Thursday, July 30, 2026

Critical Reflection on the (Re-)Emergence of Rift Valley Fever

Introduction

Before knowing the driving forces for the emergence and re-emergence of Rift Valley fever (RVF) in Africa, we should know about the disease, transmission cycle, and epidemiology. RVF is a mosquito-borne zoonosis caused by a Phlebovirus of the Bunyaviridae family. The virus affects both livestock and humans, with severe implications for public health, food security, and trade. Most importantly, the virus is carried by more than 53 species of mosquitoes in 8 genera within the family Culicidae in regions of epizootics (Linthicum et al., 2016). Since its first description in Kenya in 1931, RVF has exhibited episodic outbreaks across Africa and occasional expansion into the Arabian Peninsula, highlighting its persistent and dynamic epidemiological profile (Nanyingi et al., 2015; Himeidan et al., 2014). Its transmission involves complex interactions between vectors, hosts, and environmental conditions, making it a quintessential One Health challenge. Based on the literature provided in the study materials, the important driving forces were critically examined and assessed its potential for spread beyond Africa. In addition, it also evaluates current control strategies and identifies key unresolved challenges.

 

The drivers of RVF emergence and re-emergence in Africa are ranked based on the criteria, including 1. Magnitude of impact on outbreak initiation and scale, 2. Strength and consistency of empirical evidence across outbreaks, 3. Geographic and temporal generalizability, and 4. Potential for intervention (modifiability)

1. Climatic and environmental variability (primary driver)

The top-ranked driver for the emergence of RVF from the different literature identifies abnormal rainfall and flooding as the most critical driver of RVF outbreaks. These conditions promote hatching of dormant Aedes mosquito eggs and amplification of vector populations (Linthicum et al., 2016). The massive increased of infected mosquitoes leads to high epizootic potential. In addition, a couple of studies on satellite-based vegetation indices and rainfall anomalies have consistently predicted outbreaks in East Africa (Anyamba et al., 2002). Nanyingi et al. (2015) demonstrate that nearly all major RVF outbreaks correlate with El NiƱo–Southern Oscillation (ENSO) events. Floodwater Aedes species act as primary vectors, initiating transmission cycles, while Culex species amplify epidemics.

The climatic and environmental variability was considered a primary driver because it was the strongest predictive evidence. It is also directly related to outbreak initiation (Bird and McElroy, 2016).

 

2. Livestock dynamics and husbandry practices

Another important driver of the emergence of RVF is livestock dynamics. It plays a central role as an amplification host. The high density of infected mosquitoes amplifies virus activity among the livestock within 6-8 weeks. High-density herds, animal movement, and trade networks facilitate rapid viral spread (Balenghien et al., 2013). Consequently, the intensification of livestock production and transboundary trade increase exposure risks to humans. A review of studies from African countries emphasizes socioeconomic practices such as communal grazing, seasonal migration, and informal markets, which enhance virus dissemination (Muga et al., 2015). Additionally, susceptible livestock populations lacking immunity can trigger explosive outbreaks.

Livestock dynamics is considered another important risk factor since it is essential for epidemic amplification and strongly linked to outbreak severity; however, it can be overcome with strict policy and vaccination of livestock.

 

3. Weak surveillance and health systems

Besides climatic factors and livestock dynamics, the health surveillance system has a direct role in the emergence of RFV. The poor health system is responsible for delayed detection and response that significantly exacerbate RVF outbreaks. Bird and McElroy (2016) highlight gaps in diagnostic capacity, underreporting, and fragmented veterinary-public health coordination as important causes of outbreaks. In addition, limited early warning systems and inadequate integration of animal and human health surveillance delay interventions, allowing outbreaks to expand uncontrolled.

The surveillance health system is critical for outbreak control rather than initiation. The system can be modified and improved; however, it is inconsistently implemented in African countries.

 

Interconnection between the drivers

These drivers operate synergistically rather than independently. The climatic factor amplifies vector proliferation, which ultimately leads to livestock infections. Consequently, the increase in livestock infections spills over to the human population, causing outbreaks. Likewise, weak surveillance delays detection of climate-driven outbreaks. Lastly, livestock movement spreads infection beyond environmentally suitable zones. For example, heavy rainfall may initiate an outbreak, but livestock trade determines its geographic spread, while poor surveillance allows it to escalate.

 

Alternative ranking and counterargument

An alternative perspective places socioeconomic and cultural factors as the primary driver (Muga et al., 2015). Human behavior—such as slaughter practices and consumption of raw animal products—directly influences transmission. Sociocultural factors shape transmission intensity but are less predictive of outbreak initiation.

 

2. Conditions for RVF spread beyond Africa

The conditions for RVF to spread and become established on other continents require three distinct stages, including introduction of virus, local transmission, and establishment.

2.1. Introduction of virus

The introduction of the virus to the human population may be via infected livestock trade (legal or informal) and the movement of infected humans or vectors. The livestock trade is a main cause of the 2000 outbreak in Saudi Arabia and Yemen (Himeidan et al., 2014). The lack of proper regulation and surveillance during trade with endemic regions and weak border security intensifies the introduction of the virus from one region to another or one country to another. International trade plays a crucial role in establishing national animal health policies because it requires countries to maintain and demonstrate high standards of animal health in order to safely import and export animals and animal products.

 

2.2. Local Transmission

Local transmission is directly associated with a competent mosquito population and suitable climatic conditions as mentioned above. The massive increase in infected mosquito spread virus to livestock, and ultimately spills over to humans. Several mosquito genera are capable of RVF transmission (e.g., Aedes, Culex) and are globally distributed (Elliott & Brennan, 2014). Thus, competent mosquito vectors, suitable climatic conditions, and the presence of susceptible hosts are responsible for local transmission of the disease.

 

2.3. Sustained circulation (establishment)

Long-term establishment of the infection requires persistent infected mosquito populations, vertical transmission of virus in mosquitoes and continuous availability of susceptible hosts. Bird and McElroy (2016) note that maintenance mechanisms outside Africa remain uncertain, particularly regarding overwintering of the virus.

 

Are the same drivers relevant outside Africa?

The same drivers may not be entirely relevant outside Africa. Although the climatic factor remains on the top for emergence of RVF, the temperate regions (low temperature range) in many countries may limit vector survival. Likewise, livestock systems differ, often with stronger regulation and biosecurity in other countries playing a role in preventing the spread of the disease. Lastly, stronger surveillance systems are generally reducing outbreak scale, although other factors favor the outbreak. Thus, while climate remains a key driver, trade and biosecurity may become more critical determinants outside Africa.

 

3. Appraisal of current RVF control strategies

3.1 Diagnostics

The diagnostic approaches of RFV not only detect the disease in the early phase but also help to prevent further spread by breaking the transmission chain. Recent advances such as molecular tools (RT-PCR) enable early and rapid detection within a few hours during the incubation phase, while serological assays with a focus on antibody detection identify past exposure and seroprevalence among the livestock and human population. However, the RT-PCR tool is limited in endemic regions, and serology can’t differentiate between active vs past infection (Bird & McElroy, 2016). Although culture is the gold standard method for diagnosis of viral infection, including RVF, only a few reference laboratories have this facility.

 

3.2 Surveillance

Integration of satellite data for early warning (Linthicum et al., 2016) and increasing adoption of One Health surveillance systems are key strengths of the surveillance system. However, underreporting and delayed response may hinder control strategies.

 

3.3 Vaccination

Currently, recommended vaccines (live-attenuated and inactivated vaccines) exist for livestock and humans to control RVF. The new-generation vaccines are under development (Kortekaas, 2014). However, there are a few challenges to using those vaccines. The safety concerns (e.g., teratogenic effects) of new vaccines, their limited availability, and logistical barriers for massive vaccinations are key hurdles in preventive measures of RVF.

3.4 Integrated vector control strategy

Integrated vector control remains key in controlling the spread of infections. Integrated vector control includes the use of insecticides, environmental management to prevent vector breeding, farm sanitation to avoid mosquito bites to livestock, etc. The limitation of vector control is difficulty in sustaining and limited effectiveness during large-scale outbreaks (Balenghien et al., 2013).

 

3.5 Outbreak preparedness and response

The outbreak preparedness and response team recognizes the importance of One Health approaches to timely control of potential outbreaks and immediate management. It also improves forecasting tools. Sometimes, poor coordination between sectors and insufficient funding and infrastructure may be a barrier to the role of the team in control measures.

 

4. Conclusion: Unresolved challenges and priorities

Despite advances, several critical challenges remain in controlling RVF. These are;

i. Predictive uncertainty: Although climate-based models are useful, they cannot fully predict outbreak timing or scale.

ii. Vaccine gaps: Safe, affordable, and widely deployable vaccines remain limited. Many vaccines are under development for livestock and humans. These vaccines are in the clinical trial phases. Development costs and licensing costs are still challenges for veterinary vaccines and human vaccines. Only a combined effort from veterinary vaccines to develop and approve human vaccines can reduce costs and licensing procedures.

iii. Poor surveillance system: Persistent gaps in early detection hinder rapid response. In addition, political influences and lack of a single platform to coordinate between stakeholders remain major obstacles in data sharing and policymaking.

iv. Socioeconomic barriers: Although socioeconomic barriers don’t have a direct role in outbreaks and massive transmission, the cultural practices and economic constraints limit intervention uptake. If such conditions are revealed in an endemic region, it may cause further spread of infections and make control measures difficult.

 

Priority actions

Based on the above information, the following urgent priorities are identified:

  1. We should strengthen integrated One Health surveillance systems that collect data from humans, livestock, and the environment (climate data) for prediction of potential outbreaks.
  2. Secondly, more research should focus on the development of safe and effective livestock vaccination.
  3. Thirdly, the local authorities should focus on an integrated vector control strategy.
  4. Lastly, based on integrated data, we should improve quick data sharing and predictive modeling through interdisciplinary data.  

These actions address both biological and systemic drivers, offering the greatest potential impact.


References

Anyamba A, Linthicum KJ, Mahoney R, Tucker CJ, Kelley PW. 2002. Mapping potential risk of Rift

Valley fever outbreaks in African savannas using vegetation index time series data. Photogramm. Eng. Remote Sens. 68:137–45

Balenghien, T. et al. (2013) ‘Towards a better understanding of Rift Valley fever epidemiology in the south-west of the Indian Ocean’, Veterinary Research, 44(1), pp. 78.

Bird, B.H. and McElroy, A.K. (2016) ‘Rift Valley fever virus: Unanswered questions’, Antiviral Research, 132, pp. 274–280.

Elliott, R.M. and Brennan, B. (2014) ‘Emerging phleboviruses’, Current Opinion in Virology, 5, pp. 50–57.

Himeidan, Y.E. et al. (2014) ‘Recent outbreaks of Rift Valley fever in East Africa and the Middle East’, Frontiers in Public Health, 2, pp. 169.

Kortekaas, J. (2014) ‘One Health approach to Rift Valley fever vaccine development’, Antiviral Research, 106, pp. 24–32.

Linthicum, K.J., Britch, S.C. and Anyamba, A. (2016) ‘Rift Valley Fever: An Emerging Mosquito-Borne Disease’, Annual Review of Entomology, 61, pp. 395–415.

Muga, G.O. et al. (2015) ‘Sociocultural and economic dimensions of Rift Valley fever’, American Journal of Tropical Medicine and Hygiene, 92(4), pp. 730–738.

Nanyingi, M.O. et al. (2015) ‘A systematic review of Rift Valley Fever epidemiology 1931–2014’, 

Bacteria in Photos

Bacteria in Photos