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2.
Article in English | IMSEAR | ID: sea-170216

ABSTRACT

Background & objectives: Chikungunya (CHIK) fever is a mosquito-borne disease caused by chikungunya virus (CHIKV). Chikungunya infection was first reported from India in 1963 from Kolkata. We report the serological and molecular evidence of an outbreak of chikungunya in northeast India that occurred in Tura, a hilly and forested terrain in Garo Hills district of Meghalaya. Methods: blood samples (3 ml) collected from hospitalized patients during the outbreak were tested for IgM antibodies against CHIKV and followed up four months later. A repeat survey was carried out in the same area after four months from where cases had been reported. Blood samples were also collected from people with history of fever and body ache in the last four months. Persons showing IgM positivity against CHIKV in the repeat survey were followed up one and a half years later. All samples were also processed by RT-PCR assay for CHIK Envelope (E) 1 gene. Immature mosquitoes were collected, link reared and identified with standard keys. Virus incrimination studies were done on Aedes aegypti and Ae. albopictus mosquitoes collected during the survey. Results: Fever, headache and joint pain were the primary clinical presentations. Twenty three (35.93 %) of 64 samples reported during the outbreak were IgM positive for CHIK. Three samples showed PCR amplification. All these were IgM positive. The sequenced E1 gene revealed that the strains belonged to East Central South African (ECSA) genotype. Interpretation & conclusions: Field survey done after four months revealed that some individuals still had joint pain associated with episodes of headache and fever. It could be inferred that these persons might have contracted infection during the CHIK outbreak four months ago or during the intervening period which caused persistence of sequelae. ECSA genotype was found to be involved in the outbreak. Aedes albopictus was the predominant mosquito species collected during the outbreak.

3.
Article in English | IMSEAR | ID: sea-155342

ABSTRACT

Background & objectives: Dengue is an arboviral disease of public health importance in many parts of India and recently many cases have been reported from northeastern India. Aedes mosquitoes, which are the vectors of dengue, are widely prevalent in the region. A study was initiated in Sonitpur district of Assam to understand the spatiotemporal distribution and seasonal prevalence of dengue vectors and to identify the high risk zones. Methods: Ovitrap surveys were conducted in three randomly selected villages under each of the eight public health centres (PHC) in district Sonitpur of Assam, northeastern India during March 2011 - February 2012. Three risk zones (high, medium and low) were identified on the basis of per trap density of Aedes mosquitoes. Meteorological data were collected to study the temporal distribution of dengue vectors. Results: Aedes albopictus (99.3%) was the predominant dengue vector followed by Ae. aegypti (0.7%) recorded in the ovitraps. The highest vector density was observed during the post-monsoon (60.1 ± 18 per trap) while the lowest during the winter (7.6 ± 4.9 per trap) and the season-wise differences in the vector density were significant (p=0.005). Maximum temperature (correlation coefficient, r = 0.45) and minimum temperature (r = 0.408) showed the highest positive correlation with the vector density, whereas the number of rainy days showed high positive correlation (r = 0.185) than the total rainfall (r = 0.117). The high risk zone (Dekhiajuli, Behali, Bihaguri and Gohpur PHC) as indicated by the high larval densities of dengue vectors, 45.3 ± 18, 42.1 ± 22.3, 36.9 ± 29.1, 35.3 ± 22.6 per trap, respectively, was validated by dengue epidemiological data collected during 2012. Interpretation & conclusions: Yearlong monitoring of dengue vectors was done for the first time in this region. Monthly maximum temperature and the number of rainy days could be used for the prediction of larval density of Aedes mosquitoes. The identification high dengue risk zones would help in adopting targeted interventions for disease management in future.

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