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1.
PLoS One ; 16(10): e0258189, 2021.
Artigo em Inglês | MEDLINE | ID: mdl-34614032

RESUMO

Is Google Trends (GT) useful to survey populations? Extant work has shown that certain search queries reflect the attitudes of hard-to-survey populations, but we do not know if this extends to the general population. In this article, we leverage abundant data from the Covid-19 pandemic to assess whether people's worries about the pandemic match epidemiological trends as well as political preferences. We use the string 'will I die from coronavirus' on GT as the measure for people's level of distress regarding Covid-19. We also test whether concern for coronavirus is a partisan issue by contrasting GT data and 2016 election results. We find strong evidence that (1) GT search volume close matches epidemiological data and (2) significant differences exist between states that supported Clinton or Trump in 2016.


Assuntos
COVID-19/psicologia , Medo , Política , Ferramenta de Busca , Adulto , COVID-19/mortalidade , Feminino , Humanos , Masculino , Pessoa de Meia-Idade , Pandemias
2.
J Am Podiatr Med Assoc ; 111(4)2021 Jul 01.
Artigo em Inglês | MEDLINE | ID: mdl-34478531

RESUMO

BACKGROUND: Google Trends proves to be a novel tool to ascertain the level of public interest in pathology and treatments. From anticipating nascent epidemics with data-driven prevention campaigns to identifying interest in cosmetic or bariatric surgery, Google Trends provides physicians real-time insight into the latest consumer trends. METHODS: We used Google Trends to identify temporal trends and variation in the search volume index of four groups of keywords that assessed practitioner-nomenclature inquiries, in addition to podiatric-specific searches for pain, traumatic injury, and common podiatric pathology over a 10-year period. The Mann-Kendall trend test was used to determine a trend in the series, and the Wilcoxon signed-rank test was used to determine whether there was a significant difference between summer and winter season inquiries. Significance was set at P ≤ .05. RESULTS: The terms "podiatrist" and "foot doctor" experienced increasing Search Volume Index (SVI) and seasonal variation, whereas the terms "foot surgeon" and "podiatric surgeon" experienced no such increase. "Foot pain," "heel pain," "toe pain," and "ankle pain" experienced a significant increase in SVI, with "foot pain" maintaining the highest SVI at all times. Similar results were seen with the terms "foot fractures," "bunion," "ingrown toenail," and "heel spur." These terms all experienced statistically significant increasing trends; moreover, the SVI was significantly higher in the summer than in the winter for each of these terms. CONCLUSIONS: The results of this study show the utility in illustrating seasonal variation in Internet interest of pathologies today's podiatrist commonly encounters. By identifying the popularity and seasonal variation of practitioner- and pathology-specific search inquiries, resources can be allocated to effectively address current public inquiries. With this knowledge, providers can learn what podiatric-specific interests are trending in their local communities and market their practice accordingly throughout the year.


Assuntos
Cirurgia Bariátrica , Ferramenta de Busca , Tornozelo , Humanos , Estações do Ano
3.
Cien Saude Colet ; 26(suppl 2): 3517-3525, 2021.
Artigo em Português | MEDLINE | ID: mdl-34468647

RESUMO

Google algorithms record trends in interest on topics relevant to public health. WEB searches were analyzed (2014-2019) to identify patterns linked to prostate cancer. Relative Search Volumes (RSV) were analyzed by Google Trends on "prostate cancer" (PC), "prostate examination" (PE) and "PSA"; 260-week time series; Brazil region; Health category; Trend lines (degree 2 polynomials) to identify patterns; Averages compared by ANOVA; Sudden increase in November searches; Searches on PC greatly surpass PE and PSA; Stable annual PC averages; Discreet reduction in PE; Marked increase in PSA. In campaign months: Discreet increase in PC; stability in PE; Marked increase in PSA. "Blue November" campaigns encourage early identification of prostate cancer, although interest is seen to be focused on the disease per se with a lack of interest in diagnosis throughout the year. Differences in relation to "Pink October" are discussed - tenuous relation to educational level on prevention habits and the influence of celebrities. The conclusion drawn is that RSV analysis might be useful in tracking trends in prostate cancer screening to provide input for campaign developers.


Assuntos
Detecção Precoce de Câncer , Neoplasias da Próstata , Humanos , Masculino , Antígeno Prostático Específico , Neoplasias da Próstata/diagnóstico , Neoplasias da Próstata/epidemiologia , Neoplasias da Próstata/prevenção & controle , Saúde Pública , Ferramenta de Busca
4.
Environ Monit Assess ; 193(10): 669, 2021 Sep 23.
Artigo em Inglês | MEDLINE | ID: mdl-34554331

RESUMO

One of the main sources of greenhouse gases is forest fire, with carbon dioxide as its main constituent. With increasing global surface temperatures, the probability of forest fire events also increases. A method that enables rapid quantification of emissions is even more necessary to estimate the environmental impact. This study introduces the application of the Google Earth Engine platform to monitor burned areas in forest fire events in Mount Arjuno, Indonesia, during the 2016-2019 period, using Landsat-8 and Sentinel-2 satellite imageries. The events particularly affected grassland and tropical forest areas, as well as a fraction of agricultural areas, with a total estimated emission of 2.5 × 103 tCO2/km2 burned area. Higher carbon dioxide emissions were also observed, consistent with the higher local surface temperature as well as the CO total column mixing ratio average retrieved from Sentinel-5 p Tropospheric Monitoring Instrument during the period of analysis.


Assuntos
Incêndios , Incêndios Florestais , Dióxido de Carbono/análise , Computação em Nuvem , Monitoramento Ambiental , Ferramenta de Busca
6.
J Med Internet Res ; 23(9): e24554, 2021 09 29.
Artigo em Inglês | MEDLINE | ID: mdl-34586079

RESUMO

BACKGROUND: Norovirus is a contagious disease. The transmission of norovirus spreads quickly and easily in various ways. Because effective methods to prevent or treat norovirus have not been discovered, it is important to rapidly recognize and report norovirus outbreaks in the early phase. Internet search has been a useful method for people to access information immediately. With the precise record of internet search trends, internet search has been a useful tool to manifest infectious disease outbreaks. OBJECTIVE: In this study, we tried to discover the correlation between internet search terms and norovirus infection. METHODS: The internet search trend data of norovirus were obtained from Google Trends. We used cross-correlation analysis to discover the temporal correlation between norovirus and other terms. We also used multiple linear regression with the stepwise method to recognize the most important predictors of internet search trends and norovirus. In addition, we evaluated the temporal correlation between actual norovirus cases and internet search terms in New York, California, and the United States as a whole. RESULTS: Some Google search terms such as gastroenteritis, watery diarrhea, and stomach bug coincided with norovirus Google Trends. Some Google search terms such as contagious, travel, and party presented earlier than norovirus Google Trends. Some Google search terms such as dehydration, bar, and coronavirus presented several months later than norovirus Google Trends. We found that fever, gastroenteritis, poison, cruise, wedding, and watery diarrhea were important factors correlated with norovirus Google Trends. In actual norovirus cases from New York, California, and the United States as a whole, some Google search terms presented with, earlier, or later than actual norovirus cases. CONCLUSIONS: Our study provides novel strategy-based internet search evidence regarding the epidemiology of norovirus.


Assuntos
Infecções por Coronavirus , Gastroenterite , Norovirus , Infecções por Coronavirus/epidemiologia , Surtos de Doenças , Humanos , Internet , Ferramenta de Busca , Estados Unidos/epidemiologia
7.
Artigo em Inglês | MEDLINE | ID: mdl-34360080

RESUMO

(1) Every day, people with functional diversity face different kinds of difficulties that pose a barrier to their social inclusion. These difficulties often go unnoticed by most citizens. Social networks are a powerful tool to sensitize the population. With this objective, different organizations such as associations, federations, foundations, and other institutions have promoted campaigns through the celebration of world days for different types of functional diversity. This research aims to monitor and analyze the impact of these social campaigns in Spain, including Asperger's syndrome, rare diseases, Down syndrome, autism, hearing and visual impairment, cerebral palsy, dyslexia, ADHD, spina bifida, disability, and dyscalculia world days, between 2015 and 2020. (2) The impact of each campaign on the press, Google, and Twitter has been analyzed using: MyNews, Google Trends, and Trendinalia. (3) The results suggest a close relationship between the impact on the number of pieces of news generated in the press, the searches on Google, and the hashtags in high positions on Twitter. (4) The campaigns with the greatest levels of success are those whose diagnoses involve greater difficulties in adaptive behavior. These results can provide some practical implications for future campaigns.


Assuntos
Transtorno Autístico , Mídias Sociais , Humanos , Ferramenta de Busca , Espanha
8.
Einstein (Sao Paulo) ; 19: eAO5969, 2021.
Artigo em Inglês, Português | MEDLINE | ID: mdl-34346987

RESUMO

OBJECTIVE: To assess Google Trends accuracy for epidemiological surveillance of dengue and yellow fever, and to compare the incidence of these diseases with the popularity of its terms in the state of São Paulo. METHODS: Retrospective cohort. Google Trends survey results were compared to the actual incidence of diseases, obtained from Centro de Vigilância Epidemiológica "Prof. Alexandre Vranjac", in São Paulo, Brazil, in periods between 2017 and 2019. The correlation was calculated by Pearson's coefficient and cross-correlation function. The accuracy was analyzed by sensitivity and specificity values. RESULTS: There was a statistically significant correlation between the variables studied for both diseases, Pearson coefficient of 0.91 for dengue and 0.86 for yellow fever. Correlation with up to 4 weeks of anticipation for time series was identified. Sensitivity was 87% and 90%, and specificity 69% and 78% for dengue and yellow fever, respectively. CONCLUSION: The incidence of dengue and yellow fever in the State of São Paulo showed a strong correlation with the popularity of its terms measured by Google Trends in weekly periods. Google Trends tool provided early warning, with high sensitivity, for the detection of outbreaks of these diseases.


Assuntos
Dengue , Febre Amarela , Brasil/epidemiologia , Dengue/epidemiologia , Surtos de Doenças , Humanos , Estudos Retrospectivos , Ferramenta de Busca , Febre Amarela/epidemiologia
9.
Artigo em Inglês | MEDLINE | ID: mdl-34360134

RESUMO

BACKGROUND: The COVID-19 pandemic has globally overwhelmed all sectors of life. The fast development of vaccines against COVID-19 has had a significant impact on the course of the pandemic. METHODS: Global data from Google Trends was analyzed for vaccines against flu, BCG, HPV, pneumococcal disease, polio, and COVID-19. The time frame includes the last five-year period starting from 17 April 2016. Multiple training of time series models with back testing, including Holt-Winters forecasting, Exponential Smoothing State Space, Linear model with trend and seasonal components (tlsm), and ARIMA was conducted. Forecasting according to the best fitting model was performed. RESULTS: Correlation analysis did not reveal a decrease in interest in vaccines during the analyzed period. The prediction models provided a short-term forecast of the dynamics of interest for flu, HPV, pneumococcal and polio vaccines with 5-10% growth in interest for the first quarter of 2022 when compared to the same quarter of 2021. CONCLUSIONS: Despite the huge interest in the COVID-19 vaccine, there has not been a detectable decline in the overall interest in the five analyzed vaccines.


Assuntos
COVID-19 , Pandemias , Vacinas contra COVID-19 , Humanos , Vacinas Pneumocócicas , SARS-CoV-2 , Ferramenta de Busca
10.
BMC Public Health ; 21(1): 1516, 2021 08 06.
Artigo em Inglês | MEDLINE | ID: mdl-34362345

RESUMO

BACKGROUND: Detection of the seasonal patterns of healthy and unhealthy behavior could be helpful for designing individual and population health interventions programs. This study investigates the seasonal variation in sales of common types of products in Poland and Polish Google queries related to healthy behavior. METHODS: Data of index sales from a large Polish retail store franchise, from January 2014 to August 2019, has been analyzed. The commercial data included twelve types of products. The interest of Google users was investigated using Google Trends statistics for the same period for six lifestyle-related topics. The seasonality was checked using time series analysis. RESULTS: Six of the consumer goods (dairy, ready-made meals, salty snacks, meats, beer, and cigarettes) were most commonly purchased in summer months, four (processed fish, food fats, wine, and alcohol 30%+) in December, and two (bread and sweets) in October. The lowest sales indexes were observed mostly in February. The interest in four topics that have been analyzed ("Diet," "Dietitian," "Weight loss," and "Gym"), was highest in January, while interest in "Dietary supplements" was high in February, and "Running" in May. The search volume of the Google topics were the lowest in December. CONCLUSION: The purchase of food, drinks, and cigarettes, and the interest in information regarding different components of a healthy lifestyle has seasonal variation. New Year and Lent might be good periods to encourage healthy behavior. The motivation may decrease in summer and during Christmas.


Assuntos
Estilo de Vida , Ferramenta de Busca , Animais , Comércio , Humanos , Polônia , Estações do Ano
11.
BMC Public Health ; 21(1): 1575, 2021 08 21.
Artigo em Inglês | MEDLINE | ID: mdl-34416859

RESUMO

BACKGROUND: Salmonella infection (salmonellosis) is a common infectious disease leading to gastroenteritis, dehydration, uveitis, etc. Internet search is a new method to monitor the outbreak of infectious disease. An internet-based surveillance system using internet data is logistically advantageous and economical to show term-related diseases. In this study, we tried to determine the relationship between salmonellosis and Google Trends in the USA from January 2004 to December 2017. METHODS: We downloaded the reported salmonellosis in the USA from the National Outbreak Reporting System (NORS) from January 2004 to December 2017. Additionally, we downloaded the Google search terms related to salmonellosis from Google Trends in the same period. Cross-correlation analysis and multiple regression analysis were conducted. RESULTS: The results showed that 6 Google Trends search terms appeared earlier than reported salmonellosis, 26 Google Trends search terms coincided with salmonellosis, and 16 Google Trends search terms appeared after salmonellosis were reported. When the search terms preceded outbreaks, "foods" (t = 2.927, P = 0.004) was a predictor of salmonellosis. When the search terms coincided with outbreaks, "hotel" (t = 1.854, P = 0.066), "poor sanitation" (t = 2.895, P = 0.004), "blueberries" (t = 2.441, P = 0.016), and "hypovolemic shock" (t = 2.001, P = 0.047) were predictors of salmonellosis. When the search terms appeared after outbreaks, "ice cream" (t = 3.077, P = 0.002) was the predictor of salmonellosis. Finally, we identified the most important indicators of Google Trends search terms, including "hotel" (t = 1.854, P = 0.066), "poor sanitation" (t = 2.895, P = 0.004), "blueberries" (t = 2.441, P = 0.016), and "hypovolemic shock" (t = 2.001, P = 0.047). In the future, the increased search activities of these terms might indicate the salmonellosis. CONCLUSION: We evaluated the related Google Trends search terms with salmonellosis and identified the most important predictors of salmonellosis outbreak.


Assuntos
Gastroenterite , Infecções por Salmonella , Surtos de Doenças , Previsões , Gastroenterite/epidemiologia , Humanos , Internet , Ferramenta de Busca
12.
Eur J Obstet Gynecol Reprod Biol ; 264: 330-335, 2021 Sep.
Artigo em Inglês | MEDLINE | ID: mdl-34365137

RESUMO

OBJECTIVE: The objective of this study was to evaluate the quality of information on the internet about vaginal meshes available to the general population. STUDY DESIGN: The terms "vaginal sling," "sling vagina," "vaginal mesh," "mesh vagina," "vaginal tape," and "tape vagina" were used every time on three major search engines, and the first 10 websites retrieved by each search engine were selected and evaluated using the DISCERN questionnaire. The websites were divided into four categories based on the type of agency that created the website. These included websites created by private health institutions, non-private health institutions, and non-health institutions and websites for encyclopedias, libraries, articles and scientific papers. They were compared in terms of the reliability, information quality, and total DISCERN score. RESULTS: The survey yielded 98 different websites; after applying the exclusion criteria, 62 sites were selected. Websites for articles, magazines, libraries, and encyclopedias and those by non-private health services had significantly high scores for the reliability dimension of the DISCERN tool as compared to the other two website categories (p < 0.05). Regarding the quality of information, websites for non-specific health services and those for articles, magazines, libraries, and encyclopedias presented significantly lower scores as compared to the other two website categories. Websites for non-specific health services had significantly lower average total DISCERN points when compared to other website categories. The websites for private health services and those for articles, magazines, libraries, and encyclopedias had significantly lower DISCERN scores than the websites for non-private health services did. CONCLUSION: Our findings showed that the quality of information regarding vaginal meshes on the first 10 websites on major search engines was moderate.


Assuntos
Internet , Ferramenta de Busca , Feminino , Humanos , Reprodutibilidade dos Testes , Vagina
13.
Int J Infect Dis ; 111: 12-20, 2021 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-34391908

RESUMO

OBJECTIVES: To evaluate the impact of the World Antimicrobial Awareness Week (WAAW) on public awareness of antimicrobial resistance using Google Trends analysis. METHODS: The impact of WAAW on public awareness of 'antimicrobial resistance' (AMR), 'antibacterial', and 'antibiotics' in Japan, the UK, the United States, and worldwide from 2015 to 2020 was analyzed, using the relative search volume (RSV) of Google Trends as a surrogate. A joinpoint regression analysis was performed to identify a statistically significant time point of a change in trend. RESULTS: No joinpoints around WAAW were identified in Japan, the United Kingdom, or the United States from 2015 to 2020 with RSVs of 'AMR', whereas increasing RSVs were noted worldwide in 2017 and 2020. Further, there were decreasing RSVs of 'antibiotics' in the first half of 2020, which could be due to the COVID-19 pandemic. The study results suggest that WAAW did little to improve public awareness of AMR in the selected countries despite its contribution worldwide. CONCLUSIONS: This study implies that we need to develop a more effective method to improve public awareness to fight against AMR.


Assuntos
COVID-19 , Pandemias , Antibacterianos/uso terapêutico , Humanos , SARS-CoV-2 , Ferramenta de Busca , Estados Unidos/epidemiologia
14.
J Affect Disord ; 294: 737-744, 2021 Nov 01.
Artigo em Inglês | MEDLINE | ID: mdl-34348169

RESUMO

BACKGROUND: Google Trends data are increasingly used by researchers as an indicator of population mental health, but few studies have investigated the validity of this approach during a public health emergency. METHODS: Relative search volumes (RSV) for the topics depression, anxiety, self-harm, suicide, suicidal ideation, loneliness, and abuse were obtained from Google Trends. We used graphical and time-series approaches to compare daily trends in searches for these topics against population measures of these outcomes recorded using validated self-report scales (PHQ-9; GAD-7; UCLA-3) in a weekly survey (n = ~70,000) of the impact COVID-19 on psychological and social experiences in the UK population (21/03/2020 to 21/08/ 2020). RESULTS: Self-reported levels of depression, anxiety, self-harm/suicidal ideation, self-harm, loneliness and abuse decreased during the period studied. There was no evidence of an association between self-reported anxiety, self-harm, abuse and RSV on Google Trends. Trends in Google topic RSV for depression and suicidal ideation were inversely associated with self-reports of these outcomes (p = 0.03 and p = 0.04, respectively). However, there was statistical and graphical evidence that self-report and Google searches for loneliness (p < 0.001) tracked one another. LIMITATIONS: No age/sex breakdown of Google Trends data available. Survey respondents were not representative of the UK population and no pre-pandemic data were available. CONCLUSION: Google Trends data do not appear to be a useful indicator of changing levels of population mental health during a public health emergency, but may have some value as an indicator of loneliness.


Assuntos
COVID-19 , Saúde Pública , Ansiedade/epidemiologia , Humanos , SARS-CoV-2 , Ferramenta de Busca
15.
Int J Health Geogr ; 20(1): 37, 2021 08 18.
Artigo em Inglês | MEDLINE | ID: mdl-34407813

RESUMO

BACKGROUND: Geographic information systems (GIS) are often used to examine the association between both physical activity and nutrition environments, and children's health. It is often assumed that geospatial datasets are accurate and complete. Furthermore, GIS datasets regularly lack metadata on the temporal specificity. Data is usually provided 'as is', and therefore may be unsuitable for retrospective or longitudinal studies of health outcomes. In this paper we outline a practical approach to both fill gaps in geospatial datasets, and to test their temporal validity. This approach is applied to both district council and open-source datasets in the Taranaki region of Aotearoa New Zealand. METHODS: We used the 'streetview' python script to download historic Google Street View (GSV) images taken between 2012 and 2016 across specific locations in the Taranaki region. Images were reviewed and relevant features were incorporated into GIS datasets. RESULTS: A total of 5166 coordinates with environmental features missing from council datasets were identified. The temporal validity of 402 (49%) environmental features was able to be confirmed from council dataset considered to be 'complete'. A total of 664 (55%) food outlets were identified and temporally validated. CONCLUSIONS: Our research indicates that geospatial datasets are not always complete or temporally valid. We have outlined an approach to test the sensitivity and specificity of GIS datasets using GSV images. A substantial number of features were identified, highlighting the limitations of many GIS datasets.


Assuntos
Sistemas de Informação Geográfica , Ferramenta de Busca , Criança , Exercício Físico , Humanos , Nova Zelândia/epidemiologia , Características de Residência , Estudos Retrospectivos
16.
J Laryngol Otol ; 135(11): 976-980, 2021 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-34392845

RESUMO

OBJECTIVE: There is limited understanding amongst patients and parents of paediatric patients regarding adenoidectomy. Most patients access health-related information online. The aim of this study was to assess the suitability of online information on adenoidectomy. METHOD: The term 'adenoid' was used to search Google, and the first 50 websites identified were screened. For each website, the readability and quality were assessed. RESULTS: Of the 41 websites that met the inclusion criteria, the mean readability scores corresponded to 'difficult to read' and university-level reading categories. For the quality of the websites, the mean score corresponded to 'fair' with 39 per cent of the websites containing either 'poor' or 'very poor' quality data. The ENT UK information is one of the most readable and reliable online resources. CONCLUSION: The online information on adenoidectomy is largely set at an inappropriate readability level and of variable quality. Surgeons should consider assisting their patients with online searches regarding adenoidectomy.


Assuntos
Adenoidectomia , Informação de Saúde ao Consumidor/normas , Compreensão , Humanos , Internet , Pais , Garantia da Qualidade dos Cuidados de Saúde , Reprodutibilidade dos Testes , Ferramenta de Busca
17.
J Chem Inf Model ; 61(8): 3868-3880, 2021 08 23.
Artigo em Inglês | MEDLINE | ID: mdl-34338504

RESUMO

This paper describes the implementation and evaluation of a proof-of-concept Question Answering (QA) system for accessing chemical data from knowledge graphs (KGs) which offer data from chemical kinetics to the chemical and physical properties of species. We trained the question classification and named the entity recognition models that specialize in interpreting chemistry questions. The system has a novel design which applies a topic model to identify the question-to-ontology affiliation to handle ontologies with different structures. The topic model also helps the system to provide answers with a higher quality. Moreover, a new method that automatically generates training questions from ontologies is also implemented. The question set generated for training contains 432,989 questions under 11 types. Such a training set has been proven to be effective for training both the question classification model and the named entity recognition model. We evaluated the system using other KGQA systems as baselines. The system outperforms the chosen KGQA system answering chemistry-related questions. The QA system is also compared to the Google search engine and the WolframAlpha engine. It shows that the QA system can answer certain types of questions better than the search engines.


Assuntos
Ferramenta de Busca
18.
Int J Infect Dis ; 109: 269-278, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-34273513

RESUMO

OBJECTIVE: Incorporating spatial analyses and online health information queries may be beneficial in understanding the role of Google relative search volume (RSV) data as a secondary public health surveillance tool during pandemics. This study identified coronavirus disease 2019 (COVID-19) clustering and defined the predictability performance of Google RSV models in clustered and non-clustered areas of the USA. METHODS: Getis-Ord General and local G statistics were used to identify monthly clustering patterns. Monthly country- and state-level correlations between new daily COVID-19 cases and Google RSVs were assessed using Spearman's rank correlation coefficients and Poisson regression models for January-December 2020. RESULTS: Huge clusters involving multiple states were found, which resulted from various control measures in each state. This demonstrates the importance of state-to-state coordination in implementing control measures to tackle the spread of outbreaks. Variability in Google RSV model performance was found among states and time periods, possibly suggesting the need to use different frameworks for Google RSV data in each state. Moreover, the sign of correlation can be utilized to understand public responses to control and preventive measures, as well as in communicating risk. CONCLUSION: COVID-19 Google RSV model accuracy in the USA may be influenced by COVID-19 transmission dynamics, policy-driven community awareness and past outbreak experiences.


Assuntos
COVID-19 , Ferramenta de Busca , Humanos , Pandemias , Vigilância em Saúde Pública , SARS-CoV-2
19.
Sci Total Environ ; 795: 148829, 2021 Nov 15.
Artigo em Inglês | MEDLINE | ID: mdl-34252779

RESUMO

While droughts and floods have intensified in recent years, only a handful of studies have assessed their impacts on croplands and production in Southeast Asia. Here, we used the Google Earth Engine to assess the droughts and floods and their impacts on croplands and crop production over 40 years from 1980 to 2019. Using the Palmer Drought Severity Index (PDSI) as the basis for determining the drought and flood levels, and crop damage levels, crop production loss in both the Monsoon Climate Region (MCR) and the Equatorial Climate Region (ECR) of Southeast Asia was assessed over 47,192 grid points with 10 × 10-kilometer resolution. We found that rainfed crops were severely affected by droughts in the MCR and floods in the ECR. About 9.42 million ha and 3.72 million ha of cropland was damaged by droughts and floods, respectively. We estimated a total loss of 20.64 million tons of crop production between 2015 and 2019. Rainfed crops in Thailand, Cambodia, and Myanmar were strongly affected by droughts, whereas Indonesia, the Philippines, and Malaysia were more affected by floods over the same period. Accordingly, four levels of policy interventions were prioritized by considering the geolocated crop damage levels.


Assuntos
Secas , Inundações , Mudança Climática , Produção Agrícola , Produtos Agrícolas , Ferramenta de Busca , Tailândia
20.
Sci Rep ; 11(1): 14387, 2021 07 13.
Artigo em Inglês | MEDLINE | ID: mdl-34257381

RESUMO

This study aims to evaluate the monitoring and predictive value of web-based symptoms (fever, cough, dyspnea) searches for COVID-19 spread. Daily search interests from Turkey, Italy, Spain, France, and the United Kingdom were obtained from Google Trends (GT) between January 1, 2020, and August 31, 2020. In addition to conventional correlational models, we studied the time-varying correlation between GT search and new case reports; we used dynamic conditional correlation (DCC) and sliding windows correlation models. We found time-varying correlations between pulmonary symptoms on GT and new cases to be significant. The DCC model proved more powerful than the sliding windows correlation model. This model also provided better at time-varying correlations (r ≥ 0.90) during the first wave of the pandemic. We used a root means square error (RMSE) approach to attain symptom-specific shift days and showed that pulmonary symptom searches on GT should be shifted separately. Web-based search interest for pulmonary symptoms of COVID-19 is a reliable predictor of later reported cases for the first wave of the COVID-19 pandemic. Illness-specific symptom search interest on GT can be used to alert the healthcare system to prepare and allocate resources needed ahead of time.


Assuntos
COVID-19/diagnóstico , Ferramenta de Busca/estatística & dados numéricos , Correlação de Dados , França , Humanos , Itália , Espanha , Turquia , Reino Unido
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