Odinoh Raymond, Dawa Jeanette, Situma Silvia, Nyakarahuka Luke, Lepore Luciana, Vanlerberghe Veerle, Nasimiyu Carolyne, Makiala Sheila, Ifufa Christian, Mukadi Daniel, Viala Herve, Owor Nicholas, Bakamutumaho Barnabas, Ndumu Deo, Masumu Justin, Breiman Robert F, Njenga Kariuki
Washington State University Global Health Program, Nairobi, Kenya.
Center for Epidemiological Modelling and Analysis, University of Nairobi, Nairobi, Kenya.
PLoS One. 2025 Jul 2;20(7):e0327398. doi: 10.1371/journal.pone.0327398. eCollection 2025.
Rift Valley Fever (RVF) has caused several outbreaks across Africa, impacting human health and animal trade. Recent reports indicate sporadic detections of RVF virus among humans and animals in East Africa during inter-epidemic periods. We assessed RVF knowledge levels in East and Central Africa across countries with different epidemiological profiles.
Individuals aged ≥10 years with acute febrile illness were enrolled from six health facilities in Kenya, Uganda, and the Democratic Republic of Congo (DRC). Sociodemographic information was collected, and participants were asked questions regarding their knowledge of RVF transmission, symptoms, prevention, and control. Blood samples were tested for anti-RVF antibodies (IgG and IgM). Knowledge was categorized as absent, basic, or advanced. Descriptive and ordinal logistic regression analysis identified factors associated with RVF knowledge.
Among 4,806 participants (median age 31, IQR 22-44, 57.5% female), only 20.5% had knowledge of RVF (16.4% basic, 4.1% advanced). Knowledge levels varied by country: DRC (3.1%), Uganda (16.1%), and Kenya (42.6%). RVF seropositivity was 10.4% in Uganda, with much lower rates in Kenya (2.0%) and DRC (1.5%). Factors associated with RVF knowledge included age 21-40 years (aOR 2.03; 95%CI 1,55-2.67) and >40 years (aOR 2.51; 95%CI 1.88-3.37), male gender (aOR 1.44; 95%CI 1.20-1.73), profession as a healthcare worker (aOR 5.63; 95%CI 3.48-9.12), residence in Kenya (aOR 26.8; 95%CI 15.8-48.4) or Uganda (aOR 5.43;95%CI 3.19-9.79), completing primary education (aOR 3.89; 95%CI 2.18-7.52) with advanced (postgraduate) education shown to increase knowledge, (aOR 22.8; 95%CI 4.95-18.6). Other factors included presence of livestock within the homes (aOR 1.26; 95%CI 1.01-1.57) and use of methods to prevent mosquito bites (aOR 1.62; 95%CI 1.32-1.98). Animal farmers, butchers, and those with close animal contact showed no association, despite being at-risk populations.
Overall RVF knowledge was low across the study sites, with the highest levels observed in Kenya, moderate levels in Uganda despite greater exposure, and markedly low levels in the DRC. Targeted risk communication is urgently needed for high-risk populations in all regions particularly in Uganda, where elevated exposure contrasts with limited knowledge. Increased awareness is crucial for high-exposure groups in all regions, particularly in Uganda where exposure is higher, but knowledge remains relatively low.
裂谷热(RVF)在非洲多地引发了多次疫情,对人类健康和动物贸易造成了影响。近期报告显示,在疫情间期,东非地区的人和动物中偶尔检测到裂谷热病毒。我们评估了东非和中非不同疫情状况国家的裂谷热知识水平。
从肯尼亚、乌干达和刚果民主共和国(DRC)的六个医疗机构招募年龄≥10岁的急性发热疾病患者。收集社会人口统计学信息,并询问参与者关于裂谷热传播、症状、预防和控制的知识。对血样进行抗裂谷热抗体(IgG和IgM)检测。知识分为无、基础或高级三类。描述性和有序逻辑回归分析确定了与裂谷热知识相关的因素。
在4806名参与者中(中位年龄31岁,四分位间距22 - 44岁,女性占57.5%),只有20.5%的人了解裂谷热(16.4%为基础水平,4.1%为高级水平)。知识水平因国家而异:刚果民主共和国(3.1%)、乌干达(16.1%)和肯尼亚(42.6%)。乌干达的裂谷热血清阳性率为10.4%,肯尼亚(2.0%)和刚果民主共和国(1.5%)的比率则低得多。与裂谷热知识相关的因素包括年龄在21 - 40岁(调整后比值比[aOR] 2.03;95%置信区间[CI] 1.55 - 2.67)和>40岁(aOR 2.51;95%CI 1.88 - 3.37)、男性(aOR 1.44;95%CI 1.20 - 1.73)、医护人员职业(aOR 5.63;95%CI 3.48 - 9.12)、居住在肯尼亚(aOR 26.8;95%CI 15.8 - 48.4)或乌干达(aOR 5.43;95%CI 3.19 - 9.79)、完成小学教育(aOR 3.89;95%CI 2.18 - 7.52),而高等(研究生)教育显示可增加知识(aOR 22.8;95%CI 4.95 - (此处原文有误,应为18.6)18.6)。其他因素包括家中有牲畜(aOR 1.26;95%CI 1.01 - 1.57)以及使用防蚊叮咬方法(aOR 1.62;95%CI 1.32 - 1.98)。动物养殖户、屠夫以及与动物密切接触者尽管属于高危人群,但未显示出相关性。
研究地点的总体裂谷热知识水平较低,肯尼亚的水平最高,乌干达尽管接触机会更多但知识水平中等,刚果民主共和国的水平则极低。所有地区的高危人群,尤其是乌干达,迫切需要有针对性的风险沟通,该国接触机会增加但知识有限。提高所有地区高接触人群的意识至关重要,特别是在乌干达,那里接触机会更高,但知识水平仍然相对较低。