India may need an additional metric to assess the endemicity of malaria in low surveillance districts

India’s National Framework for malaria elimination is essentially dependent on Annual Parasite Incidence (API). API is the primary criterion for classifying states and districts into different categories: intensified control, pre-elimination, elimination, prevention and re-establishment of malaria....

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Main Authors: Chander Prakash Yadav, Sanjeev Gupta, Praveen K. Bharti, Manju Rahi, Nafis Faizi, Amit Sharma
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLOS Global Public Health
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021988/?tool=EBI
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author Chander Prakash Yadav
Sanjeev Gupta
Praveen K. Bharti
Manju Rahi
Nafis Faizi
Amit Sharma
author_facet Chander Prakash Yadav
Sanjeev Gupta
Praveen K. Bharti
Manju Rahi
Nafis Faizi
Amit Sharma
author_sort Chander Prakash Yadav
collection DOAJ
description India’s National Framework for malaria elimination is essentially dependent on Annual Parasite Incidence (API). API is the primary criterion for classifying states and districts into different categories: intensified control, pre-elimination, elimination, prevention and re-establishment of malaria. However, API’s validity is critically dependent on multiple factors, one such important factor is Annual Blood Examination Rate (ABER) and is often considered as indicator of operational efficiency. Therefore, the present study aimed to determine whether the API is a sufficiently good malaria index to assess malaria endemicity in India. An in-depth analysis of malaria data (2017–19) was done to determine the appropriateness of API as a sole indicator of malaria endemicity. We stratified the Indian districts into three strata based on Annual Blood Examination Rate (ABER): <5, 5.0–5.0, >15, further APIs was compared with Slide Positivity Rates (SPRs) using sign rank test, independently in each stratum. API and SPR were found comparable (p-value 0.323) in stratum 2 only. However, in the case of lower ABER (<5%, strata 1), the API was significantly lower than the SPR, and higher ABER (>15%), the API was found substantially higher than the SPR. Thus, ABER tunes the validity of API and should avoid to use as a single indicator of malaria endemicity. API is an appropriate measure of malaria endemicity in high and moderate transmission areas where surveillance is good (ABER≥5%). However, it is vitally dependent upon surveillance rate and other factors such as population size, the selection of individuals for malaria testing. Therefore, where surveillance is poor (<5%), we propose that API should be complemented with SPR and the number of cases. It will significantly aid the design and deployment of interventions in India.
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spelling doaj.art-f8d19c80d8cb472f9a0b164d1099d9db2023-09-03T09:20:31ZengPublic Library of Science (PLoS)PLOS Global Public Health2767-33752022-01-01211India may need an additional metric to assess the endemicity of malaria in low surveillance districtsChander Prakash YadavSanjeev GuptaPraveen K. BhartiManju RahiNafis FaiziAmit SharmaIndia’s National Framework for malaria elimination is essentially dependent on Annual Parasite Incidence (API). API is the primary criterion for classifying states and districts into different categories: intensified control, pre-elimination, elimination, prevention and re-establishment of malaria. However, API’s validity is critically dependent on multiple factors, one such important factor is Annual Blood Examination Rate (ABER) and is often considered as indicator of operational efficiency. Therefore, the present study aimed to determine whether the API is a sufficiently good malaria index to assess malaria endemicity in India. An in-depth analysis of malaria data (2017–19) was done to determine the appropriateness of API as a sole indicator of malaria endemicity. We stratified the Indian districts into three strata based on Annual Blood Examination Rate (ABER): <5, 5.0–5.0, >15, further APIs was compared with Slide Positivity Rates (SPRs) using sign rank test, independently in each stratum. API and SPR were found comparable (p-value 0.323) in stratum 2 only. However, in the case of lower ABER (<5%, strata 1), the API was significantly lower than the SPR, and higher ABER (>15%), the API was found substantially higher than the SPR. Thus, ABER tunes the validity of API and should avoid to use as a single indicator of malaria endemicity. API is an appropriate measure of malaria endemicity in high and moderate transmission areas where surveillance is good (ABER≥5%). However, it is vitally dependent upon surveillance rate and other factors such as population size, the selection of individuals for malaria testing. Therefore, where surveillance is poor (<5%), we propose that API should be complemented with SPR and the number of cases. It will significantly aid the design and deployment of interventions in India.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021988/?tool=EBI
spellingShingle Chander Prakash Yadav
Sanjeev Gupta
Praveen K. Bharti
Manju Rahi
Nafis Faizi
Amit Sharma
India may need an additional metric to assess the endemicity of malaria in low surveillance districts
PLOS Global Public Health
title India may need an additional metric to assess the endemicity of malaria in low surveillance districts
title_full India may need an additional metric to assess the endemicity of malaria in low surveillance districts
title_fullStr India may need an additional metric to assess the endemicity of malaria in low surveillance districts
title_full_unstemmed India may need an additional metric to assess the endemicity of malaria in low surveillance districts
title_short India may need an additional metric to assess the endemicity of malaria in low surveillance districts
title_sort india may need an additional metric to assess the endemicity of malaria in low surveillance districts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10021988/?tool=EBI
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