scholarly journals Analysis of Household Survey Sample Size in Trip Modelling Process

2016 ◽  
Vol 14 ◽  
pp. 1753-1761 ◽  
Author(s):  
Tomasz Kulpa ◽  
Andrzej Szarata
Keyword(s):  
Sample Size ◽  
Household Survey ◽  
Survey Sample ◽  
Modelling Process

scholarly journals Knowledge on home management of diarrhea among caregivers of children below five years with diarrhea in Ngandu Location, Nyeri County, Kenya

2020 ◽  
Vol 7 (7) ◽  
pp. 2450
Author(s):  
Leah Wambui Gathogo ◽  
Sherry Oluchina ◽  
Elijah Mwangi
Keyword(s):  
Sample Size ◽  
Household Survey ◽  
Cross Sectional Study ◽  
Chi Square ◽  
Cross Sectional ◽  
Home Management ◽  
Level Of Education ◽  
Low Education ◽  
Level Of Knowledge ◽  
Cross Tabulation

Background: To prevent dehydration and malnutrition in children with diarrhea, it is important they get good management at home. The caregivers should commence home remedies immediately before they seek medical advice. This study assessed the level of knowledge on home management of diarrhea among caregivers of children below five years with diarrhea.Methods: This research applied descriptive cross-sectional study design. The current study was a household survey targeting caregivers of children below five years with diarrhea. The Cochran's sample size formula was used to calculate a sample size of 345 respondents. Purposive sampling was used to recruit respondents in the study. The study employed a researcher- administered semi-structured questionnaire and use of a checklist. Descriptive statistics and chi-square tests were used in the analysis.Results: The study found that that slightly above half 52.2% (n=180) of the respondents had low knowledge on management of diarrhea. There was a significant relationship (χ2=4.044, df=1, p<0.044) between respondent’s’ level of education and knowledge of home management of diarrhea. Cross tabulation showed that 60.2% of those who had low education also had low knowledge.Conclusions: The study concluded that the level of knowledge on home management of diarrhea among caregivers of children below five years with diarrhea was low. Level of education was a significant predictor of knowledge whereby low knowledge was associated with low education. The study recommends enhanced education of mothers on home management of diarrhea by nurses.

scholarly journals Linking Synthetic Populations to Household Geolocations: A Demonstration in Namibia

Data ◽  
2018 ◽  
Vol 3 (3) ◽  
pp. 30 ◽  
Author(s):  
Dana Thomson ◽  
Lieke Kools ◽  
Warren Jochem
Keyword(s):  
Household Survey ◽  
Population Census ◽  
Primary Sampling Unit ◽  
Middle Income ◽  
Demographic Research ◽  
Synthetic Populations ◽  
Population Variable ◽  
Enumeration Area ◽  
Synthetic Population ◽  
Survey Sample

Whether evaluating gridded population dataset estimates (e.g., WorldPop, LandScan) or household survey sample designs, a population census linked to residential locations are needed. Geolocated census microdata data, however, are almost never available and are thus best simulated. In this paper, we simulate a close-to-reality population of individuals nested in households geolocated to realistic building locations. Using the R simPop package and ArcGIS, multiple realizations of a geolocated synthetic population are derived from the Namibia 2011 census 20% microdata sample, Namibia census enumeration area boundaries, Namibia 2013 Demographic and Health Survey (DHS), and dozens of spatial covariates derived from publicly available datasets. Realistic household latitude-longitude coordinates are manually generated based on public satellite imagery. Simulated households are linked to latitude-longitude coordinates by identifying distinct household types with multivariate k-means analysis and modelling a probability surface for each household type using Random Forest machine learning methods. We simulate five realizations of a synthetic population in Namibia’s Oshikoto region, including demographic, socioeconomic, and outcome characteristics at the level of household, woman, and child. Comparison of variables in the synthetic population were made with 2011 census 20% sample and 2013 DHS data by primary sampling unit/enumeration area. We found that synthetic population variable distributions matched observed observations and followed expected spatial patterns. We outline a novel process to simulate a close-to-reality microdata census geolocated to realistic building locations in a low- or middle-income country setting to support spatial demographic research and survey methodological development while avoiding disclosure risk of individuals.

Aircraft noise and mental health: I. Prevalence of individual symptoms

1980 ◽  
Vol 10 (4) ◽  
pp. 683-698 ◽  
Author(s):  
Alex Tarnopolsky ◽  
Gareth Watkins ◽  
David J. Hand
Keyword(s):  
Mental Health ◽  
Sample Size ◽  
Psychiatric Disorders ◽  
Health Effects ◽  
Low Noise ◽  
Aircraft Noise ◽  
Survey Sample

SYNOPSISA domiciliary survey (sample size circa 6000) was conducted in areas of different aircraft exposure affected by London (Heathrow) Airport. Respondents were urban dwellers age 16+. Since no differences were found in the prevalence of manifest psychiatric disorders, the frequency of 27 individual acute and chronic symptoms was investigated. Many acute symptoms showed an increase with noise, and this was particularly evident for waking at night, irritability, depression, difficulty in getting to sleep, swollen ankles, burns/cuts/minor accidents, and skin troubles. Two chronic symptoms, tinnitus and ear problems, showed evidence of an increase with noise, while most chronic symptoms were more common in low noise conditions. Results are controlled for the effects of age, sex and other standard epidemiological variables. Irrespective of their association with noise, most symptoms, chronic and acute, were more frequent among those respondents who also reported high annoyance. Suggestions for the analysis of surveys of health effects by noise are put forward.

scholarly journals Remarkable variability in SARS-CoV-2 antibodies across Brazilian regions: nationwide serological household survey in 27 states

2020 ◽  
Author(s):  
Pedro C Hallal ◽  
Fernando P Hartwig ◽  
Bernardo L Horta ◽  
Gabriel D Victora ◽  
Mariângela F Silveira ◽  
...  
Keyword(s):  
Sample Size ◽  
Indigenous People ◽  
Rapid Test ◽  
Household Survey ◽  
Federal District ◽  
Population Based ◽  
The South ◽  
The North ◽  
Slow Progression ◽  
The City

AbstractPopulation based data on COVID-19 are essential for guiding public policies. We report on the first of a series of planned seroprevalence surveys relying upon on household probabilistic samples of 133 large sentinel cities in Brazil, including 25,025 participants from all 26 states and the Federal District. Seroprevalence of antibodies to SARS-CoV-2, assessed using a lateral flow rapid test, varied markedly across the country’s cities and regions, from below 1% in most cities in the South and Center-West regions to up to 25% in the city of Breves in the Amazon (North) region. Eleven of the 15 cities with the highest seroprevalence were located in the North, including the six cities with highest prevalence which were located along a 2,000 km stretch of the Amazon river. Overall seroprevalence for the 90 cities with sample size of 200 or greater was 1.4% (95% CI 1.3–1.6). Extrapolating this figure to the population of these cities, which represent 25% of the country’s population, led to an estimate of 760,000 cases, as compared to the 104,782 cases reported in official statistics. Seroprevalence did not vary significantly between infancy and age 79 years, but fell by approximately two-thirds after age 80 years. Prevalence was highest among indigenous people (3.7%) and lowest among whites (0.6%), a difference which was maintained when analyses were restricted to the North region, where most indigenous people live. Our results suggest that pandemic is highly heterogenous, with rapid escalation in Brazil’s North and Northeast, and slow progression in the South and Center-West regions.

scholarly journals The Prevalence of Diabetes and Pre-Diabetes among the Dubai Population: Findings from Dubai Household Health Surveys, 2014 and 2017

2020 ◽  
Vol 26 (2) ◽  
pp. 78-84
Author(s):  
Fatheya Alawadi ◽  
Mohamed Hassanein ◽  
Eldaw  Suliman ◽  
Hamid Y. Hussain ◽  
Heba Mamdouh ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Sampling Technique ◽  
Household Survey ◽  
Normal Weight ◽  
Undiagnosed Diabetes ◽  
Cross Sectional ◽  
Family History Of Diabetes ◽  
Younger Age ◽  
History Of ◽  
Survey Sample

<b><i>Background:</i></b> Diabetes mellitus is a leading cause of morbidity and mortality worldwide, imposing a considerable burden on health systems and societies as it affects both individuals and their families and has a large impact on the economic and social development of a country. <b><i>Objectives:</i></b> The purpose of this study was to study the prevalence of diabetes and pre-diabetes among the Dubai population and associations with diabetes risk factors. <b><i>Methodology:</i></b> A cross-sectional Diabetes Household Survey was carried out in the Emirates of Dubai during 2017 as a complementary stage of the Dubai Household Survey, 2014, which was a randomly selected, multistage, stratified, cluster survey. The sampling technique was selected to assess the rates of undiagnosed diabetes as well as the rates of pre-diabetes through screening with HbA1c. The size of the 2017 survey sample was estimated at 300 individuals for Emirati and 300 for non-Emirati. An additional 200 individuals were added to address non-response cases. These were added to those who were identified as diabetics in the 2014 Household Health Survey and then weighted to give a representative sample for the Dubai population. <b><i>Results:</i></b> The study revealed that the prevalence of diabetes in Dubai among UAE nationals was 19%, and it was 14.7% for expats. Consequently, the overall prevalence of diabetes in Dubai is 15.2%. Undiagnosed diabetes was 10% in UAE nationals and 10.9% in expats. Pre-diabetes in UAE national males was lower than in females, although this pattern was not observed among expats. Younger age, normal weight, and exercise were associated with lower rates of diabetes and pre-diabetes in UAE nationals and expats. Hypertension was associated with higher rates of diabetes regardless of nationality. <b><i>Conclusions:</i></b> The study concluded that the prevalence of diabetes among the Dubai population is alarmingly high and that a large proportion of the population are not aware of their diagnosis. A higher prevalence of diabetes is associated with multiple factors, such as age, male gender, hypertension, higher BMI, lack of exercise, and lower level or no education, as well as a family history of diabetes mellitus. Many of these factors can be easily modified, which could lead to a decrease in the burden of the disease.

scholarly journals Linking Synthetic Populations to Household Geolocations: A Demonstration in Namibia

2018 ◽  
Author(s):  
Dana R. Thomson ◽  
Lieke Kools ◽  
Warren C. Jochem
Keyword(s):  
Household Survey ◽  
Population Census ◽  
Primary Sampling Unit ◽  
Middle Income ◽  
Demographic Research ◽  
Synthetic Populations ◽  
Population Variable ◽  
Enumeration Area ◽  
Synthetic Population ◽  
Survey Sample

Whether evaluating gridded population dataset estimates (e.g. WorldPop, LandScan) or household survey sample designs, a population census linked to residential locations are needed. Geolocated census microdata data, however, are almost never available and are thus best simulated. In this paper, we simulate a close-to-reality population of individuals nested in households geolocated to realistic building locations. Using the R simPop package and ArcGIS, multiple realizations of a geolocated synthetic population are derived from the Namibia 2011 census 20% microdata sample, Namibia census enumeration area boundaries, Namibia 2013 Demographic and Health Survey (DHS), and dozens of publicly available spatial datasets. Realistic household latitude-longitude coordinates are manually generated based on public satellite imagery. Simulated households are linked to latitude-longitude coordinates by identifying distinct household types with multivariate kmeans analysis, and modelling a probability surface for each household type using Random Forest machine learning methods. We simulate five realizations of a synthetic population in Namibia's Oshikoto region, including demographic, socioeconomic and outcome characteristics at the level of household, woman, and child. Comparison of variables in the synthetic population were made with 2011 census 20% sample and 2013 DHS data by primary sampling unit/enumeration area. We found that synthetic population variable distributions matched observed observations and followed expected spatial patterns. We outline a novel process to simulate a close-to-reality microdata census geolocated to realistic building locations in a low- or middle-income country setting to support spatial demographic research and survey methodological development while avoiding disclosure risk of individuals.

scholarly journals Consumer Preferences and Socioeconomic Factors Decided on Plantain and Plantain-Based Products in the Central Region of Cameroon and Oyo State, Nigeria

Foods ◽  
2021 ◽  
Vol 10 (8) ◽  
pp. 1955
Author(s):  
Patchimaporn Udomkun ◽  
Cargele Masso ◽  
Rony Swennen ◽  
Bhundit Innawong ◽  
Apollin Fotso Kuate ◽  
...  
Keyword(s):  
Willingness To Pay ◽  
Central Region ◽  
Nutritional Value ◽  
Consumer Preferences ◽  
Household Survey ◽  
Consumer Preference ◽  
Cooking Methods ◽  
Southwest Nigeria ◽  
Survey Sample ◽  
Similarity And Difference

Plantain is a key staple food in Central and West Africa, but there is limited understanding of its market in Africa. In addition, the cooking methods for enhancing the nutritional value, consumer preference, and willingness to pay for plantain and plantain-based products are not well understood. The knowledge gaps in the market and consumer dimension of the food chain need to be known to increase plantain utilization and guide breeding efforts. This research contributes by examining the cooking methods, consumer preference, and willingness to pay for plantain and plantain-based products in Cameroon and Nigeria. A household survey sample of 454 Cameroonian consumers in four divisions of Central Region and 418 Nigerian consumers in seven government areas of Oyo State in southwest Nigeria was the basis for the analysis. The results showed some levels of similarity and difference in the consumption and cooking of boiled, roasted, and fried plantain in both countries. The trend in consumption of all plantain-based products was constant in Cameroon but increased in Nigeria. The most important factor influencing Cameroonian consumers’ choice of plantain and its products was taste, while the nutrition trait influenced Nigerian consumers. Both Cameroonian and Nigerian consumers considered packaging, location of produce, and size and quantity as the least important factors. In addition, socioeconomic characteristics were significant determinants of consumers’ choices to consume plantain and its products. Gender significantly influenced (p < 0.05) taste, while nutrition was significantly driven (p < 0.05) by education and annual income. Household size played a significant role (p < 0.05) in consumers’ choices when the price was considered. These findings serve as a guideline to improve existing products to match the needs of consumers in each country and develop products for different consumer segments and potentially increase production.

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