@article{uninimx16580,
           month = {Enero},
           title = {Clinical epidemiology of dengue and COVID-19 co-infection among the residents in Dhaka, Bangladesh, 2021-2023: A cross-sectional study},
         journal = {Open Forum Infectious Diseases},
          author = {Nadim Sharif and Rubayet Rayhan Opu and Afsana Khan and Tama Saha and Abdullah Ibna Masud and Jannatin Naim and Zaily Leticia Vel{\'a}zquez Mart{\'i}nez and Carlos Manuel Osorio Garc{\'i}a and Meshari A Alsuwat and Fuad M Alzahrani and Khalid J Alzahrani and Isabel De la Torre D{\'i}ez and Shuvra Kanti Dey},
            year = {2025},
        abstract = {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 {\ensuremath{\chi}}2 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 {\ensuremath{>}}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 {\ensuremath{<}}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.},
             url = {http://repositorio.unini.edu.mx/id/eprint/16580/},
        keywords = {Epidemiology, Co-infection, Dengue, COVID-19, Bangladesh}
}