Division of Epidemiology and Communicable Diseases, Indian Council of Medical Research, New Delhi 110 029, India.
National Institute of Malaria Research, New Delhi 110 077, India.
J Public Health (Oxf). 2022 Aug 25;44(3):527-531. doi: 10.1093/pubmed/fdab106.
Malaria surveillance is weak in high malaria burden countries. Surveillance is considered as one of the core interventions for malaria elimination. Impressive reductions in malaria-associated morbidity and mortality have been achieved across the globe, but sustained efforts need to be bolstered up to achieve malaria elimination in endemic countries like India. Poor surveillance data become a hindrance in assessing the progress achieved towards malaria elimination and in channelizing focused interventions to the hotspots. A major obstacle in strengthening India's reporting systems is that the surveillance data are captured in a fragmented manner by multiple players, in silos, and is distributed across geographic regions. In addition, the data are not reported in near real-time. Furthermore, multiplicity of malaria data resources limits interoperability between them. Here, we deliberate on the acute need of updating India's surveillance systems from the use of aggregated data to near real-time case-based surveillance. This will help in identifying the drivers of malaria transmission in any locale and therefore will facilitate formulation of appropriate interventional responses rapidly.
疟疾监测在疟疾负担高的国家很薄弱。监测被认为是消除疟疾的核心干预措施之一。全球在减少疟疾相关发病率和死亡率方面取得了显著进展，但仍需持续努力，以实现在印度等流行国家消除疟疾的目标。监测数据不佳会阻碍评估在消除疟疾方面取得的进展，并难以将重点干预措施集中到热点地区。加强印度报告系统的主要障碍是，监测数据由多个参与者以碎片化的方式分别收集，存储在不同的地方，分布在不同的地理区域。此外，数据不是实时报告的。此外，疟疾数据资源的多样性限制了它们之间的互操作性。在这里，我们强调迫切需要将印度的监测系统从使用汇总数据更新为基于实时病例的监测。这将有助于确定任何地方疟疾传播的驱动因素，从而能够快速制定适当的干预措施。
