Disease Surveillance Networks Initiative Asia: Final Evaluation

The DSN Initiative was launched in 2007 under the new strategy of the Rockefeller Foundation. The initiative intends:[1] To improve human resources for disease surveillance in developing countries, thus bolstering national capacity to monitor, report, and respond to outbreaks;[2] To support regional networks to promote collaboration in disease surveillance and response across countries; and[3] To build bridges between regional and global monitoring effortsThe purpose of the DSN evaluation in the Mekong region was twofold:[1]To inform the work and strategy of the Foundation, its grantees, and the broader field of disease surveillance, based on the experience of DSN investments in the Mekong region. More specifically, the evaluation will inform future directions and strategies for current areas of DSN Initiative work, particularly in Asia, and will highlight potential new areas of work and strategy; and[2] To provide accountability to the Rockefeller Foundation's board, staff, and stakeholders for the DSN funds spent in the Mekong region

Pan-European Chikungunya surveillance: Designing risk stratified surveillance zones

This article has been made available through the Brunel Open Access Publishing Fund - Copyright @ 2009 Tilston et alThe first documented transmission of Chikungunya within Europe took place in Italy during the summer of 2007. Chikungunya, a viral infection affecting millions of people across Africa and Asia, can be debilitating and no prophylactic treatment exists. Although imported cases are reported frequently across Europe, 2007 was the first confirmed European outbreak and available evidence suggests that Aedes albopictus was the vector responsible and the index case was a visitor from India. This paper proposed pan-European surveillance zones for Chikungunya, based on the climatic conditions necessary for vector activity and viral transmission. Pan-European surveillance provides the best hope for an early-warning of outbreaks, because national boundaries do not play a role in defining the risk of this new vector borne disease threat. A review of climates, where Chikungunya has been active, was used to inform the delineation of three pan-European surveillance zones. These vary in size each month across the June-September period of greatest risk. The zones stretch across southern Europe from Portugal to Turkey. Although the focus of this study was to define the geography of potential surveillance zones based on the climatic limits on the vector and virus, a preliminary examination of inward bound airline passengers was also undertaken. This indicated that France and Italy are likely to be at greater risk due to the number of visitors they receive from Chikungunya active regions, principally viraemic visitors from India. Therefore this study represents a first attempt at creating risk stratified surveillance zones, which we believe could be usefully refined with the use of higher resolution climate data and more complete air travel data

Geographical Information System (GIS) and Remote Sensing (RS) Applications in Disaster Risk Reduction (DRR) in Malaysia

In a world today that is highly dependent on information technologies, Geographical Information System (GIS) and Remote Sensing (RS) has become one of advancement in spatial technologies that had been used to tackle the issue of an uncertain world. Primarily functioned with specialized capabilities in manipulating, analyzing, and visualizing the massive data from multiagencies, has opened new avenues for these technologies to be adopted in disaster management. Taking this into consideration, it leads to achieving disaster management objectives in Disaster Risk Reduction (DRR) which to reduce or minimize the exposure to hazards, lessened vulnerability of people and property, wise emergency preparation, and enhanced preparedness for an unfavourable situation. This paper aims to make a systematic review of literature in highlighting the significant potential of the GIS and remote sensing, integrating the aspect relevant to disasters socially and physically that helps in forming a comprehensive disaster management operations to reduce the vulnerability and strengthen the resilience to disaster. Accordingly, the paper has presented the outcomes and review of several researchers concerning the implementation of GIS and remote sensing in disaster management, specifically on disaster risk reduction. &nbsp

Geographical Information System (GIS) and Remote Sensing (RS) Applications in Disaster Risk Reduction (DRR) in Malaysia

In a world today that is highly dependent on information technologies, Geographical Information System (GIS) and Remote Sensing (RS) has become one of advancement in spatial technologies that had been used to tackle the issue of an uncertain world. Primarily functioned with specialized capabilities in manipulating, analyzing, and visualizing the massive data from multiagencies, has opened new avenues for these technologies to be adopted in disaster management. Taking this into consideration, it leads to achieving disaster management objectives in Disaster Risk Reduction (DRR) which to reduce or minimize the exposure to hazards, lessened vulnerability of people and property, wise emergency preparation, and enhanced preparedness for an unfavourable situation. This paper aims to make a systematic review of literature in highlighting the significant potential of the GIS and remote sensing, integrating the aspect relevant to disasters socially and physically that helps in forming a comprehensive disaster management operations to reduce the vulnerability and strengthen the resilience to disaster. Accordingly, the paper has presented the outcomes and review of several researchers concerning the implementation of GIS and remote sensing in disaster management, specifically on disaster risk reduction. &nbsp

An algorithm applied to national surveillance data for the early detection of major dengue outbreaks in Cambodia

Dengue is a national priority disease in Cambodia. The Cambodian National Dengue Surveillance System is based on passive surveillance of dengue-like inpatients reported by public hospitals and on a sentinel, pediatric hospital-based active surveillance system. This system works well to assess trends but the sensitivity of the early warning and time-lag to usefully inform hospitals can be improved. During The ECOnomic development, ECOsystem MOdifications, and emerging infectious diseases Risk Evaluation (ECOMORE) project’s knowledge translation platforms, Cambodian hospital staff requested an early warning tool to prepare for major outbreaks. Our objective was therefore to find adapted tools to improve the early warning system and preparedness. Dengue data was provided by the National Dengue Control Program (NDCP) and are routinely obtained through passive surveillance. The data were analyzed at the provincial level for eight Cambodian provinces during 2008–2015. The R surveillance package was used for the analysis. We evaluated the effectiveness of Bayesian algorithms to detect outbreaks using count data series, comparing the current count to an expected distribution obtained from observations of past years. The analyses bore on 78,759 patients with dengue-like syndromes. The algorithm maximizing sensitivity and specificity for the detection of major dengue outbreaks was selected in each province. The overall sensitivity and specificity were 73% and 97%, respectively, for the detection of significant outbreaks during 2008–2015. Depending on the province, sensitivity and specificity ranged from 50% to 100% and 75% to 100%, respectively. The final algorithm meets clinicians’ and decisionmakers’ needs, is cost-free and is easy to implement at the provincial level

The deuce-ace of Lassa Fever, Ebola virus disease and COVID-19 simultaneous infections and epidemics in West Africa:clinical and public health implications

Globally, the prevailing COVID-19 pandemic has caused unprecedented clinical and public health concerns with increasing morbidity and mortality. Unfortunately, the burden of COVID-19 in Africa has been further exacerbated by the simultaneous epidemics of Ebola virus disease (EVD) and Lassa Fever (LF) which has created a huge burden on African healthcare systems. As Africa struggles to contain the spread of the second (and third) waves of the COVID-19 pandemic, the number of reported cases of LF is also increasing, and recently, new outbreaks of EVD. Before the pandemic, many of Africa’s frail healthcare systems were already overburdened due to resource limitations in staffing and infrastructure, and also, multiple endemic tropical diseases. However, the shared epidemiological and pathophysiological features of COVID-19, EVD and LF as well their simultaneous occurrence in Africa may result in misdiagnosis at the onset of infection, an increased possibility of co-infection, and rapid and silent community spread of the virus(es). Other challenges include high population mobility across porous borders, risk of human-to-animal transmission and reverse zoonotic spread, and other public health concerns. This review highlights some major clinical and public health challenges toward responses to the COVID-19 pandemic amidst the deuce-ace of recurrent LF and EVD epidemics in Africa. Applying the One Health approach in infectious disease surveillance and preparedness is essential in mitigating emerging and re-emerging (co-)epidemics in Africa and beyond

Technical handbook for dengue surveillance, dengue outbreak prediction/detection and outbreak response (Model contingency plan)

This handbook was produced by TDR together with WHO’s Neglected Tropical Diseases (NTD) Department and WHO regional offices in the context of a European Union-financed research programme, the International Research Consortium on Dengue Risk Assessment, Management and Surveillance (IDAMS), to develop an evidence-based handbook for the early outbreak detec-tion and management of dengue fever outbreaks. The handbook targets public health providers, in particular those at national level. It is not an implementation guideline, but a framework for developing a national contingency plan with local adaptations that acknowledge micro-level pro-gramme components. Response planning requires contextual details encompassing the structure of the health and vector control services, the availability of infrastructure and budget, and human resources, and the willingness of staff to cooperate, among others. The aim of this “model contingency plan” is to assist programme managers and planners in devel-oping a national, context-specific, dengue outbreak response plan in order to: (a) detect a dengue outbreak at an early stage through clearly defined and validated alarm signals; (b) precisely define when a dengue outbreak has started; and (c) organize an early response to the alarm signals or an “emergency response” once an outbreak has started. A summary of this document, "Dengue Contingency Planning: From Research to Policy and Practice" (PNTD-D-16-00407R1) has also been published in PLOS Neglected Tropical Diseases

Dengue fever in Nigeria: a mini review

Dengue is a disease caused by dengue virus. It is a major mosquito-borne viral disease of humans that is endemic in areas of tropical and subtropical regions, which are environmentally suitable for vector propagation. The disease poses a major threat to the overwhelmed and weak public healthcare delivery system in the developing world, especially in Africa where febrile illnesses are common. The disease undermines the fight against febrile illnesses as infection with dengue often remains undetected or misdiagnosed as malaria or other febrile diseases. This review article highlights dengue epidemiology in Nigeria, dengue transmission dynamics, pathogenesis, diagnosis and current interventions strategies, challenges in addressing dengue infection and future prospects towards dengue elimination. The literature search for publications on dengue virus infection in Nigeria was performed using Google Scholar, PubMed, Web of Science, African Journals Online and other scholarly online databases. Dengue remains a threat to Nigeria and other African countries. In Nigeria, the occurrence of this infection remains a low priority in the public health sector even though it has been reported in about 17 states across the country. The reports of dengue infection in all the geo-political zones suggests active transmission of dengue, hence the need to consider other etiologies of febrile illnesses and engage the public to sustain local involvement as local risk to dengue outbreaks is linked to the population’s knowledge, attitude and behavioral practices that encourage vector breedin