scholarly journals Biomolecules and Electrochemical Tools in Chronic Non-Communicable Disease Surveillance: A Systematic Review

Biosensors ◽  
2020 ◽  
Vol 10 (9) ◽  
pp. 121
Author(s):  
Ana Lúcia Morais ◽  
Patrícia Rijo ◽  
María Belén Batanero Hernán ◽  
Marisa Nicolai
Keyword(s):  
Disease Surveillance ◽  
Molecular Detection ◽  
Communicable Disease ◽  
Biological Fluids ◽  
Electrochemical Techniques ◽  
Disease Diagnosis ◽  
Electrochemical Analysis ◽  
Detection Techniques ◽  
Biological Identification ◽  
Non Communicable Disease

Over recent three decades, the electrochemical techniques have become widely used in biological identification and detection, because it presents optimum features for efficient and sensitive molecular detection of organic compounds, being able to trace quantities with a minimum of reagents and sample manipulation. Given these special features, electrochemical techniques are regularly exploited in disease diagnosis and monitoring. Specifically, amperometric electrochemical analysis has proven to be quite suitable for the detection of physiological biomarkers in monitoring health conditions, as well as toward the control of reactive oxygen species released in the course of oxidative burst during inflammatory events. Besides, electrochemical detection techniques involve a simple and swift assessment that provides a low detection-limit for most of the molecules enclosed biological fluids and related to non-transmittable morbidities.

DETERMINANTS OF LEISURE-TIME PHYSICAL ACTIVITY: EVIDENCE FROM MALAYSIA

2014 ◽  
Vol 59 (02) ◽  
pp. 1450017 ◽  
Author(s):  
YONG KANG CHEAH ◽  
ANDREW K. G. TAN
Keyword(s):  
Physical Activity ◽  
Disease Surveillance ◽  
Leisure Time ◽  
Leisure Time Physical Activity ◽  
Communicable Disease ◽  
Smoking Status ◽  
Sample Selection ◽  
Health Lifestyle ◽  
Non Communicable Disease ◽  
Heckman’S Sample Selection Model

This paper examines how socio-demographic and health-lifestyle factors determine participation and duration of leisure-time physical activity in Malaysia. Based on the Malaysia Non-Communicable Disease Surveillance-1 data, Heckman's sample selection model is employed to estimate the probability to participate and duration on physical activity. Results indicate that gender, age, years of education and family illness history are significant in explaining participation probability in leisure-time physical activity. Gender, income level, smoking-status and years of education are significant in explaining the weekly duration conditional on participation, whereas smoking-status and years of education are significant in determining the unconditional level of leisure-time physical activity.

scholarly journals Large Scale Mobile Medical Service Programme: Data Insights for strengthening local surveillance

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Vishal Dogra ◽  
Shailendra Hegde ◽  
Nitin Rathnam ◽  
Sridhar Emmadi ◽  
Vishal Phanse
Keyword(s):  
Primary Care ◽  
Disease Surveillance ◽  
Andhra Pradesh ◽  
Medical Service ◽  
Communicable Disease ◽  
Disease Diagnosis ◽  
Local Health ◽  
Health Events ◽  
Health Authorities ◽  
The Village

ObjectiveWe report the findings of Andhra Pradesh state’s mobile medical service programme and how It is currently used to strengthen the disease surveillance mechanisms at the village level.IntroductionIndia has an Integrated Disease Surveillance project that reports key communicable and infectious diseases at the district and sub-district level. However, recent reviews suggest structural and functional deficiencies resulting in poor data quality (1). Hence evidence-based actions are often delayed. Piramal Swasthya in collaboration with Government of Andhra Pradesh launched a mobile medical unit (MMU) programme in 2016. This Mobile medical service delivers primary care services to rural population besides reporting and alerting unusual health events to district and state health authorities for timely and appropriate action.The MMU service in the Indian state of Andhra Pradesh is one of the oldest and largest public-private initiatives in India. Two hundred and ninety-two MMUs provide fixed-day services to nearly 20,000 patients a day across 14,000 villages in rural Andhra Pradesh. Every day an MMU equipped with medical ( a doctor) and non-medical (1 nurse, 1 registration officer, 1 driver, 1 pharmacist, 1 lab technician, 1 driver) staff visit 2 service points (villages) as per prefixed route map. Each MMU also has its own mobile tablet operated by registration officer for capturing patient details. The core services delivered through MMUs are the diagnosis, treatment, counseling, and free drug distribution to the beneficiaries suffering from common ailments ranging from seasonal diseases to acute communicable and common chronic non-communicable diseases. The routinely collected patient data is daily synchronized on a centrally managed data servers.MethodsFor this analysis, we used aggregated and pooled data that were routinely collected from August 2016-March 2018. Patient details such as socio-demographic variables (age, sex etc.) medical history and key vitals (random blood sugar, blood pressure, pulse rate etc.) and disease diagnosis variables were analyzed. Besides, communication and action taken reports shared with Government of Andhra Pradesh were also analyzed. We report the findings of the programme with reference to strengthing the village level communicable disease surveillance. Unusual health events were defined as more than 3 patients reporting the epidemiologically linked and similar conditions clustered in the same village.ResultsWe observed 4,352,859 unique beneficiaries registrations and 9,122,349 patient visits. Of all unique beneficiaries, 79.3% had complete diagnosis details (53% non-communicable disease, 39% communicable and 8% others conditions). A total of 7 unusual health events related to specific and suspected conditions (3 vector-borne diseases related, 4 diarrhea-related) were reported to district health authorities, of which 3 were confirmed outbreaks (1 dengue, 1 malaria, and 1 typhoid) as investigated by local health authorities.ConclusionsMobile medical services are useful to detect unusual health events in areas with limited resources. It increases accountability and response from the Government authorities if the timely information is shared with competent health authorities. Careful evaluation of the mobile health interventions is needed before scaling-up such services in other remote rural areas.References1. Kumar A, Goel MK, Jain RB, Khanna P. Tracking the Implementation to identify gaps in Integrated Disease Surveillance Program in a Block of District Jhajjar (Haryana). Journal of Family Medicine and Primary Care. 2014;3(3):213-215.2. Raut D, Bhola A. Integrated disease surveillance in India: Way forward. Global Journal of Medicine and Public Health.2014;3(4):1-10

scholarly journals Nanomaterials-Based Electrochemical Sensors for In Vitro and In Vivo Analyses of Neurotransmitters

2018 ◽  
Vol 8 (9) ◽  
pp. 1504 ◽  
Author(s):  
Sharmila Durairaj ◽  
Boopathi Sidhureddy ◽  
Joseph Cirone ◽  
Aicheng Chen
Keyword(s):  
Electrochemical Sensors ◽  
Point Of Care ◽  
Electrochemical Techniques ◽  
High Sensitivity ◽  
Electrochemical Analysis ◽  
Detection Techniques ◽  
Efficient Detection ◽  
Sensitivity And Selectivity

Neurotransmitters are molecules that transfer chemical signals between neurons to convey messages for any action conducted by the nervous system. All neurotransmitters are medically important; the detection and analysis of these molecules play vital roles in the diagnosis and treatment of diseases. Among analytical strategies, electrochemical techniques have been identified as simple, inexpensive, and less time-consuming processes. Electrochemical analysis is based on the redox behaviors of neurotransmitters, as well as their metabolites. A variety of electrochemical techniques are available for the detection of biomolecules. However, the development of a sensing platform with high sensitivity and selectivity is challenging, and it has been found to be a bottleneck step in the analysis of neurotransmitters. Nanomaterials-based sensor platforms are fascinating for researchers because of their ability to perform the electrochemical analysis of neurotransmitters due to their improved detection efficacy, and they have been widely reported on for their sensitive detection of epinephrine, dopamine, serotonin, glutamate, acetylcholine, nitric oxide, and purines. The advancement of electroanalytical technologies and the innovation of functional nanomaterials have been assisting greatly in in vivo and in vitro analyses of neurotransmitters, especially for point-of-care clinical applications. In this review, firstly, we focus on the most commonly employed electrochemical analysis techniques, in conjunction with their working principles and abilities for the detection of neurotransmitters. Subsequently, we concentrate on the fabrication and development of nanomaterials-based electrochemical sensors and their advantages over other detection techniques. Finally, we address the challenges and the future outlook in the development of electrochemical sensors for the efficient detection of neurotransmitters.

scholarly journals A model for point of care testing for non-communicable disease diagnosis in resource-limited countries

2019 ◽  
Vol 4 ◽  
Author(s):  
Stuart Malcolm ◽  
Joane Cadet ◽  
Lindsay Crompton ◽  
Vincent DeGennaro
Keyword(s):  
Data Collection ◽  
Low Income ◽  
Communicable Disease ◽  
Point Of Care ◽  
Disease Diagnosis ◽  
Health Study ◽  
Point Of Care Testing ◽  
Physical Measurements ◽  
Geographical Regions ◽  
Non Communicable Disease

Abstract Non-communicable disease diagnosis frequently relies on biochemical measurements but laboratory infrastructure in low-income settings is often insufficient and distances to clinics may be vast. We present a model for point of care (POC) epidemiology as used in our study of chronic disease in the Haiti Health Study, in rural and urban Haiti. Point of care testing (POCT) of creatinine, cholesterol, and hemoglobin A1c as well as physical measurements of weight, height, and waist circumference allowed for diagnosis of diabetes, chronic kidney disease, dyslipidemias, and obesity. Methods and troubleshooting techniques for the data collection of this study are presented. We discuss our method of community-health worker (CHW) training, community engagement, study design, and field data collection. We also discuss the machines used and our quality control across CHWs and across geographical regions. Pitfalls tended to include equipment malfunction, transportation issues, and cultural differences. May this paper provide information for those attempting to perform similar diagnostic and screening studies using POCT in resource poor settings.

scholarly journals Non-communicable Disease Surveillance in Malaysia: An Overview of Existing Systems and Priorities Going Forward

2021 ◽  
Vol 9 ◽  
Author(s):  
Arunah Chandran ◽  
Shurendar Selva Kumar ◽  
Noran Naqiah Hairi ◽  
Wah Yun Low ◽  
Feisul Idzwan Mustapha
Keyword(s):  
Health System ◽  
Disease Surveillance ◽  
Communicable Disease ◽  
Health Indicators ◽  
System Capacity ◽  
World Health ◽  
Multiple Sources ◽  
Monitoring Framework ◽  
Health Organization ◽  
Non Communicable Disease

In 2012, the World Health Organization (WHO) set a comprehensive set of nine global voluntary targets, including the landmark “25 by 25” mortality reduction target, and 25 indicators. WHO has also highlighted the importance of Non-Communicable Disease (NCD) surveillance as a key action by Member States in addressing NCDs. This study aimed to examine the current national NCD surveillance tools, activities and performance in Malaysia based on the WHO Global Monitoring Framework for NCDs and to highlight gaps and priorities moving forward. A desk review was conducted from August to October in 2020, to examine the current national NCD surveillance activities in Malaysia from multiple sources. Policy and program documents relating to NCD surveillance in Malaysia from 2010 to 2020 were identified and analyzed. The findings of this review are presented according to the three major themes of the Global Monitoring Framework: monitoring of exposure/risk factor, monitoring of outcomes and health system capacity/response. Currently, there is a robust monitoring system for NCD Surveillance in Malaysia for indicators that are monitored by the WHO NCD Global Monitoring Framework, particularly for outcome and exposure monitoring. However, Malaysia still lacks data for the surveillance of the health system indicators of the framework. Although Malaysia has an NCD surveillance in place that is adequate for the WHO NCD Global Monitoring Framework, there are areas that require strengthening. The country must also look beyond these set of indicators in view of the increasing burden and impact of the COVID-19 pandemic. This includes incorporating mental health indicators and leveraging on alternate sources of data relating to behaviors.

scholarly journals Advances in spatiotemporal models for non-communicable disease surveillance

2020 ◽  
Vol 49 (Supplement_1) ◽  
pp. i26-i37
Author(s):  
Marta Blangiardo ◽  
Areti Boulieri ◽  
Peter Diggle ◽  
Frédéric B Piel ◽  
Gavin Shaddick ◽  
...  
Keyword(s):  
Disease Surveillance ◽  
Communicable Disease ◽  
Surveillance Systems ◽  
Complex Data ◽  
Bayesian Hierarchical ◽  
Complex Models ◽  
Intervention Policy ◽  
Spatiotemporal Models ◽  
Modelling Process ◽  
Non Communicable Disease

Abstract Surveillance systems are commonly used to provide early warning detection or to assess an impact of an intervention/policy. Traditionally, the methodological and conceptual frameworks for surveillance have been designed for infectious diseases, but the rising burden of non-communicable diseases (NCDs) worldwide suggests a pressing need for surveillance strategies to detect unusual patterns in the data and to help unveil important risk factors in this setting. Surveillance methods need to be able to detect meaningful departures from expectation and exploit dependencies within such data to produce unbiased estimates of risk as well as future forecasts. This has led to the increasing development of a range of space-time methods specifically designed for NCD surveillance. We present an overview of recent advances in spatiotemporal disease surveillance for NCDs, using hierarchically specified models. This provides a coherent framework for modelling complex data structures, dealing with data sparsity, exploiting dependencies between data sources and propagating the inherent uncertainties present in both the data and the modelling process. We then focus on three commonly used models within the Bayesian Hierarchical Model (BHM) framework and, through a simulation study, we compare their performance. We also discuss some challenges faced by researchers when dealing with NCD surveillance, including how to account for false detection and the modifiable areal unit problem. Finally, we consider how to use and interpret the complex models, how model selection may vary depending on the intended user group and how best to communicate results to stakeholders and the general public.

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