Sharif Nadim, Opu Rubayet Rayhan, Khan Afsana, Saha Tama, Masud Abdullah Ibna, Naim Jannatin, Martinez Zaily Leticia Velázquez, García Carlos Osorio, Alsuwat Meshari A, Alzahrani Fuad M, Alzahrani Khalid J, De la Torre Díez Isabel, Dey Shuvra Kanti
Department of Microbiology, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Department of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Open Forum Infect Dis. 2025 Jan 25;12(2):ofaf039. doi: 10.1093/ofid/ofaf039. eCollection 2025 Feb.
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.
This study included 2458 participants from Dhaka city from 1 December 2021 to November 30 2023. We performed the Kruskal-Wallis test and χ test. Multivariable logistic regression was also performed.
Co-infection of dengue and COVID-19 was found among 31% of the participants. Coprevalence of dengue and COVID-19 was found in higher frequency in Jatrabari (14%) and Motijhil (11%). Severe (65%, = .001) and very severe (78%, = .005) symptoms were prevalent among the participants aged >50 years. Long-term illness was prevalent among the participants with co-infection (35%; 95% confidence interval [CI], 33-36) and COVID-19 (28%; 95% CI, 26-30). Co-infected participants had a higher frequency of heart damage (31.6%, = .005), brain fog (22%, = .03), and kidney damage (49.3%, = .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 (odds ratio [OR], 2.26; 95% CI, 1.96-2.49, = .01), number of family members (OR, 1.45; 95% CI ,1.08-1.87; <.001), and population density (OR, 2.43; 95% CI, 2.15-3.01; = .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; = .02).
This is one of the early epidemiologic studies of co-infection of dengue and COVID-19 in Bangladesh.
登革热和新冠病毒的合并感染增加了全球的健康负担。我们发现孟加拉国在合并感染的流行病学和风险因素方面存在重大知识空白。
本研究纳入了2021年12月1日至2023年11月30日来自达卡市的2458名参与者。我们进行了Kruskal-Wallis检验和χ检验。还进行了多变量逻辑回归分析。
31%的参与者被发现同时感染了登革热和新冠病毒。在贾特拉巴里(14%)和莫蒂杰希尔(11%)发现登革热和新冠病毒的共同流行率较高。50岁以上的参与者中严重(65%,P = 0.001)和非常严重(78%,P = 0.005)症状较为普遍。合并感染的参与者(35%;95%置信区间[CI],33 - 36)和新冠病毒感染者(28%;95% CI,26 - 30)中慢性病较为普遍。合并感染的参与者心脏损伤(31.6%,P = 0.005)、脑雾(22%,P = 0.03)和肾脏损伤(49.3%,P = 0.001)的发生率较高。发热(100%)是最普遍的症状,其次分别是虚弱(89.6%)、寒战(82.4%)、疲劳(81.4%)、头痛(80.6%)、口渴感(76.3%)、肌痛(75%)、胸痛(69.1%)和呼吸急促(68.3%)。居住地区(优势比[OR],2.26;95% CI,1.96 - 2.49,P = 0.01)、家庭成员数量(OR,1.45;95% CI,1.08 - 1.87;P < 0.001)和人口密度(OR,2.43;95% CI,2.15 - 3.01;P = 0.001)与合并感染的较高几率相关。我们发现合并感染的参与者出现严重健康状况的风险高出4倍(OR,4.22;95% CI,4.11 - 4.67;P = 0.02)。
这是孟加拉国关于登革热和新冠病毒合并感染的早期流行病学研究之一。