DISTINGUISHING MALARIA AND DENGUE FEVER IN HYDERABAD, SINDH, PAKISTAN: A FREQUENCY- AND HEMATOLOGY-BASED DIAGNOSTIC FRAMEWORK USING RECENT PAKISTANI EVIDENCE

Abstract

Malaria and dengue fever remain major causes of acute febrile illness in Pakistan, and both diseases frequently coexist in Sindh, creating practical diagnostic difficulty in outpatient and emergency settings. This paper develops a Hyderabad-focused, frequency- and hematology-based differentiation framework using recent evidence from Pakistan and comparable regional studies published in 2024–2025. The study adopts a qualitative secondary-data design and synthesizes surveillance reports, hospital-based studies, and recent international guidance to answer one applied question: how can malaria and dengue patients be distinguished early when molecular confirmation is delayed, unavailable, or selectively used? The review shows that malaria remains a high-burden disease in Pakistan, with over 2 million annual confirmed cases in 2024 and persistent transmission strengthened by climate variability and flood-linked ecological change. Dengue also expanded sharply, with Pakistan reporting about 20,000 cases by the end of 2024 and repeated post-monsoon surges in Sindh. Across the reviewed literature, thrombocytopenia appears in both diseases and is therefore insufficient as a stand-alone discriminator. The more useful distinction is pattern-based: dengue more consistently clusters with leukopenia, lower total white cell counts, relative hemoconcentration, and sometimes elevated transaminases, whereas malaria more often presents with anemia, thrombocytopenia, and a normal or variably altered white cell count, especially in Plasmodium vivax dominant settings. Based on these findings, the paper proposes a Sequential Febrile-Hematological Differentiation Framework for Hyderabad that combines local frequency, seasonality, complete blood count patterns, and confirmatory testing. The paper concludes that a frequency-aware hematological triage model can improve early case separation in Hyderabad, reduce diagnostic delay, and support more rational use of dengue serology, malaria microscopy, and rapid diagnostic testing in resource-constrained care pathways