relation: http://repositorio.unini.edu.mx/id/eprint/16580/ canonical: http://repositorio.unini.edu.mx/id/eprint/16580/ title: Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study creator: Sharif, Nadim creator: Opu, Rubayet Rayhan creator: Khan, Afsana creator: Saha, Tama creator: Masud, Abdullah Ibna creator: Naim, Jannatin creator: Velázquez Martínez, Zaily Leticia creator: Osorio García, Carlos Manuel creator: Alsuwat, Meshari A creator: Alzahrani, Fuad M creator: Alzahrani, Khalid J creator: De la Torre Díez, Isabel creator: Dey, Shuvra Kanti subject: Biomedicina description: Background Co-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. Methods This 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. Results Co-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). Conclusions This is one of the early epidemiologic studies of co-infection of dengue and COVID-19 in Bangladesh. date: 2025-01 type: Artículo type: PeerReviewed format: text language: en rights: cc_by_4 identifier: http://repositorio.unini.edu.mx/id/eprint/16580/1/ofaf039.pdf identifier: Artículo Materias > Biomedicina Universidad Europea del Atlántico > Investigación > Producción Científica Universidad Internacional Iberoamericana México > Investigación > Artículos y libros Universidad de La Romana > Investigación > Producción Científica Abierto Inglés Background Co-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. Methods This 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. Results Co-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). Conclusions This is one of the early epidemiologic studies of co-infection of dengue and COVID-19 in Bangladesh. metadata Sharif, Nadim; Opu, Rubayet Rayhan; Khan, Afsana; Saha, Tama; Masud, Abdullah Ibna; Naim, Jannatin; Velázquez Martínez, Zaily Leticia; Osorio García, Carlos Manuel; Alsuwat, Meshari A; Alzahrani, Fuad M; Alzahrani, Khalid J; De la Torre Díez, Isabel y Dey, Shuvra Kanti mail SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, zaily.velazquez@unini.edu.mx, carlos.osorio@uneatlantico.es, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR, SIN ESPECIFICAR (2025) Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study. Open Forum Infectious Diseases. ISSN 2328-8957 relation: http://doi.org/10.1093/ofid/ofaf039 relation: doi:10.1093/ofid/ofaf039 language: en