| Literature DB >> 28029002 |
Muhammad Suleman1,2, Rani Faryal1, Muhammad Masroor Alam2, Salmaan Sharif2, Shahzad Shaukat2, Uzma Bashir Aamir2, Adnan Khurshid2, Mehar Angez2, Massab Umair2, Mian Muhammad Sufian2, Yasir Arshad2, Syed Sohail Zahoor Zaidi3.
Abstract
From 2013 to 2015, the National Institute of Health, Pakistan, received 1,270 blood samples of suspected dengue cases reported from inpatient and outpatient departments of various hospitals in Khyber Pakhtunkhwa (KPK) province. In this study, we determined the circulating dengue virus (DENV) serotypes using real-time reverse transcriptase (RT)-PCR to understand the serotype-based epidemiology of DENV. All four serotypes (DENV-1 [6%], DENV-2 [33%], DENV-3 [47%], and DENV-4 [0.1%]) were found circulating during the study period. Our findings suggest the need for an active surveillance system coupled with the laboratory diagnosis, especially in the chronic endemic areas of the country. Public awareness programs are needed for effective control and prevention of outbreaks in the future.Entities:
Keywords: Dengue; Epidemiology; Pakistan; Real-time RT-PCR; Serotypes
Mesh:
Substances:
Year: 2017 PMID: 28029002 PMCID: PMC5203993 DOI: 10.3343/alm.2017.37.2.151
Source DB: PubMed Journal: Ann Lab Med ISSN: 2234-3806 Impact factor: 3.464
Demographic and molecular characteristics of dengue cases in Khyber Pakhtunkhwa (KPK) province, Pakistan, 2013-2015
| Years | Total Samples tested | Real-Time PCR positive | Positivity % | Male | Female | District | Month of onset | DENV-1 | DENV-2 | DENV-3 | DENV-4 | Mixed |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013 | 323 | 196 | 61 | 212 | 111 | Swat, Mansehra | Sep, Oct, Nov | 24 | 45 | 64 | 1 | 62 |
| 2014 | 270 | 140 | 52 | 172 | 98 | Swat | Sep, Oct | 13 | 59 | 68 | 0 | 0 |
| 2015 | 677 | 326 | 48 | 482 | 195 | Kohat, Malakand, Mansehra | Aug, Sep, Oct | 0 | 115 | 179 | 0 | 32 |
| Total | 1,270 | 662 | 866 | 404 | 37 | 219 | 311 | 1 | 94 |
Fig. 1Results of real-time reverse transcriptase (RT)-PCR according to the days after onset of symptoms.