Kohima: According to a recent study conducted by scholars at Stanford University, which evaluated the reporting quality of COVID-19 surveillance data, Nagaland scored the highest among all states in India.
“Our recent findings show that the quality of surveillance data reporting in Nagaland is the best in the country. Nagaland scores highest in our metric because of high quality granular data reporting through weekly bulletins,” the researchers told the state’s health and family welfare department.
The report is said to be the largest of its kind to assess the quality of COVID-19 data reporting in India, a comprehensive assessment of national and subnational government digital platforms (web and mobile) that identified what is present and what is missing in the reporting of surveillance data, bed availability, and vaccination monitoring data.
According to Indian PhD scholars Abhenaya Gnanaskeran and Varun Vasudevan who were part of the team led by Professor James Zou from Stanford University and the weekly bulletin provided by the health department in Nagaland, the state government has empowered people to get proactive about their health.
It pointed out that the age, gender, comorbidity data of deaths that were provided in the state’s weekly bulletin showed “high quality granular surveillance reporting”. As per its surveillance reporting score, Nagaland scores the highest with 0.61 followed by Kerala with a 0.57 score.
The overall study, which evaluated the reporting quality of surveillance, vaccination, and vacant bed availability data across the country since May 2020, concluded that by not reporting granular details, governments are making a choice to make certain information invisible to the scientific community and the public.
It said that as researchers and health professionals, their goal here is to advocate for change through measurement, as it showed the specifics and magnitude of missing granular data across India through a semi-quantitative approach.
It suggested that Governments in India should recognize the importance of reporting granular data and make it a priority before the next wave of COVID-19. Further, the study recommended that age and gender distribution for cases and deaths, and comorbidities for deaths, followed by details of serious/severe AEFI cases, and vaccination coverage for each dose stratified by eligibility category, should also be recorded.
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