Perspective | Open Access | Volume 9 (4): Article  166 | Published: 17 Oct 2026

Beyond EYE 2026: Rethinking yellow fever elimination for a changing risk landscape

Mark Anum Nortey1,2,&, Chizaram Anselm Onyeaghala3, Abdullahi Hassan4, Christopher Yao Tsikata5, Ebuka Louis Anyamene6,7, Alpha Umaru Bai-Sesay8,9

1Department of Social and Behavioural Sciences, School of Public Health, University of Ghana, Accra, Ghana, 2African Institute for Global Health Advocacy and Sustainable Development (AISGHAD), Accra, Ghana, 3Department of Internal Medicine, University of Port Harcourt Teaching Hospital, Port Harcourt, Nigeria, 4Scientific Research Unit, Federal Medical Centre, Keffi, Nigeria, 5Department of Biochemistry, Cell and Molecular Biology, University of Ghana, Accra, Ghana, 6College of Medicine, University of Nigeria, Enugu, Nigeria,  7Medix Frontiers, University of Nigeria Enugu Campus, Enugu, Nigeria, 8Ministry of Health/National Public Health Agency, Freetown, Sierra Leone, 9Research and Scientific Division, Sustainable Health Systems, Freetown, Sierra Leone

&Corresponding author: Mark Anum Nortey, Department of Social and Behavioural Sciences, School of Public Health, University of Ghana, Accra, Ghana, Email: markanum07@gmail.com, ORCID: https://orcid.org/0009-0002-4156-3996

Received: 21 Aug 2026, Accepted: 17 Oct 2026, Published: 17 Oct 2026

Domain: Infectious Disease  Epidemiology

Keywords: Yellow fever, EYE Strategy, epidemic preparedness, immunization, surveillance, One Health, Africa

©Mark Anum Nortey et al. Journal of Interventional Epidemiology and Public Health (ISSN: 2664-2824). This is an Open Access article distributed under the terms of the Creative Commons Attribution International 4.0 License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Cite this article: Mark Anum Nortey et al., Beyond EYE 2026: Rethinking yellow fever elimination for a changing risk landscape. Journal of Interventional Epidemiology and Public Health. 2026; 9(4):166. https://doi.org/10.37432/jieph-d-26-00327

Abstract

As the Eliminate Yellow Fever Epidemics (EYE) Strategy reaches the end of its 2017–2026 implementation period, substantial gains have been achieved in vaccination, vaccine availability, laboratory capacity and outbreak response. Yet yellow fever transmission persists in Africa, alongside immunity gaps, surveillance limitations, changing vector ecology and recurrent threats to vulnerable populations. We argue that the post-2026 agenda should not simply extend EYE in its current form. Rather, yellow fever control should evolve toward an adaptive preparedness architecture that maintains population immunity, continuously reassesses risk, integrates human, vector, animal and environmental surveillance, anticipates outbreaks, and embeds yellow fever functions within resilient national health systems. The strategic challenge after 2026 is therefore not only how rapidly outbreaks can be contained, but how effectively countries can identify and address changing vulnerabilities while maintaining capacity for rapid outbreak detection and response.

Perspective

The Eliminate Yellow Fever Epidemics (EYE) Strategy was developed following the 2016 outbreaks in Angola and the Democratic Republic of the Congo, which exposed the potential for urban amplification, vaccine shortages and international spread of yellow fever[1]. Its three strategic objectives: to protect at-risk populations, prevent international spread and rapidly contain outbreaks; have guided investments in preventive vaccination, routine immunization, vaccine supply, laboratory capacity, surveillance and outbreak response[1,2].

These investments have produced substantial gains. By the end of 2023, approximately 377 million people in high-risk African countries had been vaccinated, vaccine supply for Gavi-eligible countries had increased considerably, and a six-million-dose global emergency stockpile had been maintained [3]. Regional laboratory capacity also expanded, with diagnostic capacity established across most high-risk countries [3]. More recent EYE implementation tools continue to emphasize population immunity, case detection and investigation, outbreak response and prevention of international spread [4].

Yet these achievements coexist with persistent transmission. Yellow fever cases and outbreaks continued across Africa in 2024 and 2025,[5] and transmission remained active in 2026. WHO reported confirmed cases in Burkina Faso, Cameroon and the Central African Republic during the first five months of 2026, with suspected cases under investigation in several other African countries[6]. Average yellow fever vaccination coverage across the African Region was only about 65% in 2024 [6].

The central question at the end of EYE is therefore not whether the strategy generated progress – it clearly did – but whether the architecture that delivered that progress is sufficient for the risk environment that now exists. We argue that the post-2026 agenda should evolve from a largely campaign-, detection- and response-oriented elimination programme toward an adaptive preparedness architecture that continuously manages population immunity, ecological risk, human mobility, surveillance and health-system resilience.

From campaign success to sustained population immunity
Vaccination remains the most effective intervention against yellow fever, and preventive mass vaccination campaigns were indispensable to EYE. However, people reached through campaigns should not be equated automatically with durable population protection. At mid-term, only 22% of African high-risk countries had achieved at least 80% routine yellow fever vaccination coverage, while only 43% of assessed high-risk areas achieved at least 80% coverage through completed campaigns [2]. By 2022, only four of 27 high-risk African countries had routine yellow fever vaccination coverage of at least 80%[3].

These gaps indicate a necessary transition from periodic campaign achievement to continuous management of population immunity. Importantly, WHO concluded that suboptimal yellow fever coverage increasingly reflected weaknesses in routine immunization and broader health-system performance rather than problems unique to yellow fever vaccination [2]. National evidence reinforces the heterogeneity hidden by aggregate coverage. Analysis of Nigerian surveillance data identified age, occupation, recent travel, ecological setting and uncertain vaccination status among factors associated with yellow fever virus positivity[7]. A recent systematic review similarly identified vaccination gaps, limited healthcare access among mobile populations, weak surveillance and urbanization among recurring drivers of yellow fever re-emergence in Africa[8].

Post-2026 planning should therefore connect routine immunization, catch-up vaccination, subnational immunity-gap analysis and targeted strategies for zero-dose, mobile and hard-to-reach populations. Preventive campaigns should remain available where needed, but success should increasingly mean sustained immunity in populations at greatest risk rather than cumulative numbers vaccinated. Sustaining population immunity will also require attention to vaccine confidence and acceptance. Recent evidence from Ghanaian nomadic communities identified insufficient information, concerns about vaccine safety and side effects, fear of allergic reactions, distrust of health services and doubts about vaccine effectiveness among reported barriers or concerns surrounding yellow fever vaccination [9]. Post-2026 strategies should therefore complement vaccine delivery with context-specific risk communication and community engagement, particularly among populations with persistent immunity gaps.

From static risk classification to dynamic risk intelligence
EYE was designed as a risk-based strategy, but yellow fever risk is increasingly dynamic. The WHO mid-term evaluation noted that the countries prioritized by EYE remained largely unchanged during the first six years despite changing vector distributions, climate conditions, population movement and outbreak patterns[2]. It consequently recommended more frequent subnational risk assessment and reconsideration of countries classified outside the highest-risk group.

Recent African evidence supports this shift. Climatic and ecological characteristics were independently associated with yellow fever virus positivity in Nigeria, while occupational exposure and recent travel were also relevant[7]. Climate-sensitive modelling has demonstrated that future yellow fever burden is likely to change unevenly across Africa as temperature and rainfall alter transmission suitability[10]. The continuing expansion of Aedes mosquitoes, rapid urbanization, land-use change, insecurity and population displacement further challenge the assumption that future risk will reproduce historical patterns [6,8].

Population mobility also requires more sophisticated treatment than formal border controls alone. Population-connectivity mapping at the Tanzania-Kenya and Tanzania-Uganda interfaces identified networks associated with trade, pastoralism, fishing, tourism, health-seeking, agriculture, education and cross-border marriage, and these findings were subsequently used to strengthen surveillance and vaccination planning[11].

We therefore propose a shift toward dynamic risk intelligence. Under this proposed post-EYE framework, vaccination coverage and reported cases would be considered alongside vector distribution, rainfall and temperature, land-use change, mobility, urban expansion, conflict and health-system capacity. Rather than assuming that these indicators can reliably predict outbreaks, their integration could support more frequent subnational risk assessment and help identify settings in which vulnerability may be increasing. Translating this risk intelligence into timely action, however, depends on surveillance systems capable of detecting and investigating emerging signals.

From yellow fever surveillance to integrated epidemic intelligence
EYE made important investments in diagnostics and surveillance, but persistent bottlenecks remain between clinical suspicion, specimen collection, transport, confirmation and action [2]. Recent evidence from Ghana illustrates the distinction between having a surveillance system and having a sufficiently responsive one. Between 2018 and 2022, 93% of suspected yellow fever specimens were collected within 14 days of symptom onset, yet only 41% reached the national reference laboratory within three days of collection [12]. Geographic differences in transport times were substantial, particularly for more remote areas.

Yellow fever surveillance after 2026 should therefore evolve beyond strengthening individual stages of pathogen-specific surveillance toward integrated epidemic intelligence. This direction is increasingly consistent with the WHO Global Arbovirus Initiative, which emphasizes risk anticipation, epidemic prevention, vector control, preparedness, innovation and coordinated action across arboviruses [13]. WHO’s global assessment of arbovirus surveillance capacity also found that many resource-constrained settings lack systems capable of reliably detecting transmission even where competent vectors are present [14].

This is particularly relevant because yellow fever shares vectors, ecological drivers and overlapping clinical presentations with other arboviruses [13,15].  Recent analyses argue that yellow fever is increasingly situated within a wider arbovirus-risk landscape shaped by climate change, urbanization and mobility [16]. WHO has similarly moved toward integrated clinical guidance for yellow fever, dengue, chikungunya and Zika [15]. Variation in the clinical presentation and severity of yellow fever also has implications for surveillance and outbreak detection. Early illness may be clinically non-specific, while a proportion of patients progress to severe disease characterized by jaundice, organ dysfunction and haemorrhagic manifestations. Clinical overlap with other febrile and arboviral illnesses may complicate recognition, particularly where access to laboratory confirmation is limited [15].  Post-EYE strategies should therefore strengthen frontline clinical recognition, differential diagnosis and timely referral for laboratory investigation as part of integrated surveillance.

For Africa, this suggests linking human surveillance with entomological, environmental and, where feasible, non-human-primate surveillance. A proposed One Health model for Uganda illustrates how human, animal and environmental information can be brought together for yellow fever prevention,[17] while experience from non-human-primate surveillance demonstrates the potential of epizootic signals to provide earlier warning of human risk [18]. Such integrated intelligence would be most valuable if it informs action before human transmission escalates.

From reactive containment to anticipatory preparedness
Rapid containment was appropriately central to EYE. However, its experience also demonstrates the limitations of relying on detection of human transmission as the primary trigger for mobilization. The EYE monitoring framework targeted initiation of reactive vaccination campaigns within 86 days of symptom onset in the first case, yet only half of outbreaks met this benchmark in 2021[19].  Delays occurred across case detection, specimen transport, diagnostic confirmation and administrative processes for initiating reactive vaccination campaigns [19].

The post-2026 objective should therefore extend beyond rapid response toward anticipatory preparedness. WHO’s 2026 risk assessment already recognizes the interaction among rainfall, temperature, mosquito ecology, population immunity and mobility in determining current risk [6]. Climate modelling and population-connectivity information offer opportunities to identify changes in vulnerability that can inform anticipatory preparedness [10,11].

Anticipatory preparedness could use such signals to trigger subnational risk assessment, targeted vaccination, intensified vector surveillance, community engagement and readiness planning [20]. This would not replace outbreak response; rather, it would reduce the frequency with which emergency response becomes the first substantial intervention. Sustaining such preparedness, however, requires these capacities to be institutionalized and financed within national health systems.

From an externally supported programme to resilient national architecture
The sustainability question may be the most consequential challenge after 2026. The EYE mid-term evaluation found no substantial framework for sustaining achievements beyond the strategy period, continued dependence on external financing and limited national resource-mobilization planning [2]. The African regional progress report subsequently continued to identify financing constraints, weak health systems and limited country ownership among major implementation challenges [3].

Recent commentary has therefore cautioned against allowing the conclusion of EYE to create a financing and coordination vacuum and has advocated greater integration of yellow fever activities into primary health care, routine immunization, laboratory networks and domestic health financing [21]. We agree with that direction but argue that integration should go further: it should become the organizing principle of the successor architecture rather than a mechanism for preserving a vertical yellow fever programme.

Routine vaccination should sit within national immunization systems; diagnostic capacity within integrated laboratory networks; yellow fever surveillance within broader epidemic and arbovirus intelligence; mobility within cross-border preparedness; and vector and ecological surveillance within multisectoral One Health structures. This direction is already compatible with the Global Arbovirus Initiative and Immunization Agenda 2030 and provides a pathway for using limited resources across overlapping epidemic threats [4,13].

Equity should similarly become measurable rather than aspirational. The EYE evaluation found limited explicit attention to gender, equity and human rights in its strategy and monitoring framework and no systematic requirement for disaggregated indicators among groups at elevated risk [2]. The successor framework should therefore routinely identify who remains unprotected, where immunity gaps persist, why populations are repeatedly missed and whether emerging environmental or social changes are concentrating risk in particular communities.

Rethinking what counts as success
A redesigned architecture also requires a different measurement framework. The EYE experience showed the value of measurable targets but also exposed limitations arising from missing baselines, ambitious targets, limited disaggregation and inconsistent trend reporting [2]. Post 2026 monitoring should therefore balance programme outputs with measures of resilience.

Vaccination indicators should capture not only doses delivered but sustained subnational immunity and persistent zero-dose pockets. Surveillance indicators should measure the entire pathway from community detection to laboratory confirmation and action. Risk-assessment indicators should document how frequently epidemiological, climatic, vector and mobility data alter programme decisions. Equity indicators should identify population groups repeatedly missed by vaccination and surveillance. Sustainability indicators should track domestic financing, workforce capacity and integration of yellow fever functions into existing national systems. The purpose of such measurement would not be to create a larger dashboard. It would be to ensure that apparent national progress cannot conceal subnational vulnerability.

Conclusion

EYE should be recognized as a major global health effort that expanded vaccination, stabilized vaccine availability and strengthened yellow fever diagnostics and outbreak response. Its endpoint in 2026 should not be interpreted as evidence that its model failed. Rather, persistent transmission demonstrates that the context in which elimination must now be pursued has evolved.

The next phase should therefore move beyond simply extending a time-limited elimination strategy. We propose an adaptive preparedness architecture built around sustained population immunity, dynamic risk intelligence, integrated arbovirus and One Health surveillance, anticipatory action, measurable equity and resilient national systems. In practical terms, countries should institutionalize periodic subnational immunity and risk assessments, strengthen routine immunization and targeted catch-up vaccination for populations with persistent immunity gaps, integrate yellow fever surveillance with existing laboratory and arbovirus surveillance systems, and strengthen domestic financing, workforce capacity and accountability for essential yellow fever functions. These priorities should be embedded within existing national immunization and surveillance systems rather than creating parallel structures. The strategic question after 2026 is no longer only how quickly the world can respond to the next yellow fever outbreak, but how effectively it can identify and address changing vulnerabilities while maintaining capacity for rapid outbreak detection and response.

Competing interest

The authors of this work declare no competing interests.

Funding

The authors did not receive any specific funding for this work.

Authors’ contributions

Conceptualization:Mark Anum Nortey, Chizaram Anselm Onyeaghala, Christopher Yao Tsikata, Alpha Umaru Bai-Sesay
Formal Analysis: Mark Anum Nortey, Chizaram Anselm Onyeaghala, Christopher Yao Tsikata, Alpha Umaru Bai-Sesay
Writing – Original Draft: Mark Anum Nortey, Chizaram Anselm Onyeaghala,  Ebuka Louis Anyamene, Alpha Umaru Bai-Sesay
Writing – Review & Editing: Mark Anum Nortey, Chizaram Anselm Onyeaghala, Abdullahi Hassan, Ebuka Louis Anyamene, Alpha Umaru Bai-Sesay

 

References

  1. World Health Organization. A global strategy to eliminate yellow fever epidemics 2017-2026 [Internet]. Geneva (Switzerland): World Health Organization; 2018 [cited 2026 Oct 17]. 54 p. Available from: https://apps.who.int/iris/bitstream/handle/10665/272408/9789241513661-eng.pdf?ua=1
  2. World Health Organization. Mid-term evaluation of the Global Strategy to Eliminate Yellow Fever Epidemics (EYE) 2017-2026 [Internet]. Geneva (Switzerland): World Health Organization; 2023 Oct 23 [cited 2026 Oct 17]. 158 p. Available from: https://www.who.int/publications/i/item/WHO-DGO-EVL-2023.1
  3. World Health Organization. Progress report on the Regional Framework for implementing the Global Strategy to Eliminate Yellow Fever Epidemics (EYE), 2017-2026 in the African Region [Internet]. Geneva (Switzerland): World Health Organization; 2024 Jul 13 [cited 2026 Oct 17]. 10 p. Available from: https://www.afro.who.int/sites/default/files/2024-07/AFR-RC74-INF-DOC
  4. World Health Organization. Eliminate yellow fever epidemics (EYE) strategy country toolkit [Internet]. Geneva (Switzerland): World Health Organization; 2024 [cited 2026 Oct 17]. 90 p. Available from: https://www.who.int/publications/b/75210
  5. World Health Organization. Epidemiological situation of yellow fever in Africa; 2024-2025 [Internet]. Geneva (Switzerland): World Health Organization; 2025 Jun [cited 2026 Oct 17]. 11 p. Available from: https://cdn.who.int/media/docs/default-source/crs-crr/yf-epidemiologic-situation-in-africa-2024-2025_final.pdf?sfvrsn=866073fe_1
  6. World Health Organization. Yellow fever – Global [Internet]. Geneva (Switzerland): World Health Organization; 2026 Jun 24 [cited 2026 Oct 17]. [about 10 screens]. Available from: https://www.who.int/emergencies/disease-outbreak-news/item/2026-DON610
  7. Akar SE, Nwachukwu W, Adewuyi OS, Ahumibe AA, Akanimo I, Okunromade O, Babatunde O, Ihekweazu C, Hitachi M, Kato K, Takamatsu Y, Hirayama K, Kaneko S. Epidemiology of yellow fever in Nigeria: analysis of climatic, ecological, socio-demographic, and clinical factors associated with viral positivity among suspected cases using national surveillance data, 2017-2023. J Epidemiol Glob Health [Internet]. 2025 Jan 20 [cited 2026 Oct 17];15(1):2. doi:10.1007/s44197-025-00341-w
  8. Ayanwale S, Suleiman A, Idumah G, William N, Hernandez-Triana LM, Johnson N, Cadmus S. A systematic narrative review of risk drivers of yellow fever reemergence in Africa from 1974 to 2025. Discov Public Health [Internet]. 2026 May 6 [cited 2026 Oct 17];23(1):664. doi:10.1186/s12982-026-01939-6
  9. Inusah AW, Tahiru MM, Gbeti C, Dzomeku P, Head M, Ziblim SD. Yellow fever vaccination coverage among nomadic populations in the Savannah Region, Ghana: a cross-sectional study following an outbreak. Pan Afr Med J [Internet]. 2026 Jan 16 [cited 2026 Oct 17];53:24. doi:10.11604/pamj.2026.53.24.49809
  10. Gaythorpe KA, Hamlet A, Cibrelus L, Garske T, Ferguson NM. The effect of climate change on yellow fever disease burden in Africa. eLife [Internet]. 2020 Jul 28 [cited 2026 Oct 17];9:e55619. doi:10.7554/eLife.55619
  11. Kakulu RK, Msuya MM, Makora SH, Lucas AM, Kapinga JV, Mwangoka NK, Mehta K, McIntyre E, Boos A, Lamb GS, Mponela M, Gatei W, Merrill R, Ward S, Seleman A, Massa K, Kimaro EG, Mpolya EA. Characterization of population connectivity for enhanced cross-border surveillance of yellow fever at Mutukula and Namanga borders in Tanzania. IJID Reg [Internet]. 2024 Oct 24 [cited 2026 Oct 17];13:100476. doi:10.1016/j.ijregi.2024.100476
  12. Judson SD, Schroeder L, Asiedu-Bekoe F, Laryea DO, Boateng G, Gudjinu H, Ossom R, Danquah JF, Dowdy DW, Kenu E. Timeliness of yellow fever specimen collection and transport in Ghana, 2018-2022. medRxiv [Preprint]. 2025 Jun 20 [cited 2026 Oct 17]:2025.06.19.25329877. doi:10.1101/2025.06.19.25329877
  13. World Health Organization. Global arbovirus initiative: preparing for the next pandemic by tackling mosquito-borne viruses with epidemic and pandemic potential [Internet]. Geneva (Switzerland): World Health Organization; 2025 May 13 [cited 2026 Oct 17]. 12 p. Available from: https://www.who.int/publications/i/item/9789240088948
  14. World Health Organization. Report on the global arbovirus surveillance and response capacity survey 2021-2022 [Internet]. Geneva (Switzerland): World Health Organization; 2025 Mar 27 [cited 2026 Oct 17]. 52 p. Available from: https://iris.who.int/bitstream/handle/10665/380797/9789240107380-eng.pdf?sequence=1
  15. World Health Organization. WHO guidelines for clinical management of arboviral diseases: dengue, chikungunya, Zika and yellow fever [Internet]. Geneva (Switzerland): World Health Organization; 2025 Jul 4 [cited 2026 Oct 17]. 125 p. Available from: https://www.who.int/publications/i/item/9789240111110
  16. Petersen E, Valdoleiros SR, McCloskey B, Traore T, Sharma A, Azhar EI, Zumla A. Yellow fever across Africa, the Middle East, and Asia: new vaccines and closing the preparedness gap. Int J Infect Dis [Internet]. 2026 Aug [cited 2026 Oct 17];169:108768. doi:10.1016/j.ijid.2026.108768
  17. Mensah EA, Gyasi SO, Nsubuga F, Alali WQ. A proposed One Health approach to control yellow fever outbreaks in Uganda. One Health Outlook [Internet]. 2024 May 23 [cited 2026 Oct 17];6(1):9. doi:10.1186/s42522-024-00103-x
  18. Nederlof RA, Virgilio T, Stemkens HJJ, Pereira da Silva LCC, Montagna DR, Abdussamad AM, Chipangura J, Bakker J. Yellow fever in non-human primates: a veterinary guide from a One Health perspective. Vet Sci [Internet]. 2025 Apr 6 [cited 2026 Oct 17];12(4):339. doi:10.3390/vetsci12040339
  19. World Health Organization. Mid-term evaluation of the Global Strategy to Eliminate Yellow Fever Epidemics (EYE) 2017-2026 [Internet]. Geneva (Switzerland): World Health Organization; 2023 Oct 27 [cited 2026 Oct 17]. 158 p. Available from: https://www.who.int/publications/i/item/WHO-DGO-EVL-2023.1
  20. World Health Organization. Risk communication and community engagement readiness and response toolkit: yellow fever [Internet]. Geneva (Switzerland): World Health Organization; 2024 Mar 13 [cited 2026 Oct 17]. 51 p. Available from: https://www.who.int/publications/i/item/9789240090064
  21. Iwu-Jaja C, Jaca A, Iwu CD, Katoto PDMC, Wiysonge CS. Beyond 2026: preventing the collapse of yellow fever elimination in Africa. Lancet Reg Health Afr [Internet]. 2026 Jun 3 [cited 2026 Oct 17]:100081. doi:10.1016/j.lanafr.2026.100081
Views: 230