Relevant bibliographies by topics / Community-based surveillance system

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Academic literature on the topic 'Community-based surveillance system'

Author: Grafiati
Published: 29 June 2021
Last updated: 17 February 2022

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Journal articles on the topic "Community-based surveillance system"

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Rahmasari, Farida Hastuti, Nurjazuli Nurjazuli, and Kusworo Adi. "Community-Based Surveillance Information System for Pulmonary Tuberculosis (Pulmonary TB)." International Journal of English Literature and Social Sciences 5, no. 5 (2020): 1356–64. http://dx.doi.org/10.22161/ijels.55.4.

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Moscardelli, Silvana, Rashmi Joshee, and Amanda Roberts-Douma. "Where Diabetes Surveillance and Community-based Programs Meet: Lessons from the Alberta Diabetes Surveillance System." Canadian Journal of Diabetes 32, no. 4 (January 2008): 362. http://dx.doi.org/10.1016/s1499-2671(08)24249-8.

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Ahmed, Alawia El Amin Mohammed, and Igbal A. Mageed Ahmed. "Nutrition surveillance in the Sudan: a community-based approach." Eastern Mediterranean Health Journal 2, no. 2 (September 1, 2021): 229–35. http://dx.doi.org/10.26719/1996.2.2.229.

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In 1992, a pilot project for collecting information on the socioeconomic and nutritional status of children and their mothers as part of the early warning system was implemented in two villages in Kassala Province, Sudan. The objectives were to test the feasibility of local participation in socioeconomic and nutritional data collection, analysis and utilization;and to incorporate socioeconomic data into the food and nutrition information system, and examine its usefulness in early warning. The pilot project also included the introduction of new parameters such as adult anthropometry, i. e. body mass index of the mothers of the children seen, to monitor the nutritional status of both children and their mothers at the same time. This led to very interesting results which played a major role in determining the type of intervention needed
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Hatamabadi, Hamid Reza, Reza Vafaee, Mashianeh Haddadi, Ali Abdalvand, and Hamid Soori. "Necessity of an Integrated Road Traffic Injuries Surveillance System: A Community-Based Study." Traffic Injury Prevention 12, no. 4 (August 2011): 358–62. http://dx.doi.org/10.1080/15389588.2011.566656.

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Gu, Xinyi, and Chengzhang Qu. "A Study of Community Surveillance System Improvement based on ResNet Person Re-identification." Journal of Physics: Conference Series 1575 (June 2020): 012231. http://dx.doi.org/10.1088/1742-6596/1575/1/012231.

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Chowdhury, Salim Mahmud, Abu Taleb, and Fazlur Rahman. "944 Falls related injuries in Bangladesh: experiences from a community-based surveillance system." Injury Prevention 22, Suppl 2 (September 2016): A336.1—A336. http://dx.doi.org/10.1136/injuryprev-2016-042156.944.

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Klenyuie, W. K. "Evaluation of community-based surveillance system pilot, Ketu South Municipality, Ghana, 2017–2018." International Journal of Infectious Diseases 101 (December 2020): 364. http://dx.doi.org/10.1016/j.ijid.2020.09.955.

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HARCOURT, S. E., J. FLETCHER, P. LOVERIDGE, A. BAINS, R. MORBEY, A. YEATES, B. McCLOSKEY, et al. "Developing a new syndromic surveillance system for the London 2012 Olympic and Paralympic Games." Epidemiology and Infection 140, no. 12 (August 15, 2012): 2152–56. http://dx.doi.org/10.1017/s0950268812001781.

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SUMMARYSyndromic surveillance is vital for monitoring public health during mass gatherings. The London 2012 Olympic and Paralympic Games represents a major challenge to health protection services and community surveillance. In response to this challenge the Health Protection Agency has developed a new syndromic surveillance system that monitors daily general practitioner out-of-hours and unscheduled care attendances. This new national system will fill a gap identified in the existing general practice-based syndromic surveillance systems by providing surveillance capability of general practice activity during evenings/nights, over weekends and public holidays. The system will complement and supplement the existing tele-health phone line, general practitioner and emergency department syndromic surveillance systems. This new national system will contribute to improving public health reassurance, especially to meet the challenges of the London 2012 Olympic and Paralympic Games.
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KIM, SHIN Y., ROGER ROCHAT, ABEL RAJARATNAM, and ANN DIGIROLAMO. "EVALUATING COMPLETENESS OF MATERNAL MORTALITY REPORTING IN A RURAL HEALTH AND SOCIAL AFFAIRS UNIT IN VELLORE, INDIA, 2004." Journal of Biosocial Science 41, no. 2 (March 2009): 195–205. http://dx.doi.org/10.1017/s0021932008003064.

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SummaryHealth systems in developing countries infrequently implement and evaluate maternal death surveillance. This study identified under-reported and misclassified maternal deaths among women of reproductive age between 1999 and 2004 in a rural service unit in Vellore, India. In-depth interviews, semi-structured interviews and structured questionnaires were used to identify maternal deaths known to health care providers and community leaders who regularly come in contact with pregnant women. Eighteen under-reported and misclassified cases – or 50% of maternal deaths – were reported. These included 29% of abortion-related and 7% of domestic violence-related deaths. Based on this study’s fieldwork, the existing death surveillance system detected 100% of the maternal deaths reported by hospital staff; however, it missed most maternal deaths reported by community workers. The latter are more likely than deaths reported by hospital workers to result from abortion and family violence. The existing surveillance system should be augmented with a community-based death surveillance system. This comprehensive approach identified twice as many maternal deaths than previously recorded and could be applied in other settings. Appropriate public health interventions should be initiated to prevent maternal deaths in this community.
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Jalloh, Mohamed F., Paul Sengeh, Nyuma James, Saiku Bah, Mohammad B. Jalloh, Katharine Owen, Samuel Abu Pratt, et al. "Integrated digital system for community engagement and community-based surveillance during the 2014–2016 Ebola outbreak in Sierra Leone: lessons for future health emergencies." BMJ Global Health 5, no. 12 (December 2020): e003936. http://dx.doi.org/10.1136/bmjgh-2020-003936.

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Community engagement and community-based surveillance are essential components of responding to infectious disease outbreaks, but real-time data reporting remains a challenge. In the 2014–2016 Ebola outbreak in Sierra Leone, the Social Mobilisation Action Consortium was formed to scale-up structured, data-driven community engagement. The consortium became operational across all 14 districts and supported an expansive network of 2500 community mobilisers, 6000 faith leaders and 42 partner radio stations. The benefit of a more agile digital reporting system became apparent within few months of implementing paper-based reporting given the need to rapidly use the data to inform the fast-evolving epidemic. In this paper, we aim to document the design, deployment and implementation of a digital reporting system used in six high transmission districts. We highlight lessons learnt from our experience in scaling up the digital reporting system during an unprecedented public health crisis. The lessons learnt from our experience in Sierra Leone have important implications for designing and implementing similar digital reporting systems for community engagement and community-based surveillance during public health emergencies.
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Dissertations / Theses on the topic "Community-based surveillance system"

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Qomariyah, Siti Nurul. "A community-based surveillance system for maternal deaths in Indonesia." Thesis, University of Aberdeen, 2013. http://digitool.abdn.ac.uk:80/webclient/DeliveryManager?pid=192253.

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Background: Since the launch of the Safe Motherhood Initiative in 1987, the global community has called for reductions in maternal mortality in the developing world. However, reliable methods for assessing levels and trends in maternal deaths, particularly at a district level, are lacking. In increasingly-diverse countries like Indonesia, it is essential for national and local decision-makers to have timely figures to inform programmatic efforts. Aims: The aim of this PhD is to develop and pilot a community-based surveillance system (‘Surveillance by Key Informants’/SKI). The objective is a proof of principle of SKI’s reliability and feasibility, and to verify the potential for routine use at a district level in Indonesia. Methods: This PhD is comprised of two methodological studies, both designed and implemented in Serang and Pandeglang Districts of Banten Province, Indonesia, between 2004 and 2008. The Maternal Death from Informant/the Maternal Death Follow on Review (MADE-IN/MADE-FOR) method comprises retrospective, community-based surveillance of maternal deaths, involving two local informant networks. The experience from MADE-IN/MADE-FOR was used to create a prospective surveillance system (SKI), using the same networks but re-designed for routine use by district authorities. Results: MADE-IN/MADE-FOR found a high level both of maternal mortality (435 deaths per 100,000 live births) and of indirect causes (43%). The SKI findings show the considerable potential of this new approach. The two informant networks together captured about 91% of births and 92% of deaths. In general, the local stakeholders accepted SKI as a useful and realistic system for them to continuously capture local vital events. Conclusions: In a country like Indonesia where civil registration is lacking, SKI could be used to capture deaths and births in the immediate term, with MADE-IN/MADE-FOR used as a periodic census of all maternal deaths. Both approaches can provide the basis for more detailed follow-up of deaths, and so ultimately help to inform reductions in maternal mortality.
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Oum, Sophal. "Development, implementation and evaluation of community-based surveillance system in rural Cambodia." Thesis, London School of Hygiene and Tropical Medicine (University of London), 2002. http://researchonline.lshtm.ac.uk/4646504/.

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A community-based surveillance system was developed and implemented in rural areas in Cambodia. The system aimed to provide timely and representative information on major health problems and life events that would permit rapid and effective control of outbreaks and communicable diseases in general in rural communities. In the system, lay people were trained as Village Health Volunteers to report suspected outbreaks, important infectious diseases, and vital events occurring in their communities to local health staff who analysed the data and gave feedback to the volunteers during their monthly meetings. An evaluation conducted one year after implementation of the community-based surveillance system began found that the system was able to detect outbreaks early, regularly monitor communicable disease trends, and to continuously provide updated information on pregnancies, births and deaths in the rural areas. The sensitivity and specificity of case reporting by Village Health Volunteers were found to be quite high. In addition, the community-based surveillance system triggered effective responses from both health staff and Village Health Volunteers in outbreak and disease control and prevention. The results suggest that a community-based surveillance system can successfully fill the gaps of the current health facility-based disease surveillance system in the rapid detection of outbreaks, in the effective monitoring of communicable diseases, and in the notification of vital events in rural Cambodia. Empowered local people and health staff can accurately report, analyse and act upon significant health problems in their community within a surveillance system they develop, own and operate. The community-based surveillance system could easily be integrated with the current disease surveillance system. Its replication or adaptation for use in other rural areas in Cambodia and in other developing countries would be likely feasible and beneficial, as well as cost-effective.
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De, Vriese Shauni Denise. "Moving from Daji towards Noma: Changing the perception of a spiritual towards a treatable disease : A case study of Hilfsaktion Noma e.V. in Niger." Thesis, Uppsala universitet, Teologiska institutionen, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-447130.

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Noma is a neglected non-contagious disease of the face and mouth affecting children living in extreme poverty. Due to the quick spread of the disease, the mortality rate is estimated at 90% when treatment is not started within two weeks of onset. Even though Hilfsaktion Noma e.V. (HAN) has been actively spreading awareness about the disease and offering treatment and reconstructive surgery, the mortality rate has not decreased. Moreover, patients reaching the noma centre often present severe sequela, affecting their speech, eating and drinking ability. Therefore, this study investigates the challenges faced by noma patients to seek medical care in Niger and how to overcome them. A mixed-method approach was performed; a survey among healthcare workers of HAN was supplemented with an interview with a key informant of the organisation in order to get a wider understanding of the possible challenges noma patients encounter. Accessibility to healthcare, as well as distance to the hospital and lack of transportation means were identified as the challenges with the highest impact on the health-seeking behaviour of noma patients. The lack of knowledge about noma and treatment costs were the second main challenge. This information gap is reflected in stigmatization, inadequate health care staff and seeking aid from traditional healers, which seriously endangers the life of patients. To overcome these challenges, a community-based surveillance system in combination with a multisectoral approach was proposed. This low-cost system can not only eliminate noma by facilitating the early detection of noma patients, but it can also contribute to sustainable health in Niger and other countries in the Noma belt.
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Books on the topic "Community-based surveillance system"

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Davis, Letitia, and Kerry Souza. Occupational and Environmental Health Surveillance. Oxford University Press, 2017. http://dx.doi.org/10.1093/oso/9780190662677.003.0006.

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This chapter describes various approaches to occupational and environmental health surveillance. It begins by defining public health surveillance and the basic principles of surveillance, emphazing the critical link between data and action and the importance of using surveillance findings to improve worker and community health. It describes case-based surveillance, population-based surveillance, rate-based surveillance, and hazard surveillance. It describes surveillance systems, including those based on physician reporting and on laboratory reporting. The chapter provides a description of the major occupational health surveillance systems and environmental health surveillance activities in the United States, and includes examples of how data have been translated to action. It concludes in identifying some of the surveillance challenges and opportunities related to 21st century changes in the workplace, the ambient environment, and information technology.
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Book chapters on the topic "Community-based surveillance system"

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De Paula Vieira, Andreia, and Raymond Anthony. "Reimagining Human Responsibility Towards Animals for Disaster Management in the Anthropocene." In The International Library of Environmental, Agricultural and Food Ethics, 223–54. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-63523-7_13.

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AbstractAnimals, like human beings, are prone to suffering harms, such as disease, injury and death, as a result of anthropogenic and natural disasters. Animals are disproportionately prone to risk and adversely affected by disasters, and thus require humane and respectful care when disasters strike, due to socially situated vulnerabilities based on how human communities assess and value their moral standing and function. The inability to integrate animals into disaster risk and management practices and processes can sometimes be associated with a lack of understanding about what animal ethics and animal health and welfare require when designing disaster management programs. This chapter seeks to reimagine human responsibility towards animals for disaster management. The pervasiveness of disasters and their impacts on animals, human-animal and animal-environment relationships underscore the importance of effective animal disaster management supported by sound ethical decision-making processes. To this end, we delineate six ethically responsible animal caretaking aims for consideration when developing disaster management plans and policies. These aims, which address central vulnerabilities experienced by domesticated animals during disasters, are meant to be action-guiding within the disaster management context. They include: (1) Save lives and mitigate harm; (2) Protect animal welfare and respect animals’ experiences; (3) Observe, recognize and promote distributive justice; (4) Advance public involvement; (5) Empower caregivers, guardians, owners and community members; (6) Bolster public health and veterinary community professionalism, including engagement in multidisciplinary teams and applied scientific developments. To bring about these aims, we offer a set of practical and straightforward action steps for animal caregivers and disaster management teams to ensure that animals’ interests are systematically promoted in disaster management. They include: (1) Respect and humane treatment; (2) Collaboration and effective disaster communication; (3) Strengthening systems of information sharing, surveillance, scientific research, management and training; (4) Community outreach and proactive contact; (5) Cultural sensitivity and attitudes check, and (6) Reflection, review and reform.
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Kipanyula, Maulilio J., Anna M. Geofrey, Kadeghe G. Fue, Malongo R. S. Mlozi, Siza D. Tumbo, Ruth Haug, and Camilius A. Sanga. "Web and Mobile Phone Based Rabies Surveillance System for Humans and Animals in Kilosa District, Tanzania." In Biometrics, 559–72. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-0983-7.ch023.

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Rabies has continued to claim human life despite different efforts to controls its transmission cycles between humans and domestic dogs. New developments in ICT have provided an opportunity for increased possibilities for community involvement in rabies surveillance. The main objective of this study was to investigate on approaches and practices to improve the communication of rabies surveillance information at different levels. Specifically, a study was carried to establish the significance of applying human sensor web system. Human sensor web has a potential of strengthening rabies surveillance system and serves as applied research tools for investigating strategic spatially targeted control activities, identifying areas most at risk and early detection of rabies incursions. Web and mobile based rabies surveillance system was developed and piloted as a support tool for the detection, surveillance and control of rabies. Wide application of the developed system will pave way for effective and efficient country-wide sharing of rabies surveillance information.
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Kitaw, Yayehyirad, and Mirgissa Kaba. "Evidence-Based Preparedness for Post COVID-19." In Evidence-Based Approaches to Effectively Respond to Public Health Emergencies [Working Title]. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.96931.

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In spite of skepticisms at various levels, the COVID-19 pandemic posed unprecedented impact on global health and economy. Although projections have yet to materialize, African countries are not at their worst with COVID-19. Yet, the worst is probably in the making despite swift, progressive, and adaptable responses many African countries have taken based on lessons from countries affected by the pandemic earlier. While efforts are underway to contain the current pandemic, the almost certain hit by another pandemic may call for appropriate preparation. This review aims to shade light on the need to align current COVID-19 prevention and management with preparation for the potential next one. A rapid review of available evidence was undertaken using clearly defined inclusion criteria and data analysis methods. The immediate focus of preparedness is coordination of interventions where evidence generation, policy making, public and private sector as well as community engagement is required to contain the current COVID-19 pandemic. Improved/adapted mathematical projections to guide decisions; improved/adapted methods for risk communication and community engagement; improved methods/technologies for surveillance, case detection and containment; optimal use of all the limited available resources; and strengthening partnerships at all levels need to be strengthened. Current endeavors should pay attention to strengthen the surveillance system for early detection; provision of adequate health care infrastructure; strong and capable health workforce and financing. Furthermore, strengthen research capacity to play its role to shape the post-COVID-19 is critical by strengthening inter and intra-disciplinary research capacities; forging partnerships at all levels. Evidently COVID-19 has posed unprecedented challenge to the globe at large. Yet, it also offered opportunities to reassess existing health system vis-à-vis the pandemics. Besides, useful lessons from COVID-19 are that it does not discriminate human beings across globe by economy, political system and socio-cultural backgrounds. This is a useful lesson for global solidarity and align efforts to contain post COVID-19 implications as well as to prevent and manage similar such pandemics in the future.
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Jia, Hui-Xing, and Yu-Jin Zhang. "Human Detection in Static Images." In Pattern Recognition Technologies and Applications, 227–43. IGI Global, 2008. http://dx.doi.org/10.4018/978-1-59904-807-9.ch010.

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Human detection is the first step for a number of applications such as smart video surveillance, driving assistance systems, and intelligent digital content management. It’s a challenging problem due to the variance of illumination, color, scale, pose, and so forth. This chapter reviews various aspects of human detection in static images and focuses on learning-based methods that build classifiers using training samples. There are usually three modules for these methods: feature extraction, classifier design, and merge of overlapping detections. The chapter reviews most existing methods for each module and analyzes their respective pros and cons. The contribution includes two aspects: first, the performance of existing feature sets on human detection are compared; second, a fast human detection system based on histogram of oriented gradients features and cascaded AdaBoost classifier is proposed. This chapter should be useful for both algorithm researchers and system designers in the computer vision and pattern recognition community.
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Armando, Alessandro, Michele Bezzi, Nadia Metoui, and Antonino Sabetta. "Risk-Based Privacy-Aware Information Disclosure." In Censorship, Surveillance, and Privacy, 567–86. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7113-1.ch030.

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Risk-aware access control systems grant or deny access to resources based on the notion of risk. It has many advantages compared to classical approaches, allowing for more flexibility, and ultimately supporting for a better exploitation of data. The authors propose and demonstrate a risk-aware access control framework for information disclosure, which supports run-time risk assessment. In their framework access-control decisions are based on the disclosure-risk associated with a data access request and, differently from existing models, adaptive anonymization operations are used as risk-mitigation method. The inclusion of on-the-fly anonymization allows for extending access to data, still preserving privacy below the maximum tolerable risk. Risk thresholds can be adapted to the trustworthiness of the requester role, so a single access control framework can support multiple data access use cases, ranging from sharing data among a restricted (highly trusted) group to public release (low trust value). The authors have developed a prototype implementation of their framework and have assessed it by running a number of queries against the Adult Data Set from the UCI Machine Learning Repository, a publicly available dataset that is widely used by the research community. The experimental results are encouraging and confirm the feasibility of the proposed approach.
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Taneja, Anjali, and William Wagner. "Transforming Opioid Addictions Care in New Mexico: Combining Medication Treatment with Patient Autonomy, Civic Engagement and Integrative Healing." In Leading Community Based Changes in the Culture of Health in the US - Experiences in Developing the Team and Impacting the Community. IntechOpen, 2021. http://dx.doi.org/10.5772/intechopen.98463.

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Opioid addiction is a complex issue. New Mexico has historically experienced some of the highest rates of deaths from opioid overdose, and opioid addictions have affected generations of New Mexicans -- starting many years before the more recent national crisis. Treatment approaches to opioid and other addictions are fraught with paternalism, stigma, surveillance, criminalization, shaming, racism, discrimination, and issues with access to care. Current treatment paradigms fail to take into account the social and economic factors of people, community, and context. New paradigms embracing a broader, more-just contextualization of addictions, along with evidence-based treatment approaches are needed to transform medicine’s historic role in the “war on drugs”. The Strong Roots/Raices Fuertes program was developed by two community clinics, Casa de Salud and Centro Sávila, in Albuquerque, New Mexico. The program evolved from a desire to to acknowledge and right historical harms that the medical-industrial complex has caused; to provide rapid access to dignified, life-saving, evidence-based holistic treatment for opioid addictions in a community setting; and to build a model of care that transforms the biomedical model into one of solidarity with community and collective care. Five key concepts underpin the program design: 1) Harm Reduction, Autonomy, and Agency; 2) Healing-Centered Engagement; 3) Language and Cultural Humility; 4) Transforming Health Systems Design; 5) Workforce Diversity and Pipeline Training. The program’s core components include conventional approaches such as low-barrier access buprenorphine (suboxone®) to medication treatment, primary care, case management, syringe exchange, and counseling/therapy in addition to more community-rooted and integrative healing modalities such as healing circles, acupuncture, massage, reiki, ear acudetox, and civic engagement. In sharing the values, lessons learned, and tools from our work in the Strong Roots/Raices Fuertes program, we hope to inspire and encourage others wishing to develop new systems of care for people dealing with addiction issues.
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Nunes, João F., Pedro M. Moreira, and João Manuel R. S. Tavares. "Human Motion Analysis and Simulation Tools." In Advances in Systems Analysis, Software Engineering, and High Performance Computing, 359–88. IGI Global, 2016. http://dx.doi.org/10.4018/978-1-4666-8823-0.ch012.

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Computational systems to identify objects represented in image sequences and tracking their motion in a fully automatic manner, enabling a detailed analysis of the involved motion and its simulation are extremely relevant in several fields of our society. In particular, the analysis and simulation of the human motion has a wide spectrum of relevant applications with a manifest social and economic impact. In fact, usage of human motion data is fundamental in a broad number of domains (e.g.: sports, rehabilitation, robotics, surveillance, gesture-based user interfaces, etc.). Consequently, many relevant engineering software applications have been developed with the purpose of analyzing and/or simulating the human motion. This chapter presents a detailed, broad and up to date survey on motion simulation and/or analysis software packages that have been developed either by the scientific community or commercial entities. Moreover, a main contribution of this chapter is an effective framework to classify and compare motion simulation and analysis tools.
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