Geospatial clustering, seasonal trend and forecasting of Kyasanur Forest Disease in the state of Goa, India, 2015–2018 View Full Text


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Article Info

DATE

2020-04-28

AUTHORS

Annet Oliveira, Kalaiselvi Selvaraj, Jaya Prasad Tripathy, Utkarsh Betodkar, Jagadish Cacodcar, Nikhita Quadros, Abhijit Wadkar

ABSTRACT

Introduction: Five states in India are reporting sporadic outbreaks of Kyasanur Forest Disease (KFD). Goa experienced an outbreak of KFD in 2015. It remains as an important differential diagnosis for tropical fever in the endemic regions. Few studies among neighboring two states (Karnataka and Kerala) have described the epidemiological characteristics of KFD. However, there is no study which describes the same among cases in the state of Goa. Hence, we planned to understand the epidemiology (time, place, and person distribution) of the disease including seasonal pattern with forecasting using zero-inflated negative binomial regression and time series models. We also explored geo-spatial clustering of KFD cases in Goa during 2015-2018 which would help design effective intervention to curb its transmission in Goa. Results: Blood samples of all suspected cases of KFD during 2015 to 2018 were tested using reverse transcriptase-polymerase chain reaction technique. Reports of these results were periodically shared with the state surveillance unit. Records of 448 confirmed cases of KFD available at the State Integrated Disease Surveillance Programme were analyzed. The mean (SD) age of the patients was 41.6 (14.9) years. Of 143 cases with documented travel history, 135 (94.4%) had history of travel to forest for cashew plucking. Two thirds of cases (66.3%) did not receive KFD vaccine prior to the disease. Case fatality rate of 0.9% was reported. Seasonal peaks were observed during January to April, and forecasting demonstrated a peak in cases in the subsequent year also during January-April persisting till May. Around 40 villages located along the Western Ghats had reported KFD, and affected villages continued to report cases in the subsequent years also. Case density-based geographic maps show clustering of cases around the index village. Conclusion: Most of the confirmed cases did not receive any vaccination. KFD cases in Goa followed a specific seasonal pattern, and clustering of cases occurred in selected villages located in North Goa. Most of the patients who had suffered from the disease had visited the forest for cashew plucking. Planning for public health interventions such as health education and vaccination campaigns should consider these epidemiological features. More... »

PAGES

27

References to SciGraph publications

  • 2015-08-19. On the transmission pattern of Kyasanur Forest disease (KFD) in India in INFECTIOUS DISEASES OF POVERTY
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    http://scigraph.springernature.com/pub.10.1186/s41182-020-00213-y

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    http://dx.doi.org/10.1186/s41182-020-00213-y

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1127168997

    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/32355449


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