Long-term observational studies can provide valuable insights into overall dengue epidemiology. Here, we present analysis of dengue cases at a pediatric hospital in Bangkok, Thailand, during a 40-year period from 1973 to 2012. Data were analyzed from 25,715 hospitalized patients with laboratory-confirmed dengue virus (DENV) infection. Several long-term trends in dengue disease were identified including an increase in mean age of hospitalized cases from an average of 7-8 years, an increase after 1990 in the proportion of post-primary cases for DENV-1 and DENV-3, and a decrease in the proportion of dengue hemorrhagic fever and dengue shock syndrome cases in primary and post-primary cases over time. Exploratory mechanistic analysis of these observed trends considered changes in diagnostic methods, demography, force of infection, and Japanese encephalitis vaccination as possible explanations. Thailand is an important setting for studying DENV transmission as it has a "mature" dengue epidemiology with a strong surveillance system in place since the early 1970s. We characterized changes in dengue epidemiology over four decades, and possible impact of demographic and other changes in the human population. These results may inform other countries where similar changes in transmission and population demographics may now or may soon be occurring.
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http://dx.doi.org/10.4269/ajtmh.15-0337 | DOI Listing |
BMC Infect Dis
January 2025
Yunnan Institute of Endemic Diseases Control and Prevention, Yunnan Provincial Key Laboratory for Zoonosis Control and Prevention, Dali, Yunnan, 671000, China.
Background: Yunnan Province, located in the southwestern part of China and neighboring endemic dengue regions of Southeast Asia, has experienced annual autochthonous outbreaks of dengue fever from 2013 to 2023. This study examines the epidemiological and spatiotemporal clustering characteristics of dengue within the province.
Methods: Descriptive epidemiological methods were used to analyse outbreak characteristics.
Sci Rep
January 2025
Heidelberg Institute of Global Health, University of Heidelberg, Heidelberg, Germany.
The global burden of dengue disease is escalating under the influence of climate change, with India contributing a third of the total. The non-linearity and regional heterogeneity inherent in the climate-dengue relationship and the lack of consistent data makes it difficult to make useful predictions for effective disease prevention. The current study investigates these non-linear climate-dengue links in Pune, a dengue hotspot region in India with a monsoonal climate and presents a model framework for predicting both the near-term and future dengue mortalities.
View Article and Find Full Text PDFEcotoxicol Environ Saf
January 2025
Clinical Epidemiology Unit, Qilu Hospital of Shandong University, Jinan, Shandong, PR China.
Dengue, a climate-sensitive mosquito-borne viral disease, is endemic in many tropical and subtropical areas, with Southeast Asia bearing the highest burden. In China, dengue epidemics are primarily influenced by imported cases from Southeast Asia. By integrating monthly maximum temperature and precipitation from Southeast Asia and local provinces in China, we aim to build models to predict dengue incidence in high-risk areas of China.
View Article and Find Full Text PDFOpen Forum Infect Dis
January 2025
Institute of Tropical Medicine, University of Tübingen, Tübingen, Germany.
Background: Arboviruses, including Dengue (DENV), Zika, and chikungunya, cause recurrent outbreaks of varying intensity in tropical countries. This study aimed to investigate other arboviruses, including Zika and chikungunya, in patients clinically suspected of Dengue and to characterize the circulating Dengue serotypes and genotypes in Northern Vietnam from 2020 to 2022. To date, information on this topic in the region has been limited.
View Article and Find Full Text PDFBMC Infect Dis
January 2025
College of Medicine, Federal University of Vale do São Francisco-UNIVASF, Petrolina, Pernambuco, 56304-917, Brazil.
Background: Human activities, such as urbanization and climate change, have facilitated the spread of arbovirus-carrying vectors, disproportionately affecting vulnerable traditional Indigenous communities.
Objective: To explore the relationships between subclinical myocardial dysfunction, assessed by global longitudinal strain (GLS), and comprehensive arbovirus serology in an Indigenous population, while also describing the serological and epidemiological profile of dengue, chikungunya, and Zika viruses.
Methods: This ancillary study is part of the first phase (2016-2017) of the Project of Atherosclerosis among Indigenous Populations (PAI), a cross-sectional study involving participants from two Indigenous communities with different degrees of urbanization and a highly urbanized city in Northeast Brazil.
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