ArticleTropical medicine and infectious disease2022
The Usefulness of Peripheral Blood Cell Counts to Distinguish COVID-19 from Dengue during Acute Infection.
Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.
- Neutrophil-to-lymphocyte ratio for the clinical management of dengue: a systematic review and meta-analysis.Frontiers in epidemiology · 2026Pooled it
- Single and combined use of the platelet-lymphocyte ratio and neutrophil-lymphocyte ratio in hemorrhagic fever with renal syndrome.Frontiers in cellular and infection microbiology · 2026Article
- Lessons and concerns about the SARS-CoV-2/DENV co-infection.BMC infectious diseases · 2025Article
- Clinical characteristics and serotype association of dengue and dengue like illness in Pakistan.PLoS neglected tropical diseases · 2025Article
- Acute Kidney Injury in the Context of COVID-19: An Analysis in Hospitalized Mexican Patients.Infectious disease reports · 2024Article
- Dengue fever coinfection in COVID-19 era: A public health concern.Health science reports · 2024Article
- Dengue and SARS-CoV-2 co-circulation and overlapping infections in hospitalized patients.Frontiers in cellular and infection microbiology · 2024Article
Corrections and comments
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Authors and funding
11 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
COVID-19 and dengue disease are challenging to tell apart because they have similarities in clinical and laboratory features during the acute phase of infection, leading to misdiagnosis and delayed treatment. The present study evaluated peripheral blood cell count accuracy to distinguish COVID-19 non-critical patients from non-severe dengue cases between the second and eleventh day after symptom onset. A total of 288 patients infected with SARS-CoV-2 (n = 105) or dengue virus (n = 183) were included in this study. Neutrophil, platelet, and lymphocyte counts were used to calculate the neutrophil-lymphocyte ratio (NLR), the platelet-lymphocyte ratio (PLR), and the neutrophil-lymphocyte*platelet ratio (NLPR). The logistic regression and ROC curves analysis revealed that neutrophil and platelet counts, NLR, LPR, and NLPR were higher in COVID-19 than dengue. The multivariate predictive model showed that the neutrophils, platelets, and NLPR were independently associated with COVID-19 with a good fit predictive value (
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