scholarly journals Developing a Locally Adaptive Spatial Multilevel Logistic Model to Analyze Ecological Effects on Health Using Individual Census Records

2019 ◽  
Vol 110 (3) ◽  
pp. 739-757
Author(s):  
Guanpeng Dong ◽  
Jing Ma ◽  
Duncan Lee ◽  
Mingxing Chen ◽  
Gwilym Pryce ◽  
...  
Keyword(s):  
Logistic Model ◽  
Ecological Effects ◽  
Locally Adaptive ◽  
Multilevel Logistic Model

A Goodness of Fit Test for the Multilevel Logistic Model

2015 ◽  
Vol 45 (2) ◽  
pp. 643-659 ◽  
Author(s):  
A. A. P. N. M. Perera ◽  
M. R. Sooriyarachchi ◽  
S. L. Wickramasuriya
Keyword(s):  
Logistic Model ◽  
Goodness Of Fit ◽  
Goodness Of Fit Test ◽  
Multilevel Logistic Model

scholarly journals The association between loneliness during the COVID-19 pandemic and psychological distress

2021 ◽  
Author(s):  
Yusuke Konno ◽  
Masako Nagata ◽  
Ayako Hino ◽  
Seiichiro Tateishi ◽  
Mayumi Tsuji ◽  
...  
Keyword(s):  
Psychological Distress ◽  
Social Networking Sites ◽  
Educational Level ◽  
Logistic Model ◽  
Type Number ◽  
Cross Sectional ◽  
Family Time ◽  
Single Item ◽  
Online Study ◽  
Multilevel Logistic Model

The purpose of this study was to examine the association between loneliness and psychological distress during the COVID-19 pandemic in Japan. We conducted a cross-sectional, online study from 22 to 26 December 2020. A total of 27,036 participants, all employed at the time of the survey, were included in the analysis. Participants were asked if they felt loneliness in a single-item question. The Kessler 6 (K6) was used to assess psychological distress defined as K6 scores of 5 or higher, and 13 or higher. The odds ratios (ORs) of psychological distress associated with loneliness were estimated using a multilevel logistic model nested in the prefecture of residence, with adjustment for age, sex, marital status, equivalent income, educational level, smoking, alcohol consumption, job type, number of workplace employees, and cumulative incidence rate of COVID-19 in the prefecture. Communication with friends, acquaintances, and family was strongly associated with psychological distress, so we adjusted for these factors and eating meals alone. Results showed a significant association between loneliness and psychological distress (OR = 36.62, 95%CI = 32.95-40.69). Lack of friends to talk to, lack of acquaintances to ask for help, and lack of people to communicate with through social networking sites were all strongly associated with psychological distress, as were family time and solitary eating. Even after adjusting for these factors, loneliness was still strongly associated with psychological distress (OR = 29.36, 95%CI = 26.44-32.98). The association between loneliness during the COVID-19 pandemic and psychological distress indicates the need for intervention.

scholarly journals Factors Associated with Neonatal Mortality in Bangladesh: A Multilevel Analysis

2021 ◽  
Vol 69 (1) ◽  
pp. 15-21
Author(s):  
Hemel Das ◽  
Nitai Chakraborty
Keyword(s):  
Neonatal Mortality ◽  
Neonatal Death ◽  
Logistic Model ◽  
Logistic Regression Model ◽  
Community Level ◽  
Bivariate Analysis ◽  
Factors Associated ◽  
Stratified Sample ◽  
Multilevel Logistic Regression Model ◽  
Multilevel Logistic Model

This study aims at disentangling the influence of both individual and community level factors on neonatal death in Bangladesh. For analysis purpose, data are extracted from Bangladesh Demographic and Health Survey 2014. Bivariate analysis is used to examine the differentials in neonatal mortality by selected background variables of both levels. As the survey is based on a two-stage stratified sample of households, multilevel logistic regression model is used to analyze the cluster effect and to determine the factors associated with neonatal mortality. Multilevel logistic model confirmed that there exists clustering impact on neonatal death. Moreover, the study has suggested implementation of intervention addressing several individual and community level factors to ameliorate the current neonatal health scenario in Bangladesh. Dhaka Univ. J. Sci. 69(1): 15-21, 2021 (January)

scholarly journals Association between work attendance when experiencing fever or cold symptoms and company characteristics and socioeconomic status in the COVID-19 pandemic in Japanese workers: a cross-sectional study

2021 ◽  
Author(s):  
Kazuyoshi Mizuki ◽  
Makoto Okawara ◽  
Ayako Hino ◽  
Hajime Ando ◽  
Tomohisa Nagata ◽  
...  
Keyword(s):  
Socioeconomic Status ◽  
Logistic Model ◽  
Online Survey ◽  
Cross Sectional Study ◽  
Socioeconomic Background ◽  
Sectional Study ◽  
Odds Ratios ◽  
Cross Sectional ◽  
Japanese Workers ◽  
Multilevel Logistic Model

Abstract Objective: This study investigated the association between attending work while experiencing fever or cold symptoms and workers' socioeconomic background and company characteristics during the COVID-19 pandemic. Methods: A cross-sectional online survey was performed. Of a total of 33,302 participants, 3,676 workers who experienced fever or cold symptoms after April 2020 were included. The odds ratios (ORs) of attending work while sick associated with workers' socioeconomic background and company characteristics were evaluated using a multilevel logistic model. Results: The OR of attending work while sick associated with a lack of policy prohibiting workers from working when ill was 2.75 (95%CI: 2.28-3.20, P<0.001). Conclusion: This study suggests that clear company policies on work and illness can be effective for preventing employees from attending work while sick.

A Study on Nonlinear Population Dynamics Based on Energy Flow

2010 ◽  
Author(s):  
Xinqiang Zhu ◽  
Huayong Zhang ◽  
Lei Zhao ◽  
Tousheng Huang ◽  
Lu Han
Keyword(s):  
Growth Rate ◽  
Population Dynamics ◽  
Energy Flow ◽  
Logistic Model ◽  
Single Species ◽  
Ecological Effects ◽  
Carry Capacity ◽  
Available Energy

In considering energy flow between organism and environment, population dynamics for single species is studied in the present research. When the total available energy of environment is infinite, a model obeying the Malthusian law is obtained. Under the condition of limited total available energy, a model approximate Logistic Model is also established. These two models give a better comprehension on the ecological effects of growth rate and carry capacity of environment.

scholarly journals Choice Behavior of the Elderly Regarding Street-Crossing Facility

2018 ◽  
Vol 2018 ◽  
pp. 1-8
Author(s):  
Chong Wei ◽  
Xuedong Yan ◽  
Chunfu Shao ◽  
Jiang Sun ◽  
Lu Ma
Keyword(s):  
Logistic Model ◽  
Choice Behavior ◽  
Green Light ◽  
The Elderly ◽  
Regression Analyses ◽  
Choice Data ◽  
Street Crossing ◽  
Multilevel Logistic Model ◽  
Remaining Time ◽  
Different Levels

This study aims to understand the street-crossing-facility choice behavior of the elderly. The footbridges were classified into three types with different levels of convenience. On the other hand, the safety of the crosswalk was assumed to be highly related to the remaining time of pedestrian green light. An adaptive SP survey was designed to collect choice data from individuals aged 60 years or above, and a multilevel logistic model was developed to analyze the behavior data. The results indicated that convenience and safety exert significant influence on the facility choice behavior. The choice behavior of the elderly toward making trade-off decision between convenience and safety was further discussed through the multilevel logistic regression analyses.

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