scholarly journals A Characterisation and Profiling of District Health Indicators in Zimbabwe: An Application of Principal Component Analysis in a Data Limited Setting

10.36469/9833 ◽  
2015 ◽  
Vol 3 (2) ◽  
pp. 162-179
Author(s):  
Shepherd Shamu ◽  
Simbarashe Rusakaniko ◽  
Charles Hongoro
Keyword(s):  
Principal Component Analysis ◽  
Secondary Data ◽  
Principal Component ◽  
Health Indicators ◽  
Component Analysis ◽  
Health Seeking ◽  
District Health ◽  
Levels Of Care ◽  
Composite Indices ◽  
Equitable Allocation

Background: The Ministry of Health and Child Care, Zimbabwe does not have a method for prioritization and equitable allocation of its share of the national health budget and other resources in the sector. Regional allocations at the provincial level are made regardless of the provinces’ disease burden, population size, or needs. Currently there is no method available to show how the provinces eventually allocate these resources to the lower levels of care. In a data limited country such as Zimbabwe, Principal Component Analysis method can be used to identify a set of indicators that account for cross variation between different regions. This set of indicators could then be used by planners as reference indicators for equitable allocation of resources and prioritization of health care interventions. Objective: The aim of the study was to construct a set of simple, feasible, reliable and valid composite health indicators for use in characterising and profiling of the different districts in Zimbabwe. Method: This was a retrospective analysis of secondary data to derive composite indices for the 57 administrative health districts in Zimbabwe using routinely collected secondary data. The data was extracted from the 2012 Zimbabwe Health information database, the 2012 National Census and the 2011 Prices, Income and Expenditure Survey. Results: The analysis of the data resulted in the construction of 10 mutually exclusive principal composite indices, which included demographic, child related, disease related and health systems related indices. The 10 composite indices (population, immunisation, child mortality, antenatal care, HIV/TB, malaria, non-communicable diseases, socioeconomic, health seeking behaviour and infrastructure) were tested for construct and content validity and were found to be statistically robust, reliable and consistent with observed behaviour. Conclusion: The composite indices exhibited internal consistency and construct validity to be regarded as true representations of the cross variation of the 57 districts in Zimbabwe; hence these indices could be used to characterise the behaviour and assess the performance of these districts. There is also potential use for these indices in the areas of resource allocation and prioritisation of health interventions.

scholarly journals Penggunaan Analisis Komponen Utama Dalam Penggabungan Data Peubah Ganda pada Kasus Produksi Pertanian dan Perkebunan Di Wilayah Bolaang Mongondow Tahun 2008

d'CARTESIAN ◽  
2014 ◽  
Vol 3 (2) ◽  
pp. 1 ◽  
Author(s):  
Sunarsi Habib Abdurrachman ◽  
Hanny Komalig ◽  
Nelson Nainggolan
Keyword(s):  
Principal Component Analysis ◽  
Initial Data ◽  
Principal Components ◽  
Multivariate Data ◽  
Secondary Data ◽  
Principal Component ◽  
Component Analysis ◽  
The North ◽  
North Sulawesi ◽  
Production Agriculture

Abstract The objective of this research is to study the combine the two groups of data with multivariate variables using Principal Component Analysis. The data used in this study is a secondary data drawn from the North Sulawesi BPS data in Production Agriculture and Plantation Bolaang Mongondow region in 2008. The results show that PCA can be used to combining two separate groups multivariate data and the correlation between the Principal Components of the data are combined with the Principal Component of the overall initial data (intact) is relatively high wich correlation between PC1 and PC1AB as big 0,987 and correlation between PC2 and PC2AB as big 0,916. Keywords : Principal Component Analysis, Agriculture Production and Plantation Abstrak Tujuan penelitian ini adalah menggabungkan dua gugus data peubah ganda dengan menggunakan Analisis Komponen Utama. Data yang digunakan dalam penelitian ini merupakan data sekunder yang diambil dari BPS Sulawesi Utara yakni Data Produksi Pertanian Dan Perkebunan Di Wilayah Bolaang Mongondow Tahun 2008. Hasilnya menunjukkan bahwa AKU dapat digunakan untuk menggabungkan dua gugus data peubah ganda yang terpisah dan korelasi antara komponen utama dari data yang digabungkan dengan komponen utama dari keseluruhan data awal (utuh)  relatif tinggi yakni dengan nilai korelasi PC1 dan PC1AB sebesar 0,987 dan PC2 dan PC2AB  sebesar 0,916.   Kata kunci : Analisis Komponen Utama, Produksi Pertanian dan Perkebunan

scholarly journals Different Crime Types in Western Cape Province: Principal Component Analysis

2016 ◽  
Vol 8 (5(J)) ◽  
pp. 18-26
Author(s):  
Kyei KA ◽  
Tshisikhawe TH ◽  
Dube LM
Keyword(s):  
Principal Component Analysis ◽  
Urban Areas ◽  
Secondary Data ◽  
Principal Component ◽  
Component Analysis ◽  
Western Cape ◽  
Western Cape Province ◽  
Factors Affecting ◽  
Crime Types ◽  
High Crime

South Africa has a very high crime rate compared to most countries. Crime affects the society, business and psychology of the people. It compels people to move out or come into a particular area. It is most prevalent in the urban areas where poverty gap is conspicuous. Western Cape and Gauteng Provinces are the best developed provinces in the country and therefore have higher crime levels. But the question is: what types of crime are prevalent in the Western Cape Province? And what are the major causes of these crimes? The purpose of this paper is to identify the different types of crimes committed in the Western Cape Province which are prominent. Principal Component analysis (PCA) has been use in this study to gauge the patterns of crime and the distinct important factors affecting the level of crime. Secondary data from a website have been used in the analysis. The results show that violence and vehicle thefts are the most committed crimes in the province. The areas where crime occurs most frequently are Bellville, Cape Town Central, Gugulethu, Harare, Khayelisha, Mitchells Plain, Nyanga and Parow. Firearms have been identified as major means for committing crime. The paper recommends that attempts be made by the provincial government to clamp down unlicensed fire arm holders/dealers. Amnesty should be granted to encourage holders of unlicensed fire arms to surrender without punishment and the public should report to the police all those dealing in unlicensed firearms in order to root out crime in the province.

scholarly journals POTRET KESEHATAN MASYARAKAT DI KOTA PADANG DENGAN METODE WAJAH CHERNOFF

2019 ◽  
Vol 16 (1) ◽  
pp. 102-109
Author(s):  
A Oktavia ◽  
I Rina ◽  
V Agusta
Keyword(s):  
Public Health ◽  
Principal Component Analysis ◽  
Principal Component ◽  
Health Indicators ◽  
Component Analysis ◽  
Health Protection ◽  
Facial Features ◽  
Multiple Variable ◽  
Public Health Protection ◽  
The City

Chernoff Face Method is a method used to represent multiple variable data in the form of a cartoon face with 20 specific facial features. In this study, we will show how the use of the Chernoff face method to see a portrait of public health in the city of Padang. Health indicators will be paired with specific facial features of Chernoff's face using Principal Component Analysis (PCA). The results of this study are expected to provide an overview of public health protection for each sub-district in Padang City and Padang City as a whole. Keywords : Chernoff Face Method, Health Indicators, Principal Component Ananlysis.

Standard of Living of Tribal Households in Rural Areas of North-East India: A Principal Component Analysis Approach

2020 ◽  
pp. 598-605
Keyword(s):  
Principal Component Analysis ◽  
Rural Areas ◽  
Secondary Data ◽  
Principal Component ◽  
Component Analysis ◽  
Standard Of Living ◽  
Living Standard ◽  
North East ◽  
The North ◽  
East Region

The study is an attempt to construct a standard of living index (SLI) using principal component analysis method and to measure the living standard of tribal population in rural areas of the north-east region of India. The study stands on secondary data source namely census report 2011. The principal component analysis (PCA) method was deployed to analyse the data and deal with the objectives of the study. The study found that the North-East region as a whole belonged to the medium category in terms of living standard of tribal households. Mizoram ranked top among the north-eastern states by securing the highest living standard of Mizo tribes while Assam scored the lowest living standard of tribal communities.

scholarly journals Penerapan Principal Component Analysis dalam Penentuan Faktor Dominan Cuaca Terhadap Penyebaran Covid-19 di Surabaya

2021 ◽  
pp. 11-18
Author(s):  
Khusnia Nurul Khikmah
Keyword(s):  
Infectious Disease ◽  
Principal Component Analysis ◽  
Principal Components ◽  
Secondary Data ◽  
Principal Component ◽  
Component Analysis ◽  
Weather And Climate

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and the transmission can mediate human-to human by enviroment. According to Indonesian Meterological, Climatological, and Geophysical Agency found that weather and climate were supporting factors of COVID-19 outbreak so, research and analysis is carried out regarding the most factor were supporting the spread of COVID-19. In this study, using secondary data obtained from data reported by Indonesian Meterological, Climatological, and Geophysical Agency. According the aims of this study by using Principal Component Analysis (PCA) there are three principal components which represents the most factor were supporting the spread of COVID-19 they are temperature, humidity, and length of sunshine.

A German version of the Intermittent Claudication Questionnaire (ICQ): cultural adaptation and validation

VASA ◽  
2012 ◽  
Vol 41 (5) ◽  
pp. 333-342 ◽  
Author(s):  
Kirchberger ◽  
Finger ◽  
Müller-Bühl
Keyword(s):  
Principal Component Analysis ◽  
Intermittent Claudication ◽  
Completion Time ◽  
Short Form ◽  
Principal Component ◽  
Component Analysis ◽  
German Version ◽  
Average Completion Time ◽  
Sf 36 ◽  
Related Quality

Background: The Intermittent Claudication Questionnaire (ICQ) is a short questionnaire for the assessment of health-related quality of life (HRQOL) in patients with intermittent claudication (IC). The objective of this study was to translate the ICQ into German and to investigate the psychometric properties of the German ICQ version in patients with IC. Patients and methods: The original English version was translated using a forward-backward method. The resulting German version was reviewed by the author of the original version and an experienced clinician. Finally, it was tested for clarity with 5 German patients with IC. A sample of 81 patients were administered the German ICQ. The sample consisted of 58.0 % male patients with a median age of 71 years and a median IC duration of 36 months. Test of feasibility included completeness of questionnaires, completion time, and ratings of clarity, length and relevance. Reliability was assessed through a retest in 13 patients at 14 days, and analysis of Cronbach’s alpha for internal consistency. Construct validity was investigated using principal component analysis. Concurrent validity was assessed by correlating the ICQ scores with the Short Form 36 Health Survey (SF-36) as well as clinical measures. Results: The ICQ was completely filled in by 73 subjects (90.1 %) with an average completion time of 6.3 minutes. Cronbach’s alpha coefficient reached 0.75. Intra-class correlation for test-retest reliability was r = 0.88. Principal component analysis resulted in a 3 factor solution. The first factor explained 51.5 of the total variation and all items had loadings of at least 0.65 on it. The ICQ was significantly associated with the SF-36 and treadmill-walking distances whereas no association was found for resting ABPI. Conclusions: The German version of the ICQ demonstrated good feasibility, satisfactory reliability and good validity. Responsiveness should be investigated in further validation studies.

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