Meningitis in children in Fiji: etiology, epidemiology, and neurological sequelae.

OBJECTIVES: To describe the etiology, epidemiology, neurological sequelae, and quality of life of children aged 1 month to less than 5 years admitted with meningitis to the Colonial War Memorial Hospital (CWMH), Suva, Fiji. METHODS: Over a 3-year period, all eligible children with suspected meningitis admitted to CWMH had blood drawn for culture. Of these children, those for whom is was possible were tested for a four-fold rise in antibody titers to Haemophilus influenzae type b (Hib) and pneumococcal surface adhesin A (PsaA). Cerebrospinal fluid (CSF) was taken for bacteriological culture and antigen testing. CSF was also tested by PCR for Streptococcus species, Neisseria meningitidis, Hib, Mycobacterium tuberculosis, and enterovirus. Pneumococcal isolates were serotyped using multiplex-PCR reverse-line blot hybridization. Following discharge, cases underwent a neurological assessment, audiometry, and quality of life assessment (Pediatric Quality of Life Inventory (PedsQL) tool). RESULTS: There were 70 meningitis cases. Meningitis was more common in indigenous Fijian than Indo-Fijian children. Enterovirus was the most common etiological agent and appeared to be outbreak-associated. Streptococcus pneumoniae was the most common bacterial cause of meningitis with an annual incidence of 9.9 per 100 000 under 5 years old (95% confidence interval 4.9-17.7) and a case fatality rate of 36%. With the exception of deafness, neurological sequelae were more frequent in cases of bacterial meningitis than in viral meningitis (18.5% vs. 0%, p=0.04). Quality of life at follow-up was significantly lower in patients with bacterial meningitis than in those with viral meningitis (p=0.003) or meningitis of unknown etiology (p=0.004). CONCLUSIONS: During the study period an outbreak of enterovirus occurred making it the most common etiological agent identified. However in the absence of this outbreak, S. pneumoniae was the most common cause of childhood meningitis in Fiji. Bacterial meningitis is associated with serious sequelae and a reduced quality of life

An outbreak investigation of paediatric severe acute respiratory infections requiring admission to intensive care units - Fiji, May 2016

Introduction Influenza-associated severe acute respiratory infections (SARI) are a major contributor to global morbidity and mortality. In response to a cluster of SARI cases and deaths in pregnant women, with two deceased cases testing positive for influenza A(H1N1)pdm09, an investigation was initiated to determine whether there was an increase of paediatric SARI cases admitted to divisional hospital intensive care units in Fiji in may 2016 compared to May 2013-2015. Methods Retrospective case finding was conducted at the paediatric intensive care units (PICUs) in Fiji's three divisional hospitals. Data were collected from 1 January 2013 to 26 May 2016. Cases were identified using a list of clinical diagnoses compatible with SARI. Results A total of 632 cases of paediatric SARI with complete details were identified. The median age of cases was 6 months (Interquartile range: 2-14 months). Children aged less than 5 years had a higher rate of paediatric SARI requiring admission to a divisional hospital PICU in May 2016 compared to May 2013-2015 (Incidence rate ratio: 1.7 [95% CI: 1.1-2.6]). This increase was not observed in children aged 5-14 years. The case-fatality ratio was not significantly different in 2016 compared to previous years. Conclusion The investigation enabled targeted public health response measures, including enhanced SARI surveillance at divisional hospitals and an emergency influenza vaccination campaign in the Northern Division

Evaluation of the early warning, alert and response system after Cyclone Winston, Fiji, 2016

To assess the performance of an early warning, alert and response system (EWARS) developed by the World Health Organization (WHO) – EWARS in a Box – that was used to detect and control disease outbreaks after Cyclone Winston caused destruction in Fiji on 20 February 2016

Tool for tracking all-cause mortality and estimating excess mortality to support the COVID-19 pandemic response.

ProblemQuantifying mortality from coronavirus disease (COVID-19) is difficult, especially in countries with limited resources. Comparing mortality data between countries is also challenging, owing to differences in methods for reporting mortality.ContextTracking all-cause mortality (ACM) and comparing it with expected ACM from pre-pandemic data can provide an estimate of the overall burden of mortality related to the COVID-19 pandemic and support public health decision-making. This study validated an ACM calculator to estimate excess mortality during the COVID-19 pandemic.ActionThe ACM calculator was developed as a tool for computing expected ACM and excess mortality at national and subnational levels. It was developed using R statistical software, was based on a previously described model that used non-parametric negative binomial regression and was piloted in several countries. Goodness-of-fit was validated by forecasting 2019 mortality from 2015-2018 data.OutcomeThree key lessons were identified from piloting the tool: using the calculator to compare reported provisional ACM with expected ACM can avoid potential false conclusions from comparing with historical averages alone; using disaggregated data at the subnational level can detect excess mortality by avoiding dilution of total numbers at the national level; and interpretation of results should consider system-related performance indicators.DiscussionTimely tracking of ACM to estimate excess mortality is important for the response to COVID-19. The calculator can provide countries with a way to analyse and visualize ACM and excess mortality at national and subnational levels

Lessons learnt from a three-year pilot field epidemiology training programme

PROBLEM: The Pacific region has widely dispersed populations, limited financial and human resources and a high burden of disease. There is an urgent need to improve the availability, reliability and timeliness of useable health data.CONTEXT: The purpose of this paper is to share lessons learnt from a three-year pilot field epidemiology training programme that was designed to respond to these Pacific health challenges. The pilot programme built on and further developed an existing field epidemiology training programme for Pacific health staff.ACTION: The programme was delivered in country by epidemiologists working for Pacific Public Health Surveillance Network partners. The programme consisted of five courses: four one-week classroom-based courses and one field epidemiology project. Sessions were structured so that theoretical understanding was achieved through interaction and reinforced through practical hands-on group activities, case studies and other interactive practical learning methods.OUTCOME: As of September 2016, 258 students had commenced the programme. Twenty-six course workshops were delivered and one cohort of students had completed the full five-course programme. The programme proved popular and gained a high level of student engagement.DISCUSSION: Face-to-face delivery, a low student-to-facilitator ratio, substantial group work and practical exercises were identified as key factors that contributed to the students developing skills and confidence. Close engagement of leaders and the need to quickly evaluate and adapt the curriculum were important lessons, and the collaboration between external partners was considered important for promoting a harmonized approach to health needs in the Pacific

The World Health Organization’s public health intelligence activities during the COVID-19 pandemic response, December 2019 to December 2021

The coronavirus disease (COVID-19) presented a unique opportunity for the World Health Organization (WHO) to utilise public health intelligence (PHI) for pandemic response. WHO systematically captured mainly unstructured information (e.g. media articles, listservs, community-based reporting) for public health intelligence purposes. WHO used the Epidemic Intelligence from Open Sources (EIOS) system as one of the information sources for PHI. The processes and scope for PHI were adapted as the pandemic evolved and tailored to regional response needs. During the early months of the pandemic, media monitoring complemented official case and death reporting through the International Health Regulations mechanism and triggered alerts. As the pandemic evolved, PHI activities prioritised identifying epidemiological trends to supplement the information available through indicator-based surveillance reported to WHO. The PHI scope evolved over time to include vaccine introduction, emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants, unusual clinical manifestations and upsurges in cases, hospitalisation and death incidences at subnational levels. Triaging the unprecedented high volume of information challenged surveillance activities but was managed by collaborative information sharing. The evolution of PHI activities using multiple sources in WHO’s response to the COVID-19 pandemic illustrates the future directions in which PHI methodologies could be developed and used.</jats:p

World Health Organization (WHO) criteria for initiating a rapid risk assessment.

World Health Organization (WHO) criteria for initiating a rapid risk assessment.</p