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Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020

BACKGROUND: Compared to 2017, India achieved a significant reduction in malaria cases in 2020. Madhya Pradesh (MP) is a tribal dominated state of India with history of high malaria burden in some districts. District Mandla of MP state showed a considerable decline in malaria cases between 2000 and 2...

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Autores principales: Singh, Mrigendra P., Rajvanshi, Harsh, Bharti, Praveen K., Jayswar, Himanshu, Singh, Srinath, Mehra, R. K., Pandey, Manoj, Sahu, Ram Shankar, Patel, Brajesh, Bhalavi, Ramji, Nisar, Sekh, Kaur, Harpreet, Das, Aparup, Hamer, Davidson H., Lal, Altaf A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901400/
https://www.ncbi.nlm.nih.gov/pubmed/36747302
http://dx.doi.org/10.1186/s12936-023-04477-7
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author Singh, Mrigendra P.
Rajvanshi, Harsh
Bharti, Praveen K.
Jayswar, Himanshu
Singh, Srinath
Mehra, R. K.
Pandey, Manoj
Sahu, Ram Shankar
Patel, Brajesh
Bhalavi, Ramji
Nisar, Sekh
Kaur, Harpreet
Das, Aparup
Hamer, Davidson H.
Lal, Altaf A.
author_facet Singh, Mrigendra P.
Rajvanshi, Harsh
Bharti, Praveen K.
Jayswar, Himanshu
Singh, Srinath
Mehra, R. K.
Pandey, Manoj
Sahu, Ram Shankar
Patel, Brajesh
Bhalavi, Ramji
Nisar, Sekh
Kaur, Harpreet
Das, Aparup
Hamer, Davidson H.
Lal, Altaf A.
author_sort Singh, Mrigendra P.
collection PubMed
description BACKGROUND: Compared to 2017, India achieved a significant reduction in malaria cases in 2020. Madhya Pradesh (MP) is a tribal dominated state of India with history of high malaria burden in some districts. District Mandla of MP state showed a considerable decline in malaria cases between 2000 and 2013, except in 2007. Subsequently, a resurgence of malaria cases was observed during 2014 and 2015. The Malaria Elimination Demonstration Project (MEDP) was launched in 2017 in Mandla with the goal to achieve zero indigenous malaria cases. This project used: (1) active surveillance and case management using T4 (Track fever, Test fever, Treat patient, and Track patient); (2) vector control using indoor residual sprays and long-lasting insecticidal nets; (3) information education communication and behaviour change communication; and (4) regular monitoring and evaluation with an emphasis on operational and management accountability. This study has investigated malaria prevalence trends from 2008 to 2020, and has predicted trends for the next 5 years for Mandla and its bordering districts. METHODS: The malaria prevalence data of the district Mandla for the period of January 2008 to August 2017 was obtained from District Malaria Office (DMO) Mandla and data for the period of September 2017 to December 2020 was taken from MEDP data repository. Further, the malaria prevalence data for the period of January 2008 to December 2020 was collected from DMOs of the neighbouring districts of Mandla. A univariate time series and forecast analysis was performed using seasonal autoregressive integrated moving average model. FINDINGS: Malaria prevalence in Mandla showed a sharp decline [− 87% (95% CI − 90%, − 84%)] from 2017 to 2020. The malaria forecast for Mandla predicts zero cases in the next 5 years (2021–2025), provided current interventions are sustained. By contrast, the model has forecasted a risk of resurgence of malaria in other districts in MP (Balaghat, Dindori, Jabalpur, Seoni, and Kawardha) that were not the part of MEDP. CONCLUSION: The interventions deployed as part of MEDP have resulted in a sustainable zero indigenous malaria cases in Mandla. Use of similar strategies in neighbouring and other malaria-endemic districts in India could achieve similar results. However, without adding extra cost to the existing intervention, sincere efforts are needed to sustain these interventions and their impact using accountability framework, data transparency, and programme ownership from state to district level.
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spelling pubmed-99014002023-02-07 Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020 Singh, Mrigendra P. Rajvanshi, Harsh Bharti, Praveen K. Jayswar, Himanshu Singh, Srinath Mehra, R. K. Pandey, Manoj Sahu, Ram Shankar Patel, Brajesh Bhalavi, Ramji Nisar, Sekh Kaur, Harpreet Das, Aparup Hamer, Davidson H. Lal, Altaf A. Malar J Research BACKGROUND: Compared to 2017, India achieved a significant reduction in malaria cases in 2020. Madhya Pradesh (MP) is a tribal dominated state of India with history of high malaria burden in some districts. District Mandla of MP state showed a considerable decline in malaria cases between 2000 and 2013, except in 2007. Subsequently, a resurgence of malaria cases was observed during 2014 and 2015. The Malaria Elimination Demonstration Project (MEDP) was launched in 2017 in Mandla with the goal to achieve zero indigenous malaria cases. This project used: (1) active surveillance and case management using T4 (Track fever, Test fever, Treat patient, and Track patient); (2) vector control using indoor residual sprays and long-lasting insecticidal nets; (3) information education communication and behaviour change communication; and (4) regular monitoring and evaluation with an emphasis on operational and management accountability. This study has investigated malaria prevalence trends from 2008 to 2020, and has predicted trends for the next 5 years for Mandla and its bordering districts. METHODS: The malaria prevalence data of the district Mandla for the period of January 2008 to August 2017 was obtained from District Malaria Office (DMO) Mandla and data for the period of September 2017 to December 2020 was taken from MEDP data repository. Further, the malaria prevalence data for the period of January 2008 to December 2020 was collected from DMOs of the neighbouring districts of Mandla. A univariate time series and forecast analysis was performed using seasonal autoregressive integrated moving average model. FINDINGS: Malaria prevalence in Mandla showed a sharp decline [− 87% (95% CI − 90%, − 84%)] from 2017 to 2020. The malaria forecast for Mandla predicts zero cases in the next 5 years (2021–2025), provided current interventions are sustained. By contrast, the model has forecasted a risk of resurgence of malaria in other districts in MP (Balaghat, Dindori, Jabalpur, Seoni, and Kawardha) that were not the part of MEDP. CONCLUSION: The interventions deployed as part of MEDP have resulted in a sustainable zero indigenous malaria cases in Mandla. Use of similar strategies in neighbouring and other malaria-endemic districts in India could achieve similar results. However, without adding extra cost to the existing intervention, sincere efforts are needed to sustain these interventions and their impact using accountability framework, data transparency, and programme ownership from state to district level. BioMed Central 2023-02-06 /pmc/articles/PMC9901400/ /pubmed/36747302 http://dx.doi.org/10.1186/s12936-023-04477-7 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Singh, Mrigendra P.
Rajvanshi, Harsh
Bharti, Praveen K.
Jayswar, Himanshu
Singh, Srinath
Mehra, R. K.
Pandey, Manoj
Sahu, Ram Shankar
Patel, Brajesh
Bhalavi, Ramji
Nisar, Sekh
Kaur, Harpreet
Das, Aparup
Hamer, Davidson H.
Lal, Altaf A.
Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
title Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
title_full Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
title_fullStr Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
title_full_unstemmed Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
title_short Evaluation of the model malaria elimination strategy in Mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
title_sort evaluation of the model malaria elimination strategy in mandla district along with its neighbouring districts: a time series analysis from 2008 to 2020
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9901400/
https://www.ncbi.nlm.nih.gov/pubmed/36747302
http://dx.doi.org/10.1186/s12936-023-04477-7
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