IN A NUTSHELL Author's noteEarly detection is a critical determinant of effective public health emergency response. The 7-1-7 target provides a measurable performance framework: detect a public health threat within 7 days of emergence, notify the responsible public health authority within 1 day of detection, and complete seven early response actions within 7 days of notification. However, delays may occur before health threats reach formal surveillance structures. This conceptual article argues that communities can provide an underused early observation layer for health threat detection and that community health workers (CHWs) can serve as an organized interface between community-level signals and formal surveillance systems. We propose a functional architecture in which CHWs recognize, minimally document, and rapidly communicate unusual health signals, while technical surveillance teams retain responsibility for triage, verification, epidemiological investigation, risk assessment, and response coordination. The proposed architecture deliberately combines high sensitivity at the community interface with rapid downstream triage and progressively increasing specificity. It does not seek to turn CHWs into epidemiologists, decentralize diagnostic or epidemiological functions, or create a parallel surveillance system. Rather, its contribution is architectural: it connects community-based early warning to the temporal performance logic of 7-1-7 and seeks to reduce the distance between the emergence of a health threat and its recognition by the public health system. We conceptualize this arrangement as a « Community 7-1-7 Early Warning Function », integrated into existing surveillance structures and supported by simple operational definitions, training, supervision, reliable communication channels, feedback mechanisms, workload protection, and preparedness exercises. Community proximity may represent an underused operational asset for health security. The proposed model provides a testable framework for integrating community-level signal detection with 7-1-7 performance improvement. Its effectiveness, feasibility, workload implications, and contribution to detection timeliness should be evaluated prospectively in different health-system and epidemiological contexts.
Mobilizing Communities for Early Detection of Health Threats
A Conceptual Role for Community Health Workers in the 7-1-7 Framework
By Issa Barry, MD, MPH
Public Health & Humanitarian Action
By the same Author on PEAH: HERE
Introduction
Public health emergencies begin in places where people live, work, travel, interact with animals, access health services, and experience changes in their environment. The first indication of a potential threat may therefore appear outside formal surveillance structures: a cluster of unusual illness, an unexpected death, an unexplained animal event, an unusual environmental change, or a community perception that something is different from usual. The capacity of health systems to recognize such signals rapidly is a fundamental component of health emergency preparedness.
The 7-1-7 target was developed to translate this principle into measurable performance objectives. It proposes that public health threats should be detected within 7 days of emergence, notified to an appropriate public health authority within 1 day of detection, and followed by completion of seven early response actions within 7 days of notification.[1,2] Importantly, 7-1-7 is not simply a set of retrospective indicators. It is intended as a performance improvement approach through which real-world events can reveal operational bottlenecks and inform corrective action.[1,2]
Evidence from multiple countries illustrates the scale of the challenge. In a retrospective assessment of 41 public health events in Brazil, Ethiopia, Liberia, Nigeria, and Uganda, 22 events (54%) met the 7-day detection target, 29 (71%) met the 1-day notification target, and 20 (49%) completed early response actions within 7 days. Only 11 events (27%) met all three targets.[3] Detection bottlenecks were frequently identified at the health-facility or community level, whereas notification and response bottlenecks were more often located at intermediate public health levels.[3] More recent implementation experience in Uganda similarly showed that only 10 of 42 assessed events (24%) met all three components of the target, while systematic use of 7-1-7 helped identify recurrent bottlenecks and inform preparedness and response improvement.[4]
These findings raise an important question: if delays can occur close to where health threats first become visible, could health systems strengthen their capacity to detect signals by systematically bringing the first point of observation closer to communities?
Community-based surveillance is not a new concept. The World Health Organization Regional Office for Africa has developed specific guidance and training materials for establishing community-based surveillance, including the identification of public health events at community level, simplified case definitions, reporting structures, communication mechanisms, supervision, and feedback.[5,6] Community health workers have subsequently contributed to surveillance and epidemic response in a wide range of low- and middle-income settings.[7]
A recent scoping review of evidence from 25 low- and middle-income countries found that CHWs contribute to surveillance through activities including data collection, screening, reporting, health education, community engagement, and other functions related to epidemic control.[7] At the same time, the review identified persistent constraints involving training, financial and material resources, logistics, infrastructure, workload, and community engagement.[7] Community-based surveillance should therefore not be regarded as inherently effective simply because it is community-based.
The proposition developed in this article is narrower and more specific. It is not that CHWs should simply be added to existing surveillance systems. Rather, their proximity to communities could be deliberately organized as an early observation layer within the 7-1-7 performance architecture.
This distinction is central to the proposed model. Decentralizing the first point of detection does not imply decentralizing diagnostic confirmation, epidemiological investigation, risk assessment, or response decision-making. The proposed approach instead seeks to reduce the distance between the emergence of an unusual event and its recognition by the formal public health system.
The contribution of this article is therefore architectural rather than role-definitional. The role of CHWs in surveillance is already documented. What is proposed here is a functional architecture that explicitly connects community-level signal detection to the temporal performance framework of 7-1-7.
Communities as an Early Observation Layer
Community participation in health security is often discussed in terms of engagement, trust, risk communication, acceptance of public health interventions, and resilience. These functions are essential, but communities can also contribute directly to the generation of information about emerging health threats.
The conceptual advantage of the community is proximity. People living within communities may be among the first to observe changes in patterns of illness, deaths, animal morbidity or mortality, environmental conditions, or social behaviors. This proximity does not mean that community members possess epidemiological expertise. Rather, it means that they occupy a position from which certain signals may become visible before they reach formal surveillance channels.
This principle is already embedded in community-based surveillance guidance. The WHO African Region’s guidance describes community-based surveillance as a mechanism through which trained community informants identify and report events of public health significance.[5] The accompanying training manual provides community-level case definitions, reporting procedures, communication structures, timelines, supervision, and feedback mechanisms.[6]
The existence of such guidance is important because it demonstrates that community-level observation is not a novel institutional concept. What remains less explicitly developed is its integration into a measurable performance framework for early detection.
The 7-1-7 approach creates an opportunity to make this connection. The 7-1-7 Digital Toolkit defines detection as the first recognition of a public health event by any source or system and explicitly allows this to occur within a community, health facility, laboratory, or surveillance system.[1] For event-based surveillance, the first recording of an event may, for example, be made by a community health worker or hotline operator.[1]
This has an important implication: the starting point of the 7-1-7 clock does not necessarily need to be located within a health facility or district surveillance office. It can begin where the signal first becomes visible.
The proposed model builds on this principle by treating the community not merely as an additional reporting source, but as a potentially organized first-mile detection interface.
From Community Engagement to Operational Early Warning
Community engagement is frequently intensified during outbreaks, when authorities need communities to adopt preventive measures, report suspected cases, support contact tracing, or accept public health interventions. However, engagement that begins only after an emergency has been recognized cannot fully address the earliest stage of detection.
Operational community participation therefore needs to be established before emergencies occur. Preparedness should include mechanisms through which communities understand what types of unusual events should be communicated, whom to contact, how information will be transmitted, and what feedback can be expected.
This approach is consistent with the broader evolution of health emergency preparedness. WHO’s health emergency preparedness, response and resilience architecture places collaborative surveillance and community protection among interconnected systems required to prevent, prepare for, detect, respond to, and recover from health emergencies.[8,9] The WHO framework on collaborative surveillance emphasizes the need to strengthen surveillance across diseases and threats, sectors, emergency cycles, and geographical levels, including the use of locally generated information for local decision-making.[9]
The implication is not that all surveillance should be transferred to communities. Rather, surveillance should become more connected across levels, allowing information to move rapidly in both directions.
The same principle is reflected in the WHO’s 2026 guidance on essential functions of community health workforces for public health emergency risk management. The guidance emphasizes that emergencies begin and end in communities and that local and community capacities are therefore critical to effective prevention, detection, and response.[10]
The recently published Emergency Ready Primary Health Care framework further reinforces this direction by positioning emergency readiness within routine primary health care systems and defining interconnected capacities to connect, detect, protect, and treat across national, subnational, facility, and community levels.[11]
Taken together, these developments support a shift from viewing communities solely as recipients of emergency interventions toward recognizing them as potential contributors to the information architecture required for health security.
Community Health Workers as an Interface Between Communities and Surveillance Systems
Community health workers occupy a particularly important position within this proposed architecture because they are embedded within communities while maintaining an operational relationship with the health system.
Their comparative advantage is not that they are better epidemiologists than surveillance officers. It is their proximity, accessibility, familiarity with local conditions, and capacity to communicate in ways that are socially and operationally acceptable within their communities. [7,10] These characteristics make them potentially valuable intermediaries for the rapid capture and transmission of early signals.
The role proposed here is deliberately limited and practical. CHWs would not be expected to diagnose unusual diseases, confirm outbreaks, conduct epidemiological investigations, or independently determine whether an event constitutes a public health emergency. Their role would be to recognize predefined or broadly described unusual signals, document a minimum set of information, and communicate those signals rapidly through an established channel.
This distinction is particularly important in settings where community health workers already carry substantial responsibilities. Evidence from Burkina Faso illustrates both the potential and the constraints of this model. Community-based health workers were expected to recognize suspected epidemic-prone diseases and unusual health events and report them to health professionals. However, their ability to perform these functions was affected by limitations involving training, reporting materials, financial incentives, transport, connectivity, workload, and the availability of personnel.[12]
Proximity alone therefore does not produce effective surveillance. A community-based early warning function requires a functioning interface with the technical surveillance system.
This is consistent with the broader literature on community-based surveillance. Guerra et al. found substantial heterogeneity in how community-based surveillance has been defined and implemented, highlighting the importance of clearly specifying the actors, events, reporting mechanisms, supervision arrangements, and relationships with the formal health system.[13]
The principle can therefore be stated simply: We do not need to make community health workers epidemiologists. We need to give them simple, practical tools that allow them to recognize and communicate potentially important signals.
Connecting Community Detection to the 7-1-7 Framework
The central proposition of this article is to connect community-based early warning explicitly to the temporal performance architecture of 7-1-7.
The proposed sequence is:
Community observation → signal recognition → minimal documentation → rapid alert → technical triage and verification → epidemiological assessment → risk assessment → response coordination.
Within this sequence, the community constitutes an early observation layer, CHWs act as the operational interface, and technical surveillance structures retain responsibility for functions requiring specialized expertise.
This distinction is central to the proposed model: decentralizing the first point of detection does not imply decentralizing diagnostic confirmation, epidemiological investigation, risk assessment, or response decision-making.
The potential contribution of this architecture is therefore to shorten the distance between the emergence of an unusual event and its recognition by the formal public health system.
This is particularly relevant because the 7-1-7 framework treats detection as the first measurable milestone in the response chain. If detection occurs only after an event has reached a health facility or conventional surveillance reporting pathway, the system may already have lost part of the available response time.
Bringing an organized observation function closer to communities could, in principle, reduce this initial delay. However, this remains a hypothesis that requires prospective evaluation.
The proposed architecture is also consistent with the concept of collaborative surveillance. WHO describes collaborative surveillance as a systematic strengthening of capacity and collaboration among diverse stakeholders to enhance public health intelligence and improve evidence for decision-making. [8,9] The proposed community interface can be understood as one component of such a multi-level surveillance architecture rather than as an alternative to it.
Sensitivity, Triage, and the Management of Uncertainty
A community-level early warning system necessarily operates under uncertainty. Signals generated close to the community may be incomplete, imprecise, or ultimately unrelated to a public health threat. This is an inherent characteristic of early warning rather than necessarily a failure of the system.
The key design question is therefore where specificity should be introduced.
At the community interface, the system should prioritize sensitivity: potentially important signals should not be missed simply because community observers lack the information required to make a definitive judgment. Downstream, technical surveillance teams can progressively increase specificity through verification, investigation, laboratory testing where appropriate, epidemiological analysis, and risk assessment.
The proposed architecture can therefore be summarized as:
The optimal threshold for community-level reporting should prioritize early signal capture, provided that downstream triage capacity is sufficiently rapid and robust to manage false-positive signals.
This is not an argument for indiscriminate reporting. Excessive signal generation can overwhelm surveillance teams, create alert fatigue, increase workload, and weaken the credibility of the reporting mechanism. The appropriate balance between sensitivity and specificity must therefore be determined according to the epidemiological context, available resources, communication infrastructure, and capacity of technical teams to process incoming signals.
Evidence from Côte d’Ivoire is particularly instructive in this regard. The country’s community-based surveillance experience demonstrated the feasibility of training CHWs to detect and immediately report priority diseases and unusual health events using a mobile communication platform. [14] At the same time, the experience illustrates why community-generated signals must be linked to mechanisms capable of reviewing and verifying incoming information rather than being treated as confirmed events.
The fundamental principle is therefore functional separation rather than simple decentralization. CHWs detect and communicate; technical teams assess and decide.
Operationalizing a Community 7-1-7 Early Warning Function
We conceptualize this arrangement as a Community 7-1-7 Early Warning Function. The term refers to a proposed operational function, not to an existing WHO or 7-1-7 Alliance institutional structure.
This distinction should remain explicit throughout implementation discussions. The proposal is not to establish a new institutional body competing with existing surveillance structures. Rather, it is to define a function that can be integrated into existing community-based and district surveillance systems.
The proposed function would include four interconnected components.
First, CHWs would receive simple and context-specific operational definitions of unusual signals. These definitions should be sufficiently clear to support recognition without requiring diagnostic expertise. Depending on the context, signals could include unusual clusters of illness, unexpected deaths, unusual neurological or hemorrhagic syndromes, unexplained animal deaths, or other locally relevant events.
Second, reporting channels should be simple, accessible, and reliable. Depending on the context, communication could use mobile applications, SMS, telephone calls, messaging platforms, or existing health-system reporting mechanisms. The technological solution should follow the operational requirement rather than become the objective.
This is particularly important in settings where digital systems are fragmented. Recent qualitative work in the Democratic Republic of the Congo documented the coexistence of formal digital platforms and informal communication tools, including messaging applications, alongside paper-digital double entry, connectivity constraints, infrastructure limitations, and institutional fragmentation. [15] These findings reinforce the importance of designing reporting mechanisms around actual workflows rather than assuming that a new digital platform will automatically improve surveillance.
Third, incoming signals should be connected to a defined technical triage mechanism. The surveillance team responsible should have clear procedures for acknowledging, reviewing, verifying, escalating, or closing signals. A reporting system without a functioning triage mechanism risk becoming a repository of alerts rather than an early warning system.
Fourth, the system should provide feedback to communities and CHWs. Feedback is not merely a motivational intervention. It closes the information loop, strengthens trust, improves learning, and allows reporting actors to understand how their information contributed to public health action.
The proposed function should therefore be embedded within existing district surveillance structures, emergency operations mechanisms, and relevant referral or investigation pathways wherever possible. Its purpose is to strengthen the first mile of detection rather than create another institutional layer.
Preparedness Requirements
A community-based early warning function cannot be improvised during an emergency. Its effectiveness depends on preparedness.
At district level, preparedness should begin with an assessment of existing surveillance capacities, communication channels, human resources, logistical constraints, coordination arrangements, and response resources. This assessment should identify where signals currently originate, how they move through the system, where delays occur, and which actors are responsible for each stage.
This approach is consistent with the 7-1-7 methodology, which emphasizes identifying bottlenecks and enabling factors across the detection, notification, and early response processes and translating these findings into corrective actions. [1,2]
Multidisciplinary teams should then define roles and communication pathways involving surveillance officers, health-care providers, CHWs, laboratories, emergency operations structures, and other relevant sectors. Regular simulation exercises can test whether information moves rapidly from the community to the appropriate technical level and whether the system can translate a signal into verification and action.
Training should extend beyond CHWs themselves. Technical surveillance personnel also need to understand how community-generated information should be interpreted and managed. Similarly, CHWs need to understand what happens after they submit a signal. This shared understanding is essential for creating an integrated system rather than two disconnected levels of surveillance.
Practical barriers must also be addressed. Evidence from Burkina Faso demonstrates that reporting materials, transport, connectivity, training, workload, incentives, and supervision can influence the ability of CHWs to perform surveillance functions effectively. [12] A community-based early warning function should therefore be accompanied by realistic workload assessment, supportive supervision, appropriate communication resources, and mechanisms for maintaining CHW motivation and retention.
Preparedness is not simply a training activity. It is the process of ensuring that people, information, communication channels, responsibilities, and response resources are sufficiently organized before an event occurs.
From Community Signals to Effective Detection
An important conceptual distinction must be made between signal generation and event confirmation.
A community signal should not automatically be equated with a detected outbreak. Instead, it should represent the earliest available indication that an event may warrant technical attention.
This distinction allows the proposed model to accommodate the uncertainty inherent in early warning.
For example, a CHW may observe several people in a community presenting with an unusual syndrome. The CHW does not need to determine whether the cluster represents an outbreak. The responsibility is to recognize that the occurrence differs from the expected pattern, document the available information, and transmit the signal.
The technical surveillance system then determines whether the signal is credible, whether further information is needed, whether an investigation should be initiated, and whether the event meets the criteria for escalation.
This functional separation also helps clarify the meaning of the 7-1-7 detection milestone. The objective is not necessarily to establish definitive diagnosis within seven days of emergence. Rather, the objective is to ensure that a potential public health threat is recognized sufficiently early for the health system to initiate appropriate action.
This interpretation is consistent with the 7-1-7 toolkit, which distinguishes detection from laboratory confirmation and recognizes that laboratory confirmation may itself form part of early response activities.[1]
The model therefore proposes a deliberate redistribution of surveillance effort:
- At the community interface: maximize recognition and rapid transmission of potentially important signals.
- At the technical level: maximize the quality, specificity, and interpretability of
- At the response level: translate validated information into coordinated
The objective is not to make each level perform every function. It is to ensure that the functions are connected without unnecessary delay.
Relevance to African Health Systems
The proposed approach may be particularly relevant in settings where communities are geographically dispersed, access to formal health services is uneven, and health systems depend substantially on community-based health workforces.
The WHO African Region has long promoted community-based surveillance as part of the broader Integrated Disease Surveillance and Response architecture. [5,6] This provides an important institutional foundation for the proposed model.
The Côte d’Ivoire experience illustrates the feasibility of mobilizing CHWs for community-based surveillance. In a project implemented in districts along the Guinea border, CHWs were trained to detect and immediately report priority diseases and unusual health events through a text-messaging platform.[14] This demonstrates that community-level reporting can be operationalized within an existing health system, although it does not by itself establish that such an approach improves 7-1-7 performance.
The convergence between existing community-based surveillance capacity and the country’s recent adoption of 7-1-7 is therefore particularly relevant. In April 2025, the Institut National d’Hygiène Publique and the Ministry of Health formalized the adoption of the 7-1-7 approach in Côte d’Ivoire.[16] This creates a potentially favorable policy environment for testing whether community-based detection can be explicitly connected to 7-1-7 performance improvement.
The proposed model should nevertheless not be presented as uniquely applicable to Côte d’Ivoire. Its broader relevance lies in settings where community health workforces, district surveillance structures, and emergency preparedness systems already coexist but are not necessarily connected through an explicit early detection architecture.
African health systems should therefore seek to move beyond rhetorical commitments to community participation and define concrete functions through which communities contribute to preparedness, detection, response, and recovery.
The objective is not to transfer responsibility for health security to communities. It is to recognize and organize capacities that already exist within them.
Discussion
The central proposition of this article is that the first point of detection should be considered as a strategic design feature of health emergency surveillance systems.
Existing evidence already establishes that CHWs can contribute to surveillance and that community-based surveillance can generate information relevant to early warning. [5-7,12-14] The novelty proposed here therefore does not lie in assigning a surveillance role to CHWs.
It lies in connecting this role explicitly to the temporal performance logic of 7-1-7.
The proposed architecture creates a functional distinction between two layers. The first is a community layer designed to maximize the likelihood that potentially important signals are recognized and transmitted early. The second is a technical layer responsible for progressively increasing the specificity of the information and determining whether and how the health system should respond.
This distinction may help address a recurring tension in community surveillance: early warning systems need to be sensitive enough to avoid missing important events, but surveillance teams also need to avoid being overwhelmed by poorly structured signals.
Rather than attempting to solve this tension at a single level, the proposed model distributes it across the system.
The community interface prioritizes sensitivity. Technical surveillance provides triage and verification. Epidemiological and laboratory functions increase specificity as necessary. Risk assessment determines escalation. Response structures translate validated information into action.
Such architecture is compatible with the systems perspective underlying 7-1-7. The framework does not simply ask whether an outbreak was detected within seven days. It encourages analysis of where delays occurred, what enabled timely action, and which system-level changes could improve future performance. [1-4]
A community-level early warning function could therefore become one of the components assessed during 7-1-7 reviews.
Importantly, this model should not be interpreted as a justification for shifting surveillance responsibilities downward without corresponding resources. The effectiveness of community-based surveillance depends on supervision, training, communication infrastructure, workload protection, feedback, and integration with technical services. [7,12,13]
A poorly supported CHW reporting mechanism could generate additional workload without meaningfully improving health security.
The model also requires attention to trust. Community members are more likely to report unusual events when they understand the purpose of reporting, perceive the system as responsive, and receive appropriate feedback. Conversely, repeated reporting without acknowledgment or visible action could weaken participation over time.
The broader implication is that preparedness should begin before the emergency. Community engagement, reporting pathways, role clarification, supervision, simulation exercises, and technical triage mechanisms should be developed and tested in advance.
When an outbreak occurs, the system should not need to determine for the first time who should report, through which channel, to whom, and what should happen next.
Implications for Implementation
The proposed model has several practical implications for health systems seeking to strengthen early detection.
First, community-level surveillance should be designed as a function within the existing surveillance architecture, not as a parallel programme. Existing CHW structures should be mapped and supported with appropriate policy, training, supervision, and resources as necessary.
Second, signal definitions should be adapted to the epidemiological and social context. Excessively complex definitions may reduce sensitivity, whereas excessively broad definitions may generate an unmanageable number of signals. The appropriate balance should therefore be established locally and periodically reviewed.
Third, the technical triage function should be considered as a core component rather than an afterthought. A sensitive reporting mechanism without adequate verification capacity may increase workload without improving detection performance.
Fourth, feedback should be institutionalized. CHWs and communities should know whether a signal was reviewed, whether further information was required, and, when appropriate, whether action was taken.
Finally, 7-1-7 should be used not only to measure performance after an event but also to identify structural weaknesses during preparedness planning. If recurrent detection delays are associated with the distance between communities and formal surveillance structures, strengthening the first-mile interface could become a specific corrective action.
Implications for Research
The proposed model is testable. Future implementation studies should evaluate whether integrating an organized community-level early warning function into existing surveillance systems changes the timeliness and quality of detection.
A pragmatic evaluation could compare districts with and without such an intervention or compare performance before and after implementation.
Implementation research should also examine whether the value of community-level detection varies according to geographic accessibility, connectivity, health-system organization, and the maturity of district surveillance structures.
The model could also be tested across different epidemiological contexts. Appropriate community signal definitions and triage thresholds are unlikely to be identical for vaccine-preventable diseases, zoonotic events, viral hemorrhagic fevers, respiratory threats, environmental hazards, or chemical events.
A particularly important research question is whether the proposed architecture improves the first component of 7-1-7 without adversely affecting subsequent components. Earlier detection is only valuable if notification and response systems can act on the information received.
Limitations
The article has some limitations.
First, the proposed model is conceptual and has not yet been prospectively evaluated as an integrated component of a 7-1-7 system. Its potential contribution to detection timeliness therefore remains a hypothesis rather than an established effect.
Second, the feasibility of the proposed model will depend on national surveillance architecture, CHW mandates, communication infrastructure, supervision capacity, workload, and the availability of technical personnel able to process incoming signals.
Third, increasing sensitivity at the community level may increase the volume of signals requiring verification. The value of the model therefore depends on the availability of sufficiently rapid and appropriately resourced triage mechanisms. Without such capacity, a highly sensitive upstream system could create alert fatigue rather than improve preparedness.
Conclusion
Health threats do not begin at the surveillance office. They emerge within communities, households, health facilities, workplaces, ecosystems, and other environments where changes may first become visible.
The 7-1-7 framework provides a practical way to ask whether health systems recognize these threats quickly enough, notify the appropriate authorities rapidly enough, and initiate early response actions within the required timeframe.
Existing evidence suggests that important detection bottlenecks can occur close to the community and health-facility interface, while community-based surveillance demonstrates that CHWs can contribute to early warning when adequately supported.
This article proposes a conceptual bridge between these two bodies of work.
A Community 7-1-7 Early Warning Function would position CHWs as an organized interface between community-level observation and technical surveillance. It would prioritize sensitivity at the first point of detection while relying on rapid technical triage and progressively increasing specificity downstream.
It would not create a parallel surveillance system, transfer epidemiological responsibility to CHWs, or replace professional surveillance structures.
Its central proposition is to bring the first point of detection closer to where health threats emerge, while keeping technical verification and response decision-making where the necessary expertise resides.
The value of this proposition ultimately depends on implementation. If communities are equipped with simple tools, CHWs are trained and supported, reporting pathways are functional, technical teams can rapidly triage incoming signals, and feedback is maintained, community proximity may become an operational asset for health security rather than simply a contextual characteristic.
The 7-1-7 framework offers a practical way to test this proposition systematically.
Disclaimer
The proposed framework is conceptual and does not represent an officially endorsed component of the 7-1-7 framework or the position of any institution cited in this article.
References
- 7-1-7 7-1-7 Digital Toolkit: Adopt, Use & Advocate [Internet]. 7-1-7 Alliance; 2026 [cited 2026 Nov 7]. Available from: https://717alliance.org/digital-toolkit/
- World Health Guidance and tools for conducting an early action review (EAR): rapid performance improvement for outbreak detection and response. Geneva: World Health Organization; 2023. WHO reference number: WHO/WPE/HSP/CER/2023.1.
- Bochner AF, Makumbi I, Aderinola O, Abayneh A, Jetoh R, Yemanaberhan RL, et al. Implementation of the 7-1-7 target for detection, notification, and response to public health threats in five countries: a retrospective, observational study. Lancet Glob Health. 2023;11(6):e871-e879. doi:10.1016/S2214-109X(23)00133-X.
- Nakiire L, Bochner AF, Nabatanzi M, Kisakye Kisakye A, Kayiwa J, Lee C, et al. Implementing the 7-1-7 target to improve epidemic preparedness and response in BMJ Glob Health. 2025;10(7):e018207. doi:10.1136/bmjgh-2024-018207.
- World Health Organization Regional Office for Integrated disease surveillance and response in the African Region: a guide for establishing community-based surveillance. Brazzaville: World Health Organization Regional Office for Africa; 2014.
- World Health Organization Regional Office for Integrated Diseases Surveillance and Response in the African Region: Community-based Surveillance (CBS) Training Manual. Brazzaville: World Health Organization Regional Office for Africa; 2015. ISBN: 978-929023298-8.
- Alhassan JAK, Wills O. Public health surveillance through community health workers: a scoping review of evidence from 25 low-income and middle-income countries. BMJ Open. 2024;14(4):e079776. doi:10.1136/bmjopen-2023-079776.
- World Health Organization. Defining collaborative surveillance: a core concept for strengthening the global architecture for health emergency preparedness, response, and resilience (HEPR). Geneva: World Health Organization; 2023. ISBN: 978-92-4-007406-4.
- Archer BN, Abdelmalik P, Cognat S, Grand PE, Mott JA, Pavlin BI, et al. Defining collaborative surveillance to improve decision making for public health emergencies and beyond. Lancet. 2023;401(10391):1831-1834. doi:10.1016/S0140-6736(23)01009-7.
- World Health Organization Regional Office for South-East Asia. Essential functions of community health workforces for public health emergency risk management: consolidated guidance on suggested roles, tasks and competencies across the emergency risk management cycle. New Delhi: World Health Organization Regional Office for South-East Asia; 2026. ISBN: 978-92-9-280013-0.
- World Health Organization; Resolve to Save Lives. Emergency ready primary health care framework. Geneva: World Health Organization; 2026. WHO reference number: B09750.
- Sanou H, Korbéogo G, Meyrowitsch DW, Samuelsen H. How community-based health workers fulfil their roles in epidemic disease surveillance: a case study from Burkina Faso. BMC Health Serv Res. 2024;24:1372. doi:10.1186/s12913-024-11853-9.
- Guerra J, Acharya P, Barnadas C. Community-based surveillance: a scoping PLoS One. 2019;14(4):e0215278. doi:10.1371/journal.pone.0215278.
- Clara A, Ndiaye SM, Joseph B, Nzogu MA, Coulibaly D, Alroy KA, et al. Community-Based Surveillance in Côte d’Ivoire. Health Secur. 2020;18(S1):S23-S33. doi:10.1089/hs.2019.0062.
- Basivikidi H, Lambuku L, Kayembe D, Benis A, Bompangue D. Operationalizing One Digital Health and FAIR Data Principles for Disease Surveillance in a Low-Medium Income Country in Africa: Qualitative Study in the Democratic Republic of the Congo. JMIR Med Inform. 2026;14:e93321. doi:10.2196/93321.
- Institut National d’Hygiène Publique, Côte d’Ivoire. Gestion de crise sanitaire selon l’approche Seven One Seven [Internet]. Abidjan: INHP; 2025 Apr 10 [cited 2026 Nov 7]. Available from: https://www.inhp.ci/actualites/gestion-de-crise-sanitaire-selon-lapproche-seven-one-seven