scholarly journals COVID-19 Risk Perceptions and Social Distancing Practice in Latin America

2021 ◽  
pp. 154041532098514
Author(s):  
Jessica Alicea-Planas ◽  
Jennifer M. Trudeau ◽  
William F. Vásquez Mazariegos

Objectives: Many developing countries use social distancing as part of their mitigation strategy during epidemics. This study aimed to understand individual decisions to practice different social distancing measures in the immediate emergence of COVID-19. Study design: Utilizing social media advertising and snowball sampling, a web-based survey was administered in 16 Latin American countries. Methods: We estimated seemingly unrelated Probit models to identify factors associated with the decision to implement social distancing practices. Results: From 5,480 respondents, estimated marginal effects indicate that risk perceptions are positively related to distancing from friends or relatives and avoiding public places but do not seem to influence the decision to stay home. Results also indicate that risk perceptions are related to household income, the number of reported COVID-19 cases in the country, and perceived preparedness of the health care system. Conclusions: Our findings support the notion that people will follow social distancing measures if there is a clear understanding of risk. Providing the public ways to access accurate numbers of confirmed cases can inform perception of disease severity. Since household income was a determinant of practicing social distancing, without financial assistance, some will be forced to break regulations in order to procure food or resources for their survival.

2019 ◽  
Vol 26 (1) ◽  
pp. 57-64 ◽  
Author(s):  
Shosh Shahrabani ◽  
Mosi Rosenboim ◽  
Tal Shavit ◽  
Uri Benzion ◽  
Miri Arbiv

2006 ◽  
Vol 69 (6) ◽  
pp. 1412-1421 ◽  
Author(s):  
MARY ROSEMAN ◽  
JANET KURZYNSKE

In several areas, Kentuckians practice more risky health behaviors than most of the rest of the nation. The Health Belief Model states that individuals with lower perceived risks practice less healthy behaviors. This study sought to determine if this was true for food safety by assessing food safety perceptions and behaviors of Kentucky consumers. Data were collected through a telephone questionnaire based on a survey by the U.S. Food and Drug Administration; 728 respondents participated. Food safety perceptions were analyzed by examining participants' responses to confidence in the safety of the food supply, perception of likelihood of people becoming sick because of foodborne illness, and perception of where food safety problems are most likely to occur. Significant differences were found in food safety perceptions for age, gender, household income, education, and employment in the food industry. Analysis of food safety behaviors revealed differences in food handling behaviors for gender, education level, household income, race, and households with a member aged 65 years or older. Significant relationships were found between respondents' food safety perceptions and behaviors. In general, Kentucky consumers who perceived higher risks exhibited safer food handling behaviors. Strategies to increase the understanding of real and perceived food safety risks in the home combined with strategies that target specific demographic groups may be the most effective approach to improve food handling practices. A better understanding of consumers' food safety risk perceptions and behaviors could lead to more effective food safety education materials and messages.


2021 ◽  
Vol 7 (1) ◽  
pp. 140-149
Author(s):  
Siti Zaerina Zaerina ◽  
Yusniar Hanani Darundiati ◽  
Nikie Astorina Yunita Dewanti

Background: COVID-19 is an pandemic, including Indonesia. PHBS (Clean and Healthy Living Behaviour) is an effort to strengthen the behaviour of a person, group, and community to care for and prioritize health to create a higher quality life. Community participation in efforts to prevent COVID-19 is an important factor in breaking the chain of infection. As 9 July 2020 3 residents have been confirmed positive for COVID-19 in Randuboto Village. Objectives: Therefore this research was carried out to analyze the factors related to PHBS practices durung the COVID-19 pandemic in Randuboto Village, Gresik Regency. Research Metodes: This type of research used in this study is an observational study using a cross sectional approach. The population in this study was the total population of Randuboto Village, Gresik Regency which was recorded as many as 4,006 people. The sampling technique used in this study was snowball sampling. The nimber of samples taken was 108 samples that met the inclusion criteria. The independent variables in this study are the level of knowledge, attitudes, and the availability of supporting facilities for the respondents. The dependent variable in this study is PHBS practices during the COVID-19 pandemic. Results: PHBS practices in Randuboto Village, Gresik Regency during the COVID-19 pandemic showed good practice at 55,6%. This is related to the activity of washing hands with soap and running water, diligently eat healthy foods, regularly do physical activity/ exercise, smoking outside the house, regularly cleaning the neighborhood where I live, regularly leaving the house during the COVID-19 emergency using a mask, frequently visiting public places and being crowded during colds.  The majority of respondents were ≤ 25 years old, which was 63,9%, while the majority of respondents education level was Senior High School  at 53,7%. The majority of respondents types of work are other at 52,8%. The variable related to the practice of PHBS during the COVID-19 pandemic are the level of knowledge(0,001), attitudes (0,001), and the availability of supporting facilities (0,001). Conclusion: Most of the respondents have a poor level of knowledge, good attitude, availability of adequate supporting infrastructure and good PHBS practices during the COVID-19 pandemic.The practice of PHBS during the COVID-19 pandemic In the environment around Randuboto Village, Gresik regency needs to be improved again, especially in knowledge, as weel as the availability of supporting facilities. It is hoped that the community an also improve personal hygiene such as washing hands regularly and wearing masks when doing activities outside. This is very important to break the chain of spread of the COVID-19.   Keywords: Clean and Healthy Living Behaviour, corona virus 


2019 ◽  
Vol 3 (2) ◽  
pp. 209-228
Author(s):  
Roberto Pessoa de Queiroz Falcão ◽  
Murilo Carrazedo Marques da Costa Filho ◽  
Jorge Brantes Ferreira

Purpose The purpose of this paper is to segment travelers by their predispositions regarding the adoption of smartphones to purchase travel-related services, which is crucial for developing specific marketing strategies for each group of tourists. Design/methodology/approach A survey was conducted with 1,014 Brazilian travelers assessing their smartphone usage frequency and predispositions regarding travel purchases. The authors selected three variables related to the users’ acceptance of technology (perceived usefulness, ease of use and intentions to use smartphones for tourism purchases) and m-commerce perceptions of risk. Segmentation was conducted employing cluster analysis. Findings The authors identified three significantly different clusters of travel consumers: “Risk Ignorers,” “Cautious Users” and “Conservatives.” Risk perceptions appeared to be the main discriminating variable, followed by perceptions that smartphone apps are useful and free of effort. Research limitations/implications The non-probabilistic snowball sampling technique of Brazilian travelers may limit the generalization of the findings. Also, the use of intentions as one of our clustering variables instead of actual purchase behavior might bring limitations. Practical implications Segmentation enables the development of specific marketing strategies for each group, encompassing different risk profiles. Cautious travelers demand the development of safe and trustworthy m-commerce environments, as well as reassuring communication approach to reduce their perceptions of risk in performing mobile-mediated transactions. Conservatives demand marketers to build simpler and more straightforward apps to entice them. Originality/value The study reveals more fine-grained nuances to the role of mobile technology and its impact on travelers, unveiling important differences across travelers’ predispositions toward smartphone adoption that is distinctively associated with usage patterns regarding their risk profiles.


2019 ◽  
Vol 9 (3) ◽  
pp. 49 ◽  
Author(s):  
Flora Felix Manyama ◽  
Martin Reinhardt Nielsen ◽  
Eivin Roskaft ◽  
Julius William Nyahongo

Bushmeat hunting is widespread in villages adjacent to protected areas in Western Serengeti. However, little information is available about the role of bushmeat income in the household economy as a function of distance from the protected area boundary, preventing the formulation of informed policy for regulating this illegal trade. This study was conducted in three villages in Western Serengeti at distances of 3 (closest), 27 (intermediate) and 58km (furthest) from the boundary of Serengeti National Park to assess the contribution of bushmeat to household income. The sample consists of 246 households of which 96 hunted or traded bushmeat, identified using snowball sampling through the aid of local informers. The average income earned from bushmeat was significantly higher for bushmeat traders than hunters. The contribution of bushmeat to household income was significantly higher in Robanda the village closest to the protected area boundary compared to Rwamkoma and Kowak, the more distant villages. A Heckman sample-selection model reveals that household participation in hunting and trading bushmeat was negatively associated with distance to the protected area boundary and with the household head being female. Household reliance on bushmeat income was negatively associated with age and gender of the household head and distance to the protected area boundary. Hence, efforts to reduce involvement in hunting, and trading bushmeat should target male-headed households close to the protected area boundary.


Author(s):  
Raj Kushwaha ◽  
Kismat Khatri ◽  
Yogesh Mahato

The battle of corona-virus and mankind is possible to be tackled as long as we maintain the basic norm of social distancing and wearing masks amongst ourselves as it is through our droplets from the respiratory tract that the virus spreads. With the increasing demand for man-force and people requiring to go to their workplaces post lockdown, it is very necessary that we save each other from the virus. In this project, we will go through a detailed explanation of how we can use Python, AI and Deep Learning to monitor social distancing at public places and workplaces are keeping a safe distance from each other by analyzing real-time video streams from the camera and also detect facial mask monitoring using OpenCV and Python. To ensure if people are following social distancing protocols in public places and workplaces, we wanted to develop a tool that can monitor if people are keeping a safe distance from one another, wearing masks or not by processing real-time video footage from the camera. People at workplaces, factories, shops can integrate this tool into their security camera systems and can monitor whether people are keeping a safe distance from each other or not along with that we detect facial mask monitoring using Python with help of haar-cascade algorithm to see whether a person is wearing a mask or not. We are also planning to include thermal screening detection to measure the temperature of the subjects, a dashboard which will display a live report of corona cases around the world. We will also include an alert system that will send a notification to the authorities if the social distancing is not followed or if the temperature exceeds the threshold. The authorities can take suitable measures to isolate the subject and thus prevent the spread of Covid-19.


2020 ◽  
Vol 4 (2) ◽  
pp. 167
Author(s):  
Yudhi Zuriah Wirya ◽  
Endah Novitarini ◽  
M. Fahrurozi

The purpose of this study was to 1) identify the marketing channels, analyze marketing costs, marketing margins, and farmer's share of curly red chilies, and 2) calculate the magnitude of the income contribution of curly red chili farming to household income. This research was conducted in Sei Selincah Subdistrict, Kalidoni District, Palembang City in January 2020. The research method used was a survey. The sampling method was carried out purposively with a total sample of 20 farmers from 215 members of the curly red chili farmer population, while the sampling method of the marketing agencies used snowball sampling to marketing institutions in the research location. The results showed that there were 3 marketing channels of curly red chili in Sei Selincah Subdistrict, namely a) farmers-collecting merchants-consumers, b) farmer-wholesalers-retailers-consumers, and c) farmers-large collecting merchants-Lemabang markets-retailers-consumers. The costs of each marketing channel, respectively, was IDR570, IDR740, and IDR733 with a marketing margin of IDR5,000, IDR6,500, and IDR7,667. Farmer’s shares were consecutively 85.7 percent, 71.1 percent, and 58.8 percent. Furthermore, the contribution of income from curly red chili farming to household income of 89.6 percent was classified as a large criterion.Tujuan penelitian ini untuk 1) mengidentifikasi saluran pemasaran cabe merah keriting, menganalisis biaya pemasaran, margin pemasaran dan farmer’s share cabai merah kertiting, dan 2) menghitung besarnya kontribusi usahatani cabai merah keriting terhadap pendapatan keluarga. Penelitian ini dilakukan di Kelurahan Sei Selincah Kecamatan Kalidoni Kota Palembang pada bulan Januari 2020. Metode penelitian yang digunakan adalah survei. Metode penarikan contoh dilakukan secara sengaja dengan jumlah sampel sebanyak 20 petani contoh dari 215 anggota populasi petani cabai merah kerting, sedangkan metode pengambilan lembaga pemasaran menggunakan snowball sampling terhadap lembaga pemasaran di lokasi penelitian. Hasil penelitian menunjukkan bahwa ada 3 saluran pemasaran cabai merah keriting di Kelurahan Sei Selincah, yaitu a) petani -pedagang pengumpul-konsumen, b) petani-pedagang besar-pedagang pengecerkonsumen, c) petani-pedagang pengepul besar-pasar Lemabang-pedagang pengecerkonsumen. Biaya pemasaran masing-masing adalah Rp570, Rp740, dan Rp733 dengan margin pemasaran berturut-turut Rp5000, Rp6.500, dan Rp7.667. Farmer’s share secara berurutan adalah 85,7 persen, 71,1 persen, dan 58.8 persen. Selanjutnya kontribusi pendapatan usahatani cabai merah keriting terhadap pendapatan keluarga sebesar 89.6 persen tergolong kriteria besar.


10.2196/23902 ◽  
2020 ◽  
Vol 6 (4) ◽  
pp. e23902
Author(s):  
Kevin L McKee ◽  
Ian C Crandell ◽  
Alexandra L Hanlon

Background Social distancing and public policy have been crucial for minimizing the spread of SARS-CoV-2 in the United States. Publicly available, county-level time series data on mobility are derived from individual devices with global positioning systems, providing a variety of indices of social distancing behavior per day. Such indices allow a fine-grained approach to modeling public behavior during the pandemic. Previous studies of social distancing and policy have not accounted for the occurrence of pre-policy social distancing and other dynamics reflected in the long-term trajectories of public mobility data. Objective We propose a differential equation state-space model of county-level social distancing that accounts for distancing behavior leading up to the first official policies, equilibrium dynamics reflected in the long-term trajectories of mobility, and the specific impacts of four kinds of policy. The model is fit to each US county individually, producing a nationwide data set of novel estimated mobility indices. Methods A differential equation model was fit to three indicators of mobility for each of 3054 counties, with T=100 occasions per county of the following: distance traveled, visitations to key sites, and the log number of interpersonal encounters. The indicators were highly correlated and assumed to share common underlying latent trajectory, dynamics, and responses to policy. Maximum likelihood estimation with the Kalman-Bucy filter was used to estimate the model parameters. Bivariate distributional plots and descriptive statistics were used to examine the resulting county-level parameter estimates. The association of chronology with policy impact was also considered. Results Mobility dynamics show moderate correlations with two census covariates: population density (Spearman r ranging from 0.11 to 0.31) and median household income (Spearman r ranging from –0.03 to 0.39). Stay-at-home order effects were negatively correlated with both (r=–0.37 and r=–0.38, respectively), while the effects of the ban on all gatherings were positively correlated with both (r=0.51, r=0.39). Chronological ordering of policies was a moderate to strong determinant of their effect per county (Spearman r ranging from –0.12 to –0.56), with earlier policies accounting for most of the change in mobility, and later policies having little or no additional effect. Conclusions Chronological ordering, population density, and median household income were all associated with policy impact. The stay-at-home order and the ban on gatherings had the largest impacts on mobility on average. The model is implemented in a graphical online app for exploring county-level statistics and running counterfactual simulations. Future studies can incorporate the model-derived indices of social distancing and policy impacts as important social determinants of COVID-19 health outcomes.


2020 ◽  
Author(s):  
Rita Judith Ames-Guerrero ◽  
Ayme Barreda Parra ◽  
Julio Cesar Huamani Cahua ◽  
Jane Banaszak Holl

BACKGROUND: The Coronavirus disease has quickly spread to all corners across Latin-American countries. Its exponential capacity has overwhelmed even the most resilient health systems (1). The already significant impact of the Coronavirus (COVID-19) on the global scale is worsened by psychological responses that may aggravate the health crisis. OBJECTIVE: This study is aimed at collecting demographic information, prevalence of psychological morbidities and associated coping styles during the COVID-19 pandemic on Peruvian population. Methods: This cross-sectional study was conducted through online survey using snowball sampling techniques after the state of emergency was declared in Perú. The General Health Questionnaire (GHQ -28) identify somatic symptom, anxiety/ insomnia, social misfunctioning and depression prevalence and the Coping Strategy Questionnaire (COPE-28) maps strategies addressing recent stress. RESULTS: We collected data from 434 self-selected participants within 18-68 years old (ME =33.87), by analysing the socio-economic information in which the majority of the respondents were women (61.3%), aged between 18 and 28 (41.7%), from well-educated groups (>=85.0 %), Peruvian (94.2%), working citizen (57.4%) and single (71.20 %). Nearly 40.8% rated psychological problems, expressing fear of being infected by coronavirus (71.43%). Regression analysis shows that female gender is associated to higher somatic (p<0.001*, C.I: -2.75 to -.99) and anxiety/insomnia symptoms (p=0.00*, C.I: -2.98 to 0.84). Depression and social dysfunction are experienced at any age. Educational status is protective against developing psychological disorders (p<0.05). While active responses (Acceptance and Social support) are scarcely used by individuals with psychological problems; Passive strategies are commonly reported (Denial, Self-Distraction, Self-Blame, Disconnection, and Emotional discharge).CONCLUSION: These findings provide a better understanding of psychological disorders resulting from the current pandemic in Peruvian population. This evidence informs the need to strengthen mental health programs, especially in less privileged groups after the Covid-19 pandemic.


2014 ◽  
Vol 2 (1) ◽  
pp. 1
Author(s):  
Siti Badariah Saiful Nathan ◽  
Mohd Rosli Mohamad

Social, ethical and environmental concerns have been used as important consideration for investment decision by an increasing number of investors. This can be seen by the size and growth of the socially responsible investment (SRI) industry in the developed economies. At the same time, scholars and commentators of Islamic finance have also called for Islamic investment industry to learn from the experience of SRI in incorporating social responsibility issues in the investment process, in line with the ethical principles of Islam and the overall objective of the Shari’ah (Maqasid al-Shari’ah). This would require Islamic investment sector to have a clear understanding of the SRI industry in order to effectively benefit from its experience. This is particularly critical due to the significant diversity of investors and complexity in the issues and strategies adopted in the SRI industry. Hence, this paper adds to the Islamic investment literature by providing an extensive  and systematic survey of SRI industry in terms of its (i) underlying motivations and values; (ii) issues of concerns; (iii) types of investors; and (iv) screening strategies. It then synthesizes these components within the context of the ‘value-based’ investors. This synthesized framework offers a useful tool for Islamic investment practitioners to understand the theoretical and practical aspects of SRI. Subsequently, the paper highlights important implications of the findings for Islamic investment industry in terms of the issues that it needs to consider in emulating SRI practices and a number of lessons that it can learn from the SRI experience. 


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