A severe diarrhoeal outbreak in a remote Pacific island community, Anuta Island, Solomon Islands, April-June 2019.

CONTEXT: Solomon Islands is a small developing island state located in the south-western Pacific Ocean. A population of approximately 680 000 people live on more than one-third of the 992 islands that make up the country. Approximately 80% of the population reside in rural areas, many in remote, difficult to reach and poorly serviced island settings. ISSUE: In May 2019, the national surveillance system detected a rumour of a severe diarrhoea outbreak in a very remote and isolated community on Anuta Island, located halfway between the Solomon Islands archipelago and Tuvalu. This communication reports on the investigation and response to the outbreak, which affected 50 people (attack rate of 21.5%) and caused four deaths (case fatality rate of 8%). The authors highlight the system challenges faced in mounting the response and provide suggestions that may help overcome them. LESSONS LEARNED: The outbreak highlighted the challenges in detecting and responding to outbreaks in remote and rural areas of the Pacific Islands, and the limitations of rumour surveillance as a relied-upon surveillance strategy. The outbreak emphasises the need to build local capacity to detect, report and respond to outbreaks and the need for policy frameworks that ensure remote communities receive adequate health protection services.

Epidemic surveillance in a low resource setting: lessons from an evaluation of the Solomon Islands syndromic surveillance system, 2017.

BACKGROUND: Solomon Islands is one of the least developed countries in the world. Recognising that timely detection of outbreaks is needed to enable early and effective response to disease outbreaks, the Solomon Islands government introduced a simple syndromic surveillance system in 2011. We conducted the first evaluation of the system and the first exploration of a national experience within the broader multi-country Pacific Syndromic Surveillance System to determine if it is meeting its objectives and to identify opportunities for improvement. METHODS: We used a multi-method approach involving retrospective data collection and statistical analysis, modelling, qualitative research and observational methods. RESULTS: We found that the system was well accepted, highly relied upon and designed to account for contextual limitations. We found the syndromic algorithm used to identify outbreaks was moderately sensitive, detecting 11.8% (IQR: 6.3-25.0%), 21.3% (IQR: 10.3-36.8%), 27.5% (IQR: 12.8-52.3%) and 40.5% (IQR: 13.5-65.7%) of outbreaks that caused small, moderate, large and very large increases in case presentations to health facilities, respectively. The false alert rate was 10.8% (IQR: 4.8-24.5%). Rural coverage of the system was poor. Limited workforce, surveillance resourcing and other 'upstream' health system factors constrained performance. CONCLUSIONS: The system has made a significant contribution to public health security in Solomon Islands, but remains insufficiently sensitive to detect small-moderate sized outbreaks and hence should not be relied upon as a stand-alone surveillance strategy. Rather, the system should sit within a complementary suite of early warning surveillance activities including event-based, in-patient- and laboratory-based surveillance methods. Future investments need to find a balance between actions to address the technical and systems issues that constrain performance while maintaining simplicity and hence sustainability.

Towards effective outbreak detection: a qualitative study to identify factors affecting nurses' early warning surveillance practice in Solomon Islands.

BACKGROUND: Intelligence generated by a surveillance system is dependent on the quality of data that are collected. We investigated the knowledge, attitudes and practices of nurses responsible for outbreak early warning surveillance data collection in Solomon Islands to identify factors that influence their ability to perform surveillance-related tasks with rigour. METHODS: We interviewed 12 purposively selected surveillance nurses and conducted inductive analysis on resulting data. RESULTS: Interviewees were knowledgeable and willing to contribute to the surveillance system. Constraining factors included the perception that surveillance was less important than patient care and could be 'deferred' during busy periods and wide variability in the application of case definitions. Motivating factors were frequent in-clinic training, formal recognition for good performance, incentives and designation of a focal point. Nurses held mixed views about the effect of mobile technologies on surveillance practice. CONCLUSIONS: This study identified several challenges to consistent and accurate data collection and reporting. Engagement of different parts of the health system, including human resources and health facilities' management, is needed to address these challenges.

Enhanced surveillance during a public health emergency in a resource-limited setting: Experience from a large dengue outbreak in Solomon Islands, 2016-17.

Between August-2016 and April-2017, Solomon Islands experienced the largest and longest-running dengue outbreak on record in the country, with 12,329 suspected cases, 877 hospitalisations and 16 deaths. We conducted a retrospective review of related data and documents, and conducted key informant interviews to characterise the event and investigate the adaptability of syndromic surveillance for enhanced and expanded data collection during a public health emergency in a low resource country setting. While the outbreak quickly consumed available public and clinical resources, we found that authorities were able to scale up the conventional national syndrome-based early warning surveillance system to support the increased information demands during the event demonstrating the flexibility of the system and syndromic surveillance more broadly. Challenges in scaling up included upskilling and assisting staff with no previous experience of the tasks required; managing large volumes of data; maintaining data quality for the duration of the outbreak; harmonising routine and enhanced surveillance data and maintaining surveillance for other diseases; producing information optimally useful for response planning; and managing staff fatigue. Solomon Islands, along with other countries of the region remains vulnerable to outbreaks of dengue and other communicable diseases. Ensuring surveillance systems are robust and able to adapt to changing demands during emergencies should be a health protection priority.