1986 10 20655 https://www.socictopen.socict.org/files/original/de2e42e6b64adc52c566f1668fcb742a.pdf 38f63ce61e2e6d8a240d70355fad608f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Uncertainty in the Impact of the COVID-19 Pandemic on Air Quality in Hong Kong, China Creator An entity primarily responsible for making the resource Yuhan Huang, John L. Zhou, Yang Yu, Wai-chuen Mok, Casey F.C. Lee, Yat-shing Yam Description An account of the resource Strict social distancing rules are being implemented to stop the spread of COVID-19 pandemic in many cities globally, causing a sudden and extreme change in the transport activities. This offers a unique opportunity to assess the effect of anthropogenic activities on air quality and provides a valuable reference to the policymakers in developing air quality control measures and projecting their effectiveness. In this study, we evaluated the effect of the COVID-19 lockdown on the roadside and ambient air quality in Hong Kong, China, by comparing the air quality monitoring data collected in January–April 2020 with those in 2017–2019. The results showed that the roadside and ambient NO2, PM10, PM2.5, CO and SO2 were generally reduced in 2020 when comparing with the historical data in 2017–2019, while O3 was increased. However, the reductions during COVID-19 period (i.e., February–April) were not always higher than that during pre-COVID-19 period (i.e., January). In addition, there were large seasonal variations in the monthly mean pollutant concentrations in every year. This study implies that one air pollution control measure may not generate obvious immediate improvements in the air quality monitoring data and its effectiveness should be evaluated carefully to eliminate the effect of seasonal variations. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, criteria pollutants, traffic disruption, roadside and ambient air quality Identifier An unambiguous reference to the resource within a given context 10.3390/atmos11090914 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Meteorology. Climatology https://www.socictopen.socict.org/files/original/ace08cb217ee11c7fa45e58e2a29a066.pdf e9f299019a531382e7fd5c7e713187eb Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unclear Issues Regarding COVID-19 Creator An entity primarily responsible for making the resource İlim Irmak, Nagehan Emiralioglu, Neslihan Özçelik, Selçuk Gürz, Hüseyin Arıkan, Bilge Yılmaz Kara, Fatma Gülsüm Karakaş, Pinar Yildiz Gulhan, Fatma Tokgöz Akyıl, Merve ERÇELİK, Metin Akgun, Dilek Karadoğan, Fatma Esra Günaydın, Elif DEVELİ, Zehra Nur TÖREYİN, Neslihan Köse, Tugba Sismanlar Eyuboglu, Tugba Ramaslı Gursoy, Canan Gündüz Gürkan, Aycan Yüksel, İrem Şerifoğlu, Feride Marim, Hilal Özakıncı, Berrin Er, Asena Aydın, Dorina Esendağlı, Ümran Özden Sertçelik, Selman Celik, Mehmet Fatih Elversli, Asli Oncel, Ali Firincioglulari, Ethem Yildiz Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource - Identifier An unambiguous reference to the resource within a given context DOI: 10.5152/eurasianjmed.2020.20092 Source A related resource from which the described resource is derived Eurasian Journal of Medicine Publisher An entity responsible for making the resource available AVES Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine (General) https://www.socictopen.socict.org/files/original/f8efbc75460199c8ae8781b0de8cd450.pdf 9cf4c02a64ef6a22ab5b93da054b3439 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Uncommon Atypical Presentations of COVID-19: Important and Should Not be Under Recognized! Creator An entity primarily responsible for making the resource Sim Sai, Viroj Wiwanitkit Description An account of the resource Coronavirus disease 2019 (COVID-19) is a new viral disease that has become a global public health concern in 2020. This disease is caused by a novel coronavirus firstly detected in the People’s Republic of China. This viral infection can cause febrile illness and respiratory problems. There are other uncommon clinical presentations of COVID-19 such as afebrile illness, diarrhea, non-coughing and confusion. These atypical presentations can result in difficulty in diagnosing the disease. In this short review, the authors specifically discuss the important uncommon atypical presentations of COVID-19. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource atypical, COVID-19, manifestation Identifier An unambiguous reference to the resource within a given context DOI: 10.31584/jhsmr.2020733 Source A related resource from which the described resource is derived Journal of Health Science and Medical Research (JHSMR) Publisher An entity responsible for making the resource available Prince of Songkla University Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine Language A language of the resource EN https://www.socictopen.socict.org/files/original/9adf0060aa23e515f1495d72c09d39f9.pdf 6219e2b0c810c777fee147ee86cc04f5 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unconventional Answers to Unprecedented Challenges: The Swedish Experience During the COVID-19 Outbreak Creator An entity primarily responsible for making the resource Giuseppe Valeriani, Iris Sarajlic Vukovic, Richard Mollica Description An account of the resource Since its early stages, the coronavirus disease 2019 (COVID-19) pandemic has posed immense challenges in meeting the public health and healthcare and social care needs of migrants. In line with other reports from United Kingdom and United States, data from Sweden’s health authority show that migrants have been disproportionately affected by COVID-19. Following the World Health Organization’s statements, as well as the European Public Health Association’s call for action, several centres in Sweden’s most populated areas have activated tools to implement national plans for community outreach through initiatives targeting migrants and ethnic minority groups. Unconventional means should be promoted to mitigate the impact of COVID-19 on migrants and the health of the public at large. Date A point or period of time associated with an event in the lifecycle of the resource 2020 Subject The topic of the resource covid-19, telemedicine, migrants, health care delivery, community health Identifier An unambiguous reference to the resource within a given context 10.3961/jpmph.20.235 Source A related resource from which the described resource is derived Journal of Preventive Medicine and Public Health Publisher An entity responsible for making the resource available Korean Society for Preventive Medicine Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Medicine, Public aspects of medicine https://www.socictopen.socict.org/files/original/2334ddcacfdf3ce45334b52a100f2f4a.pdf a67f568279d29f41d199180fd40d485a Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Unconventional Use of LC3 by Coronaviruses through the Alleged Subversion of the ERAD Tuning Pathway Creator An entity primarily responsible for making the resource Fulvio Reggiori, Cornelis A.M. De Haan, Maurizio Molinari Description An account of the resource Pathogens of bacterial and viral origin hijack pathways operating in eukaryotic cells in many ways in order to gain access into the host, to establish themselves and to eventually produce their progeny. The detailed molecular characterization of the subversion mechanisms devised by pathogens to infect host cells is crucial to generate targets for therapeutic intervention. Here we review recent data indicating that coronaviruses probably co-opt membranous carriers derived from the endoplasmic reticulum, which contain proteins that regulate disposal of misfolded polypeptides, for their replication. In addition, we also present models describing potential mechanisms that coronaviruses could employ for this hijacking. Date A point or period of time associated with an event in the lifecycle of the resource 2011 Subject The topic of the resource coronaviruses, nidoviruses, double membrane vesicles, MHV, SARS-coronavirus, Autophagy, EDEMosomes, EDEM1, OS-9, ERAD, ER quality control Identifier An unambiguous reference to the resource within a given context DOI: 10.3390/v3091610 Source A related resource from which the described resource is derived Viruses Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Microbiology Language A language of the resource EN https://www.socictopen.socict.org/files/original/6a16cfaff0e8224d675fc56534526845.pdf d294591d86108a4d6f2aca5d8256773f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Agricultura sostenible Description An account of the resource Dominio científico: Agricultura sostenible Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Uncooled Thermal Camera Calibration and Optimization of the Photogrammetry Process for UAV Applications in Agriculture Creator An entity primarily responsible for making the resource Krishna Ribeiro-Gomes, David Hernández-López, José F. Ortega, Rocío Ballesteros, Tomás Poblete, Miguel A. Moreno Description An account of the resource The acquisition, processing, and interpretation of thermal images from unmanned aerial vehicles (UAVs) is becoming a useful source of information for agronomic applications because of the higher temporal and spatial resolution of these products compared with those obtained from satellites. However, due to the low load capacity of the UAV they need to mount light, uncooled thermal cameras, where the microbolometer is not stabilized to a constant temperature. This makes the camera precision low for many applications. Additionally, the low contrast of the thermal images makes the photogrammetry process inaccurate, which result in large errors in the generation of orthoimages. In this research, we propose the use of new calibration algorithms, based on neural networks, which consider the sensor temperature and the digital response of the microbolometer as input data. In addition, we evaluate the use of the Wallis filter for improving the quality of the photogrammetry process using structure from motion software. With the proposed calibration algorithm, the measurement accuracy increased from 3.55 °C with the original camera configuration to 1.37 °C. The implementation of the Wallis filter increases the number of tie-point from 58,000 to 110,000 and decreases the total positing error from 7.1 m to 1.3 m. Date A point or period of time associated with an event in the lifecycle of the resource 2017 Subject The topic of the resource Irrigation management, Structure from Motion, image filtering, microbolometer, uncooled thermal camera calibration, unmanned aerial vehicle Identifier An unambiguous reference to the resource within a given context 10.3390/s17102173 Source A related resource from which the described resource is derived Sensors Publisher An entity responsible for making the resource available MDPI AG Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Chemical technology Relation A related resource <a href="https://www.mdpi.com/1424-8220/17/10/2173" target="_blank" rel="noreferrer noopener">https://www.mdpi.com/1424-8220/17/10/2173</a> https://www.socictopen.socict.org/files/original/97e228538b334190669632fafbc87032.pdf 7d276a116786fb14c4108f9ce0cd7dbd Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Under-reported COVID-19 cases in South Asian countries [version 1; peer review: 1 approved, 2 approved with reservations] Creator An entity primarily responsible for making the resource Muhanad Alhareky, Soban Qadir Khan, Imran Alam Moheet, Faraz Ahmed Farooqi, Faisal Alonaizan Description An account of the resource Background: The purpose of the study was to compare  trends in the progression of COVID-19 among South Asian countries with more developed Western countries. Methods: COVID-19 data from South Asian countries were used for this observational study. Data were taken up to April 21, 2020 from the outbreak of the COVID-19. Four of the seven countries met the inclusion criteria and were included in the analysis. Results: An exponential increase in the average number of weekly cases was reported after the fifth week following the first case. The correlation between reported cases and tests was found to be strong and significant (r=0.90, p=0.037). However, on average, 315.25 tests per million population were performed, which was at least 12 times lower than the number of tests performed in countries with a large number of COVID-19 cases. Conclusions: At present, the number of confirmed cases from South Asia was found to be significantly lower than in Western countries. However, this could be due to the smaller number of tests performed. Hence, an increase in the strength of performing diagnostic tests is highly recommended. Strict measures are required to make the people of these countries follow the instructions of social distancing and comply with preventive measures. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.12688/f1000research.36705.1 Source A related resource from which the described resource is derived Biotemas Publisher An entity responsible for making the resource available Universidade Federal de Santa Catarina Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Science, Medicine https://www.socictopen.socict.org/files/original/fc27424f3a53cd57f82325350d32866d.pdf 42b4b7d4e111e1b5d4b249729787c14f Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Under-Reporting of COVID-19 Cases Among Indigenous Peoples in Brazil: A New Expression of Old Inequalities Creator An entity primarily responsible for making the resource Martha Fellows, Valéria Paye, Ane Alencar, Mário Nicácio, Isabel Castro, Maria Emília Coelho, Maria Emília Coelho, Camila V. J. Silva, Camila V. J. Silva, Matheus Bandeira, Reinaldo Lourival, Reinaldo Lourival, Paulo Cesar Basta Description An account of the resource Objective: To estimate the incidence, mortality and lethality rates of COVID-19 among Indigenous Peoples in the Brazilian Amazon. Additionally, to analyze how external threats can contribute to spread the disease in Indigenous Lands (IL).Methods: The Brazilian Amazon is home to nearly half a million Indigenous persons, representing more than 170 ethnic groups. As a pioneer in heading Indigenous community-based surveillance (I-CBS) in Brazil, the Coordination of the Indigenous Organizations of the Brazilian Amazon (COIAB) started to monitor Indigenous COVID-19 cases in March of 2020. Brazil's Ministry of Health (MOH) was the main source of data regarding non-Indigenous cases and deaths; to contrast the government's tally, we used the information collected by I-CBS covering 25 Special Indigenous Sanitary Districts (DSEI) in the Brazilian Amazon. The incidence and mortality rates of COVID-19 were calculated using the total number of new cases and deaths accumulated between the 9th and 40th epidemiological weeks. We studied (a) the availability of health care facilities to attend to Indigenous Peoples; (b) illegal mines, land grabbing, and deforestation to perform a geospatial analysis to assess how external threats affect Indigenous incidence and mortality rates. We used the Generalized Linear Model (GLM) with Poisson regression to show the results.Results: MOH registered 22,127 cases and 330 deaths, while COIAB's survey recorded 25,356 confirmed cases and 670 deaths, indicating an under-reporting of 14 and 103%, respectively. Likewise, the incidence and mortality rates were 136 and 110% higher among Indigenous when compared with the national average. In terms of mortality, the most critical DSEIs were Alto Rio Solimões, Cuiabá, Xavante, Vilhena and Kaiapó do Pará. The GLM model reveals a direct correlation between deforestation, land grabbing and mining, and the incidence of cases among the Indigenous.Conclusion: Through this investigation it was possible to verify that not only the incidence and mortality rates due to COVID-19 among Indigenous Peoples are higher than those observed in the general population, but also that the data presented by the federal government are underreported. Additionally, it was evident that the presence of illegal economic activities increased the risk of spreading COVID-19 in ILs. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Subject The topic of the resource covid-19, underreporting, Inequalities, Brazilian Amazon, Indigenous Peoples, indigenous health system Identifier An unambiguous reference to the resource within a given context 10.3389/fpsyt.2021.638359 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Psychiatry https://www.socictopen.socict.org/files/original/be81737769ea3abd9ebf5d42c4f9040e.pdf fe55324c2ef186074783637a81424b77 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Understanding Behavioral Intentions Toward COVID-19 Vaccines: Theory-Based Content Analysis of Tweets Creator An entity primarily responsible for making the resource Liu, Siru, Liu, Jialin Description An account of the resource BackgroundAcceptance rates of COVID-19 vaccines have still not reached the required threshold to achieve herd immunity. Understanding why some people are willing to be vaccinated and others are not is a critical step to develop efficient implementation strategies to promote COVID-19 vaccines. ObjectiveWe conducted a theory-based content analysis based on the capability, opportunity, motivation–behavior (COM-B) model to characterize the factors influencing behavioral intentions toward COVID-19 vaccines mentioned on the Twitter platform. MethodsWe collected tweets posted in English from November 1-22, 2020, using a combination of relevant keywords and hashtags. After excluding retweets, we randomly selected 5000 tweets for manual coding and content analysis. We performed a content analysis informed by the adapted COM-B model. ResultsOf the 5000 COVID-19 vaccine–related tweets that were coded, 4796 (95.9%) were posted by unique users. A total of 97 tweets carried positive behavioral intent, while 182 tweets contained negative behavioral intent. Of these, 28 tweets were mapped to capability factors, 155 tweets were related to motivation, 23 tweets were related to opportunities, and 74 tweets did not contain any useful information about the reasons for their behavioral intentions (κ=0.73). Some tweets mentioned two or more constructs at the same time. Tweets that were mapped to capability (P Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.2196/28118 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine, Computer applications to medicine. Medical informatics https://www.socictopen.socict.org/files/original/c0be34798f1f4252905c96f8bef3d8ad.pdf b5ca1ace03436d2fdb388b9723644884 Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Coronavirus Description An account of the resource Dominio científico: Coronavirus Text A resource consisting primarily of words for reading. Examples include books, letters, dissertations, poems, newspapers, articles, archives of mailing lists. Note that facsimiles or images of texts are still of the genre Text. Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Understanding Concerns, Sentiments, and Disparities Among Population Groups During the COVID-19 Pandemic Via Twitter Data Mining: Large-scale Cross-sectional Study Creator An entity primarily responsible for making the resource Zhang, Chunyan, Xu, Songhua, Li, Zongfang, Hu, Shunxu Description An account of the resource BackgroundSince the beginning of the COVID-19 pandemic in late 2019, its far-reaching impacts have been witnessed globally across all aspects of human life, such as health, economy, politics, and education. Such widely penetrating impacts cast significant and profound burdens on all population groups, incurring varied concerns and sentiments among them. ObjectiveThis study aims to identify the concerns, sentiments, and disparities of various population groups during the COVID-19 pandemic through a cross-sectional study conducted via large-scale Twitter data mining infoveillance. MethodsThis study consisted of three steps: first, tweets posted during the pandemic were collected and preprocessed on a large scale; second, the key population attributes, concerns, sentiments, and emotions were extracted via a collection of natural language processing procedures; third, multiple analyses were conducted to reveal concerns, sentiments, and disparities among population groups during the pandemic. Overall, this study implemented a quick, effective, and economical approach for analyzing population-level disparities during a public health event. The source code developed in this study was released for free public use at GitHub. ResultsA total of 1,015,655 original English tweets posted from August 7 to 12, 2020, were acquired and analyzed to obtain the following results. Organizations were significantly more concerned about COVID-19 (odds ratio [OR] 3.48, 95% CI 3.39-3.58) and expressed more fear and depression emotions than individuals. Females were less concerned about COVID-19 (OR 0.73, 95% CI 0.71-0.75) and expressed less fear and depression emotions than males. Among all age groups (ie, ≤18, 19-29, 30-39, and ≥40 years of age), the attention ORs of COVID-19 fear and depression increased significantly with age. It is worth noting that not all females paid less attention to COVID-19 than males. In the age group of 40 years or older, females were more concerned than males, especially regarding the economic and education topics. In addition, males 40 years or older and 18 years or younger were the least positive. Lastly, in all sentiment analyses, the sentiment polarities regarding political topics were always the lowest among the five topics of concern across all population groups. ConclusionsThrough large-scale Twitter data mining, this study revealed that meaningful differences regarding concerns and sentiments about COVID-19-related topics existed among population groups during the study period. Therefore, specialized and varied attention and support are needed for different population groups. In addition, the efficient analysis method implemented by our publicly released code can be utilized to dynamically track the evolution of each population group during the pandemic or any other major event for better informed public health research and interventions. Date A point or period of time associated with an event in the lifecycle of the resource 2021 Identifier An unambiguous reference to the resource within a given context 10.2196/26482 Source A related resource from which the described resource is derived Epidemiology and Health Publisher An entity responsible for making the resource available Korean Society of Epidemiology Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Public aspects of medicine, Computer applications to medicine. Medical informatics