Community-based surveillance of infectious diseases: a systematic review of drivers of success

Using the WHO building blocks to examine cross-border public health surveillance in MENA

The introduction of the Sustainable Development Goals by the United Nations has set a global target for achieving Universal Health Coverage, requiring resilient health systems capable of addressing public health emergencies and ensuring health security. Public health surveillance, crucial for detecting and responding to infectious disease outbreaks, is key to building health system resilience. Due to the high levels of mobility and political instability in the Middle East and North Africa (MENA) region, unique challenges arise in cross-border health surveillance. This review aims to highlight the importance of cross-border public health surveillance in strengthening health systems across MENA to achieve equitable health outcomes.A mixed-methods approach was utilized, combining a systematic literature review with semi-structured in-depth interviews (IDIs) involving 28 stakeholders from seven MENA countries. The literature review adhered to PRISMA guidelines, while the IDIs provided qualitative insights into current surveillance practices and challenges. Findings from the literature review and IDIs were triangulated and analyzed using the WHO Health Systems Strengthening (HSS) Building Blocks Framework to identify key challenges and recommendations for improving cross-border surveillance.Results indicate that existing cross-border surveillance systems in MENA face challenges in data collection, analysis, and sharing, with disparities across countries based on income levels and political contexts. Key challenges include delayed and incomplete data sharing, insufficient funding across sectors, inadequate training, inconsistent data definitions, and limited integration of health data for mobile populations. Recommendations emphasize strengthened governance and leadership to facilitate regional cooperation and information sharing, sustainable financing for implementing a One Health approach, utilizing innovative information systems, workforce development to enhance data collection and analysis, and secure supply chains for medicines and vaccines and equitable service delivery for all mobile populations.In conclusion, the WHO HSS Building Block Framework provides a comprehensive approach to assessing and improving cross-border public health surveillance and enhancing health security and equity in MENA. Strengthening cross-border surveillance systems may help MENA countries meet IHR requirements, achieve greater health security, and advance health equity among all types of mobile populations. Despite limitations, the study offers critical insights for improving cross-border surveillance strategies in the region.

Social network analysis of key stakeholders in Brucellosis prevention in Western Iran

BACKGROUND

Brucellosis remains a persistent public health challenge in Iran, particularly in rural regions such as Lorestan province, due to systemic, economic, and cultural barriers. Effective disease control requires multisectoral collaboration among stakeholders. This study aimed to map the stakeholder network involved in brucellosis prevention in Lorestan province, identify gaps in coordination, and provide actionable recommendations for improving control strategies.

METHODS

This cross-sectional study employed social network analysis (SNA) to explore the relationships among key stakeholders in brucellosis prevention. Data were collected through a structured questionnaire administered to 75 experts from various sectors, including health, veterinary, agriculture, and non-governmental organizations. The SNA evaluated network density, clustering coefficient, and centrality metrics to determine the levels of collaboration and influence among stakeholders.

RESULTS

The analysis revealed a moderately dense network (density: 0.2745; clustering coefficient: 0.2839) with central roles played by the Veterinary Organization of Lorestan Province, Lorestan University of Medical Sciences, and the Ministry of Agriculture. These organizations exhibited high levels of influence, support, and interest in brucellosis prevention. However, limited involvement of community-based organizations and environmental agencies was identified, highlighting a critical gap in grassroots engagement. Fragmented coordination was particularly evident in rural areas, where traditional livestock practices, inadequate veterinary services, and the consumption of unpasteurized dairy products perpetuate disease transmission. Economic constraints, such as the high cost of vaccines, along with limited public awareness, further hinder effective control efforts.

CONCLUSIONS

Brucellosis prevention in Lorestan province requires a comprehensive, multisectoral approach. The adoption of a One Health framework can improve collaboration among stakeholders, enhance resource allocation, and address systemic barriers. Community engagement and intersectoral coordination are essential for improving public awareness and compliance with preventive measures. These findings provide a foundation for developing a National Brucellosis Control Program and inform strategies to mitigate zoonotic diseases in similar high-risk regions.

Experts' Views on Factors Influencing Resource Allocation for Infectious Disease Emergencies Based on Humanitarian Principles: A Qualitative Study

Introduction

Infectious diseases can result in global emergencies and a shortage of resources, leading to ethical and humanitarian challenges. This study aimed to identify the factors that affect the allocation of health resources based on humanitarian principles during infectious disease emergencies.

Methods

This study was conducted using a qualitative approach known as content analysis, and 23 specialists and experts with practical experience and theoretical knowledge in this area were carefully selected to participate in the study. The selection process continued until the principle of data saturation was attained. Data collection was done through in-depth, semi-structured interviews that were conducted from October to December 2023.

Results

Factors affecting resource allocation were categorized into 9 main themes, 25 categories, and 50 subcategories. The extracted themes are: (1) Rules and Regulations; (2) Quality in Allocation; (3) Human Aspects; (4) Epidemic/Pandemic Characteristics; (5) Governance and Policymaking; (6) Emergency Management; (7) Resource Management; (8) Solidarity; (9) Trustworthiness.

Conclusions

During emergencies caused by infectious diseases, resource allocation requires attention to various aspects such as laws, protocols, procedures, organizational structures, and coordination mechanisms. Ethical principles and respect for human aspects are also important.

Leveraging wastewater-based epidemiology to monitor the spread of neglected tropical diseases in African communities

Neglected tropical diseases continue to cause a significant burden worldwide, with Africa accounting for more than one-third of the global burden. Over the past decade, progress has been made in eliminating, controlling, and eradicating these diseases in Africa. By December 2022, 47 out of 54 African countries had eliminated at least one neglected tropical disease, and more countries were close to achieving this milestone. Between 2020 and 2021, there was an 80 million reduction in people requiring intervention. However, continued efforts are needed to manage neglected tropical diseases and address their social and economic burden, as they deepen marginalisation and stigmatisation. Wastewater-based epidemiology involves analyzing wastewater to detect and quantify biomarkers of disease-causing pathogens. This approach can complement current disease surveillance systems in Africa and provide an additional layer of information for monitoring disease spread and detecting outbreaks. This is particularly important in Africa due to limited traditional surveillance methods. Wastewater-based epidemiology also provides a tsunami-like warning system for neglected tropical disease outbreaks and can facilitate timely intervention and optimised resource allocation, providing an unbiased reflection of the community's health compared to traditional surveillance systems. In this review, we highlight the potential of wastewater-based epidemiology as an innovative approach for monitoring neglected tropical disease transmission within African communities and improving existing surveillance systems. Our analysis shows that wastewater-based epidemiology can enhance surveillance of neglected tropical diseases in Africa, improving early detection and management of Buruli ulcers, hookworm infections, ascariasis, schistosomiasis, dengue, chikungunya, echinococcosis, rabies, and cysticercosis for better disease control.

Trust Building in Public Health Approaches: The Importance of a "People-Centered" Concept in Crisis Response

Purpose

To argue for trust-building as a key solution for responding to public health crises in the face of political ambiguity in international health governance.

Patients and Methods

This perspective piece reviews fundamental concepts and discusses future directions using secondary data from open-access sources.

Results

The promise of learning from Covid-19 and previous public health crises, along with the growing recognition of a 'Health For All Policies' approach, clash with siloed preparations, management, and recovery plans for future emergency crises. Trust is proposed as a possible solution to overcome these limitations. It acts as a binding force that unites individuals within the community, fostering a sense of belonging and participation. Trust-building is viewed as a "People-Centered" approach in Crisis Response, aimed at creating active and resilient communities to foster preparation and readiness, respond to emergent risks, facilitate recovery, and mitigate risks. A remaining question is how to measure and identify the dimensions and determinants of trust in specific circumstances. Some ideas are systematized to highlight the pathway to build trust in public health approaches, including transparency, education, robust and equitable health systems, strengthened social capital, stakeholders' engagement, and health workforce training.

Conclusion

Trust in public health approaches can be fostered through consistent delivery of quality care, a clear, shared vision, and values underpinned by ethical standards. It requires a commitment to stakeholder well-being, including staff, and the integration of reliability, integrity, and transparency into policies, strategies, and practices. Exemplary leadership, openness in resource utilization, addressing waste or corruption, and effective communication of these principles are essential.

Infectious eye disease in the 21st century-an overview

Infectious diseases affecting the eye often cause unilateral or asymmetric visual loss in children and people of working age. This group of conditions includes viral, bacterial, fungal and parasitic diseases, both common and rare presentations which, in aggregate, may account for a significant portion of the global visual burden. Diagnosis is frequently challenging even in specialist centres, and many disease presentations are highly regional. In an age of globalisation, an understanding of the various modes of transmission and the geographic distribution of infections can be instructive to clinicians. The impact of eye infections on global disability is currently not sufficiently captured in global prevalence studies on visual impairment and blindness, which focus on bilateral disease in the over-50s. Moreover, in many cases it is hard to differentiate between infectious and immune-mediated diseases. Since infectious eye diseases can be preventable and frequently affect younger people, we argue that in future prevalence studies they should be considered as a separate category, including estimates of disability-adjusted life years (DALY) as a measure of overall disease burden. Numbers of ocular infections are uniquely affected by outbreaks as well as endemic transmission, and their control frequently relies on collaborative partnerships that go well beyond the remit of ophthalmology, encompassing domains as various as vaccination, antibiotic development, individual healthcare, vector control, mass drug administration, food supplementation, environmental and food hygiene, epidemiological mapping, and many more. Moreover, the anticipated impacts of global warming, conflict, food poverty, urbanisation and environmental degradation are likely to magnify their importance. While remote telemedicine can be a useful aide in the diagnosis of these conditions in resource-poor areas, enhanced global reporting networks and artificial intelligence systems may ultimately be required for disease surveillance and monitoring.

Understanding the delay in identifying Sudan Virus Disease: gaps in integrated disease surveillance and response and community-based surveillance to detect viral hemorrhagic fever outbreaks in Uganda, September 2022

BACKGROUND

Early detection of outbreaks requires robust surveillance and reporting at both community and health facility levels. Uganda implements Integrated Disease Surveillance and Response (IDSR) for priority diseases and uses the national District Health Information System (DHIS2) for reporting. However, investigations after the first case in the 2022 Uganda Sudan virus outbreak was confirmed on September 20, 2022 revealed many community deaths among persons with Ebola-like symptoms as far back as August. Most had sought care at private facilities. We explored possible gaps in surveillance that may have resulted in late detection of the Sudan virus disease (SVD) outbreak in Uganda.

METHODS

Using a standardized tool, we evaluated core surveillance capacities at public and private health facilities at the hospital level and below in three sub-counties reporting the earliest SVD cases in the outbreak. Key informant interviews (KIIs) were conducted with 12 purposively-selected participants from the district local government. Focus group discussions (FGDs) were conducted with community members from six villages where early probable SVD cases were identified. KIIs and FGDs focused on experiences with SVD and Viral Hemorrhagic Fever (VHF) surveillance in the district. Thematic data analysis was used for qualitative data.

RESULTS

Forty-six (85%) of 54 health facilities surveyed were privately-owned, among which 42 (91%) did not report to DHIS2 and 39 (85%) had no health worker trained on IDSR; both metrics were 100% in the eight public facilities. Weak community-based surveillance, poor private facility engagement, low suspicion index for VHF among health workers, inability of facilities to analyze and utilize surveillance data, lack of knowledge about to whom to report, funding constraints for surveillance activities, lack of IDSR training, and lack of all-cause mortality surveillance were identified as gaps potentially contributing to delayed outbreak detection.

CONCLUSION

Both systemic and knowledge-related gaps in IDSR surveillance in SVD-affected districts contributed to the delayed detection of the 2022 Uganda SVD outbreak. Targeted interventions to address these gaps in both public and private facilities across Uganda could help avert similar situations in the future.

Assessing the performance of the integrated disease surveillance and response systems: a systematic review of global evidence

OBJECTIVES

Public health surveillance systems are critical for detecting and responding to health threats. This review aims to analyze international literature on the performance of these systems in terms of core, support, and attributes of surveillance system.

STUDY DESIGN

Systematic review.

METHODS

Following the preregistered protocol (PROSPERO: CRD42022366051), a systematic search was conducted on PubMed/MEDLINE, CINHAL, CABI, Web of Science, and Google Scholar for articles evaluating Public Health Surveillance System performance from inception to July 21, 2023. Various study designs were included, and quality assessment was performed. Thematic analysis categorized findings into key surveillance system functions.

RESULTS

Nine studies from different countries assessed core and supportive functions, as well as surveillance attributes. Performance varied among countries, with some excelling overall and others showing poor performance in specific areas. Many countries' surveillance systems had inadequate performance in key measures in terms of the core and supportive functions, as well as the attributes of the surveillance system.

CONCLUSION

This review shows significant variations in the performance of public health surveillance systems across countries. Further research is needed to understand underperformance reasons and inform global policymaking for strengthening surveillance systems.

Community interventions for pandemic preparedness: A scoping review of pandemic preparedness lessons from HIV, COVID-19, and other public health emergencies of international concern

Community action is broadly recognised as central to comprehensive and effective system responses to pandemics. However, there is uncertainty about how and where communities can be best supported to bolster long-term resilience and preparedness. We applied a typology of community interventions (Community Informing, Consulting, Involving, Collaborating or Empowering-or CICICE) to cover the diverse range of interventions identified across the literature and used this to structure a scoping review addressing three linked topics: (i) how CICICE interventions have been understood and applied in the literature on epidemic and pandemic preparedness; (ii) the spectrum of interventions that have been implemented to strengthen CICICE and (iii) what evidence is available on their effectiveness in influencing preparedness for current and future emergencies. We drew on peer-reviewed and grey literature from the HIV (from 2000) and COVID-19 pandemics and recent public health emergencies of international concern (from 2008), identified through systematic searches in MEDLINE, Scopus, the Cochrane Collaboration database, supplemented by keyword-structured searches in GoogleScholar and websites of relevant global health organisations. Following screening and extraction, key themes were identified using a combined inductive/deductive approach. 130 papers met the criteria for inclusion. Interventions for preparedness were identified across the spectrum of CICICE. Most work on COVID-19 focused on informing and consulting rather than capacity building and empowerment. The literature on HIV was more likely to report interventions emphasising human rights perspectives and empowerment. There was little robust evidence on the role of CICICE interventions in building preparedness. Evidence of effect was most robust for multi-component interventions for HIV prevention and control. Much of the reporting focused on intermediate outcomes, including measures of health service utilisation. We put forward a series of recommendations to help address evidence shortfalls, including clarifying definitions, organising and stratifying interventions by several parameters and strengthening evaluation methods for CICICE.

Community-based surveillance programme evaluation using the platform Nyss implemented by the Somali Red Crescent Society-a mixed methods approach

BACKGROUND

Somali Red Crescent Society (SRCS), supported by Norwegian Red Cross, has implemented community-based surveillance (CBS) in Somaliland. This methodology aims to reduce the high risk of epidemics by strengthening early warning and response from and at community level, particularly where there is a weak public health surveillance system. CBS is implemented through SRCS community volunteers, who report signals from the community via SMS to the software platform Nyss. This paper presents key findings from the CBS programme evaluation.

METHODS

A retrospective observational mixed-methods approach to evaluate the CBS programme was conducted, using routine CBS data from 2021 for Awdal and Togdheer regions and qualitative interviews with stakeholders' representatives.

RESULTS

The usefulness of the CBS programme in preventing, detecting, and responding to disease outbreaks was acknowledged by the stakeholders' representatives. 83% of the signals in Awdal region matched a Community Case Definition (CCD) and were escalated to the Ministry of Health and Development (MoHD)). For Togdheer region, 97% were escalated. Verification of signals by supervisors and escalation to the authorities was done timely.Alert outcome and response action was not well recorded, therefore there is limited evidence on sensitivity. The programme was shown to be simple and can be flexibly adjusted for new diseases and changing CCDs.Stakeholders appreciated being engaged, the good collaboration, their participation throughout the implementation and expressed high acceptance of the programme.

CONCLUSION

CBS can support early warning and response for a variety of public health risks. Improved documentation for alert outcomes could help to better evaluate the sensitivity of CBS. A participatory approach is vital to achieve successful community volunteer engagement. Software tools, such as the Nyss platform, can be useful to support effective and efficient CBS implementation.

The Transformative Impact of Community-Led Monitoring in the South African Health System: A Comprehensive Analysis

Objectives: Community-led monitoring (CLM) is an emerging approach that empowers local communities to actively participate in data collection and decision-making processes within the health system. The research aimed to explore stakeholder perceptions of CLM data and establish a CLM Data Value Chain, covering data collection and its impact. Methods: Qualitative data were collected from stakeholders engaged in health programs in South Africa. Data analysis involved a collaborative workshop that integrated elements of affinity diagramming, thematic analysis, and the systematic coding process outlined in Giorgi's method. The workshop fostered joint identification, co-creation of knowledge, and collaborative analysis in developing the data value chain. Results: The findings showed that CLM data enabled community-level analysis, fostering program advocacy and local collaboration. It enhanced program redesign, operational efficiency, and rapid response capabilities. Context-specific solutions emerged through the CLM Data Value Chain, promoting sustainable and efficient program implementation. Conclusion: CLM is a powerful tool for improving program implementation, quality, and advocacy in South African healthcare. It strengthens accountability, trust, and transparency by involving local communities in data-driven decision-making. CLM addresses context-specific challenges and tailors interventions to local needs.

Evaluation of a multi-component early warning system for pastoralist populations in Doolo zone, Ethiopia: mixed-methods study

BACKGROUND

This study evaluated an early warning, alert and response system for a crisis-affected population in Doolo zone, Somali Region, Ethiopia, in 2019-2021, with a history of epidemics of outbreak-prone diseases. To adequately cover an area populated by a semi-nomadic pastoralist, or livestock herding, population with sparse access to healthcare facilities, the surveillance system included four components: health facility indicator-based surveillance, community indicator- and event-based surveillance, and alerts from other actors in the area. This evaluation described the usefulness, acceptability, completeness, timeliness, positive predictive value, and representativeness of these components.

METHODS

We carried out a mixed-methods study retrospectively analysing data from the surveillance system February 2019-January 2021 along with key informant interviews with system implementers, and focus group discussions with local communities. Transcripts were analyzed using a mixed deductive and inductive approach. Surveillance quality indicators assessed included completeness, timeliness, and positive predictive value, among others.

RESULTS

1010 signals were analysed; these resulted in 168 verified events, 58 alerts, and 29 responses. Most of the alerts (46/58) and responses (22/29) were initiated through the community event-based branch of the surveillance system. In comparison, one alert and one response was initiated via the community indicator-based branch. Positive predictive value of signals received was about 6%. About 80% of signals were verified within 24 h of reports, and 40% were risk assessed within 48 h. System responses included new mobile clinic sites, measles vaccination catch-ups, and water and sanitation-related interventions. Focus group discussions emphasized that responses generated were an expected return by participant communities for their role in data collection and reporting. Participant communities found the system acceptable when it led to the responses they expected. Some event types, such as those around animal health, led to the community's response expectations not being met.

CONCLUSIONS

Event-based surveillance can produce useful data for localized public health action for pastoralist populations. Improvements could include greater community involvement in the system design and potentially incorporating One Health approaches.

Developing One Health surveillance systems

The health of humans, domestic and wild animals, plants, and the environment are inter-dependent. Global anthropogenic change is a key driver of disease emergence and spread and leads to biodiversity loss and ecosystem function degradation, which are themselves drivers of disease emergence. Pathogen spill-over events and subsequent disease outbreaks, including pandemics, in humans, animals and plants may arise when factors driving disease emergence and spread converge. One Health is an integrated approach that aims to sustainably balance and optimize human, animal and ecosystem health. Conventional disease surveillance has been siloed by sectors, with separate systems addressing the health of humans, domestic animals, cultivated plants, wildlife and the environment. One Health surveillance should include integrated surveillance for known and unknown pathogens, but combined with this more traditional disease-based surveillance, it also must include surveillance of drivers of disease emergence to improve prevention and mitigation of spill-over events. Here, we outline such an approach, including the characteristics and components required to overcome barriers and to optimize an integrated One Health surveillance system.

The importance of community health workers as frontline responders during the COVID-19 pandemic, Somalia, 2020-2021

Introduction

We examined the contribution of community health workers as frontline responders for the community-based surveillance in Somalia during the first year of the COVID-19 pandemic for detection of COVID-19 cases and identification of contacts.

Methods

We retrieved COVID-19 surveillance data from 16 March 2020 to 31 March 2021 from the health ministry's central database. These data were collected through community health workers, health facilities or at the points of entry. We compared the number of suspected COVID-19 cases detected by the three surveillance systems and the proportion that tested positive using the chi-squared test. We used logistic regression analysis to assess association between COVID-19 infection and selected variables.

Results

During the study period, 154,004 suspected cases of COVID-19 were detected and tested, of which 10,182 (6.6%) were positive. Of the notified cases, 32.7% were identified through the community-based surveillance system, 54.0% through the facility-based surveillance system, and 13.2% at points of entry. The positivity rate of cases detected by the community health workers was higher than that among those detected at health facilities (8.6% versus 6.4%; p < 0.001). The community health workers also identified more contacts than those identified through the facility-based surveillance (13,279 versus 1,937; p < 0.001). The odds of COVID-19 detection generally increased by age. Community-based surveillance and health facility-based surveillance had similar odds of detecting COVID-19 cases compared with the points-of-entry surveillance (aOR: 7.0 (95% CI: 6.4, 7.8) and aOR: 7.5 (95% CI: 6.8, 8.3), respectively).

Conclusion

The community health workers proved their value as first responders to COVID-19. They can be effective in countries with weak health systems for targeted community surveillance in rural and remote areas which are not covered by the facility-based surveillance system.

Digital Technologies to Enhance Infectious Disease Surveillance in Tanzania: A Scoping Review

Mobile phones and computer-based applications can speed up disease outbreak detection and control. Hence, it is not surprising that stakeholders in the health sector are becoming more interested in funding these technologies in Tanzania, Africa, where outbreaks occur frequently. The objective of this situational review is, therefore, to summarize available literature on the application of mobile phones and computer-based technologies for infectious disease surveillance in Tanzania and to inform on existing gaps. Four databases were searched-Cumulative Index to Nursing and Allied Health Literature (CINAHL), Excerpta Medica Database (Embase), PubMed, and Scopus-yielding a total of 145 publications. In addition, 26 publications were obtained from the Google search engine. Inclusion and exclusion criteria were met by 35 papers: they described mobile phone-based and computer-based systems designed for infectious disease surveillance in Tanzania, were published in English between 2012 and 2022, and had full texts that could be read online. The publications discussed 13 technologies, of which 8 were for community-based surveillance, 2 were for facility-based surveillance, and 3 combined both forms of surveillance. Most of them were designed for reporting purposes and lacked interoperability features. While undoubtedly useful, the stand-alone character limits their impact on public health surveillance.