Estimating Dengue Transmission Intensity in China Using Catalytic Models Based on Serological Data

Author:

Li Ning12,Li Haidong13,Chen Zhengji14,Xiong Huan1,Li Zhibo1ORCID,Wei Tao5,Liu Wei1,Zhang Xu-Sheng6ORCID

Affiliation:

1. School of Public Health, Kunming Medical University, Kunming 650500, China

2. Centers for Disease Control and Prevention of Yunnan Province, Kunming 650118, China

3. The Affiliated Hospital of Stomatology, Chongqing Medical University, Chongqing 401147, China

4. Kunming Centers for Disease Control and Prevention, Kunming 650228, China

5. Library, Kunming Medical University, Kunming 650500, China

6. Statistics, Modelling and Economics Department, Data, Analytics & Surveillance, UK Health Security Agency, London NW9 5EQ, UK

Abstract

In recent decades, the global incidence of dengue has risen sharply, with more than 75% of infected people showing mild or no symptoms. Since the year 2000, dengue in China has spread quickly. At this stage, there is an urgent need to fully understand its transmission intensity and spread in China. Serological data provide reliable evidence for symptomatic and recessive infections. Through a literature search, we included 23 studies that collected age-specific serological dengue data released from 1980 to 2021 in China. Fitting four catalytic models to these data, we distinguished the transmission mechanisms by deviation information criterion and estimated force of infection and basic reproduction number (R0), important parameters for quantifying transmission intensity. We found that transmission intensity varies over age in most of the study populations, and attenuation of antibody protection is identified in some study populations; the R0 of dengue in China is between 1.04–2.33. Due to the scarceness of the data, the temporal trend cannot be identified, but data shows that transmission intensity weakened from coastal to inland areas and from southern to northern areas in China if assuming it remained temporally steady during the study period. The results should be useful for the effective control of dengue in China.

Funder

National Nature Science Foundation of China

Innovative Research Team of Yunnan Province

Publisher

MDPI AG

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Immunology and Microbiology

Reference71 articles.

1. World Health Organization (WHO) (2009). Dengue: Guidelines for Diagnosis, Treatment, Prevention and Control: New Edition, World Health Organization.

2. World Health Organization (WHO) (2007). Accelerating Work to Overcome the Global Impact of Neglected Tropical Diseases, World Health Organization.

3. World Health Organization (2022, October 22). Dengue and Severe Dengue, 10 January 2022. Available online: https://www.who.int/news-room/fact-sheets/detail/dengue-and-severe-dengue.

4. The global distribution and burden of dengue;Bhatt;Nature,2013

5. Epidemiology and genotyping of dengue fever in Shenzhen City in 2018;Yang;Chin. J. Infect. Dis.,2020

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