SERO-EPIDEMIOLOGY OF DENGUE VIRUS INFECTION IN CITIES OF INDONESIA

Autor: Soegeng Soegijanto, Kris Cahyo Mulyanto, Siti Churotin, Tomohiro Kotaki, Masa Nori Kamioka, Eiji Konichi, Atsusi Yamanaka, Dyah Wikanesthi
Jazyk: angličtina
Rok vydání: 2013
Předmět:
Zdroj: Indonesian Journal of Tropical and Infectious Disease, Vol 4, Iss 4, Pp 26-29 (2013)
Druh dokumentu: article
ISSN: 2085-1103
2356-0991
DOI: 10.20473/ijtid.v4i4.229
Popis: Background: Dengue Virus Infektion is major public health problem in Indonesia. Aedesaegypti is widespread in both urban and rural areas, where multiple virus Serotype are circulating. On 2013 outbreak of dengue virus infection occur in East Java. Therefore study seroepidemiology in Bangkalan and Lombok had been done. Aim: to find a mutated strain of Dengue Virus in 4 cities of Indonesia. Method: On 2011 and 2012 seroepidemiology study had been done in Dr. Soetomo Surabaya and Soerya Sidoarjo Hospital; and on 2013 study had been done in Surabaya, Bangkalan and Lombok Hospital . Diagnosis of Dengue Virus Infection was based on Criteri WHO - 2009. Virus isolation in Surabaya, Sidoarjo, Bangkalan and Lombok had been done. Result: a total of 349 isolate were obtained from dengue patients sera collected in Surabaya and Sidoarjo, 2011–2012 showed that Den V1 (182), Den V2 (20) Den V4 (1) were found in Surabaya on 2011 and Den V 1 (79) , Den V 2 (7) were found in Surabaya on 2012; Den V1 (40), Den V 2 (3) were found in Sidoarjo on 2011 and Den V 1 (17) were found in Sidoarjo on 2012; Virus isolation in Surabaya on 2013, January: 237 serum sample were collected, found Den V 1 (8), Den V 3 (2) and Den V 4 (5). And PCR stereotyping of isolated viruses in Madura found Den V 1 (1) and Den V 4 (23). In Lombok found Den V 4 (4).It is possible to shift predominant strain in Surabaya , Genotype or Serotype shift might increase the number of dengue patients. Conclusion: there were shift predominant strain in Surabaya especially Den V 1. Therefore to continuous surveillance of circulating viruses is required to predict the risk of DHF and DF.
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