Abstract:The study investigated the application of crime analysis at various police stations within the Tarkwa-Nsuaem Municipality in the Western Region of Ghana with the objective of understanding crime, crime analysis, crime control and crime information management and their implications on conventional policing strategies. Qualitative and quantitative research adopting the questionnaire and interview were conducted with crime analysts and specialized investigators/intelligence analysts through descriptive and explor… Show more
“…According to the Chi-square test results, mothers' marital status, age, education, religious affiliation, and distance have a significant relationship with mothers' use of maternal health care services during delivery in the North East Region. According to the literature, sociodemographic characteristics and behavioural variables have a significant influence on healthcare facility utilisation [4,5,9,40].…”
Introduction
Most new-born babies are born at home in rural communities which is not new phenomenon due to lack of access to primary healthcare services and trained skilled health attendants, exposing mothers and children to a high risk of labour complications. The purpose of this study was to better understand factors influence rural women's access to primary health care and skilled delivery services as well as their reasons for using or not using maternal health care and skilled delivery services.
Methods
The study employed a social survey design with a quantitative approach to data analysis. Cluster Sampling was used, possibly based on rural communities, to efficiently collect data from different geographic locations. Simple random sampling individuals from each cluster ensures that all eligible individuals have an equal chance of being included in the study. This enhances the representativity of the sample. A total of 366 mothers were selected from four rural communities in the North East Region of Ghana. The choice of sample size considered factors like the study's objectives, available resources, and the desired level of statistical power. Data was primarily gathered through the administration of a questionnaire to the respondents. Factors considered for achieving representativity include, geographic representation, accessibility, healthcare infrastructure and healthcare professionals’ attitudes.
Findings
The study found that distance to health centres limits women's access to skilled delivery services. Lack of primary health facilities in the rural communities hamper maternal and child care services delivery. The attitude of health care professionals determines a mother’s utilisation of maternal health care and skilled delivery services.
Conclusion
The study contributes to the limited research on maternal health services and their impact on mother and child health in the study area. This study is one of the first to investigate into maternal health care as a key predictor of mother and child health in the study area. The study's theoretical lens was the Andersen and Newman Health Behavioural Model theory, which supports the explanation of distance, lack of primary health centres, attitudes and lack of skilled personnel to the non-utilisation of maternal and health services in rural communities. The study recommended that primary healthcare facilities and trained health professionals should be a priority of government in rural communities to promote maternal and child healthcare.
“…According to the Chi-square test results, mothers' marital status, age, education, religious affiliation, and distance have a significant relationship with mothers' use of maternal health care services during delivery in the North East Region. According to the literature, sociodemographic characteristics and behavioural variables have a significant influence on healthcare facility utilisation [4,5,9,40].…”
Introduction
Most new-born babies are born at home in rural communities which is not new phenomenon due to lack of access to primary healthcare services and trained skilled health attendants, exposing mothers and children to a high risk of labour complications. The purpose of this study was to better understand factors influence rural women's access to primary health care and skilled delivery services as well as their reasons for using or not using maternal health care and skilled delivery services.
Methods
The study employed a social survey design with a quantitative approach to data analysis. Cluster Sampling was used, possibly based on rural communities, to efficiently collect data from different geographic locations. Simple random sampling individuals from each cluster ensures that all eligible individuals have an equal chance of being included in the study. This enhances the representativity of the sample. A total of 366 mothers were selected from four rural communities in the North East Region of Ghana. The choice of sample size considered factors like the study's objectives, available resources, and the desired level of statistical power. Data was primarily gathered through the administration of a questionnaire to the respondents. Factors considered for achieving representativity include, geographic representation, accessibility, healthcare infrastructure and healthcare professionals’ attitudes.
Findings
The study found that distance to health centres limits women's access to skilled delivery services. Lack of primary health facilities in the rural communities hamper maternal and child care services delivery. The attitude of health care professionals determines a mother’s utilisation of maternal health care and skilled delivery services.
Conclusion
The study contributes to the limited research on maternal health services and their impact on mother and child health in the study area. This study is one of the first to investigate into maternal health care as a key predictor of mother and child health in the study area. The study's theoretical lens was the Andersen and Newman Health Behavioural Model theory, which supports the explanation of distance, lack of primary health centres, attitudes and lack of skilled personnel to the non-utilisation of maternal and health services in rural communities. The study recommended that primary healthcare facilities and trained health professionals should be a priority of government in rural communities to promote maternal and child healthcare.
“…e reactive approach of the conventional policing system begins investigations following the occurrence of robbery, snatching, and assault incidents [1]. Reactive e orts, on the other hand, are insu cient to prevent violent events [2]. Technology has evolved into a critical component of public and national security in the modern era [3].…”
Weapons, usually a handgun, a revolver, or a pistol, are used in the majority of criminal acts. The traditional closed-circuit television (CCTV) surveillance and control system requires human intervention to detect such crime incidents. The purpose of this research is to develop a real-time automatic weapon carrier detection system that may be used with CCTV cameras and surveillance systems. The goal is to alarm and alert the security officials to take proactive action to prevent violent activities. In deep learning literature, region-based classifiers (R-FCN and Faster R-CNN) and regression-based detectors (Yolo invariant) are being used as promising object detection methods. Although region-based classifiers are accurate, they lack the speed of detection required for real-time detection, whereas regression-based detectors (for example, YoloV4 invariant) are fast enough for real-time detection, but lack accuracy. The method applied in this study relies on Yolov4 to quickly detect anomalies, followed by R-FCN to boost detection accuracy by filtering out any false positives. A weapon dataset comprising 4430 locally and internationally available weapon photos with a 70–30 split ratio is used to train and test the system, which is subsequently evaluated using a live surveillance camera system. This hybrid system achieved a 90% accuracy with a low false positive rate, as well as 94% precision, 86% recall, and 89% F1 score. Our results prove that the proposed hybrid system is useful for proactive real-time surveillance to alarm the existence of a suspicious weapon carrier in a surveillance area.
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