Predominance of Den 2 and Den 3 serotypes during the 2025 dengue outbreak in Chattogram, Bangladesh: Implications for Public Health Preparedness
Biswas, R. S. R.; Moharar, T.; Karim, M. R.; Hasan, M. M.; Biswas, S. K.
Show abstract
IntroductionDengue has been prevalent in a regular fashion in Bangladesh and Chattogram for the last 6-7 years and is showing some serotype twisting. So, the objectives of the present study were to explore the burden of dengue serotypes in Chattogram. MethodsIn this study, 223 Dengue RT-PCR positive patients were evaluated for serotyping. Gender and age group, along with cycle threshold (CT) values, were also collected. Data after collection were compiled, analyzed, and plotted in Microsoft Excel and GraphPad Prism 10.4. Ethical clearance was taken to conduct the study. ResultsAmong 223 patients analyzed, males and females were found near equal (113 and 110). Middle-aged patients were more than the extremes of age. The mean {+/-} SD of age was 33.55 {+/-} 13.67 years. Regarding serotype distributions, isolated Den 1, Den 2 and Den 3 were found 1.3%, 73.1% and 6.7%, respectively. Concurrent infections with multiple serotypes were observed in several patients, most notably the Den 2 and Den 3 combination, which accounted for 14.3% (n=32) of the cases. Other co-infections were less frequent: the Den 1 and Den 2 pairing appeared in 3.6% (n=8) of the cohort, while triple-serotype infections (Den 1, 2, and 3) and Den 3/Den 4 pairings were rare, each occurring in only 0.4% of patients. Statistical analysis of CT values revealed no significant sex-based differences for Den 2 and Den 3. However, significant variations in CT values were observed when comparing Den 1 against both Den 2 and Den 3 (p < 0.05). In contrast, the difference between Den 2 and Den 3 Ct values remained statistically insignificant. ConclusionIn the year 2025, Dengue serotypes 2 and 3 were found to be the most prevalent, both in isolated or in combinations and Den 1 and Den 4 were found minimum. Exposure to multiple serotypes and twisting from one serotype to another might influence the dengue outcome in future, which needs further exploration.
Matching journals
The top 11 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Comparative Genomic Study for Revealing the Complete Scenario of COVID-19 Pandemic in Bangladesh 96%
- Community-based Sero-prevalence of Hepatitis B and C Infections in South Omo Zone, Southern Ethiopia 96%
- Genomic miscellany and allelic frequencies of Plasmodium falciparum msp-1, msp-2 and glurp in parasite isolates 95%
Similar papers in this journal
- Serological evidence of exposure to Rift Valley, Dengue and Chikungunya Viruses among agropastoral communities in Manyara and Morogoro regions in Tanzania: A community Survey 96%
- Chikungunya Outbreak in Bangladesh (2017): Clinical and hematological findings 96%
- Spatial and epidemiologic features of dengue in Sabah, Malaysia 95%
Similar papers in this journal
- Epidemiological and virological factors determining dengue transmission in Sri Lanka during the COVID-19 pandemic 98%
- Determining the effects of preseasonal climate factors toward dengue early warning system in Bangladesh 94%
- Real-Time PCR-based diagnosis of human visceral leishmaniasis using urine samples 94%
Similar papers in this journal
- COVID-19 in Hospitalized Ethiopian Children: Characteristics and Outcome Profile 94%
- Yellow fever vaccination coverage among nomadic populations in Savannah region, Ghana; a cross-sectional study following an outbreak 94%
- When it is available, will we take it? Public perception of hypothetical COVID-19 vaccine in Nigeria 93%
Similar papers in this journal
- The Wood equation allows consistent fitting of individual antibody responses profiles in Zika virus or SARS-CoV-2 infected patients 92%
- Psychosocial Factors of Stigma and Relationship to Healthcare Service among Adolescents Living With HIV/AIDS in Kano State, Nigeria 92%
- Comparative study of immunogenicity and safety of Gam-COVID-Vac and Sinopharm BBIBP-CorV vaccines in Belarus 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.