Home > Research > Publications & Outputs > Development and Evaluation of Active Case Detec...

Links

Text available via DOI:

View graph of relations

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

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Published

Standard

Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India. / Dubey, Pushkar; Das, Aritra; Priyamvada, Khushbu et al.
In: Frontiers in cellular and infection microbiology, Vol. 11, 648903, 24.03.2021.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Dubey, P, Das, A, Priyamvada, K, Bindroo, J, Mahapatra, T, Mishra, PK, Kumar, A, Franco, AO, Rooj, B, Sinha, B, Pradhan, S, Banerjee, I, Kumar, M, Bano, N, Kumar, C, Prasad, C, Chakraborty, P, Kumar, R, Kumar, N, Kumar, A, Singh, AK, Kundan, K, Babu, S, Shah, H, Karthick, M, Roy, N, Gill, NK, Dwivedi, S, Chaudhuri, I, Hightower, AW, Chapman, LAC, Singh, C, Sharma, MP, Dhingra, N, Bern, C & Srikantiah, S 2021, 'Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India', Frontiers in cellular and infection microbiology, vol. 11, 648903. https://doi.org/10.3389/fcimb.2021.648903

APA

Dubey, P., Das, A., Priyamvada, K., Bindroo, J., Mahapatra, T., Mishra, P. K., Kumar, A., Franco, A. O., Rooj, B., Sinha, B., Pradhan, S., Banerjee, I., Kumar, M., Bano, N., Kumar, C., Prasad, C., Chakraborty, P., Kumar, R., Kumar, N., ... Srikantiah, S. (2021). Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India. Frontiers in cellular and infection microbiology, 11, Article 648903. https://doi.org/10.3389/fcimb.2021.648903

Vancouver

Dubey P, Das A, Priyamvada K, Bindroo J, Mahapatra T, Mishra PK et al. Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India. Frontiers in cellular and infection microbiology. 2021 Mar 24;11:648903. doi: 10.3389/fcimb.2021.648903

Author

Dubey, Pushkar ; Das, Aritra ; Priyamvada, Khushbu et al. / Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India. In: Frontiers in cellular and infection microbiology. 2021 ; Vol. 11.

Bibtex

@article{de0063f7625b4955a7ed3494bfdceece,
title = "Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India",
abstract = "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{\textquoteright}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.",
keywords = "active case detection, evaluation of active case detection, India, surveillance, visceral leishmaniasis, visceral leishmaniasis elimination",
author = "Pushkar Dubey and Aritra Das and Khushbu Priyamvada and Joy Bindroo and Tanmay Mahapatra and Mishra, {Prabhas Kumar} and Ankur Kumar and Franco, {Ana O.} and Basab Rooj and Bikas Sinha and Sreya Pradhan and Indranath Banerjee and Manash Kumar and Nasreen Bano and Chandan Kumar and Chandan Prasad and Parna Chakraborty and Rakesh Kumar and Niraj Kumar and Aditya Kumar and Singh, {Abhishek Kumar} and Kumar Kundan and Sunil Babu and Hemant Shah and Morchan Karthick and Nupur Roy and Gill, {Naresh Kumar} and Shweta Dwivedi and Indrajit Chaudhuri and Hightower, {Allen W.} and Chapman, {Lloyd A.C.} and Chandramani Singh and Sharma, {Madan Prasad} and Neeraj Dhingra and Caryn Bern and Sridhar Srikantiah",
note = "Publisher Copyright: {\textcopyright} Copyright {\textcopyright} 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.",
year = "2021",
month = mar,
day = "24",
doi = "10.3389/fcimb.2021.648903",
language = "English",
volume = "11",
journal = "Frontiers in cellular and infection microbiology",
issn = "2235-2988",
publisher = "NLM (Medline)",

}

RIS

TY - JOUR

T1 - Development and Evaluation of Active Case Detection Methods to Support Visceral Leishmaniasis Elimination in India

AU - Dubey, Pushkar

AU - Das, Aritra

AU - Priyamvada, Khushbu

AU - Bindroo, Joy

AU - Mahapatra, Tanmay

AU - Mishra, Prabhas Kumar

AU - Kumar, Ankur

AU - Franco, Ana O.

AU - Rooj, Basab

AU - Sinha, Bikas

AU - Pradhan, Sreya

AU - Banerjee, Indranath

AU - Kumar, Manash

AU - Bano, Nasreen

AU - Kumar, Chandan

AU - Prasad, Chandan

AU - Chakraborty, Parna

AU - Kumar, Rakesh

AU - Kumar, Niraj

AU - Kumar, Aditya

AU - Singh, Abhishek Kumar

AU - Kundan, Kumar

AU - Babu, Sunil

AU - Shah, Hemant

AU - Karthick, Morchan

AU - Roy, Nupur

AU - Gill, Naresh Kumar

AU - Dwivedi, Shweta

AU - Chaudhuri, Indrajit

AU - Hightower, Allen W.

AU - Chapman, Lloyd A.C.

AU - Singh, Chandramani

AU - Sharma, Madan Prasad

AU - Dhingra, Neeraj

AU - Bern, Caryn

AU - Srikantiah, Sridhar

N1 - Publisher Copyright: © 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.

PY - 2021/3/24

Y1 - 2021/3/24

N2 - 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.

AB - 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.

KW - active case detection

KW - evaluation of active case detection

KW - India

KW - surveillance

KW - visceral leishmaniasis

KW - visceral leishmaniasis elimination

U2 - 10.3389/fcimb.2021.648903

DO - 10.3389/fcimb.2021.648903

M3 - Journal article

C2 - 33842396

AN - SCOPUS:85103795686

VL - 11

JO - Frontiers in cellular and infection microbiology

JF - Frontiers in cellular and infection microbiology

SN - 2235-2988

M1 - 648903

ER -