ArticleMalaria research and treatment2019
Analysis of Haematological Parameters as Predictors of Malaria Infection Using a Logistic Regression Model: A Case Study of a Hospital in the Ashanti Region of Ghana.
Article in Malaria research and treatment, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed, 23 citations in OpenAlex.
- Association between thrombocytopaenia and Plasmodium falciparum infection in Ghana.Scientific reports · 2026Article
- Diagnostic value of full blood count derived systemic inflammatory biomarkers in malaria infection.Practical laboratory medicine · 2025Article
- Demographic inaccuracies and biases in the depiction of patients by artificial intelligence text-to-image generators.NPJ digital medicine · 2025Article
- Haematological abnormalities as diagnostic indicators of malaria in returning travellers: a retrospective study at Mohamed V Military Instruction Hospital.Access microbiology · 2025Article
- Demographic and socio-economic factors affecting bed net ownership, usage, and malaria transmission among adult patients seeking healthcare in two Ghanaian urban cities.BMC public health · 2024Article
- Accuracy of diagnosis among clinical malaria patients: comparing microscopy, RDT and a highly sensitive quantitative PCR looking at the implications for submicroscopic infections.Malaria journal · 2023Article
- Modelling sociodemographic factors that affect malaria prevalence in Sussundenga, Mozambique: a cross-sectional study.F1000Research · 2022Article
- Malaria patients in Nigeria: Data exploration approach.Data in brief · 2020Article
- Impact of malaria on haematological parameters of urban, peri-urban and rural residents in the Ashanti region of Ghana: a cross-sectional study.AAS open research · 2019Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Malaria is the leading cause of morbidity in Ghana representing 40-60% of outpatient hospital attendance with about 10% ending up on admission. Microscopic examination of peripheral blood film remains the most preferred and reliable method for malaria diagnosis worldwide. But the level of skills required for microscopic examination of peripheral blood film is often lacking in Ghana. This study looked at determining the extent to which haematological parameters and demographic characteristics of patients could be used to predict malaria infection using logistic regression. The overall prevalence of malaria in the study area was determined to be 25.96%; nonetheless, 45.30% of children between the ages of 5 and 14 tested positive. The binary logistic model developed for this study identified age, haemoglobin, platelet, and lymphocyte as the most significant predictors. The sensitivity and specificity of the model were 77.4% and 75.7%, respectively, with a PPV and NPV of 52.72% and 90.51%, respectively. Similar to RDT this logistic model when used will reduce the waiting time and improve the diagnosis of malaria.
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Registered trials
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