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Dengue Outbreak 2013: Clinical Profile Of Patients Presenting At Dhq Burner And Thq Shangla, Khyber Pakhtunkhwa, Pakistan

Authors: Jehangir Khan; Waqas Munir; Bakht Tarin Khan; Zaheer Ahmad; Waqas Ahmad Shams; Asar Khan;

Dengue Outbreak 2013: Clinical Profile Of Patients Presenting At Dhq Burner And Thq Shangla, Khyber Pakhtunkhwa, Pakistan

Abstract

We evaluated the clinical features, disease severity, laboratory findings and outcome of serologically confirmed cases of Dengue fever in Patients during the recent outbreak in two districts (Buner & Shangla) in 2013, Khyber Pkhtunkhwa, Pakistan. We encountered 320 cases of Dengue fever during 5 months period (July to November, 2013). The dengue infection rate in females (180: 56%.2) was higher as compared to males (140: 43.8%). The dengue infections were more frequently seen in the post-monsoon season than in the monsoon period. The death ratio in the overall weighted prevalence was 0%. All the patients suffered from fever but no specific pattern could be identified, degree was variable ranging from low to high grade. Abdominal pain was the next most common symptom followed by vomiting and diarrhea. Only (45%) patients complained of body aches and pains, (30%) patients had hemorrhagic manifestations in the form of gum bleed, and (05%) patients had melena while (15%) patient’s complained of skin rashes. The most common clinical sign was the Enlarged liver that was present in (75%) patients. There is critical need for molecular and entomological surveillance of dengue among the dengue epidemics-prone areas to eliminate the disease.

Research | Biohelikon: Immunity and Diseases.

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Keywords

Splenomegaly (Enlarged liver), Symptoms, Dengue fever

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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