Eco-epidemiological analysis of dengue infection during an outbreak of dengue fever, India

Chakravarti, Anita; Kumaria, Rajni

doi:10.1186/1743-422x-2-32

Cited by 116 publications

(41 citation statements)

References 10 publications

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“…It has risen to epidemic proportions and is endemic to many areas, both urban and rural. In our study highest prevalence was seen in the age groups between 11-50 years and with male preponderance which is seen in other studies also (Gupta et al, 2006;Chakravarti et al, 2005;Sarkar et al, 2012). The sensitivity of the rapid ICT tests for NS1 Ag& IgM in our study was more than 90%, and specificity more than 98% when compared to ELISA.…”

Section: Resultssupporting

confidence: 70%

Comparative Analysis of Rapid Dengue Testing and ELISA for NS1 Antigen and IgM in Acute Dengue Infection

Reddy¹,

Sahai²,

Malik³

et al. 2016

Int.J.Curr.Microbiol.App.Sci

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Section: Resultssupporting

confidence: 70%

Comparative Analysis of Rapid Dengue Testing and ELISA for NS1 Antigen and IgM in Acute Dengue Infection

Reddy¹,

Sahai²,

Malik³

et al. 2016

Int.J.Curr.Microbiol.App.Sci

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“…In this study age wise distribution showed the involvement of all age groups with significant number in adults of 21-30 years in comparison to children and people above 50 years of age. Other countries of south Asia also showed similar findings of infection in same age group 21-30 years (Chakravarti & Kumaria, 2005). Age group 21-30 years was also seen prominent in some previous studies in India.…”

Section: Discussionsupporting

confidence: 85%

Frequency of Dengue virus Infection among Febrile Patients of Lahore

Malik¹,

Javed²,

Wasim³

et al. 2017

GJHS

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Background: Dengue virus infection is one of the major global public health problems. The infection usually occurs with clinical manifestations ranging from an asymptomatic or mild febrile illness as classical dengue fever to the potentially life-threatening illness, dengue hemorrhagic fever and dengue shock syndrome. The objective of the current study was to observe the frequency and diagnosis of primary or secondary dengue viral infection among individuals in Lahore city, Pakistan.Methods: Study subjects were identified for the presence of dengue diagnostic markers including NS1 antigen, IgM and IgG antibody. The dengue specific antigen NS1 was detected by immonochromatography, while dengue specific antibodies (IgM and IgG) were measured through ELISA.Results: Total 98 (56%) out of 175 febrile cases were found infected by dengue virus. From total 98 confirmed dengue cases, NS1 antigen was detected in 59 (60.20%), IgM antibodies were present in 74 (75.51%) and IgG antibodies were detected in 40 (40.81%) individuals. Statistical analysis reveals correlation of NS1 antigen and IgM antibody among dengue patients with significant P-value (P < 0.01). Results indicated that 58 (59%) were infected by primary infection and 40 (41%) were infected by secondary infection. The most effected age group was 21-30 years (51.02%) and least effected age group was <10 years (3.06%). Males were observed higher in number 61 (62%) as compare to females 37 (38%). Overall, the frequency of dengue virus infections were 56% among undifferentiated febrile patients in Lahore city, Pakistan. Conclusion:Dengue is found endemic in city population with increased incidence in monsoon and post monsoon. Constant vigilance of patients and dengue vector control awareness programs among public and health care officials could support in combating dengue.

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“…Moreover, the daily minimum temperature and an increase in the rainfall from the previous month were associated with increase in the larval abundance [20]. Thus there is a collective contribution of temperature and humidity on dengue outbreaks triggered by the feeding activity, survival and development of vectors [21]. …”

Section: Introductionmentioning

confidence: 99%

Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks

et al. 2017

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Dengue is one of the major hurdles to the public health in Sri Lanka, causing high morbidity and mortality. The present study focuses on the use of geographical information systems (GIS) to map and evaluate the spatial and temporal distribution of dengue in Sri Lanka from 2009 to 2014 and to elucidate the association of climatic factors with dengue incidence. Epidemiological, population and meteorological data were collected from the Epidemiology Unit, Department of Census and Statistics and the Department of Meteorology of Sri Lanka. Data were analyzed using SPSS (Version 20, 2011) and R studio (2012) and the maps were generated using Arc GIS 10.2. The dengue incidence showed a significant positive correlation with rainfall (p<0.0001). No positive correlation was observed between dengue incidence and temperature (p = 0.107) or humidity (p = 0.084). Rainfall prior to 2 and 5 months and a rise in the temperature prior to 9 months positively correlated with dengue incidence as based on the auto-correlation values. A rise in humidity prior to 1 month had a mild positive correlation with dengue incidence. However, a rise in humidity prior to 9 months had a significant negative correlation with dengue incidence based on the auto-correlation values. Remote sensing and GIS technologies give near real time utility of climatic data together with the past dengue incidence for the prediction of dengue outbreaks. In that regard, GIS will be applicable in outbreak predictions including prompt identification of locations with dengue incidence and forecasting future risks and thus direct control measures to minimize major outbreaks.

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Eco-epidemiological analysis of dengue infection during an outbreak of dengue fever, India

Cited by 116 publications

References 10 publications

Comparative Analysis of Rapid Dengue Testing and ELISA for NS1 Antigen and IgM in Acute Dengue Infection

Comparative Analysis of Rapid Dengue Testing and ELISA for NS1 Antigen and IgM in Acute Dengue Infection

Frequency of Dengue virus Infection among Febrile Patients of Lahore

Effect of Climatic Factors and Population Density on the Distribution of Dengue in Sri Lanka: A GIS Based Evaluation for Prediction of Outbreaks

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