scholarly journals Multidimensional Poverty Modeling for Namibia Using the Beta Distribution

2021 ◽  
Vol 10 (6) ◽  
pp. 47
Author(s):  
Ndubano Mafale ◽  
Dismas Ntirampeba ◽  
Jacob Ong’ala
Keyword(s):  
Beta Distribution ◽  
Household Income ◽  
Multidimensional Poverty ◽  
Modeling Approach ◽  
Expenditure Survey ◽  
Northern Regions ◽  
The Mean

Despite global efforts in alleviating poverty, many people are still living in poverty. Different methods were employed to estimate poverty with many researchers moving from monetary to multidimensional poverty modeling approach. In Namibia, very few studies have been conducted to estimate poverty in a multidimensional sense. The 2015/2016 Namibia household income and expenditure survey dataset was employed to develop multidimensional poverty indices (MPIs) using beta distribution. We showed that the MPI is equivalent to the mean of the left truncated beta distribution. The results revealed that the northern regions of Namibia are the most affected by multidimensional poverty. The results from this study can be used to identify areas that are severely affected by poverty and consequently form a basis to develop appropriate measures intended to alleviate poverty.

scholarly journals Dynamic modeling of nutrient use and individual requirements of lactating sows1

2019 ◽  
Vol 97 (7) ◽  
pp. 2822-2836 ◽  
Author(s):  
Raphaël Gauthier ◽  
Christine Largouët ◽  
Charlotte Gaillard ◽  
Laetitia Cloutier ◽  
Frédéric Guay ◽  
...  
Keyword(s):  
Feed Intake ◽  
Average Daily Gain ◽  
Individual Performance ◽  
Maintenance Cost ◽  
Nutrient Requirements ◽  
Modeling Approach ◽  
Ex Post ◽  
Nutrient Use ◽  
The Mean ◽  
On Farm

AbstractNutrient requirements of sows during lactation are related mainly to their milk yield and feed intake, and vary greatly among individuals. In practice, nutrient requirements are generally determined at the population level based on average performance. The objective of the present modeling approach was to explore the variability in nutrient requirements among sows by combining current knowledge about nutrient use with on-farm data available on sows at farrowing [parity, BW, backfat thickness (BT)] and their individual performance (litter size, litter average daily gain, daily sow feed intake) to estimate nutrient requirements. The approach was tested on a database of 1,450 lactations from 2 farms. The effects of farm (A, B), week of lactation (W1: week 1, W2: week 2, W3+: week 3 and beyond), and parity (P1: 1, P2: 2, P3+: 3 and beyond) on sow performance and their nutrient requirements were evaluated. The mean daily ME requirement was strongly correlated with litter growth (R2 = 0.95; P < 0.001) and varied slightly according to sow BW, which influenced the maintenance cost. The mean daily standardized ileal digestible (SID) lysine requirement was influenced by farm, week of lactation, and parity. Variability in SID lysine requirement per kg feed was related mainly to feed intake (R2 = 0.51; P < 0.001) and, to a smaller extent, litter growth (R2 = 0.27; P < 0.001). It was lowest in W1 (7.0 g/kg), greatest in W2 (7.9 g/kg), and intermediate in W3+ (7.5 g/kg; P < 0.001) because milk production increased faster than feed intake capacity did. It was lower for P3+ (6.7 g/kg) and P2 sows (7.3 g/kg) than P1 sows (8.3 g/kg) due to the greater feed intake of multiparous sows. The SID lysine requirement per kg of feed was met for 80% of sows when supplies were 112 and 120% of the mean population requirement on farm A and B, respectively, indicating higher variability in requirements on farm B. Other amino acid and mineral requirements were influenced in the same way as SID lysine. The present modeling approach allows to capture individual variability in the performance of sows and litters according to farm, stage of lactation, and parity. It is an initial step in the development of new types of models able to process historical farm data (e.g., for ex post assessment of nutrient requirements) and real-time data (e.g., to control precision feeding).

scholarly journals Prevalence of periodontitis and alveolar bone loss in a patient population at Harvard School of Dental Medicine

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Mohammad F. Helmi ◽  
Hui Huang ◽  
J. Max Goodson ◽  
Hatice Hasturk ◽  
Mary Tavares ◽  
...  
Keyword(s):  
Bone Loss ◽  
Household Income ◽  
Alveolar Bone ◽  
Alveolar Bone Loss ◽  
Median Household Income ◽  
Posterior Teeth ◽  
The Mean ◽  
High Household Income ◽  
Harvard School ◽  
Loss Level

Abstract Background Although several studies assessed the prevalence of alveolar bone loss, the association with several risk factors has not been fully investigated. The aim of this article is to measure the prevalence of periodontitis by calculating the mean alveolar bone loss/level of posterior teeth using bitewing radiographs among the patients enrolled in the clinics at Harvard School of Dental Medicine and address risk factors associated with the disease. Methods One thousand one hundred thirty-one patients were selected for radiographic analysis to calculate the mean alveolar bone loss/level by measuring the distance between the cementoenamel junction and the alveolar bone crest on the mesial and distal surfaces of posterior teeth. Linear regression with Multi-level mixed-effect model was used for statistical analysis adjusting for age, sex, race, median household income, and other variables. Results Mean alveolar bone level of the whole sample was 1.30 mm (±0.006). Overall periodontitis prevalence for the sample was 55.5% (±1.4%). Moderate periodontitis prevalence was 20.7% (±1.2%), while 2.8% (±0.5%) of the whole sample had severe periodontitis. Adjusted mean alveolar bone loss was higher in older age groups, males, Asian race group, ever smokers, and patients with low median household income. Conclusion The effect of high household income on the amount of bone loss can be powerful to the degree that high household income can influence outcomes even for individuals who had higher risks of developing the disease. Public health professionals and clinicians need to collaborate with policy makers to achieve and sustain high quality of healthcare for everyone.

Botulism in Native Peoples - An Economic Study

1988 ◽  
Vol 51 (7) ◽  
pp. 581-587 ◽  
Author(s):  
EWENC. D.TODD
Keyword(s):  
Local Treatment ◽  
Future Health ◽  
Fermented Fish ◽  
Native Peoples ◽  
Health Care Practices ◽  
Northern Regions ◽  
Future Health Care ◽  
The Mean ◽  
The Cost ◽  
Mean Cost

Type E botulism occurs regularly in scattered locations in the Canadian Arctic and northern coastal British Columbia from the consumption of improperly fermented fish and marine mammal products by native peoples, with an average of eight cases and 1.5 deaths each year. Local treatment at nursing stations is often followed by the evacuation of the patients to the main northern hospitals, e.g. Iqaluit and Inuvik with subsequent intensive care, if necessary, in Montreal, Winnipeg, Edmonton or Vancouver. Estimates of costs of six incidents in these northern regions showed that the evacuation of patients was the most expensive component (mean, 31.2%), followed by hospitalization (23.8%) and investigation of the illnesses (19.4%). The mean cost per incident was over $70,000, or $7,200 per case. If these figures are extrapolated, the cost of botulism in these areas is about $2 million each year, with $1.5 million being considered the value of the lives lost. Current and future health care practices in northern regions should be evaluated in relation to these and other costs.

scholarly journals Poor Residents’ Perceptions of the Impacts of Tourism on Poverty Alleviation: From the Perspective of Multidimensional Poverty

2020 ◽  
Vol 12 (18) ◽  
pp. 7515
Author(s):  
Kai Wang ◽  
Chang Gan ◽  
Lijun Chen ◽  
Mihai Voda
Keyword(s):  
Health Care ◽  
Delphi Method ◽  
Poverty Alleviation ◽  
Multidimensional Poverty ◽  
Evaluation Framework ◽  
The Other ◽  
Analytic Hierarchy ◽  
Economic Level ◽  
The Mean ◽  
Hierarchy Process

Tourism plays a crucial role in alleviating poverty deprivations and achieving sustainable development. Nevertheless, there is a lack of literature regarding evaluating poor residents’ perceptions of the impacts of tourism on poverty alleviation from the perspective of multidimensional poverty. Taking Fenghuang County, China, as the study area, this study established an evaluation framework by using the Delphi method based on multidimensional poverty theory. Moreover, analytic hierarchy process (AHP) was employed to identify the weight of each indicator and assess poor residents’ perceptions of the impacts of tourism on poverty alleviation. The results indicate that tourism economic development has been a momentous contributor to alleviating multidimensional poverty in study locations to a certain extent (3.180). However, there is still room for improvement and promotion. With respect to various dimensions, the mean of economic level is the highest (1.125), whilst the means of education training (0.420) and health care (0.819) are relatively lower than the other dimensions.

Antibiotic use in pregnancy: knowledge, attitudes and practices among pregnant women in Cape Town, South Africa

2019 ◽  
Author(s):  
Andre N H Bulabula ◽  
Angela Dramowski ◽  
Shaheen Mehtar
Keyword(s):  
South Africa ◽  
Pregnant Women ◽  
Household Income ◽  
Cape Town ◽  
Antibiotic Use ◽  
Self Medication ◽  
Monthly Household Income ◽  
Attitudes And Practices ◽  
The Mean ◽  
Knowledge Attitudes And Practices

Abstract Objectives To establish the knowledge, attitudes and practices (KAP) regarding antibiotic use and self-medication among pregnant women. Methods We conducted a KAP survey of 301 pregnant women hospitalized at a tertiary hospital obstetric service in Cape Town, South Africa in November and December 2017, using an interviewer-administered 12 item questionnaire. We stratified analysis of attitudes and practices by participants’ mean knowledge score (K-score) group (<6 versus ≥6 out of 7 questions). Multivariate models were built to identify independent predictors of antibiotic self-medication and K-score. Results The mean age of pregnant women was 29 (SD 6.1) years, 44/247 (17.8%) were nulliparous, 69/247 (27.9%) were HIV-infected, 228/247 (92.3%) had completed secondary school and 78/247 (31.6%) reported a monthly household income in the lowest category of ≤50–100 US dollars (USD). The mean K-score was 6.1 (SD 1.02) out of 7 questions. Sixteen percent of the cohort reported antibiotic self-medication, with higher rates among pregnant women with K-score <6 [18/48 (37.5%) versus 32/253 (12.6%); P < 0.001]. The monthly household income category of >500 USD (the highest category) was the only predictor of antibiotic self-medication behaviour [adjusted OR = 6.4 (95% CI 1.2–35.2), P = 0.03]. Conclusions Higher antibiotic knowledge scores are associated with lower rates of antibiotic self-medication, whereas higher household income is correlated with increasing self-medication behaviours. Education of pregnant women regarding the potential dangers of antibiotic self-medication and stricter enforcement of existing South African antibiotic prescribing and dispensing regulations are needed.

Food Crop Production, Nutrient Availability, and Nutrient Intakes in Bangladesh: Exploring the Agriculture—Nutrition Nexus with the 2010 Household Income and Expenditure Survey

2014 ◽  
Vol 35 (4) ◽  
pp. 487-508 ◽  
Author(s):  
John L. Fiedler
Keyword(s):  
Nutrient Availability ◽  
Household Income ◽  
Nutrient Intake ◽  
Crop Production ◽  
Household Surveys ◽  
Food Crop ◽  
Available Energy ◽  
Expenditure Survey ◽  
Food Crop Production ◽  
Farming Households

Background Systematic collection of national agricultural data has been neglected in many low- and middle-income countries for the past 20 years. Commonly conducted nationally representative household surveys collect substantial quantities of highly underutilized food crop production data. Objective To demonstrate the potential usefulness of commonly available household survey databases for analyzing the agriculture—nutrition nexus. Methods Using household data from the 2010 Bangladesh Household Income and Expenditure Survey, the role and significance of crop selection, area planted, yield, nutrient production, and the disposition of 34 food crops in affecting the adequacy of farming households' nutrient availability and nutrient intake status are explored. The adequacy of each farming household's available energy, vitamin A, calcium, iron, and zinc and households' apparent intakes and intake adequacies are estimated. Each household's total apparent nutrient intake adequacies are estimated, taking into account the amount of each crop that households consume from their own production, together with food purchased or obtained from other sources. Results Even though rice contains relatively small amounts of micronutrients, has relatively low nutrient density, and is a relatively poor source of nutrients compared with what other crops can produce on a given tract of land, because so much rice is produced in Bangladesh, it is the source of 90% of the total available energy, 85% of the zinc, 67% of the calcium, and 55% of the iron produced by the agricultural sector. The domination of agriculture and diet by rice is a major constraint to improving nutrition in Bangladesh. Simple examples of how minor changes in the five most common cropping patterns could improve farming households' nutritional status are provided. Conclusions Household surveys' agricultural modules can provide a useful tool for better understanding national nutrient production realities and possibilities.

EFFET DU CLIMAT SUR LA FLETRISSURE BACTERIENNE DE LA POMME DE TERRE ET RELATION AVEC LE CONTENU EN SUCRES DES TIGES

1976 ◽  
Vol 56 (3) ◽  
pp. 549-554 ◽  
Author(s):  
ROGER PAQUIN ◽  
H. GÉNÉREUX
Keyword(s):  
Sugar Content ◽  
Degree Days ◽  
Bacterial Ring Rot ◽  
Higher Plant ◽  
Disease Evolution ◽  
Ring Rot ◽  
Mean Temperature ◽  
Northern Regions ◽  
The Mean ◽  
The One

Potato cultivars resistant to bacterial ring rot, inoculated with Corynebacterium sepedonicum, were more infected in the northern regions (North Shore) than at La Pocatière (South Shore of St. Lawrence River) where the number of degree-days and mean temperatures are higher. Plant stems from the Northern regions had a higher total and reducing sugar content than those of La Pocatière and there was a significant correlation between sugar content and the mean temperature or the number of degree-days. However, the latter correlation is more significant than the one between the percentage of infected plants and the mean temperature or the number of degree-days in that region. The possible role of sugars in the disease evolution in the cool regions is discussed.

scholarly journals Household Food Expenditure Share During Pregnancy: Evidence From Rural Sri Lanka

2021 ◽  
Vol 5 (Supplement_2) ◽  
pp. 753-753
Author(s):  
Sajaan Gunarathne ◽  
Nuwan Wickramasinghe ◽  
Thilini Agampodi ◽  
Indika Prasanna ◽  
Suneth Agampodi
Keyword(s):  
Sri Lanka ◽  
Pregnant Women ◽  
Household Income ◽  
Repeated Measure ◽  
Household Food ◽  
Education Expansion ◽  
Significant Difference ◽  
Expenditure Share ◽  
Food Expenditure ◽  
The Mean

Abstract Objectives Maternal nutritional requirements are expected to vary during pregnancy due to changing demands. Household food expenditure (HFE) reflects the affordability for these nutritional demands. We explored the relationship between household income and the HFE during pregnancy. Methods The study was a part of Rajarata Pregnancy Cohort (RaPCo), a prospective cohort conducted in Anuradhapura district, Sri Lanka in 2019. Participants were recruited in the 1st trimester and followed up monthly for household expenditure data using a self-administered questionnaire. The associations between household income and HFE during all three trimesters were assessed with one-way ANOVA, repeated measure ANOVA, and correlation analysis. Results The sample sizes for each trimester were 1288,1049, and 168 pregnant women respectively. The mean (SD) age was 28.3 (5.6) years. The mean (SD) monthly household income and the expenditure were USD 261.29 (203.58) and USD 168.41 (108.68) respectively. The mean (SD) monthly HFE for each trimester were USD 55.18 (32.90), USD 55.07 (30.93), and USD 55.46 (31.67). There was a weak positive correlation (r = 0.022, p = 0.429) between household income and HFE in the 1st trimester and there were significant positive correlations in the 2nd (r = 0.275, p = 0.001) and 3rd trimesters (r = 0.403, p = 0.001). The household food expenditure share (HFES) out of total expenditure across three trimesters (35.0%, 33.3%, and 36.3%) were significantly different [F(2,134) = 3.82, p = 0.024]. The HFES in the income quintiles showed statistically significant difference only in the 2nd trimester [F(4,871) = 9.97, p = 0.001] and the HFHS from the lowest to the highest quintile were 36.1%, 31.7%, 32.1%, 30.0%, and 27.7% respectively. Conclusions On average, Sri Lankan rural pregnant women spend USD 55.24 as HFE and the HFES is 34.9%. The reported HFES value is consistent with the national household estimates in Sri Lanka. Even though the income is positively correlated with food expenditure, the HFES across income quintiles remain high during pregnancy, which reflects the perceived importance of addressing food requirements irrespective of the income. Funding Sources Accelerating Higher Education Expansion and Development (AHEAD), World Bank.

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