public behavior
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Author(s):  
Moran Bodas ◽  
Morel Ragoler ◽  
Yossi Rabby ◽  
Esther Krasner

Non-conventional terrorism (NCT) incorporates an extended dimension of uncertainty that can lead to fear among the public. Health officials have an unsubstantiated assumption that thousands will seek treatment in hospitals following NCT. This study aims to examine public behavioral intentions in the case of NCT and the effect of risk communication on intents. An online randomized controlled trial was conducted among 1802 adult participants in Israel. Threat perception and behavioral intent before and after exposure to hypothetical NCT scenarios were assessed stratified to the type of media, exposure to rumors, and risk communication. The majority (~64%) of participants are aware of the NCT threat. Almost half (45%) of participants indicated a “high” or “very high” chance of seeking medical attention following an NCT incident. Regression analysis suggests that the odds of participants exposed to risk communication to report an elevated intent of seeking medical attention were 0.470 (95% CI: 0.359, 0.615) times that of participants not exposed to risk communication, χ2 = 30.366, p < 0.001. The findings demonstrate the importance of effective risk communication in reducing undesired public behavior during NCT crises. Efforts must be invested to create a robust risk communication infrastructure to allow the proper management of possible NCT incidents.


2021 ◽  
Vol 118 (51) ◽  
pp. e2111452118 ◽  
Author(s):  
Alex Reinhart ◽  
Logan Brooks ◽  
Maria Jahja ◽  
Aaron Rumack ◽  
Jingjing Tang ◽  
...  

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: Operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID-19 activity, such as signals extracted from deidentified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data are available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.


2021 ◽  
Vol 5 (S3) ◽  
Author(s):  
Sahlan Tampubolon ◽  
Kammer Sipayung ◽  
Fenty Debora Napitupulu ◽  
Usman Sidabutar

Objectives: This study is about the realization of critical discourse analysis on TV talkshows’ headlines about corona delta variant. Methods: The data was gathered by collecting 31 headline news stories about Corona from three TV channels: Metro TV, TV One, and Kompas TV. Result:  The result showed that at the level of micro, the linguistic features used by the three TV channels were dominated by expressing declarative ideas. On the level of macro, the three TV channels used facts as information and statements as information. On the level of meso, it was discovered that the three TV channels used their roles as public behavior influencers, information providers, policy evaluators, and socialization agencies. The conclusion: the ideology of the TV channel influences the way of delivering news CDA, coronavirus delta variant news, TV talk shows.


Urban Science ◽  
2021 ◽  
Vol 5 (4) ◽  
pp. 90
Author(s):  
Mary G. Lusk ◽  
Lisa S. Krimsky ◽  
Nicholas Taylor

Healthcare demand for liquid oxygen during the COVID-19 pandemic limited the availability of oxygen needed for ozone disinfection of drinking water in several urban areas of Florida. While the situation reduced the state’s capacity to provide normal drinking water treatment for millions of people, calls for water conservation during the emergency period resulted in virtually no change in water consumption. Here, we point out that 38–40% of the potable water produced by one of the major utilities in Florida is not used for drinking water but instead is used for outdoor landscape irrigation. This suggests that emergency-level calls for reduced water use could have been made if outdoor irrigation was limited, but we present data showing that there was little change in public behavior, and the state was unable to meet necessary water use reductions during the emergency. This inability to meet short-term emergency water conservation needs foretells a long-term lack of resilience against other global change scenarios and suggests that much work is still needed to build resilience into Florida’s water future. We conclude this Viewpoint paper by calling for more urgent sociohydrological research to understand the coupled human-natural drivers of how water supplies respond to global change.


2021 ◽  
Vol 7 (3) ◽  
pp. 153
Author(s):  
Ema Pristi Yunita

The low level of public knowledge of the importance of preventing diseases and maintaining health can increase morbidity and mortality. In this community service, counseling and integrated health services were provided by seven health study programs at Universitas Brawijaya (UB). This community service aimed to improve public health status and identify the correlation between education level and public behavior and their health condition. All health workers wrote the health status of the participants on the community health cards. The participants were asked to answer questionnaires as a feedback process and an analysis of the activity. A total of 95.33% of the participants stated that these activities were useful while 4.67% stated that the activities were useless. The results of the gamma correlation test showed a significant correlation between education level and public behavior towards complaints about aches and pains, coughs and colds, diarrhea, chest pains, and itching. On complaints about aches and pains and abdominal pain, the higher the education level, the worse the behavior in dealing with the complaints. Collaborative activities among health workers are needed to overcome public health problems. A high education level of the public does not always guarantee the accuracy of certain actions chosen to overcome various early symptoms of diseases. Therefore, the role of health workers is needed in providing health education to the public regardless of their education levels.


2021 ◽  
Vol 14 (3) ◽  
pp. 257-266
Author(s):  
Eppy Setiyowati ◽  
Umi Hanik ◽  
Nunik Purwanti

Coronavirus 2019 (COVID-19) is a virus causing high mortality rates in variouscountries. So, the communities make preventive efforts with healthy lifestyle behaviors.The research aims to study lifestyle behaviors and community health conditions during the Covid 19 pandemic. This paper was a quantitative research design with a cross-sectional approach. In addition, the population was 170 respondents domiciled in Surabaya. Sampling techniques used simple random sampling. Data collection throughthe dissemination of questionnaires in google form circulated through WhatsApp group.Furthermore, the data were analyzed with a Linear Regression Test with  = 0.005. Theanalysis results gained public knowledge about the COVID-19 pandemic in the Lowcategory (13.94%). In addition, in public behavior variable showed that the communitydid not comply with health protocols during the COVID-19 pandemic (59.18%). Mostrespondents were in the category of low-risk cases. Linear statistic regression test resultsshowed lifestyle related to knowledge, healthy behavior, obedient protocol Health andhealth condition in individuals (= 0007). Public Health Condition is an indicator of thesuccessful assessment of the disconnection of the covid 19 spread chain. Future researchshould analyze awareness, compliance, and the willingness of the community to carryout health protocols.


Author(s):  
Agnes Tuti Rumiati ◽  
Dedy Dwi Prastyo ◽  
Sonny Harry B. Harmadi ◽  
Nur Achmey Selgi Harwanti ◽  
Rifda Zukhrufi Almas

The Covid-19 pandemic has occurred in Indonesia since March 2020. The pandemic period required adjustments in all sectors of life, including changes in people's behavior, namely spending more time at home. Changes in people’s behavior are needed to break the chain of Covid-19 transmissions, one of which is the implementation of Health protocols. Research on the behavior of the Indonesian people in dealing with the Covid-19 pandemic includes public knowledge and understanding, compliance in implementing the 3M health protocols, and the important factors that influence changes in people's behavior to comply with the health protocol. Data was collected by distributing online questionnaires, surveys to crowd locations and FGDs. National online and offline surveys are divided into 3 regions, namely Java, West Indonesia and East Indonesia. The analysis was carried out using statistical methods, namely dependency analysis, factor analysis, and multinomial regression. The conclusion is that people who have implemented the 3M protocol and have confidence in the effectiveness of 3M tend to believe that the 3M protocol is important to continue to be implemented. In addition, it is known that social media, TV, and online media almost always ranked in the top three of the most media respondents to get information about the importance of implementing health protocols.  


Author(s):  
Jacob D. Oury ◽  
Frank E. Ritter ◽  
Fatoumata B. Cissé

Abstract Objective: Lack of mask use during large public events might spread COVID-19. It is possible now to measure this and similar public health information using publicly available webcams. We demonstrate a rapid assessment approach for measuring mask usage at a public event. Method: We monitored crowds at public areas in Sturgis, SD using a live, high-definition, town-sponsored video stream to analyze the prevalence of mask wearing. We developed a rapid coding procedure for mask wearing and analyzed brief (5 to 25 min) video segments to assess mask-wearing compliance in outdoor public areas. We calculated compliance estimates and compared reliability among the human coders. Results: We were able to observe and quantify public behavior on the public streets. This approach rapidly estimated public health information (e.g., 512 people observed over 25 minutes with 2.3% mask usage) available on the same day. Coders produced reliable estimates across a sample of videos for counting masked users and mask-wearing proportion. Our video data is stored in Databrary.org. Conclusions: This approach has implications for disaster responses and public health. The approach is easy to use, can provide same day results, and can provide public health stakeholders with key information on public behavior.


2021 ◽  
Vol 8 (2) ◽  
pp. 95
Author(s):  
Ayuta Puspa Citra Zuama

<p><strong><em>Abstract</em></strong></p><p><em>The development of technology entering the era of the Internet of things does not only bring </em> <em>good news to human civilization, but also brings new modes and media for copyright infringers in national film literary works. Currently, film piracy media have started using a platform social media based on a private messaging service provider application called Telegram. Storywriters, Screenwriters, directors, producers, and film actors and actresses are disadvantaged by irresponsible public behavior in the form of piracy activities in the sense of making copies and distributing films in violation of applicable legal provisions. The legal provision in question is Law Number 28 of 2014 concerning Copyright, hereinafter referred to as UUHC. This regulation is the main legal umbrella for protecting the copyright of literary works including films in Indonesia. The Government’s efforts to create legal protection for the copyright of national film literary works are continuously being developed to keep abreast of the modes and media used by copyright infringers. This article aims to find out how the current positive law regulates the aspects of copyright protection, especially for film literary works, then whether effective legal protection has been created for national film literary works in the country, and how the influence and relationship to community behavior is related to violations. copyright, especially film copyright. The research method used by the author in writing this article uses a type of normative research, namely by conducting a study of all formal legal regulations (laws and regulations below) that are relevant in relation to the topic of discussion, and using literatures that contain theoretical concepts for conduct an analysis of the subject matter of the research.</em></p><p><strong> </strong></p><p><strong>Abstrak</strong></p><p>Perkembangan teknologi memasuki era <em>Internet of things</em> rupanya tidak hanya membawa  berita baik bagi peradaban manusia, melainkan membawa pula modus dan media baru bagi para pelaku pelanggar hak cipta pada karya sastra film nasional. Media pembajakan film saat ini sudah mulai menggunakan <em>platform</em> media sosial berbasis aplikasi penyedia layanan perpesanan pribadi bernama Telegram. Para penulis cerita, penulis naskah/skenario, sutradara, produser, hingga para aktor dan aktris pemain film menjadi pihak yang dirugikan dengan adanya perilaku masyarakat yang tidak bertanggungjawab berupa kegiatan pembajakan dalam artian melakukan penggandaan, dan penyebaran film dengan melanggar ketentuan hukum yang berlaku. Ketentuan hukum yang dimaksud adalah Undang-Undang Nomor 28 Tahun 2014 tentang Hak Cipta yang selanjutnya akan disebut UUHC. Peraturan ini merupakan payung hukum utama bagi perlindungan terhadap hak cipta karya-karya sastra termasuk film di Indonesia. Upaya Pemerintah dalam menciptakan perlindungan hukum bagi hak cipta karya sastra film nasional terus dikembangkan guna mengikuti perkembangan modus serta media yang digunakan para pelaku pelanggar hak cipta. Artikel ini bertujuan untuk mengetahui bagaimana hukum positif saat ini mengatur mengenai aspek perlindungan hak cipta khususnya bagi karya sastra film, kemudian apakah sudah tercipta perlindungan hukum yang efektif bagi karya sastra film nasional di tanah air, serta bagaimana pengaruh dan hubungannya terhadap perilaku masyarakat kaitannya dengan pelanggaran hak cipta khususnya hak cipta film. Metode penelitian yang digunakan penulis dalam menulis artikel ini menggunakan jenis penelitian normatif, yaitu dengan melakukan kajian terhadap seluruh peraturan hukum bersifat formil (Undang-Undang, dan peraturan dibawahnya)  yang relevan kaitannya terhadap topik bahasan, serta menggunakan literatur-literatur yang berisi konsep teoritis untuk melakukan analisa terhadap pokok permasalahan penelitian.</p>


2021 ◽  
Author(s):  
Alex Reinhart ◽  
Logan Brooks ◽  
Maria Jahja ◽  
Aaron Rumack ◽  
Jingjing Tang ◽  
...  

The COVID-19 pandemic presented enormous data challenges in the United States. Policy makers, epidemiological modelers, and health researchers all require up-to-date data on the pandemic and relevant public behavior, ideally at fine spatial and temporal resolution. The COVIDcast API is our attempt to fill this need: operational since April 2020, it provides open access to both traditional public health surveillance signals (cases, deaths, and hospitalizations) and many auxiliary indicators of COVID- 19 activity, such as signals extracted from de-identified medical claims data, massive online surveys, cell phone mobility data, and internet search trends. These are available at a fine geographic resolution (mostly at the county level) and are updated daily. The COVIDcast API also tracks all revisions to historical data, allowing modelers to account for the frequent revisions and backfill that are common for many public health data sources. All of the data is available in a common format through the API and accompanying R and Python software packages. This paper describes the data sources and signals, and provides examples demonstrating that the auxiliary signals in the COVIDcast API present information relevant to tracking COVID activity, augmenting traditional public health reporting and empowering research and decision-making.


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