The Experts below are selected from a list of 185901 Experts worldwide ranked by ideXlab platform

Prajna Anirvan - One of the best experts on this subject based on the ideXlab platform.

  • SCRUB TYPHUS- A FORGOTTEN Disease- Re-Emergence
    Level Up Business Center, 2018
    Co-Authors: Sreemanta Madhab Baruah, Rashmi Rajkakati, Prajna Anirvan
    Abstract:

    BACKGROUND Scrub typhus is a Rickettsial Disease caused by Orientia tsutsugamushi. Although it is a neglected Disease in India, in recent years there have been reports from several states of the country, indicating the resurgence of the Disease. Aim- To study the clinico-epidemiological pattern of scrub typhus among patients in Assam Medical College and Hospital, Dibrugarh, a tertiary care medical centre. MATERIALS AND METHODS Scrub typhus cases, suspected clinically and confirmed by IgM ELISA were analysed over a period of seven months. RESULTS Total number of cases was 19. The maximum number of cases was in the age group of 41-60 years (36.8%). Of the 19 cases, 17 were male (89.5%). 17 cases were reported from urban areas (89.5%). Fever was the most common symptom (100%), followed by altered sensorium (63.15%). CONCLUSION There has been a Re-Emergence of scrub typhus in this part of the country. Early diagnosis and prompt treatment are effective

Sreemanta Madhab Baruah - One of the best experts on this subject based on the ideXlab platform.

  • SCRUB TYPHUS- A FORGOTTEN Disease- Re-Emergence
    Level Up Business Center, 2018
    Co-Authors: Sreemanta Madhab Baruah, Rashmi Rajkakati, Prajna Anirvan
    Abstract:

    BACKGROUND Scrub typhus is a Rickettsial Disease caused by Orientia tsutsugamushi. Although it is a neglected Disease in India, in recent years there have been reports from several states of the country, indicating the resurgence of the Disease. Aim- To study the clinico-epidemiological pattern of scrub typhus among patients in Assam Medical College and Hospital, Dibrugarh, a tertiary care medical centre. MATERIALS AND METHODS Scrub typhus cases, suspected clinically and confirmed by IgM ELISA were analysed over a period of seven months. RESULTS Total number of cases was 19. The maximum number of cases was in the age group of 41-60 years (36.8%). Of the 19 cases, 17 were male (89.5%). 17 cases were reported from urban areas (89.5%). Fever was the most common symptom (100%), followed by altered sensorium (63.15%). CONCLUSION There has been a Re-Emergence of scrub typhus in this part of the country. Early diagnosis and prompt treatment are effective

Rashmi Rajkakati - One of the best experts on this subject based on the ideXlab platform.

  • SCRUB TYPHUS- A FORGOTTEN Disease- Re-Emergence
    Level Up Business Center, 2018
    Co-Authors: Sreemanta Madhab Baruah, Rashmi Rajkakati, Prajna Anirvan
    Abstract:

    BACKGROUND Scrub typhus is a Rickettsial Disease caused by Orientia tsutsugamushi. Although it is a neglected Disease in India, in recent years there have been reports from several states of the country, indicating the resurgence of the Disease. Aim- To study the clinico-epidemiological pattern of scrub typhus among patients in Assam Medical College and Hospital, Dibrugarh, a tertiary care medical centre. MATERIALS AND METHODS Scrub typhus cases, suspected clinically and confirmed by IgM ELISA were analysed over a period of seven months. RESULTS Total number of cases was 19. The maximum number of cases was in the age group of 41-60 years (36.8%). Of the 19 cases, 17 were male (89.5%). 17 cases were reported from urban areas (89.5%). Fever was the most common symptom (100%), followed by altered sensorium (63.15%). CONCLUSION There has been a Re-Emergence of scrub typhus in this part of the country. Early diagnosis and prompt treatment are effective

John M Drake - One of the best experts on this subject based on the ideXlab platform.

  • disentangling reporting and Disease transmission using second order statistics
    bioRxiv, 2017
    Co-Authors: Eamon B Odea, John M Drake
    Abstract:

    Second order statistics such as the variance and autocorrelation can be useful indicators of the stability of randomly perturbed systems, in some cases providing early warning of an impending, dramatic change in the system9s dynamics. One specific application area of interest is the surveillance of infectious Diseases. In the context of Disease (re-)emergence, a goal could be to have an indicator that is informative of whether the system is approaching the epidemic threshold, a point beyond which a major outbreak becomes possible. Prior work in this area has provided some proof of this principle but has not analytically treated the effect of imperfect observation on the behavior of indicators. This work provides expected values for several moments of the number of reported cases, where reported cases follow a binomial or negative binomial distribution with a mean based on the number of deaths in a birth-death-immigration process over some reporting interval. The normalized second factorial moment and the decay time of the number of case reports are two indicators that are insensitive to the reporting probability. Simulation is used to show how this insensitivity could be used to distinguish a trend of increased reporting from a trend of increased transmission. The simulation study also illustrates both the high variance of estimates and the possibility of reducing the variance by averaging over an ensemble of estimates from multiple time series.

Eamon B Odea - One of the best experts on this subject based on the ideXlab platform.

  • disentangling reporting and Disease transmission using second order statistics
    bioRxiv, 2017
    Co-Authors: Eamon B Odea, John M Drake
    Abstract:

    Second order statistics such as the variance and autocorrelation can be useful indicators of the stability of randomly perturbed systems, in some cases providing early warning of an impending, dramatic change in the system9s dynamics. One specific application area of interest is the surveillance of infectious Diseases. In the context of Disease (re-)emergence, a goal could be to have an indicator that is informative of whether the system is approaching the epidemic threshold, a point beyond which a major outbreak becomes possible. Prior work in this area has provided some proof of this principle but has not analytically treated the effect of imperfect observation on the behavior of indicators. This work provides expected values for several moments of the number of reported cases, where reported cases follow a binomial or negative binomial distribution with a mean based on the number of deaths in a birth-death-immigration process over some reporting interval. The normalized second factorial moment and the decay time of the number of case reports are two indicators that are insensitive to the reporting probability. Simulation is used to show how this insensitivity could be used to distinguish a trend of increased reporting from a trend of increased transmission. The simulation study also illustrates both the high variance of estimates and the possibility of reducing the variance by averaging over an ensemble of estimates from multiple time series.