Division of High-Consequence Pathogens and Pathology, National Center for Emerging and Zoonotic Infectious Diseases, U.S. Centers for Disease Control and Prevention, Atlanta, Georgia.
U.S. Centers for Disease Control and Prevention, Kinshasa, Democratic Republic of Congo.
Am J Trop Med Hyg. 2024 Feb 6;110(3):561-568. doi: 10.4269/ajtmh.23-0215. Print 2024 Mar 6.
Incidence of human monkeypox (mpox) has been increasing in West and Central Africa, including in the Democratic Republic of Congo (DRC), where monkeypox virus (MPXV) is endemic. Most estimates of the pathogen's transmissibility in the DRC are based on data from the 1980s. Amid the global 2022 mpox outbreak, new estimates are needed to characterize the virus' epidemic potential and inform outbreak control strategies. We used the R package vimes to identify clusters of laboratory-confirmed mpox cases in Tshuapa Province, DRC. Cases with both temporal and spatial data were assigned to clusters based on the disease's serial interval and spatial kernel. We used the size of the clusters to infer the effective reproduction number, Rt, and the rate of zoonotic spillover of MPXV into the human population. Out of 1,463 confirmed mpox cases reported in Tshuapa Province between 2013 and 2017, 878 had both date of symptom onset and a location with geographic coordinates. Results include an estimated Rt of 0.82 (95% CI: 0.79-0.85) and a rate of 132 (95% CI: 122-143) spillovers per year assuming a reporting rate of 25%. This estimate of Rt is larger than most previous estimates. One potential explanation for this result is that Rt could have increased in the DRC over time owing to declining population-level immunity conferred by smallpox vaccination, which was discontinued around 1982. Rt could be overestimated if our assumption of one spillover event per cluster does not hold. Our results are consistent with increased transmissibility of MPXV in Tshuapa Province.
人感染猴痘(mpox)的发病率在西非和中非不断上升,包括在刚果民主共和国(DRC),那里是猴痘病毒(MPXV)的地方性流行地区。对该病原体在 DRC 传染性的大多数估计都是基于 20 世纪 80 年代的数据。在全球 2022 年 mpox 爆发期间,需要新的估计来描述病毒的流行潜力并为暴发控制策略提供信息。我们使用 R 包 vimes 来识别 Tshuapa 省实验室确诊的猴痘病例集群。根据疾病的连续间隔和空间核,将具有时间和空间数据的病例分配到集群中。我们使用集群的大小来推断有效繁殖数 Rt 和 MPXV 向人类种群中溢出的速率。在 2013 年至 2017 年期间报告的 Tshuapa 省 1463 例确诊的猴痘病例中,有 878 例既有症状发作日期又有地理位置的地理坐标。结果包括估计的 Rt 为 0.82(95%CI:0.79-0.85)和每年 132(95%CI:122-143)的溢出率,假设报告率为 25%。这个 Rt 的估计值大于大多数以前的估计值。造成这种结果的一个潜在解释是,由于 1982 年左右停止的天花疫苗接种导致人群免疫力下降,Rt 可能随着时间的推移在 DRC 中有所增加。如果我们假设每个集群只有一次溢出事件的假设不成立,Rt 可能会被高估。我们的结果与 Tshuapa 省 MPXV 传染性增加一致。