Sökning: L773:1876 0341 >
A meta-meta-analysi...
A meta-meta-analysis of co-infection, secondary infections, and antimicrobial resistance in COVID-19 patients
-
- Suleiman, Adeiza Shuaibu (författare)
- Department of Pharmaceutical Microbiology, Faculty of Pharmaceutical Sciences, Ahmadu Bello University, Zaria, Kaduna, Nigeria
-
- Islam, Md Aminul (författare)
- Advanced Molecular Lab, Department of Microbiology, President Abdul Hamid Medical College, Karimganj, Kishoreganj-2310, Bangladesh; COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
-
- Akter, Mir Salma (författare)
- COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
-
visa fler...
-
- Amin, Mohammad Ruhul (författare)
- COVID-19 Diagnostic lab, Department of Microbiology, Noakhali Science and Technology University, Noakhali-3814, Bangladesh
-
- Werkneh, Adhena Ayaliew (författare)
- Department of Environmental Health, School of Public Health, College of Health Sciences, Mekelle University, P. O. Box 1871, Mekelle, Ethiopia
-
- Bhattacharya, Prosun, 1962- (författare)
- KTH,Vatten- och miljöteknik,COVID-19 Research @KTH
-
visa färre...
-
(creator_code:org_t)
- Elsevier BV, 2023
- 2023
- Engelska.
-
Ingår i: Journal of Infection and Public Health. - : Elsevier BV. - 1876-0341 .- 1876-035X. ; 16:10, s. 1562-1590
- Relaterad länk:
-
https://doi.org/10.1...
-
visa fler...
-
https://urn.kb.se/re...
-
https://doi.org/10.1...
-
visa färre...
Abstract
Ämnesord
Stäng
- The newly discovered coronavirus SARS-CoV-2 has sparked a worldwide pandemic of COVID-19, which has caused havoc on medical infrastructures, economies, and cultures around the world. Determining the whole scenario is essential since SARS-CoV-2 variants and sub-variants keep appearing after vaccinations and booster doses. The objective of this secondary meta-analysis is to analysis co-infection, secondary infections, and antimicrobial resistance (AMR) in COVID-19 patients. This study used five significant databases to conduct a systematic review and an overlap meta-analysis to evaluate the pooled estimates of co-infections and secondary infections. The summary of the meta-analysis showed an overall co-infection effect of 26.19% (95% confidence intervals CI: 21.39–31.01, I2 =98.78, n = 14 meta-analysis) among patients with COVID-19. A coinfection effect of 11.13% (95% CI: 9.7–12.56, I2 =99.14, n = 11 meta-analysis) for bacteria; 9.69% (95% CI: 1.21–7.90, I2 =98.33) for fungal and 3.48% (95% CI: 2.15–4.81, I2 =95.84) for viruses. A secondary infection effect of 19.03% (95% CI: 9.53–28.54, I2 =85.65) was pooled from 2 meta-analyses (Ave: 82 primary studies). This is the first study that compiles the results of all the previous three years meta-analyses into a single source and offers strong proof of co-infections and secondary infections in COVID-19 patients. Early detection of co-infection and AMR is crucial for COVID-19 patients in order to effective treatment.
Ämnesord
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Infektionsmedicin (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Infectious Medicine (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Hälsovetenskap -- Folkhälsovetenskap, global hälsa, socialmedicin och epidemiologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Health Sciences -- Public Health, Global Health, Social Medicine and Epidemiology (hsv//eng)
Nyckelord
- Antimicrobial resistant (AMR)
- Co-infection
- COVID-19
- Pathogens
- SARS-CoV-2
- Secondary infection
Publikations- och innehållstyp
- ref (ämneskategori)
- for (ämneskategori)
Hitta via bibliotek
Till lärosätets databas