Definition and research guide
This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.
Content available: 3 complete abstracts (905 words), 9 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.
Definition
Simultaneous infection of a host organism by two or more pathogens. In virology, coinfection commonly refers to simultaneous infection of a single cell by two or more different viruses.
Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.
Also known as: Coinfections; Co-infection; Co infection; Co-infections; Mixed Infection; Infection, Mixed; Infections, Mixed; Mixed Infections.
Where it fits in the MeSH classification
- Broader topics
- Infections
Research landscape
PubMed indexes 19,416 records tagged with the MeSH heading “Coinfection” (counts retrieved 2026-10-29). 8,784 of them (45.2%) were published from 2020 onward, and the busiest period so far is 2010-2019 with 10,623 records.
Reviews account for 2,108 records (10.9%) and meta-analyses for 336. Randomized controlled trials number 214 (1.1%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.
Show the data
| Period | Records |
|---|---|
| through 1999 | 0 |
| 2000-2009 | 14 |
| 2010-2019 | 10,623 |
| 2020 onward | 8,784 |
Publication-type chart data
| Type | Records | Share |
|---|---|---|
| Reviews | 2,108 | 10.9% |
| Meta-analyses | 336 | 1.7% |
| Randomized controlled trials | 214 | 1.1% |
Method: PubMed query "Coinfection"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.
Reading the evidence in infectious diseases
Infectious disease evidence combines microbiology, epidemiology and clinical trials. Laboratory studies identify pathogens and how they cause harm; surveillance and outbreak investigations describe who is affected and how infection spreads; trials establish whether treatments and vaccines work. Results depend on place and time, because pathogens evolve and resistance patterns and population immunity change. Check when and where the data were collected, how cases were defined and how up to date the evidence is.
Evidence from open-access studies
These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.
| Study / authors | Year | Source label / design | Europe PMC citations | Licence / source |
|---|---|---|---|---|
| Trial of High-Dose Oral Rifampin in Adults with Tuberculous Meningitis | 2025 | Randomized controlled trial Design not recorded in structured metadata | 16 | cc by PMID 41406445 · DOI · PMC7618564 |
| Pathogen landscape and synergistic interactions in pediatric ARIs: implications for broad-spectrum surveillance via targeted NGS | 2026 | Research article Design not recorded in structured metadata | 5 | cc by PMID 41468550 · DOI · PMC12889064 |
| Mixed vaginal infection status in women infected with Trichomonas vaginalis: comparison of microscopy method and metagenomic sequencing analysis | 2025 | Research article Design not recorded in structured metadata | 4 | cc by PMID 41416110 · DOI · PMC12708925 |
Trial of High-Dose Oral Rifampin in Adults with Tuberculous Meningitis [1]
Abstract reading summary — source excerpts
- Opening excerpt
- BackgroundTuberculous meningitis is often lethal, and many survivors have disabilities despite antimicrobial treatment and adjunctive glucocorticoid therapy.
- Closing excerpt
- ).
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (311 words)
BackgroundTuberculous meningitis is often lethal, and many survivors have disabilities despite antimicrobial treatment and adjunctive glucocorticoid therapy. Standard-dose rifampin has limited central nervous system penetration. Whether high-dose rifampin could improve survival outcomes is unknown.MethodsWe performed a double-blind, randomized, placebo-controlled clinical trial involving adults with tuberculous meningitis in Indonesia, South Africa, and Uganda. We assigned persons with and those without human immunodeficiency virus (HIV) coinfection to receive standard daily isoniazid, rifampin (at a dose of 10 mg per kilogram of body weight), ethambutol, and pyrazinamide plus either additional rifampin (for a cumulative dose of 35 mg per kilogram; high-dose group) or matched placebo (standard-dose group) for 8 weeks; participants in both groups received standard therapy for the remainder of the 9-to-12-month treatment course. The primary outcome was 6-month mortality.ResultsA total of 499 participants were included in the intention-to-treat population (249 randomly assigned to the high-dose group and 250 to the standard-dose group), of whom 304 (60.9%) were persons living with HIV and 428 (85.8%) had definite or probable tuberculous meningitis. During 6 months of follow-up, 109 participants (Kaplan-Meier estimate, 44.6%) in the high-dose group and 100 participants (Kaplan-Meier estimate, 40.7%) in the standard-dose group died (hazard ratio, 1.17; 95% confidence interval, 0.89 to 1.54; P = 0.25). Among the participants who died within 6 months, the median time to death was 13 days (interquartile range, 4 to 39) in the high-dose group and 24 days (interquartile range, 6 to 56) in the standard-dose group. Drug-induced liver injury occurred in 8.0% of the participants in the high-dose group and in 4.4% of those in the standard-dose group, but no deaths from drug-induced liver injury occurred.ConclusionsAmong persons with tuberculous meningitis, no evidence of beneficial effect from high-dose rifampin was observed, and the potential for a harmful effect cannot be ruled out. (Funded by the U.K. Medical Research Council and others; ISRCTN Registry number, ISRCTN15668391.).
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41406445 · DOI · PMC7618564
Pathogen landscape and synergistic interactions in pediatric ARIs: implications for broad-spectrum surveillance via targeted NGS [2]
Abstract reading summary — source excerpts
- Opening excerpt
- Acute respiratory infections (ARIs) in children present complex interactions between respiratory pathogens and host, contributing to high morbidity, hospitalization, and mortality.
- Closing excerpt
- Our findings underscore the necessity of detecting pathogen-pathogen and host-pathogen dynamics, rather than individual pathogens, thereby informing precision diagnostics and targeted intervention strategies.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (297 words)
Acute respiratory infections (ARIs) in children present complex interactions between respiratory pathogens and host, contributing to high morbidity, hospitalization, and mortality. In this cross-sectional study, 2,044 pediatric in-patient samples were tested for 198 pathogens using targeted next-generation sequencing (tNGS). Pathogen spectrum and co-infection pattern were analyzed alongside blood-test results and clinical data. Pediatric ARIs presented staggered viral epidemics and age-specific infection patterns from 2022 to 2023. Viral infections were predominant in children under 3 years (67.5%). Specific viral-bacterial co-infections were associated with disease severity, including human metapneumovirus (HMPV)-Streptococcus pneumoniae (OR = 3.172, 95% CI: 1.257-8.009), human parainfluenza virus (HPIV)-Fusobacterium nucleatum (3.016, 1.051-8.653), and HPIV-S. pneumoniae (2.825, 1.007-7.927). Subnormal levels of prealbumin and creatinine served as biomarkers for homeostasis disruption in viral-bacterial co-infections. From June to December 2023, Mycoplasma pneumoniae (MP) became the dominant pathogen in preschool (31.3%) and school-age (45.3%) children. High MP loads were correlated with elevated eosinophil, IL-4, and IL-6 and decreased IgG and IL-2, linking to airway hyperreactivity and inflammation. At low MP loads, patients co-detected with human herpesvirus (HHV) (50.0%), or Haemophilus influenzae (40.0%) had a high proportion of severe cases. This study delineated the complex pathogen landscape of pediatric ARIs and highlighted the major role of viral-bacterial and MP-bacterial co-infections. Monitoring these pathogens through tNGS can aid in precise diagnosis and targeted treatment to improve clinical outcomes in children.IMPORTANCEMoving beyond the outdated "one germ, one disease" model, this study characterizes the etiological and epidemiological landscape and highlights co-infection patterns of virus-bacterium or MP-bacterium in 2044 pediatric respiratory in-patient children across three epidemic phases. Specific pathogen combinations are associated with clinical severity, as well as host immune and metabolic profiles. Our findings underscore the necessity of detecting pathogen-pathogen and host-pathogen dynamics, rather than individual pathogens, thereby informing precision diagnostics and targeted intervention strategies.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41468550 · DOI · PMC12889064
Mixed vaginal infection status in women infected with Trichomonas vaginalis: comparison of microscopy method and metagenomic sequencing analysis [3]
Abstract reading summary — source excerpts
- Opening excerpt
- Trichomonas vaginalis (TV) infection is a common non-viral sexually transmitted infection, often combined with mixed vaginal infections.
- Closing excerpt
- These results suggest molecular diagnostic methods should be used as complementary tools for precise analysis improve TV and its mixed infection diagnosis and treatment.
- Interpretation limits
- Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (297 words)
Trichomonas vaginalis (TV) infection is a common non-viral sexually transmitted infection, often combined with mixed vaginal infections. These mixed infections worsen inflammation, disrupt vaginal microbiota, and affect treatment. Currently, TV and its mixed infections are mainly diagnosed by wet mount microscopy, which has low sensitivity and cannot identify complex microbes well. This study compared microscopy with metagenomic sequencing to explore vaginal microbiota changes and improve diagnosis of TV-related mixed infections. We enrolled 30 participants: 20 TV-infected patients (diagnosed by wet mount microscopy) and 10 healthy controls (with Lactobacillus as dominant vaginal microbiota). Then tested by Gram staining, microscopy, and metagenomic sequencing. We analyzed microbial composition and identified different abundant taxa. We also measured clinical indices (Lactobacillus grade, vaginal pH, Nugent score for BV, Donders score for AV) to assess vaginal microecology. Among 20 TV patients, microscopy and clinical criteria found a 65% mixed infection rate (13/20), including TV+AV (5 cases), TV+BV+AV (7 cases), and TV+VVC (1 case). Metagenomic sequencing showed TV patients had higher alpha diversity (Shannon index: p=0.0276) and different beta diversity (ANOSIM, r=0.21, p=0.000167) than controls. At the genus level, TV patients had more anaerobic taxa (Fannyhessea, Atopobium, Peptostreptococcus, FDR<0.05) and less Lactobacillus (FDR<0.05) than controls. All TV patients were CST IV (low Lactobacillus, high mixed bacteria), including 12 cases of CST IV-C and 7 cases of CST IV-B. Microscopy and sequencing had low diagnostic consistency in diagnosing mixed infections, especially for mixed vaginitis. TV infection causes significant vaginal microecological imbalance (less Lactobacillus, more anaerobes, high mixed infection rate). Metagenomic sequencing is better than microscopy at identifying complex microbes and low-abundance pathogens, making it more accurate for diagnosing TV-related mixed infections. These results suggest molecular diagnostic methods should be used as complementary tools for precise analysis improve TV and its mixed infection diagnosis and treatment.
Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 41416110 · DOI · PMC12708925
Key reviews and meta-analyses
The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.
- Research article Co-infections in people with COVID-19: a systematic review and meta-analysis [4]
- Research article The global prevalence of hepatitis D virus infection: Systematic review and meta-analysis [5]
- Research article The frequency of influenza and bacterial coinfection: a systematic review and meta-analysis [6]
- Research article COVID-19-associated fungal infections [7]
- Research article Chronic hepatitis D and hepatocellular carcinoma: A systematic review and meta-analysis of observational studies [8]
- Research article Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis [9]
References
- Meya DB, Cresswell FV, Dai B, Engen N, Naidoo K, Ganiem AR, et al.. Trial of High-Dose Oral Rifampin in Adults with Tuberculous Meningitis. . 2025. PMID 41406445 · DOI · PMC7618564
- Zhou J, Li T, Yuan S, Wang Y, Zhao A, He Y, et al.. Pathogen landscape and synergistic interactions in pediatric ARIs: implications for broad-spectrum surveillance via targeted NGS. . 2026. PMID 41468550 · DOI · PMC12889064
- Jun L, Wan X, Zhang D, Zheng Y, Chen X, Mi L, et al.. Mixed vaginal infection status in women infected with Trichomonas vaginalis: comparison of microscopy method and metagenomic sequencing analysis. . 2025. PMID 41416110 · DOI · PMC12708925
- Lansbury L, Lim B, Baskaran V, Lim WS. Co-infections in people with COVID-19: a systematic review and meta-analysis. J Infect. 2020. PMID 32473235 · DOI · PMC7255350
- Stockdale AJ, Kreuels B, Henrion MYR, Giorgi E, Kyomuhangi I, de Martel C, et al.. The global prevalence of hepatitis D virus infection: Systematic review and meta-analysis. J Hepatol. 2020. PMID 32335166 · DOI · PMC7438974
- Klein EY, Monteforte B, Gupta A, Jiang W, May L, Hsieh YH, et al.. The frequency of influenza and bacterial coinfection: a systematic review and meta-analysis. Influenza Other Respir Viruses. 2016. PMID 27232677 · DOI · PMC4947938
- Hoenigl M, Seidel D, Sprute R, Cunha C, Oliverio M, Goldman GH, et al.. COVID-19-associated fungal infections. Nat Microbiol. 2022. PMID 35918423 · DOI · PMC9362108
- Alfaiate D, Clément S, Gomes D, Goossens N, Negro F. Chronic hepatitis D and hepatocellular carcinoma: A systematic review and meta-analysis of observational studies. J Hepatol. 2020. PMID 32151618 · DOI
- Langford BJ, So M, Simeonova M, Leung V, Lo J, Kan T, et al.. Antimicrobial resistance in patients with COVID-19: a systematic review and meta-analysis. Lancet Microbe. 2023. PMID 36736332 · DOI · PMC9889096
About this article
- Sources
- NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
- Verification
- Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
- Review state
- automated source verified; no human expert review has been recorded yet.
- Version
- 1, last updated 2026-10-29.
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Evidence strength
EvidenceHelix's computed view of the study designs behind this topic: how common meta-analyses, randomized trials and reviews are, how recent the literature is, and a plain-language reading. It describes the design mix of the literature. It is not a quality appraisal of any study, and it is not medical advice.