<> "The repository administrator has not yet configured an RDF license."^^ . <> . . . "Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study"^^ . "Background\nCo-infection of dengue and COVID-19 has increased the health burden worldwide. We found a significant knowledge gap in epidemiology and risk factors of co-infection in Bangladesh.\n\nMethods\nThis study included 2458 participants from Dhaka city from December 1, 2021, to November 30, 2023. We performed Kruskal-Walli’s test and χ2 test. Multivariable logistic regression was also performed.\n\nResults\nCo-infection of dengue and COVID-19 was found among 31% of the participants. Co-prevalence of dengue and COVID-19 was found in higher frequency in Jatrabari (14%), and Motijhil (11%). Severe (65%, p-value 0.001) and very severe (78%, p-value 0.005) symptoms were prevalent among the participants aged >50 years. Long-term illness was prevalent among the participants with co-infection (35%, 95% CI 33%- 36%) and COVID-19 (28%, 95% CI 26%- 30%). Co-infected participants had a higher frequency of heart damage (31.6%, p-value 0.005), brain fog (22%, p-value 0.03), and kidney damage (49.3%, p-value 0.001). Fever (100%) was the most prevalent symptom followed by weakness (89.6%), chills (82.4%), fatigue (81.4%), headache (80.6%), feeling thirsty (76.3%), myalgia (75%), pressure in the chest (69.1%), and shortness of breath (68.3%), respectively. Area of residence (OR 2.26, 95% CI 1.96-2.49, p-value 0.01), number of family members (OR 1.45, 95% CI 1.08-1.87, p-value <0.001), and population density (OR 2.43, 95% CI 2.15-3.01, p-value 0.001) were associated with higher odds of co-infection. We found that coinfected participants had a 4 times higher risk of developing severe health conditions (OR 4.22, 95% CI 4.11-4.67, p-value 0.02).\n\nConclusions\nThis is one of the early epidemiologic studies of co-infection of dengue and COVID-19 in Bangladesh."^^ . "2025-01" . . . . "Open Forum Infectious Diseases"^^ . . . "23288957" . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . "Fuad M"^^ . "Alzahrani"^^ . "Fuad M Alzahrani"^^ . . "Rubayet Rayhan"^^ . "Opu"^^ . "Rubayet Rayhan Opu"^^ . . "Afsana"^^ . "Khan"^^ . "Afsana Khan"^^ . . "Shuvra Kanti"^^ . "Dey"^^ . "Shuvra Kanti Dey"^^ . . "Jannatin"^^ . "Naim"^^ . "Jannatin Naim"^^ . . "Khalid J"^^ . "Alzahrani"^^ . "Khalid J Alzahrani"^^ . . "Abdullah Ibna"^^ . "Masud"^^ . "Abdullah Ibna Masud"^^ . . "Isabel"^^ . "De la Torre Díez"^^ . "Isabel De la Torre Díez"^^ . . "Meshari A"^^ . "Alsuwat"^^ . "Meshari A Alsuwat"^^ . . "Carlos Manuel"^^ . "Osorio García"^^ . "Carlos Manuel Osorio García"^^ . . "Nadim"^^ . "Sharif"^^ . "Nadim Sharif"^^ . . "Tama"^^ . "Saha"^^ . "Tama Saha"^^ . . "Zaily Leticia"^^ . "Velázquez Martínez"^^ . "Zaily Leticia Velázquez Martínez"^^ . . . . . . "Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study (Texto)"^^ . . . "ofaf039.pdf"^^ . . . "Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study (Otro)"^^ . . . . . . "indexcodes.txt"^^ . . "HTML Summary of #16580 \n\nClinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study\n\n" . "text/html" . . . "Biomedicine"@en . "Biomedicina"@es . .