Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis

Visceral leishmaniasis (VL) is declining in India and the World Health Organization's (WHO) 2020 'elimination as a public health problem' target has nearly been achieved. Intensified combined interventions might help reach elimination, but their impact has not been assessed. WHO'...

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Main Authors: Kumar, V, Siddiqui, NA, Pollington, TM, Mandal, R, Das, S, Kesari, S, Das, VR, Pandey, K, Hollingsworth, TD, Chapman, LAC, Das, P
Other Authors: Viboud, C
Format: Journal article
Language:English
Published: Elsevier 2022
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author Kumar, V
Siddiqui, NA
Pollington, TM
Mandal, R
Das, S
Kesari, S
Das, VR
Pandey, K
Hollingsworth, TD
Chapman, LAC
Das, P
author2 Viboud, C
author_facet Viboud, C
Kumar, V
Siddiqui, NA
Pollington, TM
Mandal, R
Das, S
Kesari, S
Das, VR
Pandey, K
Hollingsworth, TD
Chapman, LAC
Das, P
author_sort Kumar, V
collection OXFORD
description Visceral leishmaniasis (VL) is declining in India and the World Health Organization's (WHO) 2020 'elimination as a public health problem' target has nearly been achieved. Intensified combined interventions might help reach elimination, but their impact has not been assessed. WHO's Neglected Tropical Diseases 2021&#x2013;2030 roadmap provides an opportunity to revisit VL control strategies. <br><br> We estimated the combined effect of a district-wide pilot of intensified interventions in the highly-endemic Vaishali district, where cases fell from 3,598 in 2012&#x2013;2014 to 762 in 2015&#x2013;2017. The intensified control approach comprised indoor residual spraying with improved supervision; VL-specific training for accredited social health activists to reduce onset-to-diagnosis time; and increased Information Education &amp; Communication activities in the community. We compared the rate of incidence decrease in Vaishali to other districts in Bihar state via an interrupted time series analysis with a spatiotemporal model informed by previous VL epidemiological estimates. <br><br> Changes in Vaishali's rank among Bihar's endemic districts in terms of monthly incidence showed a change pre-pilot (3rd highest out of 33 reporting districts) vs. during the pilot (9th) (p&lt;1e-10). The rate of decline in Vaishali's incidence saw no change in rank at 11th highest, both pre-pilot &amp; during the pilot. Counterfactual model simulations suggest an estimated median of 354 cases (IQR 234&#x2013;479) were averted by the Vaishali pilot between January 2015 and December 2017. <br><br> Strengthening control strategies may have precipitated a substantial change in VL incidence in Vaishali and suggests this approach should be piloted in other highly-endemic districts.
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spelling oxford-uuid:595f3700-3958-4de6-bfba-73afdd90b9f42022-05-11T11:41:56ZImpact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysisJournal articlehttp://purl.org/coar/resource_type/c_dcae04bcuuid:595f3700-3958-4de6-bfba-73afdd90b9f4EnglishSymplectic ElementsElsevier2022Kumar, VSiddiqui, NAPollington, TMMandal, RDas, SKesari, SDas, VRPandey, KHollingsworth, TDChapman, LACDas, PViboud, CVisceral leishmaniasis (VL) is declining in India and the World Health Organization's (WHO) 2020 'elimination as a public health problem' target has nearly been achieved. Intensified combined interventions might help reach elimination, but their impact has not been assessed. WHO's Neglected Tropical Diseases 2021&#x2013;2030 roadmap provides an opportunity to revisit VL control strategies. <br><br> We estimated the combined effect of a district-wide pilot of intensified interventions in the highly-endemic Vaishali district, where cases fell from 3,598 in 2012&#x2013;2014 to 762 in 2015&#x2013;2017. The intensified control approach comprised indoor residual spraying with improved supervision; VL-specific training for accredited social health activists to reduce onset-to-diagnosis time; and increased Information Education &amp; Communication activities in the community. We compared the rate of incidence decrease in Vaishali to other districts in Bihar state via an interrupted time series analysis with a spatiotemporal model informed by previous VL epidemiological estimates. <br><br> Changes in Vaishali's rank among Bihar's endemic districts in terms of monthly incidence showed a change pre-pilot (3rd highest out of 33 reporting districts) vs. during the pilot (9th) (p&lt;1e-10). The rate of decline in Vaishali's incidence saw no change in rank at 11th highest, both pre-pilot &amp; during the pilot. Counterfactual model simulations suggest an estimated median of 354 cases (IQR 234&#x2013;479) were averted by the Vaishali pilot between January 2015 and December 2017. <br><br> Strengthening control strategies may have precipitated a substantial change in VL incidence in Vaishali and suggests this approach should be piloted in other highly-endemic districts.
spellingShingle Kumar, V
Siddiqui, NA
Pollington, TM
Mandal, R
Das, S
Kesari, S
Das, VR
Pandey, K
Hollingsworth, TD
Chapman, LAC
Das, P
Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis
title Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis
title_full Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis
title_fullStr Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis
title_full_unstemmed Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis
title_short Impact of intensified control on visceral leishmaniasis in a highly-endemic district of Bihar, India: an interrupted time series analysis
title_sort impact of intensified control on visceral leishmaniasis in a highly endemic district of bihar india an interrupted time series analysis
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