemic concepts were able to reach Maslow's physiological, safety, and social need levels. With the infodemic concepts obtained, a COVID-19 development process framework was developed. The framework consists of three domains (COVID-19, applications and outcomes), including disaster phases and health/social impacts, built on seven public health epochs. Results: A systematized COVID-19 development process framework was modeled in order to conceptualize COVID-19 internet searches and to reveal the development processes and outcomes.


Assuntos
COVID-19 , Humanos , COVID-19/epidemiologia , Turquia , Controle de Doenças Transmissíveis , Ferramenta de Busca , Políticas
6.
PLoS One ; 17(11): e0277823, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36399450

RESUMO

INTRODUCTION: Fibroadenomas are benign lesions found in the breast tissue. Widespread access to and use of the internet has resulted in more individuals using online resources to better understand health conditions, their prognosis and treatment. The aim of this study was to investigate the readability and visual appearance of online patient resources for fibroadenoma. METHODS: We searched GoogleTM, BingTM and YahooTM on 6 July 2022 using the search terms "fibroadenoma", "breast lumps", "non-cancerous breast lumps", "benign breast lumps" and "benign breast lesions" to identify the top ten websites that appeared on each of the search engines. We excluded advertised websites, links to individual pdf documents and links to blogs/chats. We compiled a complete list of websites identified using the three search engines and the search terms and analysed the content. We only selected pages that were relevant to fibroadenoma. We excluded pages which only contained contact details and no narrative information relating to the condition. We did not assess information where links were directed to alternative websites. We undertook a qualitative visual assessment of each of the websites using a framework of pre-determined key criteria based on the Centers for Medicare and Medicaid Services toolkit. This involved assessing characteristics such as overall design, page layout, font size and colour. Each criterion was scored as: +1- criterion achieved; -1- criterion not achieved; and 0- no evidence, unclear or not applicable (maximum total score 43). We then assessed the readability of each website to determine the UK and US reading age using five different readability tests: Flesch Kincaid, Gunning Fog, Coleman Liau, SMOG, and the Automated Readability Index. We compared the readability scores to determine if there were any significant differences across the websites identified. We also generated scores for the Flesh Reading Ease as well as information about sentence structure (number of syllables per sentence and proportion of words with a high number of syllables) and proportion of people the text was readable to. RESULTS: We identified 39 websites for readability and visual assessment. The visual assessment scores for the 39 websites identified ranged from -19 to 31 points out of a possible score of 43. The median readability score for the identified websites was 8.58 (age 14-15), with a range of 6.69-12.22 (age 12-13 to university level). There was a statistically significant difference between the readability scores obtained across websites (p<0.001). Almost half of the websites (18/39; 46.2%) were classified as very difficult by the Flesch Reading Ease score, with only 13/39 (33.33%) classified as being fairly easy or plain English. CONCLUSION: We found wide differences in the general appearance, layout and focus of the fibroadenoma websites identified. The readability of most of the websites was also much higher than the recommended level for the public to understand. Fibroadenoma website information needs to be simplified to reduce the use of jargon and specificity to the condition for individuals to better comprehend it. In addition, their visual appearance could be improved by changing the layout and including images and diagrams.


Assuntos
Neoplasias da Mama , Fibroadenoma , Fibroma , Idoso , Humanos , Estados Unidos , Adolescente , Criança , Feminino , Compreensão , Medicare , Leitura , Ferramenta de Busca
7.
J Med Internet Res ; 24(11): e38957, 2022 Nov 08.
Artigo em Inglês | MEDLINE | ID: mdl-36346655

RESUMO

BACKGROUND: Illegal online pharmacies function as affiliate networks, in which search engine results pages (SERPs) are poisoned by several links redirecting site visitors to unlicensed drug distribution pages upon clicking on the link of a legitimate, yet irrelevant domain. This unfair online marketing practice is commonly referred to as search redirection attack, a most frequently used technique in the online illegal pharmaceutical marketplace. OBJECTIVE: This study is meant to describe the mechanism of search redirection attacks in Google search results in relation to erectile dysfunction medications in European countries and also to determine the local and global scales of this problem. METHODS: The search engine query results regarding 4 erectile dysfunction medications were documented using Google. The search expressions were "active ingredient" and "buy" in the language of 12 European countries, including Hungary. The final destination website legitimacy was checked at LegitScript, and the estimated number of monthly unique visitors was obtained from SEMrush traffic analytics. Compromised links leading to international illegal medicinal product vendors via redirection were analyzed using Gephi graph visualization software. RESULTS: Compromised links redirecting to active online pharmacies were present in search query results of all evaluated countries. The prevalence was highest in Spain (62/160, 38.8%), Hungary (52/160, 32.5%), Italy (46/160, 28.8%), and France (37/160, 23.1%), whereas the lowest was in Finland (12/160, 7.5%), Croatia (10/160, 6.3%), and Bulgaria (2/160, 1.3%), as per data recorded in November 2020. A decrease in the number of compromised sites linking visitors to illegitimate medicine sellers was observed in the Hungarian data set between 2019 and 2021, from 41% (33/80) to 5% (4/80), respectively. Out of 1920 search results in the international sample, 380 (19.79%) search query results were compromised, with the majority (n=342, 90%) of links redirecting individuals to 73 international illegal medicinal product vendors. Most of these illegal online pharmacies (41/73, 56%) received only 1 or 2 compromised links, whereas the top 3 domains with the highest in-degree link value received more than one-third of all incoming links. Traffic analysis of 35 pharmacy specific domains, accessible via compromised links in search engine queries, showed a total of 473,118 unique visitors in November 2020. CONCLUSIONS: Although the number of compromised links in SERPs has shown a decreasing tendency in Hungary, an analysis of the European search query data set points to the global significance of search engine poisoning. Our research illustrates that search engine poisoning is a constant threat, as illegitimate affiliate networks continue to flourish while uncoordinated interventions by authorities and individual stakeholders remain insufficient. Ultimately, without a dedicated and comprehensive effort on the part of search engine providers for effectively monitoring and moderating SERPs, they may never be entirely free of compromised links leading to illegal online pharmacy networks.


Assuntos
Disfunção Erétil , Farmácias , Venenos , Masculino , Humanos , Ferramenta de Busca , Disfunção Erétil/tratamento farmacológico , Disfunção Erétil/epidemiologia , Prevalência , Análise de Dados , Internet , Preparações Farmacêuticas
8.
J Med Internet Res ; 24(11): e41288, 2022 Nov 23.
Artigo em Inglês | MEDLINE | ID: mdl-36416870

RESUMO

BACKGROUND: Sleep disorders are experienced by up to 40% of the population but their diagnosis is often delayed by the availability of specialists. OBJECTIVE: We propose the use of search engine activity in conjunction with a validated web-based sleep questionnaire to facilitate wide-scale screening of prevalent sleep disorders. METHODS: Search advertisements offering a web-based sleep disorder screening questionnaire were shown on the Bing search engine to individuals who indicated an interest in sleep disorders. People who clicked on the advertisements and completed the sleep questionnaire were identified as being at risk for 1 of 4 common sleep disorders. A machine learning algorithm was applied to previous search engine queries to predict their suspected sleep disorder, as identified by the questionnaire. RESULTS: A total of 397 users consented to participate in the study and completed the questionnaire. Of them, 132 had sufficient past query data for analysis. Our findings show that diurnal patterns of people with sleep disorders were shifted by 2-3 hours compared to those of the controls. Past query activity was predictive of sleep disorders, approaching an area under the receiver operating characteristic curve of 0.62-0.69, depending on the sleep disorder. CONCLUSIONS: Targeted advertisements can be used as an initial screening tool for people with sleep disorders. However, search engine data are seemingly insufficient as a sole method for screening. Nevertheless, we believe that evaluable web-based information, easily collected and processed with little effort on part of the physician and with low burden on the individual, can assist in the diagnostic process and possibly drive people to seek sleep assessment and diagnosis earlier than they currently do.


Assuntos
Ferramenta de Busca , Transtornos do Sono-Vigília , Humanos , Transtornos do Sono-Vigília/diagnóstico , Transtornos do Sono-Vigília/epidemiologia , Inquéritos e Questionários , Sono , Programas de Rastreamento/métodos
9.
Sci Rep ; 12(1): 20307, 2022 Nov 24.
Artigo em Inglês | MEDLINE | ID: mdl-36434105

RESUMO

Monitoring the ecological environment quality is an important task that is often connected to achieving sustainable development. Timely and accurate monitoring can provide a scientific basis for regional land use planning and environmental protection. Based on the Google Earth Engine platform coupled with the greenness, humidity, heat, and dryness identified in remote sensing imagery, this paper constructed a remote sensing ecological index (RSEI) covering northern Anhui and quantitatively analyzed the characteristics of the spatiotemporal changes in the ecological environment quality from 2001 to 2020. Geodetector software was used to explore the mechanism driving the characteristics of spatial differentiation in the ecological environment quality. The main conclusions were as follows. First, the ecological environment quality in northern Anhui declined rapidly from 2001 to 2005, but the rate of decline slowed from 2005 to 2020 and a trend of improvement gradually emerged. The ecological environment quality of Huainan from 2001 to 2020 was better and more stable compared with other regional cities. Bengbu and Suzhou showed a trend of initially declining and then improving. Huaibei, Fuyang, and Bozhou demonstrated a trend of a fluctuating decline over time. Second, vegetation coverage was the main influencing factor of the RSEI, while rainfall was a secondary factor in northern Anhui from 2001 to 2020. Finally, interactions were observed between the factors, and the explanatory power of these factors increased significantly after the interaction. The most apparent interaction was between vegetation coverage and rainfall (q = 0.404). In addition, we found that vegetation abundance had a positive impact on ecological environment quality, while population density and urbanization had negative impacts, and the ecological environment quality of wetlands was the highest. Our research will provide a theoretical basis for environmental protection and support the high-quality development of northern Anhui.


Assuntos
Ecologia , Ecossistema , Tecnologia de Sensoriamento Remoto , Ferramenta de Busca , China , Conservação dos Recursos Naturais
10.
J Med Internet Res ; 24(11): e37552, 2022 Nov 25.
Artigo em Inglês | MEDLINE | ID: mdl-36427237

RESUMO

BACKGROUND: Digital health resources have the potential to assist women in optimizing gestational weight gain (GWG) during pregnancy to improve maternal health outcomes. OBJECTIVE: In this study, we aimed to evaluate the quality and behavior change potential of publicly available digital tools (websites and apps) that facilitate GWG tracking. METHODS: Digital tools were identified using key search terms across website search engines and app stores and evaluated using the Mobile App Rating Scale, the App Behavior Change Scale, as well as criteria to evaluate the rigor and safety of GWG information. RESULTS: Overall, 1085 tools were screened for inclusion (162 websites and 923 apps), and 19 were deemed eligible. The mean Mobile App Rating Scale quality score was 3.31 (SD 0.53) out of 5, ranging from 2.26 to 4.39, and the mean App Behavior Change Scale score was 6 (SD 3.4) out of 21, ranging from 19 to 0. Of the 19 items used to evaluate rigor of GWG advice, most tools (n=11, 57.9%) contained ≤3 items. CONCLUSIONS: This review emphasizes the substantial limitations in current digital resources promoting the monitoring and optimization of GWG. Most tools were of low quality, had minimal behavior change potential, and were potentially unsafe, with minimal linkage to evidence-based information or partnership with health care.


Assuntos
Ganho de Peso na Gestação , Aplicativos Móveis , Gravidez , Humanos , Feminino , Família , Recursos em Saúde , Ferramenta de Busca
11.
Environ Health Perspect ; 130(11): 117005, 2022 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-36356208

RESUMO

BACKGROUND: Environmental exposures are commonly estimated using spatial methods, with most epidemiological studies relying on home addresses. Passively collected smartphone location data, like Google Location History (GLH) data, may present an opportunity to integrate existing long-term time-activity data. OBJECTIVES: We aimed to evaluate the potential use of GLH data for capturing long-term retrospective time-activity data for environmental health research. METHODS: We included 378 individuals who participated in previous Global Positioning System (GPS) studies within the Washington State Twin Registry. GLH data consists of location information that has been routinely collected since 2010 when location sharing was enabled within android operating systems or Google apps. We created instructions for participants to download their GLH data and provide it through secure data transfer. We summarized the GLH data provided, compared it to available GPS data, and conducted an exposure assessment for nitrogen dioxide (NO2) air pollution. RESULTS: Of 378 individuals contacted, we received GLH data from 61 individuals (16.1%) and 53 (14.0%) indicated interest but did not have historical GLH data available. The provided GLH data spanned 2010-2021 and included 34 million locations, capturing 66,677 participant days. The median number of days with GLH data per participant was 752, capturing 442 unique locations. When we compared GLH data to 2-wk GPS data (∼1.8 million points), 95% of GPS time-activity points were within 100m of GLH locations. We observed important differences between NO2 exposures assigned at home locations compared with GLH locations, highlighting the importance of GLH data to environmental exposure assessment. DISCUSSION: We believe collecting GLH data is a feasible and cost-effective method for capturing retrospective time-activity patterns for large populations that presents new opportunities for environmental epidemiology. Cohort studies should consider adding GLH data collection to capture historical time-activity patterns of participants, employing a "bring-your-own-location-data" citizen science approach. Privacy remains a concern that needs to be carefully managed when using GLH data. https://doi.org/10.1289/EHP10829.


Assuntos
Poluentes Atmosféricos , Poluição do Ar , Humanos , Poluentes Atmosféricos/análise , Estudos Retrospectivos , Smartphone , Ferramenta de Busca , Exposição Ambiental , Saúde Ambiental
12.
Sci Rep ; 12(1): 18815, 2022 Nov 05.
Artigo em Inglês | MEDLINE | ID: mdl-36335221

RESUMO

One of the most challenging topics in robotics is simultaneous localization and mapping (SLAM) in the indoor environments. Due to the fact that Global Navigation Satellite Systems cannot be successfully used in such environments, different data sources are used for this purpose, among others light detection and ranging (LiDARs ), which have advanced from numerous other technologies. Other embedded sensors can be used along with LiDARs to improve SLAM accuracy, e.g. the ones available in the Inertial Measurement Units and wheel odometry sensors. Evaluation of different SLAM algorithms and possible hardware configurations in real environments is time consuming and expensive. In our study, we evaluate the accuracy of mapping and localization (based on Absolute Trajectory Error and Relative Pose Error). Our use case is a robot used for room decontamination. The results for a small room show that for our robot the best hardware configuration consists of three LiDARs 2D, IMU and wheel odometry sensors. On the other hand, for long hallways, a configuration with one LiDAR 3D sensor and IMU works better and more stable. We also described a general approach together with tools and procedures that can be used to find the best sensor setup in simulation.


Assuntos
Robótica , Ferramenta de Busca , Robótica/métodos , Algoritmos , Simulação por Computador , Computadores
13.
Artigo em Inglês | MEDLINE | ID: mdl-36231394

RESUMO

Built environment neighborhood characteristics are difficult to measure and assess on a large scale. Consequently, there is a lack of sufficient data that can help us investigate neighborhood characteristics as structural determinants of health on a national level. The objective of this study is to utilize publicly available Google Street View images as a data source for characterizing built environments and to examine the influence of built environments on chronic diseases and health behaviors in the United States. Data were collected by processing 164 million Google Street View images from November 2019 across the United States. Convolutional Neural Networks, a class of multi-layer deep neural networks, were used to extract features of the built environment. Validation analyses found accuracies of 82% or higher across neighborhood characteristics. In regression analyses controlling for census tract sociodemographics, we find that single-lane roads (an indicator of lower urban development) were linked with chronic conditions and worse mental health. Walkability and urbanicity indicators such as crosswalks, sidewalks, and two or more cars were associated with better health, including reduction in depression, obesity, high blood pressure, and high cholesterol. Street signs and streetlights were also found to be associated with decreased chronic conditions. Chain link fence (physical disorder indicator) was generally associated with poorer mental health. Living in neighborhoods with a built environment that supports social interaction and physical activity can lead to positive health outcomes. Computer vision models using manually annotated Google Street View images as a training dataset were able to accurately identify neighborhood built environment characteristics. These methods increases the feasibility, scale, and efficiency of neighborhood studies on health.


Assuntos
Planejamento Ambiental , Ferramenta de Busca , Ambiente Construído , Colesterol , Doença Crônica , Humanos , Redes Neurais de Computação , Avaliação de Resultados em Cuidados de Saúde , Características de Residência , Estados Unidos , Caminhada
14.
Artigo em Inglês | MEDLINE | ID: mdl-36231693

RESUMO

The probability of future Coronavirus Disease (COVID)-19 waves remains high, thus COVID-19 surveillance and forecasting remains important. Online search engines harvest vast amounts of data from the general population in real time and make these data publicly accessible via such tools as Google Trends (GT). Therefore, the aim of this study was to review the literature about possible use of GT for COVID-19 surveillance and prediction of its outbreaks. We collected and reviewed articles about the possible use of GT for COVID-19 surveillance published in the first 2 years of the pandemic. We resulted in 54 publications that were used in this review. The majority of the studies (83.3%) included in this review showed positive results of the possible use of GT for forecasting COVID-19 outbreaks. Most of the studies were performed in English-speaking countries (61.1%). The most frequently used keyword was "coronavirus" (53.7%), followed by "COVID-19" (31.5%) and "COVID" (20.4%). Many authors have made analyses in multiple countries (46.3%) and obtained the same results for the majority of them, thus showing the robustness of the chosen methods. Various methods including long short-term memory (3.7%), random forest regression (3.7%), Adaboost algorithm (1.9%), autoregressive integrated moving average, neural network autoregression (1.9%), and vector error correction modeling (1.9%) were used for the analysis. It was seen that most of the publications with positive results (72.2%) were using data from the first wave of the COVID-19 pandemic. Later, the search volumes reduced even though the incidence peaked. In most countries, the use of GT data showed to be beneficial for forecasting and surveillance of COVID-19 spread.


Assuntos
COVID-19 , Pandemias , COVID-19/epidemiologia , Surtos de Doenças , Previsões , Humanos , Ferramenta de Busca
16.
PLoS One ; 17(10): e0276485, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36288363

RESUMO

In order to shed light on unmeasurable real-world phenomena, we investigate exemplarily the actual number of COVID-19 infections in Germany based on big data. The true occurrence of infections is not visible, since not every infected person is tested. This paper demonstrates that coronavirus-related search queries issued on Google can depict true infection levels appropriately. We find significant correlation between search volume and national as well as federal COVID-19 cases as reported by RKI. Additionally, we discover indications that the queries are indeed causal for infection levels. Finally, this approach can replicate varying dark figures throughout different periods of the pandemic and enables early insights into the true spread of future virus outbreaks. This is of high relevance for society in order to assess and understand the current situation during virus outbreaks and for decision-makers to take adequate and justifiable health measures.


Assuntos
COVID-19 , Humanos , COVID-19/epidemiologia , Ferramenta de Busca , Pandemias , Surtos de Doenças , Alemanha/epidemiologia
17.
PLoS One ; 17(10): e0276675, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36288377

RESUMO

In this paper we analyze the descriptive statistics of the Google search volume for the terms related to the National Reserve of Copper and Associates (RENCA), a Brazilian mineral reserve in the Amazon of 4.6 million hectares, before and after the government signed the decree releasing it for exploration. First, we analyze the volume of searches for expressions related to RENCA in Google Trends using descriptive statistics; second, we assess the cross-correlation coefficient ρDCCA, which measures the cross-correlation between two nonstationary time series across different time scales. After the government announced the release of the RENCA reserve, there was an increase in the average volume of Google searches for related terms, showing people's concern about the announcement. By using the cross-correlation coefficient ρDCCA, we identify strong cross-correlations between the different expressions related to RENCA in Google Trends. Our work shows the utility of Google Trends as an indicator of the perception of environmental policies. Additionally, we show that ρDCCA can be used as a tool to measure the cross-correlation between synonyms extracted from Google Trends for various time scales.


Assuntos
Floresta Úmida , Ferramenta de Busca , Humanos , Cobre , Brasil , Internet
18.
Environ Monit Assess ; 194(12): 869, 2022 Oct 12.
Artigo em Inglês | MEDLINE | ID: mdl-36220911

RESUMO

This study maps flood inundation and estimates the damage caused by super cyclone Yaas in Purba Medinipur, India. We used Google Earth Engine (GEE) to create a flood inundation map of the research area using pre and post-cyclone Sentinel-1 SAR data. Using ESRI 2020 land cover data, flood damage was analysed. The flood affected 5% (239.69 km2) of the land of Purba Medinipur. The northern and southern regions were affected the most. 95% and 3% of the total flooded area are comprised of agricultural and vegetation, respectively. Kolaghat (24 km2) and Nandigram-II (1 km2) sustained the greatest damage to both agriculture and vegetation. The areas below 18 m were impacted by flooding, with the worst damage occurring below 5 m. The GEE platform was cost-effective, efficient, and faster at calculating with enhanced precision. The outcomes of this study will aid in the management of cyclone-induced hazards. We advocate planting native and salt-tolerant crops to reduce flood damage.


Assuntos
Tempestades Ciclônicas , Inundações , Monitoramento Ambiental , Índia , Ferramenta de Busca
19.
PLoS One ; 17(10): e0275676, 2022.
Artigo em Inglês | MEDLINE | ID: mdl-36215234

RESUMO

BACKGROUND: Trustworthy educational information for patients is critical for increasing their knowledge base and preparing them for shared decision making with clinicians. As the internet has become an important source of health information for many patients, the purpose of this study was to assess the quality and content of websites with educational content about immune checkpoint inhibitors. METHODS: We performed an environmental scan of the currently available websites providing educational information for patients about immune checkpoint inhibitors. We used three search engines: Google, Bing, and Yahoo! (9/20/2021). Two independent investigators selected relevant uniform resource locators (URLs), appraised the quality of the websites, and collected their characteristics. We evaluated the accuracy, completeness, technical elements, design and aesthetics, readability, usability, and accessibility of the websites. The user experience was also evaluated. RESULTS: We identified 37 websites for analysis. In 10 websites (27%), it was not possible to know the source of the information provided. Thirty-three (89%) provided a definition with a simple explanation of cancer and treatment and 30 (81%) on complications of immune checkpoint inhibitors; only seven (19%) provided information about the balance between risks and benefits. Thirty-five (95%) provided a statement of purpose. Regarding the design, all 37 (100%) had appropriate visual aspects, typography, and grammar. Thirty-six (97%) were well organized. For most of the websites (n = 35, 95%) the content was easy to find. Only two websites had a readability score of 6, while the others had higher scores. Regarding the user experience, the overall quality of websites was rated as excellent in 16 (43%), good in 14 (38%), and fair in 7 (19%). CONCLUSIONS: Our findings reveal that websites with information about immune checkpoint inhibitors mostly have general information about cancer, the treatments, and adverse events. Few websites provide information about the balance between harms and benefits of treatment, costs, the source of the information, or the hierarchy of evidence. These findings identify the gap in the quality and content of websites for patients treated with immune checkpoint inhibitors and can help website creators and developers.


Assuntos
Informação de Saúde ao Consumidor , Compreensão , Humanos , Inibidores de Checkpoint Imunológico , Internet , Ferramenta de Busca
20.
Environ Monit Assess ; 194(12): 896, 2022 Oct 17.
Artigo em Inglês | MEDLINE | ID: mdl-36251103

RESUMO

Anthropogenic activity is a major driving factor of greenhouse gas emission, leading to climate change worldwide. So, the best natural approach to lowering the carbon from the atmosphere is mangroves which have more potential to sequestrate carbon. But mangroves are under threat due to land use land cover change. This research has been carried out on the mangroves of Gulf of Khambhat, Gujarat, India, where anthropic activity is affecting the mangrove forest cover with spatiotemporal heterogeneity. In the present study, multi-temporal high-resolution satellite data AVNIR-2 (Advanced Visible and Near Infrared Radiometer type-2) and LISS-4 (Linear Imaging Self-Scanning Sensors-4) were used for the demarcation of various land use/land cover class (LULC), and change analysis and assessment of mangroves health for the years 2009, 2014, and 2019. The impact of saltpan/aquaculture on mangroves growth and its health status has been calculated by various MODIS (Moderate Resolution Imaging Spectroradiometer) satellite data products such as gross primary productivity (GPP), enhanced vegetation index (EVI), and leaf area index (LAI) in Google Earth Engine (GEE), and field-based method was also considered. This study suggests that there is a marginal increase (17.11 km2) in mangrove cover during the assessment period 2009-2019; on other side, 65.42 km2 was degraded also. However, increase in saltpan/aquaculture is imposing an adverse effect on mangroves' basal area, plant density, and productivity. Change analysis also suggests a reduction in healthy mangrove area (from 25.20 to 2.84 km2), which will have an impact on ecosystem services.


Assuntos
Ecossistema , Gases de Efeito Estufa , Carbono , Monitoramento Ambiental , Nível de Saúde , Ferramenta de Busca
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