Epidemiological characteristics and transmission dynamics of dengue in Ningbo City, China before, during, and after the COVID-19 pandemic interventions

BACKGROUND: Ningbo experienced a local dengue outbreak in 2018-2019, followed by the implementation and relaxation of COVID-19 pandemic interventions. Evidence has been limited on dengue epidemiology and the transmissibility across these periods. METHODS: We analyzed routine dengue cases and mosquito surveillance data from 2017 to 2024, using descriptive analyses to assess the epidemiological characteristics, and a mathematical model was developed to estimate the basic reproduction number (R0). RESULTS: A total of 266 dengue cases were reported, with no deaths. Before the pandemic interventions, 51.19% of cases were overseas-imported; no cases were reported during pandemic interventions, whereas 73.47% were domestically imported after pandemic interventions. The median age of cases was 38.50 years (IQR = 31.25-54.00), and 57.52% were unemployed, retired, or in commercial services. The onset-to-diagnosis interval shortened post-interventions (4.46 days vs. 2.67 days). Viral typing increased post-interventions (34.59% vs. 63.27%), with 83.70% of cases identified as dengue virus-1 infections. Dengue cases were reported across all districts, with higher proportions in Haishu (27.07%) and Yinzhou (24.44%). The incidence was 2.82 per 100,000 persons. Incidence did not differ significantly by sex, but was significantly higher among individuals 15-59 years and those aged ≥60years than among those aged ≤14 years (3.18 and 3.01 per 100,000 persons, respectively, vs. 0.45 per 100,000 persons). Incidence was highest in Haishu and Jiangbei (6.90 and 4.93 per 100,000 persons, respectively). A post-intervention incidence rebound was observed, although no statistically significant differences were observed in the ≤ 14 age group, Beilun District, Ninghai County and Xiangshan County. Aedes albopictus was the only vector species. The mean Breteau Index was 16.07 (SD: 8.04) and decreased across phases, and rebounded in Jiangbei, Zhenhai, and Haishu districts. The mean BI was higher in summer compared to other seasons (p < 0.05). Model fit was strong (R2 > 0.95). The median R0 was higher in the outbreak years (3.46, IQR = 2.98-3.95) than years without local transmission (0.00, IQR = 0.00-0.00; p < 0.001). Median R0 was 0.00 (IQR = 0.00-0.71) over 2017-2024 due to the absence of local cases in most years. CONCLUSIONS: Dengue remains non-endemic in Ningbo, and is driven primarily by imported infections rather than sustained local transmission. Despite a reduction in diagnostic delay and vector density, post-PHSM incidences rebounded, and district-level heterogeneity indicates ongoing outbreak potential. Sustained surveillance, rapid diagnosis and district-tailored vector control are critical to prevent re-establishment of local transmission.

Authors

Institutions

Publication Details

Journal
PLoS neglected tropical diseases
Published
2026-10-30
DOI
https://doi.org/10.1371/journal.pntd.0014813
Primary Topic
Mosquito-borne diseases and control
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Epidemiological characteristics and transmission dynamics of dengue in Ningbo City, China before, during, and after the COVID-19 pandemic interventions

Tianfeng He, Buasiyamu Abudunaibi, Yang Mao, Yunkang Zhao et al.
3 links
PLoS neglected tropical diseases
Mosquito-borne diseases and control
article

Epidemiological characteristics and transmission dynamics of dengue in Ningbo City, China before, during, and after the COVID-19 pandemic interventions

Tianfeng He, Buasiyamu Abudunaibi, Yang Mao, Yunkang Zhao, Yi Chen, Yanru Chu, Song Lei, Yao Wang, Tianmu Chen, Yanwu Zhang
article en

Abstract

BACKGROUND: Ningbo experienced a local dengue outbreak in 2018-2019, followed by the implementation and relaxation of COVID-19 pandemic interventions. Evidence has been limited on dengue epidemiology and the transmissibility across these periods. METHODS: We analyzed routine dengue cases and mosquito surveillance data from 2017 to 2024, using descriptive analyses to assess the epidemiological characteristics, and a mathematical model was developed to estimate the basic reproduction number (R0). RESULTS: A total of 266 dengue cases were reported, with no deaths. Before the pandemic interventions, 51.19% of cases were overseas-imported; no cases were reported during pandemic interventions, whereas 73.47% were domestically imported after pandemic interventions. The median age of cases was 38.50 years (IQR = 31.25-54.00), and 57.52% were unemployed, retired, or in commercial services. The onset-to-diagnosis interval shortened post-interventions (4.46 days vs. 2.67 days). Viral typing increased post-interventions (34.59% vs. 63.27%), with 83.70% of cases identified as dengue virus-1 infections. Dengue cases were reported across all districts, with higher proportions in Haishu (27.07%) and Yinzhou (24.44%). The incidence was 2.82 per 100,000 persons. Incidence did not differ significantly by sex, but was significantly higher among individuals 15-59 years and those aged ≥60years than among those aged ≤14 years (3.18 and 3.01 per 100,000 persons, respectively, vs. 0.45 per 100,000 persons). Incidence was highest in Haishu and Jiangbei (6.90 and 4.93 per 100,000 persons, respectively). A post-intervention incidence rebound was observed, although no statistically significant differences were observed in the ≤ 14 age group, Beilun District, Ninghai County and Xiangshan County. Aedes albopictus was the only vector species. The mean Breteau Index was 16.07 (SD: 8.04) and decreased across phases, and rebounded in Jiangbei, Zhenhai, and Haishu districts. The mean BI was higher in summer compared to other seasons (p < 0.05). Model fit was strong (R2 > 0.95). The median R0 was higher in the outbreak years (3.46, IQR = 2.98-3.95) than years without local transmission (0.00, IQR = 0.00-0.00; p < 0.001). Median R0 was 0.00 (IQR = 0.00-0.71) over 2017-2024 due to the absence of local cases in most years. CONCLUSIONS: Dengue remains non-endemic in Ningbo, and is driven primarily by imported infections rather than sustained local transmission. Despite a reduction in diagnostic delay and vector density, post-PHSM incidences rebounded, and district-level heterogeneity indicates ongoing outbreak potential. Sustained surveillance, rapid diagnosis and district-tailored vector control are critical to prevent re-establishment of local transmission.

PLoS neglected tropical diseasesVol. 20(10)
Xiamen University (CN), Chengdu Medical College (CN), Ningbo Center for Disease Control and Prevention (CN)
National Science and Technology Major Project, Natural Science Foundation of Ningbo
Good health and well-being
Openalex Percentile: Top 10%
Mosquito-borne diseases and control
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon