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VOLUME 6 , ISSUE 1 ( January-March, 2020 ) > List of Articles
Krithika Talari Thyagaraj, Balwant Singh Patle, AC Shyam, K Vidusha, M Chandrakala
Citation Information : Thyagaraj KT, Patle BS, Shyam A, Vidusha K, Chandrakala M. Analysis of Trends of Fever in the Field Practice Area of a Tertiary Care Hospital, Bengaluru: A Retrospective Data Review. J Med Sci 2020; 6 (1):8-13.
License: CC BY-NC 4.0
Published Online: 08-02-2021
Copyright Statement: Copyright © 2020; The Author(s).
Background: Fever is the most common presentation of vector-borne diseases. Fever of undetermined origin is also most often caused by an unusual manifestation of a common disease and is a huge public health problem affecting most people in the developing world. Primary objective of this study was to study the seasonal variations and trend analysis of patients with fever in a rural health training center of a tertiary care hospital in South Bengaluru, Karnataka. Materials and methods: A retrospective descriptive record-based analysis of patients with fever was conducted in a rural health training center of a tertiary care hospital, Bengaluru, from January 2019 to September 2019. The trends of fever were analyzed in each village respectively by the method of least squares, linear equation after entering into MS Excel sheet. Results: Study included 5,114 patients with fever, out of which 34% were of 18–30 years. In few villages, there was downward trend of patients with fever and in some villages, an upward trend of patients with fever was observed. Majority of patients with fever (2,795) were observed in August 2019 (12.29%) and September 2019 (12.33%). Conclusion: The number of patients with fever showed a downward and upward trend swings during the study period. Implementation of health education regarding the prevention of the vector-borne diseases is warranted. It emphasizes the importance of visiting a healthcare center in case of a fever. The study will give a better insight into the epidemiology of febrile illnesses. This will further help the health planners to allocate the resources in the most appropriate way.
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