Incidence dynamics and investigation of key interventions in a dengue outbreak in Ningbo City, China

Abstract

Background: The reported incidence of dengue fever increased dramatically in recent years in China. This study aimed to investigate and to assess the effectiveness of intervention implemented in a dengue outbreak in Ningbo City, Zhejiang Province, China.

Methods: Data of a dengue outbreak were collected in Ningbo City in China by a field epidemiological survey according to a strict protocol and case definition. Serum specimens of all cases were collected for diagnosis and the virological characteristics were detected by using polymerase chain reaction (PCR) and gene sequencing. Vector surveillance was implemented during the outbreak to collect the larva and adult mosquito densities to calculate the Breteau Index (BI) and human biting rate (HBR), respectively. Data of monthly BI and light-trap density in 2018 were built to calculate the seasonality of the vector. A transmission mathematical model was developed to dynamic the incidence of the disease. The parameters of the model were estimated by the data of the outbreak and vector surveillance data in 2018. The effectiveness of the interventions implemented during the outbreak was assessed by the data and the modelling.

Results: From 11 August to 8 September, 2018, a dengue outbreak was reported with 27 confirmed cases in a population of 5536-people community (community A) of Ningbo City. Whole E gene sequences were obtained from 24 cases and were confirmed as dengue virus type 1 (DENV-1). The transmission source of the outbreak was origin from community B where a dengue case having the same E gene sequence was onset on 30 July. Aedes albopictus was the only vector species in the area. The value of BI and HBR was 57.5 and 12 per person per hour respectively on 18 August, 2018 and decreased dramatically after interventions. The transmission model fitted well (χ2 = 6.324, P = 0.388) with the reported cases data. With no intervention, the total simulated number of the cases would be 1728 with a total attack rate (TAR) of 31.21% (95%CI: 29.99%- 32.43%). Case isolation and larva control (LC) have almost the same TAR and duration of outbreak (DO) as no intervention. Different levels of reducing HBR (rHBR) had different effectiveness with TARs ranging from 1.05% to 31.21% and DOs ranging from 27 days to 102 days. Adult vector control (AVC) had a very low TAR and DO. "LC+AVC" had a similar TAR and DO as that of AVC. "rHBR100%+LC", "rHBR100%+AVC", "rHBR100%+LC+AVC" and "rHBR100%+LC+AVC+Iso" had the same effectiveness.

Conclusions: Without intervention, DENV-1 could be transmitted rapidly within a short period of time and leads to high attack rate in community in China. AVC or rHBR should be recommended as primary interventions to control rapid transmission of the dengue virus at the early stage of an outbreak.

Fig 1. Flowchart of development of the dengue transmission model.

Fig 2. Reported dengue cases from 2005 to 2018 in Ningbo City, China.

Fig 3. Epidemic curve and curve fitting of a dengue outbreak in a community in Ningbo City, China in 2018.

Fig 4. Phylogenetic analysis of E genes of the 25 GENV-1 viruses isolated from 25 patients in a dengue outbreak in Ningbo City, China in 2018.

Fig 5. Curve fitting of adult and larvae surveillance data in Ningbo City, 2017.

A, monthly adult density of the vector; B, monthly Breteau Index.

Fig 6. Curve fitting of BI and HBR data during the dengue outbreak in Ningbo City, 2018.

A, daily Breteau Index (BI); B, daily human biting rate (HBR).

Fig 7. Curve fitting of logistic model and TARs data at different levels of rHBR.