scholarly journals Accommodation, Seasonality and Domestic Tourism to National Parks: Implications for Environmental Policy

2021 ◽  
Vol 13 (9) ◽  
pp. 5072
Author(s):  
Flora Maria Díaz-Pérez ◽  
Carlos Gustavo García-González ◽  
Alan Fyall
Keyword(s):  
National Parks ◽  
Multinomial Logistic Regression ◽  
Multinomial Logistic Regression Model ◽  
Domestic Tourism ◽  
Patterns Of Behavior ◽  
High Season ◽  
Tourism Policy ◽  
Accommodation Sector ◽  
Push And Pull ◽  
Objective Being

The analysis of seasonality and domestic tourism from the perspective of the accommodation sector has, to date, been unsatisfactorily studied in the domain of visitors to national parks. In light of the scale of accommodation development and its crucial role in tourism, most notably with regard to environmental impact, in-depth knowledge about accommodation market segments and their specific characteristics and patterns of behavior are integral to the development of tourism policy. In the context of domestic tourism, underpinned by an understanding of the theory of planned behavior and push-and-pull motivations, this study examines seasonality and accommodation type used by visitors to national parks in the small islands of the Canaries, Spain with the objective being to design the most appropriate environmental tourism policy. By adopting a Multinomial logistic regression model with 1671 surveys carried out, the study concludes that domestic visitors demonstrate a higher propensity to select environmental-friendly accommodation types during the high season. At the same time, residents who visit the parks in high season assess the lowest value to the preservation level of the parks’ natural resources.

scholarly journals Association between socioeconomic status and longitudinal sleep quality patterns mediated by depressive symptoms

SLEEP ◽  
2021 ◽  
Author(s):  
Ga Bin Lee ◽  
Hyeon Chang Kim ◽  
Ye Jin Jeon ◽  
Sun Jae Jung
Keyword(s):  
Socioeconomic Status ◽  
Depressive Symptoms ◽  
Sleep Quality ◽  
Household Income ◽  
Pittsburgh Sleep Quality Index ◽  
Multinomial Logistic Regression ◽  
Mental Healthcare ◽  
Mediation Effect ◽  
Multinomial Logistic Regression Model ◽  
Mediating Role

Abstract Study Objectives We aimed to examine whether associations between socioeconomic status (SES) and longitudinal sleep quality patterns are mediated by depressive symptoms. Methods We utilized data on 3347 participants in the Korean Genome and Epidemiology Study aged 40–69 years at baseline from 2001 to 2002 who were followed up for 16 years. A group-based modeling approach was used to identify sleep quality trajectories using the Pittsburgh Sleep Quality Index (years 2, 6, 8, 10, and 12). Educational attainment (college graduated or less), monthly household income (≥$2500 or less), and occupation (unemployed, manual labor, and professional labor) at baseline (year 0) were used for analyses. Depressive symptoms were assessed using Beck’s Depression Inventory at year 4. Associations between SES and sleep quality patterns were examined using a multinomial logistic regression model. The mediation effect of depressive symptoms was further examined using PROC CAUSALMED. Results We identified five distinct sleep quality trajectories: “normal-stable” (n = 1697), “moderate-stable” (n = 1157), “poor-stable” (n = 320), “developing to poor” (n = 84), and “severely poor-stable” (n = 89). Overall, associations between SES levels and longitudinal sleep patterns were not apparent after full adjustment for sociodemographic and lifestyle factors measured at baseline. Depressive symptoms, however, tended to fully mediate associations between SES levels and sleep quality patterns (odds ratio range for indirect effects of depressive symptoms: for education, 1.05-1.17; for income, 1.05-1.15). Conclusion A significant mediating role for depressive symptoms between SES levels and longitudinal sleep quality warrants consideration among mental healthcare professionals.

IMPLEMENTASI MODEL REGRESI LOGISTIK MULTINOMIAL PADA PENGELOMPOKAN PENYAKIT TUBERKULOSIS

2021 ◽  
Vol 13 (1) ◽  
pp. 27
Author(s):  
Mella Apriyani ◽  
Jajang Jajang ◽  
Agustini Tripena Br. Sb.
Keyword(s):  
Logistic Regression Model ◽  
Basic Education ◽  
Multinomial Logistic Regression ◽  
Education Level ◽  
Dominant Factor ◽  
Multinomial Logistic Regression Model ◽  
Factor Level ◽  
Level Of Education ◽  
Pulmonary Tb ◽  
Extra Pulmonary

There are three types of  Tuberculosis (TB) patients at Banyumas Region Hospital, namely negative  pulmonary TB, positive pulmonary TB, and extra pulmonary TB. Types of TB generally caused by age, cae of history, gender, level of education, and domicile. One of the methods that used to find a correlation between types of TB with the affect is regression analysis. This study used multinomial logistic regession analysis because types of TB is categorical and the data is 156 TB’s patients recorded at 2018/2019. The result showed that the level of education be a dominant factor to affect TB. Here, we noted that patients with basic education level have a 5,843 time odds for getting positive pulmonary TB and 2,224 times for getting extra pulmonary TB. The multinomial logistic regression model is then given as probability for getting positive pulmonary TB with factor level of education is greather than negative pulmonary TB and extra pulmonary TB.

scholarly journals Puzzle Out the Reason behind Habitual Miscarriage

2020 ◽  
pp. 92-98
Author(s):  
Waqas Ahmad ◽  
Shahid Bilal ◽  
Sarah Azhar ◽  
Muhammad Aitmaud Uddolah Khan ◽  
Nasima Iqbal ◽  
...  
Keyword(s):  
Risk Factors ◽  
Maternal Age ◽  
Pregnancy Loss ◽  
Recurrent Pregnancy Loss ◽  
Multinomial Logistic Regression ◽  
Strong Association ◽  
Multinomial Logistic Regression Model ◽  
Multiple Risk Factors ◽  
Bivariate Correlation ◽  
History Of

Aims: As no data is available in Pakistan so the aim of current study is to find out the link of multiple risk factors with recurrent pregnancy loss (RPL) in Pakistan. Study Design: Case control study. Place and Duration of Study: Study conducted in Obstetrics and Gynecology Clinic of Benazir Bhutto Hospital, Holy Family Hospital Rawalpindi and Polyclinic Hospital Islamabad from November 2018 to April 2019. Methodology: Subjects were investigated on the basis of an in depth Performa. For data analysis Statistical package for social sciences version-20 was used. Beside this, height in cm, weight in kg and blood pressure in mmHg were recorded. All the statistical calculations were performed by using SPSS 20. For association analysis of qualitative variables Spearman bivariate correlation was calculated while for numerical variables ANOVA was applied. Multinomial logistic regression model was used and the odd ratio and relative risk were calculated. Results: Among cases 91.34% were having spontaneous miscarriage and majority (64.86%) were during first trimester. Spearman bivariate correlation reported a strong association of recurrent pregnancy loss with the risk factors including family history, smoking, obesity, history of hypertension and history of diabetes, having highly significant p-values, on the hand, significant association of maternal age with the frequency of recurrent pregnancy loss was found but not with the paternal age and parity. The multinomial logistic regression model showed that smokers were19.012 times more prone to develop recurrent pregnancy loss. Conclusion: The multiple risk factors including maternal age, obesity, smoking, family history, body mass index, hypertension and diabetes have a strong association with the recurrent pregnancy loss. So keeping these risk factors in mind a careful evaluation of each pregnancy is necessary to reduce the risk of recurrent pregnancy loss.

Tourism Reset: Reimagining South African Domestic Tourism in the Era Of Covid-19

2022 ◽  
Author(s):  
Tafadzwa Matiza ◽  
Elmarie Slabbert
Keyword(s):  
South African ◽  
Perceived Risk ◽  
Online Survey ◽  
Mediating Effect ◽  
Mediation Analyses ◽  
Tourist Behavior ◽  
Domestic Tourism ◽  
Physical Risk ◽  
Managerial Implications ◽  
Push And Pull

Domestic tourism is increasingly being propagated as a primer for the global tourism industry’s resuscitation in the era of COVID-19. However, in light of the COVID-19 pandemic, the challenge for African tourism destinations such as South Africa is predicting domestic tourists’ behavioral and demand responses. The article explores the mediating effect of perceived risk on the nexus between South African domestic tourists’ push and pull travel motives. Data were generated via a self-administered online survey and analyzed primarily utilizing factor and mediation analyses. From the sample (n = 427), the study identifies the heterogeneity in the push–pull travel motives nexus. Moreover, the findings also establish the susceptibility of experiential escape-seeking tourists to the negative mediating influence of COVID-19-induced perceived physical risk on their likelihood of engaging in leisure-oriented domestic tourism activity. The results also point to potential cognitive bias and subjective preference towards domestic tourism, potentially signaling a crisis-induced shift in tourist behavior. The managerial implications are also discussed.

Determinants of percent expenditure of household income due to childhood diarrhoea in rural Bangladesh

2015 ◽  
Vol 143 (13) ◽  
pp. 2700-2706 ◽  
Author(s):  
J. DAS ◽  
S. K. DAS ◽  
S. AHMED ◽  
F. FERDOUS ◽  
F. D. FARZANA ◽  
...  
Keyword(s):  
Household Income ◽  
Family Income ◽  
Multinomial Logistic Regression ◽  
Acute Diarrhoea ◽  
Limited Information ◽  
Multinomial Logistic Regression Model ◽  
Childhood Diarrhoea ◽  
Rural Bangladesh ◽  
Male Sex ◽  
Responsible Pathogen

SUMMARYThere is limited information on percent expenditure of household income due to childhood diarrhoea especially in rural Bangladesh. A total of 4205 children aged <5 years with acute diarrhoea were studied. Percent expenditure was calculated as total expenditure for the diarrhoeal episode divided by monthly family income, multiplied by 100. Overall median percent expenditure was 3·04 (range 0·01–94·35). For Vibrio cholerae it was 6·42 (range 0·52–82·85), for enterotoxigenic Escherichia coli 3·10 (range 0·22–91·87), for Shigella 3·17 (range 0·06–77·80), and for rotavirus 3·08 (range 0·06–48·00). In a multinomial logistic regression model, for the upper tertile of percent expenditure, significant higher odds were found for male sex, travelling a longer distance to reach hospital (⩾median of 4 miles), seeking care elsewhere before attending hospital, vomiting, higher frequency of purging (⩾10 times/day), some or severe dehydration and stunting. V. cholerae was the highest and rotavirus was the least responsible pathogen for percent expenditure of household income due to childhood diarrhoea.

The influence of push and pull factors at Korean national parks

2003 ◽  
Vol 24 (2) ◽  
pp. 169-180 ◽  
Author(s):  
Samuel Seongseop Kim ◽  
Choong-Ki Lee ◽  
David B Klenosky
Keyword(s):  
National Parks ◽  
Pull Factors ◽  
Push And Pull Factors ◽  
Push And Pull

scholarly journals Burden and predictors ofStaphylococcus aureusandS. pseudintermediusinfections among dogs presented at an academic veterinary hospital in South Africa (2007–2012)

PeerJ ◽  
2017 ◽  
Vol 5 ◽  
pp. e3198 ◽  
Author(s):  
Daniel N. Qekwana ◽  
James Wabwire Oguttu ◽  
Fortune Sithole ◽  
Agricola Odoi
Keyword(s):  
South Africa ◽  
Logistic Regression ◽  
Regression Model ◽  
Logistic Regression Model ◽  
Multinomial Logistic Regression ◽  
Risk Of Infection ◽  
Multinomial Logistic Regression Model ◽  
Tract Infections ◽  
Veterinary Hospital ◽  
Isolated Species

BackgroundStaphylococci are commensals of the mucosal surface and skin of humans and animals, but have been implicated in infections such as otitis externa, pyoderma, urinary tract infections and post-surgical complications. Laboratory records provide useful information to help investigate these infections. Therefore, the objective of this study was to investigate the burdens of these infections and use multinomial regression to examine the associations between variousStaphylococcusinfections and demographic and temporal factors among dogs admitted to an academic veterinary hospital in South Africa.MethodsRecords of 1,497 clinical canine samples submitted to the bacteriology laboratory at a veterinary academic hospital between 2007 and 2012 were included in this study. Proportions of staphylococcal positive samples were calculated, and a multinomial logistic regression model was used to identify predictors of staphylococcal infections.ResultsTwenty-seven percent of the samples tested positive forStaphylococcusspp. The species ofStaphylococcusidentified wereS. pseudintermedius(19.0%),S. aureus(3.8%),S. epidermidis(0.7%) andS. felis(0.1%). The remaining 2.87% consisted of unspeciatedStaphylococcus. Distribution of the species by age of dog showed thatS. pseudintermediuswas the most common (25.6%) in dogs aged 2–4 years whileS. aureuswas most frequent (6.3%) in dogs aged 5–6 years.S. pseudintermedius(34.1%) andS. aureus(35.1%) were the most frequently isolated species from skin samples. The results of the multivariable multinomial logistic regression model identified specimen, year and age of the dog as significant predictors of the risk of infection withStaphylococcus. There was a significant temporal increase (RRR = 1.17; 95% CI [1.06–1.29]) in the likelihood of a dog testing positive forS. pseudintermediuscompared to testing negative. Dogs ≤ 8 years of age were significantly more likely to test positive forS. aureusthan those >8 years of age. Similarly, dogs between 2–8 years of age were significantly more likely to test positive forS. pseudintermediusthan those >8 years of age. In addition, dogs 2–4 years of age (RRR = 1.83; 1.09–3.06) were significantly more likely to test positive forS. pseudintermediuscompared to those <2 years of age. The risk of infection withS. pseudintermediusorS. aureuswas significantly higher in ear canal and skin specimens compared to other specimens.ConclusionsThe findings suggest thatS. pseudintermediusandS. aureuswere the most commonly isolated species from dogs presented at the study hospital. Age of the dog and the location of infection were significant predictors of infection with bothStaphylococcusspecies investigated. Significant increasing temporal trend was observed forS. pseudintermediusbut notS. aureus. This information is useful for guiding clinical decisions as well as future research.

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