印度可能需要一个额外的指标来评估疟疾在监测不足地区的流行情况。

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

作者信息

Yadav Chander Prakash, Gupta Sanjeev, Bharti Praveen K, Rahi Manju, Faizi Nafis, Sharma Amit

机构信息

ICMR-National Institute of Malaria Research (NIMR), New Delhi, India.

Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India.

出版信息

PLOS Glob Public Health. 2022 Nov 10;2(11):e0000326. doi: 10.1371/journal.pgph.0000326. eCollection 2022.

Abstract

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.

摘要

印度消除疟疾国家框架基本依赖年度寄生虫发病率(API)。API是将各邦和地区划分为不同类别的主要标准:强化控制、消除前、消除、疟疾预防和重新建立。然而,API的有效性严重依赖多个因素,其中一个重要因素是年度血检率(ABER),它常被视为业务效率的指标。因此,本研究旨在确定API是否是评估印度疟疾流行程度的足够好的疟疾指标。对疟疾数据(2017 - 19年)进行了深入分析,以确定API作为疟疾流行程度唯一指标的适用性。我们根据年度血检率(ABER)将印度各地区分为三个层次:<5、5.0 - 15、>15,然后在每个层次中独立使用符号秩检验将API与玻片阳性率(SPR)进行比较。仅在第2层次中发现API和SPR具有可比性(p值0.323)。然而,在ABER较低(<5%,第1层次)的情况下,API显著低于SPR,而在ABER较高(>15%)时,API显著高于SPR。因此,ABER调整了API的有效性,应避免将其用作疟疾流行程度的单一指标。在监测良好(ABER≥5%)的高传播和中传播地区,API是衡量疟疾流行程度的合适指标。然而,它严重依赖监测率以及其他因素,如人口规模、疟疾检测个体的选择。因此,在监测较差(<5%)的地区,我们建议API应辅以SPR和病例数。这将极大地有助于印度干预措施的设计和部署。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2ac2/10021988/65e8f1a01cc5/pgph.0000326.g001.jpg

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