Assessing Risk Factors for Short Birth Interval Hot Spots using Geographically Weighted Regression: Findings from a Nationally Representative Survey Data

2021 ◽  
Author(s):  
Mohammad Zahidul Islam ◽  
Md. Mostafizur Rahman ◽  
Md. Nuruzzaman Khan ◽  
M Mofizul Islam
Keyword(s):  
Spatial Variation ◽  
Birth Interval ◽  
Hot Spots ◽  
Protective Factor ◽  
Public Health Problem ◽  
Least Square ◽  
Weighted Regression ◽  
Geographic Variations ◽  
Explanatory Variables ◽  
Short Birth Interval

Abstract Background Short Birth Interval (SBI) is a public health problem in most low- and lower-middle-income countries. Understanding geographic variations in SBI, particularly SBI hot spots and associated factors, may help intervene with tailored programs. This study identified the geographical hot spots of SBI in Bangladesh and the factors associated with them. `Methods We analyzed women’s data extracted from the 2017/18 Bangladesh Demographic and Health Survey and the healthcare facility data extracted from the 2017 Service Provision Assessment. Moran’s I was used to examine the spatial variation of SBI in Bangladesh whereas the Getis-Ord G*i (d) was used to determine the hot spots of SBI. The Geographical Weighted Regression (GWR) was used to explore the spatial variation of SBI on explanatory variables. The explanatory variables included in the GWR were selected using the exploratory regression and ordinary least square regression model. Results Data of 5941 women were included in the analyses. Around 26% of the total births in Bangladesh had occurred in short intervals. A majority of the SBI hot spots were found in the Sylhet division, and almost all SBI cold spots were in the Rajshahi and Khulna divisions. No engagement with formal income-generating activities, high maternal parity, and history of experiencing the death of a child were significantly associated with SBI in the Sylhet region. Women’s age of 34 years or less at the first birth was a protective factor of SBI in the Rajshahi and Khulna divisions. Conclusion The prevalence of SBI in Bangladesh is highly clustered in the Sylhet division. We recommend introducing tailored reproductive health care services in the hot spots instead of the existing uniform approach across the country.

scholarly journals Prevalence of Malnutrition and Associated Factors among Children in Rural Ethiopia

2017 ◽  
Vol 2017 ◽  
pp. 1-6 ◽  
Author(s):  
Neima Endris ◽  
Henok Asefa ◽  
Lamessa Dube
Keyword(s):  
Nutritional Status ◽  
Birth Interval ◽  
Composite Index ◽  
Public Health Problem ◽  
Rural Children ◽  
Wealth Status ◽  
Factors Associated ◽  
Rural Ethiopia ◽  
Short Birth Interval ◽  
Nutritional Status Of Children

Background. Child malnutrition continues to be the leading public health problem in developing countries. In Ethiopia, malnutrition is a leading cause of child illness and death. Recently the composite index of anthropometric failure (CIAF) has been implemented to measure the prevalence of malnutrition. This index presents a more complete picture compared with the previous conventional indices. In this study, CIAF was used to determine the prevalence of malnutrition among children aged 0–59 months in rural Ethiopia. Methods. Data was extracted from the 2014 Ethiopian Mini Demographic and Health Survey (EMDHS) for this study. A total of 3095 children were included in the analysis. The composite index of anthropometric failure (CIAF) was used to measure the nutritional status of the children. Logistic regression was fitted, to identify factors associated with malnutrition among children in rural Ethiopia, using STATA 13. Result. The prevalence of malnutrition among rural children in Ethiopia was 48.5%. Age of the children, preceding birth interval, educated status of mother, wealth status, and region were factors independently associated with nutritional status of children in rural Ethiopia. Conclusion. The prevalence of malnutrition among children in rural Ethiopia was high. A child older than 12 months, having uneducated mother, living in a household with poor wealth status, born with short birth interval, and living in some region of the country are associated with increased odds of being malnourished.

scholarly journals Spatial Patterns of Tuberculosis and Diabetes Mellitus in Los Angeles County, California

2019 ◽  
Author(s):  
Monica Rosales ◽  
Edward Lan ◽  
Ramon E. Guevara ◽  
Josephine L. Yumul ◽  
Douglas M. Morales ◽  
...  
Keyword(s):  
Public Health ◽  
Diabetes Mellitus ◽  
Los Angeles ◽  
Hot Spots ◽  
Los Angeles County ◽  
Hot Spot ◽  
Public Health Problem ◽  
Geographic Variations ◽  
South Central ◽  
Gis Methods

Abstract Background Tuberculosis remains a public health problem that disproportionately affects vulnerable populations. The objective of the study was to apply Geographic Information Systems (GIS) methods to identify statistically significant hot spots of tuberculosis (TB) and diabetes mellitus (DM) and identify areas and populations that are disproportionately burdened by TB and DM.Methods Verified cases of TB reported in Los Angeles County (LAC), California between 01/01/2015 and 06/30/2017 were identified from the LAC TB Control Program Surveillance Registry. The addresses for patients residing in LAC at the time of TB diagnosis were geocoded and mapped. Hot spot analyses were performed utilizing the Getis-Ord Gi* statistic to identify statistically significant hot spots of TB and DM.Results Among 389 TB cases with DM, 43% were Hispanic and 50% were Asian. Geographic variations for Hispanic and Asian TB cases were found (p<0.05). Hot spots of TB and DM were identified among Asians residing in the southwestern and southern regions of LAC and among Hispanics residing in south central and northwestern LAC.Conclusions GIS methods are important epidemiological tools for identifying and assessing geographic variations in disease morbidity. These findings highlight opportunities for public health interventions aimed at reducing health disparities in underserved communities.

scholarly journals Determinants of short birth interval among women in South Gondar, Ethiopia: community-based unmatched case-control study

2021 ◽  
Vol 79 (1) ◽  
Author(s):  
Gedefaye Nibret Mihretie ◽  
Fentahun Yenealem Beyene ◽  
Bekalu Getnet Kassa ◽  
Alemu Degu Ayele ◽  
Tewachew Muche Liyeh ◽  
...  
Keyword(s):  
Antenatal Care ◽  
Birth Interval ◽  
Case Control Study ◽  
Birth Spacing ◽  
Case Control ◽  
Community Based ◽  
Short Birth Interval ◽  
South Gondar ◽  
Control Study

Abstract Background The effect of short birth interval on socio-economic, negative maternal and child health outcomes remains common in developing countries. This study aimed to assess determinants of short birth interval among reproductive age women, who gave birth in health institution for last six-month in South Gondar, Ethiopia 2019. Methods Community-based unmatched case control study design was conducted from February 1 to March 30, 2019. Sample size of 150 was included by simple random sampling technique. The data was collected by semi-structured and pre-tested face to face interviewer-administered questionnaire from selected respondent. The collected data was entered with Epi-Data version 3.1 and analyzed by using SPSS version 23 software. Bivariate and multivariable analyses were used to examine the association. Odds ratio, 95% CI and P-value < 0.05 were used to determine the statistical association. Result The mean age of the respondents was 32.42 (SD ± 5.14) and 35.12 (SD ± 5.86) for cases and controls, respectively. Mothers not used contraceptives (AOR = 6.29, 95% CI (1.95, 20.24)), participants who had ≤2 alive children (AOR = 5.57, 95% CI (1.47, 21.13)), mothers who breast fed less than 24 months (AOR = 3.42, 95% CI (1.38, 8.46)), husband decision on contraceptives utilization (AOR = 2.69,95% CI (1.05,6.88)) and mothers who did not have history of antenatal care follow up (AOR = 3.52, 95% CI (1.27, 9.75)) were associated with short birth interval. Conclusion The optimum birth spacing plays a vital role in decreasing fertility and the morbidity and mortality of mothers and children. Thus, providing health information on the benefit of breast feeding, follow-up of antenatal care during pregnancy, use of contraceptives after delivery and encouraging mothers to make decisions about their own health and use of contraceptives to optimize birth spacing for rural communities.

scholarly journals Exploring spatial variation in BCG vaccination among children 0–35 months in Ethiopia: spatial analysis of Ethiopian Demographic and Health Survey 2016

BMJ Open ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. e043565
Author(s):  
Chilot Desta Agegnehu ◽  
Adugnaw Zeleke Alem
Keyword(s):  
Spatial Variation ◽  
Health Survey ◽  
Addis Ababa ◽  
Public Health Problem ◽  
Demographic And Health Survey ◽  
Scan Statistics ◽  
Major Public Health Problem ◽  
Hotspot Analysis ◽  
Bcg Vaccination ◽  
South West

ObjectiveTuberculosis is a major public health problem and is the second leading cause of death worldwide. BCG vaccination is a life-saving and important part of standard tuberculosis control measures, particularly in Ethiopia where tuberculosis is endemic. The End Tuberculosis Strategy targets of 2020 have not been achieved. Exploring spatial variations in BCG vaccination among children is vital to designing and monitoring effective intervention programmes. Therefore, this study aimed to explore the spatial variation in BCG vaccination among children in Ethiopia.DesignCross-sectional study design.SettingEthiopia.ParticipantsChildren aged 0–35 months.Primary outcomeBCG vaccination coverage.MethodsData from the 2016 Ethiopian Demographic and Health Survey were used and a total of 4453 children aged 0–35 months were included. Spatial autocorrelation analysis, cluster and outlier analysis, hotspot analysis, spatial interpolation, and spatial scan statistics were carried out to identify geographical risk areas for BCG vaccine utilisation. ArcGIS V.10.6 and SaTScan V.9.6 statistical software were employed to explore spatial pattern and significant hotspot areas for BCG vaccination among children.ResultsBCG vaccination was spatially clustered in Ethiopia at the regional level (Global Moran’s I=0.516, p<0.001). A total of 51 most likely clusters of low BCG vaccination were identified in the Somali and Afar regions (log-likelihood ratio=136.58, p<0.001). Significant secondary clusters were also identified in North West Gambela, South Amhara, South West Addis Ababa, North East Southern Nations, Nationalities, and People’s Region, and South West Oromia.ConclusionA low probability of receiving BCG vaccination was found among children in the Somali and Afar regions. Therefore, these areas should be given attention when designing effective immunisation strategies to improve BCG vaccination among children in order to reduce the burden of tuberculosis in Ethiopia.

Sociodemographic determinants of disability in patients with schizophrenia (Bulgaria, 2018-2019)

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
I Veleva ◽  
S Yankulovska ◽  
K Velikova ◽  
M Valkova ◽  
G Grancharova
Keyword(s):  
Social Functioning ◽  
Protective Factor ◽  
Paranoid Schizophrenia ◽  
Disease Onset ◽  
Public Health Problem ◽  
Sociodemographic Factors ◽  
University Hospital ◽  
Psychiatric Clinic ◽  
Sociodemographic Determinants ◽  
The Impact

Abstract Background Schizophrenia is an increasing public health problem. Despite its low prevalence and mortality, it causes significant disability and has enormous health, social, and economic burden for patients, families, society and health systems worldwide. The aim was to assess the impact of some sociodemographic determinants on disability in patients with paranoid schizophrenia (PS). Methods The study includes 108 patients in Psychiatric Clinic at Pleven University Hospital: 66 males and 42 females, mean age 38.9±10.0, duration of disease 12.8±8.2 years; mean onset of disease - 24 years (Me = 25 and Mo = 22). The study was approved by Ethical Committee. The disease burden was assessed by Positive and Negative Syndrome Scale (РANSS), and level of disability - by 36-item WHO Disability Assessment Schedule 2.0. Four variables (gender, age, education, type of employment) were chosen and their impact on disability was assessed by one-way ANOVA (F-test), Tukey's NDS test, two-sided t-test, Pierson r. Data processing was performed by IBM SPSS v.24. Results The most severe deficits were observed in “getting along with people” (61.34±25.77),”life-activities-household” (55.74±23.45), “participation in society” (53.13±19.12), “understanding and communicating” (41.67±17.67). Age at disease onset and its duration showed weak positive correlation. In most domains, males had higher deficits (р=0.0001). Age had an impact only on “getting around” (r = 0.41;p=0.0001) and “self-care” (r = 0.260;p=0.007). Significant differences (F (2,104)=7.565, p &lt; 0.01) were found between groups by education level and occupation (employed/students, unemployed and disabled) - F (3,103)=16.734; p&lt;0.001. Conclusions Sociodemographic factors play a major role for different function domains deficits in PS patients. Most pronounced is the impact of education and occupation. Patients with higher education and those engaged in study or work demonstrate better social functioning than less educated and disabled people. Key messages Education is an important protective factor for disability. Lower educational level decreases competitiveness in workforce market, both in general population and in patients with schizophrenia. Sociodemographic determinants should be considered in planning appropriate preventive and rehabilitation activities to stimulate better social functioning and adaptation of PS patients.

scholarly journals Estimating a global demand model for soybean traffic through the Panama Canal

2021 ◽  
Vol 6 (1) ◽  
Author(s):  
Javier Ho ◽  
Paul Bernal
Keyword(s):  
Pacific Northwest ◽  
Least Square ◽  
Panama Canal ◽  
Demand Model ◽  
Department Of Agriculture ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Global Demand ◽  
Alternative Routes ◽  
The U.S

AbstractThis study attempts to fit a global demand model for soybean traffic through the Panama Canal using Ordinary Least Square. Most of the soybean cargo through the interoceanic waterway is loaded on the U.S. Gulf and East Coast ports -mainly destined to East Asia, especially China-, and represented about 34% of total Panama Canal grain traffic between fiscal years 2010–19. To estimate the global demand model for soybean traffic, we are considering explanatory variables such as effective toll rates through the Panama Canal, U.S. Gulf- Asia and U.S. Pacific Northwest- Asia freight rates, Baltic Dry Index, bunker costs, soybean export inspections from the U.S. Gulf and Pacific Northwest, U.S. Gulf soybean basis levels, Brazil’s soybean exports and average U.S. dollar index. As part of the research, we are pursuing the estimation of the toll rate elasticity of vessels transporting soybeans via the Panama Canal. Data come mostly from several U.S. Department of Agriculture sources, Brazil’s Secretariat of Foreign Trade (SECEX) and from Panama Canal transit information. Finally, after estimation of the global demand model for soybean traffic, we will discuss the implications for future soybean traffic through the waterway, evaluating alternative routes and sources for this trade.

Second-hand housing batch evaluation model of zhengzhou city based on big data and MGWR model

2021 ◽  
pp. 1-20
Author(s):  
Chaojie Liu ◽  
Jie Lu ◽  
Wenjing Fu ◽  
Zhuoyi Zhou
Keyword(s):  
Real Estate ◽  
Geographically Weighted Regression ◽  
Euclidean Distance ◽  
Evaluation Model ◽  
Housing Prices ◽  
Information Criterion ◽  
Access Point ◽  
Least Square ◽  
Weighted Regression ◽  
Spatial Error

How to better evaluate the value of urban real estate is a major issue in the reform of real estate tax system. So the establishment of an accurate and efficient housing batch evaluation model is crucial in evaluating the value of housing. In this paper the second-hand housing transaction data of Zhengzhou City from 2010 to 2019 was used to model housing prices and explanatory variables by using models of Ordinary Least Square (OLS), Spatial Error Model (SEM), Geographically Weighted Regression (GWR), Geographically and Temporally Weighted Regression (GTWR), and Multiscale Geographically Weighted Regression (MGWR). And a correction method of Barrier Line and Access Point (BLAAP) was constructed, and compared with three correction methods previously studied: Buffer Area (BA), Euclidean Distance (ED), and Non-Euclidean Distance, Travel Distance (ND, TT). The results showed: The fitting degree of GWR, MGWR and GTWR by BLAAP was 0.03–0.07 higher than by ND. The fitting degree of MGWR was the highest (0.883) by BLAAP but the smallest by Akaike Information Criterion (AIC), and 88.3% of second-hand housing data could be well interpreted by the model.

The role of VEGF rs699947 polymorphism in End-Stage Renal Disease: A preliminary study

2021 ◽  
pp. 19-23
Keyword(s):  
Renal Disease ◽  
End Stage Renal Disease ◽  
Protective Factor ◽  
Public Health Problem ◽  
Turkish Population ◽  
Control Group ◽  
Case Group ◽  
Important Public Health Problem ◽  
Stage Renal Disease ◽  
End Stage

Aim: End-Stage Renal Disease (ESRD) is an important public health problem worldwide with an increasing incidence and prevalence. There are many environmental and genetic factors which contribute to the development of ESRD. Vascular endothelial growth factor (VEGF) has been suggested to play an important role in renal pathophysiology. The aim of this study was to determine the probable relation between ESRD and VEGF gene rs699947 polymorphism in Turkish population. Material and Method: Genotyping of rs699947 was carried out in 50 ESRD patients on dialysis treatment and 30 healthy controls, using a Kompetitive Allelic-Specific PCR (KASP) method following DNA isolation. Demographic and clinical characteristics of the patients were recorded. Results: The prevalance of rs699947 AA genotype was found to be higher in the control group, but it was not statistically significant (p>0.05) . Conclusion: Although statistically insignificant, the frequency of AA genotype was higher in the control group compared to the case group, therefore we concluded that AA genotype may be a protective factor for ESRD in Turkish population. However, this conclusion needs to be further verified by future studies performed in larger study groups.

scholarly journals The Factors Affecting Land Prices In Housing Location In Sidoarjo Regency

2017 ◽  
Vol 1 (1) ◽  
pp. 37-47
Author(s):  
Partomi Simangunsong ◽  
Arasy Alimudin ◽  
Muh. Barid Nizaruddin Wajdi
Keyword(s):  
Residential Location ◽  
Least Square ◽  
City Center ◽  
Sale Price ◽  
Factors Affecting ◽  
Explanatory Variables ◽  
Ordinary Least Square ◽  
Road Width ◽  
Log Linear ◽  
Road Distance

The need for residential location is one of the basic needs of the community and the attractiveness of the residential location is a unique feature where this feature is not made by the respective occupants, but by external factors from the residential environment in the area. This study aims to analyze the factors that are considered as the basis that affect the price of land. This research uses quantitative approach with associative research method. Linear analysis with quadratic method. Ordinary Least Square (OLS). From the analysis of this research model obtained log-linear F-accounting 70,162 while the value of F-table (0,05; 5,48) is 2,45. because F-count> F-table, Ho means rejected and explanatory variables include Distance to city center, Distance to main road, Distance to toll gate, Road width, and security simultaneously can be explained significantly at land sale price.

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