Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India

Autor: Pushkar Dubey, Aritra Das, Khushbu Priyamvada, Joy Bindroo, Tanmay Mahapatra, Prabhas Kumar Mishra, Ankur Kumar, Ana O. Franco, Basab Rooj, Bikas Sinha, Sreya Pradhan, Indranath Banerjee, Manash Kumar, Nasreen Bano, Chandan Kumar, Chandan Prasad, Parna Chakraborty, Rakesh Kumar, Niraj Kumar, Aditya Kumar, Abhishek Kumar Singh, Kumar Kundan, Sunil Babu, Hemant Shah, Morchan Karthick, Nupur Roy, Naresh Kumar Gill, Shweta Dwivedi, Indrajit Chaudhuri, Allen W. Hightower, Lloyd A C. Chapman, Chandramani Singh, Madan Prasad Sharma, Neeraj Dhingra, Caryn Bern, Sridhar Srikantiah
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Frontiers in Cellular and Infection Microbiology, Vol 11 (2021)
Druh dokumentu: article
ISSN: 2235-2988
DOI: 10.3389/fcimb.2021.648903
Popis: As India moves toward the elimination of visceral leishmaniasis (VL) as a public health problem, comprehensive timely case detection has become increasingly important, in order to reduce the period of infectivity and control outbreaks. During the 2000s, localized research studies suggested that a large percentage of VL cases were never reported in government data. However, assessments conducted from 2013 to 2015 indicated that 85% or more of confirmed cases were eventually captured and reported in surveillance data, albeit with significant delays before diagnosis. Based on methods developed during these assessments, the CARE India team evolved new strategies for active case detection (ACD), applicable at large scale while being sufficiently effective in reducing time to diagnosis. Active case searches are triggered by the report of a confirmed VL case, and comprise two major search mechanisms: 1) case identification based on the index case’s knowledge of other known VL cases and searches in nearby houses (snowballing); and 2) sustained contact over time with a range of private providers, both formal and informal. Simultaneously, house-to-house searches were conducted in 142 villages of 47 blocks during this period. We analyzed data from 5030 VL patients reported in Bihar from January 2018 through July 2019. Of these 3033 were detected passively and 1997 via ACD (15 (0.8%) via house-to-house and 1982 (99.2%) by light touch ACD methods). We constructed multinomial logistic regression models comparing time intervals to diagnosis (30-59, 60-89 and ≥90 days with =90 days compared to the referent of
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