Risk Factors Associated with Dengue Virus Infection in Guangdong Province: A Community-Based Case-Control Study

Liu, Jundi; Tian, Xiaolu; Deng, Yu; Du, Zhicheng; Liang, Tianzhu; Zhang, Dingmei

doi:10.3390/ijerph16040617

Cited by 15 publications

(19 citation statements)

References 31 publications

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“…The use of water-based air conditioners in the household was identified as a risk factor in the present study and it is in agreement with recent studies elsewhere [3,59]. In contrary, a study in China, has reported that using air-condition was an effective personal prevention measure [60].…”

Section: Plos Neglected Tropical Diseasessupporting

confidence: 93%

Seroprevalence and associated risk factors of Dengue fever in Kassala state, eastern Sudan

et al. 2020

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Dengue is a rapidly growing public health threat in Kassala state, eastern Sudan. The objective of this study was to determine the seroprevalence, entomological transmission indices, and socioeconomic risk factors associated with dengue in this region. A cross-sectional community-based study was conducted in four dengue-endemic sites; Khatmia, West Gash, Thoriba, and Shokriya between March 2016 to March 2017. Enzyme-linked immunosorbent assay (ELISA) of immunoglobulin G (IgG) was used to determine the prevalence of dengue virus among the study participants. An entomological survey was conducted using pyrethrum spray catch and dipping for the collection of adults and aquatic stages of Aedes aegypti, respectively. Ribonucleic acid was extracted from the buffy coat of participants as well as from adult female Ae. aegypti to assess the possible circulation of dengue virus using Reverse Transcription Polymerase Chain Reaction (RT-PCR). Multiple logistic regression model was used to estimate the association between potential risk factors and dengue seropositivity. A total of 409 persons were recruited to the study: 45.5% were in the 20–39 years’ age category; 57.9% were living in houses with 6–10 persons; and 29.1% had at most secondary school education. In the majority (65.8%) of the households, the socioeconomic status was low (P<0.001). Long-lasting insecticide-treated bed nets were used in 56.5% of the households. Over three-quarters (77.8%) claimed not to have experienced febrile illness in the last three months. Routine entomological survey across Kassala state identified a total of 3,304 larvae and 390 pupae Ae. aegypti, respectively. The overall house index was 32.8% and Breteau Index was 35.96% (146/406). The overall pupal demographic index was 13.31%, and the pupal children index was 97.26%. Antibodies against IgG were detected from 66 (42.04%) out of a total of 157 sera. Twenty-two positive sera (75.9%) were collected from Khatmia. A total of 329 adults Ae. aegypti were identified but only one (0.3%) was positive for DENV in Khatmia. Finally, four independent risk factors were identified to derive dengue circulation in Kassala: elder age (> 60 years) (OR 6.31, CI 1.09–36.36); type of bathroom (OR 3.52, CI 1.35–9.20); using water-based air conditioner (OR 6.90, CI 1.78–26.85) and previous infection of any household member with dengue (OR 28.73, CI 3.31–249.63). Our findings suggest that Kassala state is facing an increasing occurrence of dengue and emphasizes the need for developing appropriate interventions to address the identified risk factors, and place control programs into actions. Establishment of routine dengue epidemiological and entomological surveillance, and climate warning systems will contribute to early warning and timely detection and response to emerging outbreaks.

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Section: Plos Neglected Tropical Diseasessupporting

confidence: 93%

Seroprevalence and associated risk factors of Dengue fever in Kassala state, eastern Sudan

et al. 2020

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“…The most serious DF outbreak in China in the past 20 years was reported in June 2014, in Guangdong Province, and , more than 45,000 people were infected [10,13]. However, the Chinese government has not developed an effective vaccination to prevent the disease until now [14,15]. The dengue serotypes detected in Guangzhou were mainly DENV 1 and DENV 2 [16].…”

Section: It Is Caused By Four Different Serotypes Of Dengue Virus (Dementioning

confidence: 99%

Dengue fever transmission between construction site and its surrounding communities in China

Liu

Zhang

Cheng

et al. 2020

Preprint

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Background: Due to more mosquito habitats and the lack of basic mosquito control facilities, construction sites are more likely to have secondary cases after case importation, which may increase the number of cases in the neighborhood community and the chance of community transmission. This study aims to investigate how to effectively reduce the dengue transmission in construction sites and the neighboring communities.Methods: Susceptible-Exposed-Infectious/Asymptomatic-Recovered (SEIAR) model of human and SEI model of mosquitoes were developed to estimate the transmission of dengue virus between human and mosquitoes within the construction site and within a neighboring community, as well between them. With the calibrated model, we further estimated the effectiveness of different intervention scenarios targeting at reducing the transmissibility at different locations (i.e. construction sites and community) with the total attack rate (TAR) and the duration of the outbreak (DO).Results: A total of 102 construction site-related and 131 community-related cases of dengue were reported in our study area. Without intervention, the cases related to the construction site and the community rose to 156 (TAR: 31.25%) and 10796 (TAR: 21.59%). When cutting off the transmission route from mosquitoes to human in the community, the community cases decreased to a minimum of 33 compared with other simulated scenarios (TAR: 0.068%, DO: 60 days). If the transmission route from infectious mosquitoes in the community, and from the construction site to susceptible people on the site, was cut off at the same time, the cases in the construction site dropped to a minimum of 74 (TAR: 14.88%, DO: 66 days).Conclusions: To control the outbreak effectively for both the construction site and the community, interventions needed to be taken within the community and from the community to the construction site. If interventions were only taken within the construction site, this could not reduce the number of cases on the construction site. If interventions were taken within the construction site or between the construction site and the community, this could not lead to a reduction in the number of cases in the community.

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“…Between 2008 and 2018, more than 85% of all domestic dengue cases in China occurred in Guangdong province [ 12 ], with the most serious DF outbreak in China in the past 20 years reported in Guangdong province in June 2014, with more than 45,000 people infected [ 10 , 13 ]. However, the Chinese government has not yet developed an effective vaccination to prevent the disease [ 14 , 15 ]. The dengue serotypes detected in Guangzhou were mainly DENV 1 and DENV 2 [ 16 ].…”

Section: Introductionmentioning

confidence: 99%

Dengue fever transmission between a construction site and its surrounding communities in China

et al. 2021

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Background Due to an increase in mosquito habitats and the lack facilities to carry out basic mosquito control, construction sites in China are more likely to experience secondary dengue fever infection after importation of an initial infection, which may then increase the number of infections in the neighboring communities and the chance of community transmission. The aim of this study was to investigate how to effectively reduce the transmission of dengue fever at construction sites and the neighboring communities. Methods The Susceptible-Exposed-Infectious/Asymptomatic-Recovered (SEIAR) model of human and SEI model of mosquitoes were developed to estimate the transmission of dengue virus between humans and mosquitoes within the construction site and within a neighboring community, as well between each of these. With the calibrated model, we further estimated the effectiveness of different intervention scenarios targeting at reducing the transmissibility at different locations (i.e. construction sites and community) with the total attack rate (TAR) and the duration of the outbreak (DO). Results A total of 102 construction site-related and 131 community-related cases of dengue fever were reported in our area of study. Without intervention, the number of cases related to the construction site and the community rose to 156 (TAR: 31.25%) and 10,796 (TAR: 21.59%), respectively. When the transmission route from mosquitoes to humans in the community was cut off, the number of community cases decreased to a minimum of 33 compared with other simulated scenarios (TAR: 0.068%, DO: 60 days). If the transmission route from infectious mosquitoes in the community and that from the construction site to susceptible people on the site were cut off at the same time, the number of cases on the construction site dropped to a minimum of 74 (TAR: 14.88%, DO: 66 days). Conclusions To control the outbreak of dengue fever effectively on both the construction site and in the community, interventions needed to be made both within the community and from the community to the construction site. If interventions only took place within the construction site, the number of cases on the construction site would not be reduced. Also, interventions implemented only within the construction site or between the construction site and the community would not lead to a reduction in the number of cases in the community.

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Risk Factors Associated with Dengue Virus Infection in Guangdong Province: A Community-Based Case-Control Study

Cited by 15 publications

References 31 publications

Seroprevalence and associated risk factors of Dengue fever in Kassala state, eastern Sudan

Seroprevalence and associated risk factors of Dengue fever in Kassala state, eastern Sudan

Dengue fever transmission between construction site and its surrounding communities in China

Dengue fever transmission between a construction site and its surrounding communities in China

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