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Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India
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 la...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024686/ https://www.ncbi.nlm.nih.gov/pubmed/33842396 http://dx.doi.org/10.3389/fcimb.2021.648903 |
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author | Dubey, Pushkar Das, Aritra Priyamvada, Khushbu Bindroo, Joy Mahapatra, Tanmay Mishra, Prabhas Kumar Kumar, Ankur Franco, Ana O. Rooj, Basab Sinha, Bikas Pradhan, Sreya Banerjee, Indranath Kumar, Manash Bano, Nasreen Kumar, Chandan Prasad, Chandan Chakraborty, Parna Kumar, Rakesh Kumar, Niraj Kumar, Aditya Singh, Abhishek Kumar Kundan, Kumar Babu, Sunil Shah, Hemant Karthick, Morchan Roy, Nupur Gill, Naresh Kumar Dwivedi, Shweta Chaudhuri, Indrajit Hightower, Allen W. Chapman, Lloyd A C. Singh, Chandramani Sharma, Madan Prasad Dhingra, Neeraj Bern, Caryn Srikantiah, Sridhar |
author_facet | Dubey, Pushkar Das, Aritra Priyamvada, Khushbu Bindroo, Joy Mahapatra, Tanmay Mishra, Prabhas Kumar Kumar, Ankur Franco, Ana O. Rooj, Basab Sinha, Bikas Pradhan, Sreya Banerjee, Indranath Kumar, Manash Bano, Nasreen Kumar, Chandan Prasad, Chandan Chakraborty, Parna Kumar, Rakesh Kumar, Niraj Kumar, Aditya Singh, Abhishek Kumar Kundan, Kumar Babu, Sunil Shah, Hemant Karthick, Morchan Roy, Nupur Gill, Naresh Kumar Dwivedi, Shweta Chaudhuri, Indrajit Hightower, Allen W. Chapman, Lloyd A C. Singh, Chandramani Sharma, Madan Prasad Dhingra, Neeraj Bern, Caryn Srikantiah, Sridhar |
author_sort | Dubey, Pushkar |
collection | PubMed |
description | 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 <30 days as the referent). ACD and younger age were associated with shorter time to diagnosis, while male sex and HIV infection were associated with longer illness durations. The advantage of ACD over PCD was more marked for longer illness durations: the adjusted odds ratios for having illness durations of 30-59, 60-89 and >=90 days compared to the referent of <30 days for ACD vs PCD were 0.88, 0.56 and 0.42 respectively. These ACD strategies not only reduce time to diagnosis, and thus risk of transmission, but also ensure that there is a double check on the proportion of cases actually getting captured. Such a process can supplement passive case detection efforts that must go on, possibly perpetually, even after elimination as a public health problem is achieved. |
format | Online Article Text |
id | pubmed-8024686 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-80246862021-04-08 Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India Dubey, Pushkar Das, Aritra Priyamvada, Khushbu Bindroo, Joy Mahapatra, Tanmay Mishra, Prabhas Kumar Kumar, Ankur Franco, Ana O. Rooj, Basab Sinha, Bikas Pradhan, Sreya Banerjee, Indranath Kumar, Manash Bano, Nasreen Kumar, Chandan Prasad, Chandan Chakraborty, Parna Kumar, Rakesh Kumar, Niraj Kumar, Aditya Singh, Abhishek Kumar Kundan, Kumar Babu, Sunil Shah, Hemant Karthick, Morchan Roy, Nupur Gill, Naresh Kumar Dwivedi, Shweta Chaudhuri, Indrajit Hightower, Allen W. Chapman, Lloyd A C. Singh, Chandramani Sharma, Madan Prasad Dhingra, Neeraj Bern, Caryn Srikantiah, Sridhar Front Cell Infect Microbiol Cellular and Infection Microbiology 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 <30 days as the referent). ACD and younger age were associated with shorter time to diagnosis, while male sex and HIV infection were associated with longer illness durations. The advantage of ACD over PCD was more marked for longer illness durations: the adjusted odds ratios for having illness durations of 30-59, 60-89 and >=90 days compared to the referent of <30 days for ACD vs PCD were 0.88, 0.56 and 0.42 respectively. These ACD strategies not only reduce time to diagnosis, and thus risk of transmission, but also ensure that there is a double check on the proportion of cases actually getting captured. Such a process can supplement passive case detection efforts that must go on, possibly perpetually, even after elimination as a public health problem is achieved. Frontiers Media S.A. 2021-03-24 /pmc/articles/PMC8024686/ /pubmed/33842396 http://dx.doi.org/10.3389/fcimb.2021.648903 Text en Copyright © 2021 Dubey, Das, Priyamvada, Bindroo, Mahapatra, Mishra, Kumar, Franco, Rooj, Sinha, Pradhan, Banerjee, Kumar, Bano, Kumar, Prasad, Chakraborty, Kumar, Kumar, Kumar, Singh, Kundan, Babu, Shah, Karthick, Roy, Gill, Dwivedi, Chaudhuri, Hightower, Chapman, Singh, Sharma, Dhingra, Bern and Srikantiah http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Cellular and Infection Microbiology Dubey, Pushkar Das, Aritra Priyamvada, Khushbu Bindroo, Joy Mahapatra, Tanmay Mishra, Prabhas Kumar Kumar, Ankur Franco, Ana O. Rooj, Basab Sinha, Bikas Pradhan, Sreya Banerjee, Indranath Kumar, Manash Bano, Nasreen Kumar, Chandan Prasad, Chandan Chakraborty, Parna Kumar, Rakesh Kumar, Niraj Kumar, Aditya Singh, Abhishek Kumar Kundan, Kumar Babu, Sunil Shah, Hemant Karthick, Morchan Roy, Nupur Gill, Naresh Kumar Dwivedi, Shweta Chaudhuri, Indrajit Hightower, Allen W. Chapman, Lloyd A C. Singh, Chandramani Sharma, Madan Prasad Dhingra, Neeraj Bern, Caryn Srikantiah, Sridhar Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India |
title | Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India |
title_full | Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India |
title_fullStr | Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India |
title_full_unstemmed | Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India |
title_short | Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India |
title_sort | development and evaluation of active case detection methods to support visceral leishmaniasis elimination in india |
topic | Cellular and Infection Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8024686/ https://www.ncbi.nlm.nih.gov/pubmed/33842396 http://dx.doi.org/10.3389/fcimb.2021.648903 |
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