{"id":39542,"date":"2020-04-06T09:53:37","date_gmt":"2020-04-06T09:53:37","guid":{"rendered":"https:\/\/blogs.bmj.com\/bmjgh\/?p=39542"},"modified":"2020-04-08T07:41:25","modified_gmt":"2020-04-08T07:41:25","slug":"is-india-detecting-enough-cases-to-be-able-to-contain-covid-19-a-dive-into-sub-national-data","status":"publish","type":"post","link":"https:\/\/blogs.bmj.com\/bmjgh\/2020\/04\/06\/is-india-detecting-enough-cases-to-be-able-to-contain-covid-19-a-dive-into-sub-national-data\/","title":{"rendered":"Is India detecting enough cases to be able to contain COVID-19?  A dive into sub-national data"},"content":{"rendered":"<p>In a bid to control COVID-19, India is in the midst of a 21- day lockdown. It is increasingly becoming clear that COVID-19 cannot be solved in a 21-day race. The big question on everyone&#8217;s mind is how, when, and in what form COVID-19 will end?<\/p>\n<p>Successful containment comprises tracking the disease transmission within a community through active surveillance, extensive testing, isolation of COVID-19 cases, further contact tracing, and quarantine. The lockdown measures (mitigation) aimed to slow the rate at which further spread of the virus occurs and reduces the anticipated surge while expanding the testing and treatment capabilities. The Government of India has taken a significant step to build the capacity of more tests. So far, India has conducted 47 tests per million of the population, which is low compared to that of other countries. In contrast, the UK\u00a0 has tested 2,753, USA, 4572, South Korea, 8800,\u00a0 Australia, 11291, and UAE, 22,918 tests million. As of 1<sup>st<\/sup> \u00a0April, the UK has tested 348 per 100,000 of the population, Italy 895 per 100,000, South Korea 842 per 100,000, USA 348 per 100,000, and 27 per 100,000 for Japan. In terms of volume, France conducts \u00a010,000 tests per week, UK 16,000, US 26,000, Germany 42,000, Italy 52,000, and South Korea 80,000 tests. In comparison, it is essential to have a closer look at the sub-national data instead of cumulative national data to assess how well the COVID-19 containment measures are implemented.<\/p>\n<p><strong>How are the states performing in containing?<\/strong><\/p>\n<p>Based on the available data in the public domain, we found the Indian states can be divided in four categories. Based on the testing rates and case fatality, we categorised (Table-1) the states which tested more than 38 tests per million (Median value of the tests conducted across all states of India) as good testing. Further, states with case fatality rate (CFR) higher than 2.3% (India\u2019s National Average Case fatality) was considered as state with high CFR.<\/p>\n<p>We used the population projections for India and States for 2020 from the 2011 Census and the current number of confirmed COVID-19 cases, deaths and tests to derive the cases per million, tests per million, and Case fatality proportion for the population. The number of tests conducted was sourced from the State&#8217;s Health Department Website as on 5<sup>th<\/sup> April, many states did not have the data updated on their websites, and the information was sought from Media Bulletin and press articles.<\/p>\n<ul>\n<li><strong>States with a high rate of testing and low case fatality:<\/strong> Delhi, Kerala, Rajasthan, Tamil Nadu are states with a higher number of testing labs (15, 12, 8, 18 testing labs respectively) and relatively stronger presence and performance of healthcare institutions to treat the COVID 19 cases. A lower case fatality (&lt;2.3%) reflects early diagnosis, better outcomes with clinical management.<\/li>\n<li><strong>States with a high rate of testing and high case fatality<\/strong>: Karnataka and Maharashtra states have a higher number of laboratories respectively for testing and have conducted more than 70 tests per million population. However, the case fatality can be higher due to a higher proportion of COVID19 patients in the elderly group, with higher comorbidities and due to delayed detection of cases.<\/li>\n<li><strong>States with a low rate of testing, low case fatality<\/strong>: Arunachal Pradesh, Jharkhand, and Uttar Pradesh have been slow in their response and have conducted less than 13 tests per million hence their CFR is also less than 0.8%<\/li>\n<li><strong>States with a low rate of testing, high case fatality<\/strong>: Bihar, Madhya Pradesh, West Bengal, although highly populated, have a lesser number of testing facilities. They have conducted less than 20 tests per million and have CFR between 3 -5%. On the other hand Gujarat, Himachal Pradesh and Telangana have conducted less than 40 tests per million residents.<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-39543 size-large\" src=\"https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1024x646.jpg\" alt=\"\" width=\"640\" height=\"404\" srcset=\"https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1024x646.jpg 1024w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-300x189.jpg 300w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-768x485.jpg 768w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-640x404.jpg 640w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture.jpg 1361w\" sizes=\"auto, (max-width: 640px) 100vw, 640px\" \/><\/li>\n<\/ul>\n<p>Within India, Kerala, which reported the first case in India on January 30, 2020, has the highest testing rate of 276 tests per million population and has one of the least case fatality of 0. 65%. In contrast, Madhya Pradesh, Bihar, Punjab, West Bengal, and Gujarat have higher case fatality proportion (3to 9%) compared to the national average (2.3%). These states might have missed detecting cases in early-stage, delayed hospitalization, or higher proportion of elderly or with comorbidities might be getting infected and detected late or do not have adequate specialized hospital care.\u00a0 With less than 15 tests per million population and proportion of the positive cases of total tests is less than 2%, the states of West Bengal, Jharkhand, Uttar Pradesh, and Madhya Pradesh are probably missing cases.\u00a0 Other states such as Bihar, Manipur, Telangana, Himachal Pradesh, Uttarakhand, Gujarat, Odisha are doing less than 40 tests per million population; these states need to increase the number of tests by improving surveillance. As of now, best performing states are Kerala,\u00a0 Goa, Rajasthan, Delhi, and Chandigarh, which are doing a significant number of tests and are detecting a higher number of cases.<\/p>\n<p>In summary, containment measures need to be improved in all states by increasing the number of tests. Also, syndromic surveillance and symptomatic quarantine measures are useful strategies to improve containment measures. States which have inadequate testing, poor early detection efforts, and higher case fatality will pose greater challenges in the future. If the cases are not detected early, then those who develop complications cannot be referred timely and, therefore, can succumb. Also, the planning efforts will get impeded as there is no data to inform on the disease trends in the state.<\/p>\n<p><span style=\"text-decoration: underline\"><em><strong>Editorial Note : BMJ Global Health Blogs is not peer-reviewed.\u00a0<\/strong><\/em><\/span><\/p>\n<p><strong>State-wise COVID-19 tests, cases per million population and case fatality, India<\/strong><\/p>\n<table width=\"709\">\n<tbody>\n<tr>\n<td width=\"37\">\n<p style=\"text-align: center\"><strong>\u00a0<\/strong><\/p>\n<\/td>\n<td width=\"104\"><strong>State \/ UT<\/strong><\/td>\n<td width=\"56\"><strong>Cases<\/strong><\/td>\n<td width=\"95\"><strong>Cured\/ Discharged<\/strong><\/p>\n<p><strong>\/ Migrated<\/strong><\/td>\n<td width=\"66\"><strong>Death<\/strong><\/td>\n<td width=\"100\"><strong>Prevalence per Million<\/strong><\/td>\n<td width=\"68\"><strong>Tests<\/strong><\/td>\n<td width=\"87\"><strong>Tests per million residents<\/strong><\/td>\n<td width=\"96\"><strong>Case Fatality rate<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>1<\/strong><\/td>\n<td width=\"104\">Andhra Pradesh<\/td>\n<td width=\"56\">190<\/td>\n<td width=\"95\">1<\/td>\n<td width=\"66\">1<\/td>\n<td width=\"100\">3.62<\/td>\n<td width=\"68\">2769<\/td>\n<td width=\"87\">52.74<\/td>\n<td width=\"96\">0.53<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>2<\/strong><\/td>\n<td width=\"104\">Andaman &amp; Nicobar<\/td>\n<td width=\"56\">10<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">25.06<\/td>\n<td width=\"68\">114<\/td>\n<td width=\"87\">285.71<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>3<\/strong><\/td>\n<td width=\"104\">Assam<\/td>\n<td width=\"56\">26<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.75<\/td>\n<td width=\"68\">1529<\/td>\n<td width=\"87\">44.11<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>4<\/strong><\/td>\n<td width=\"104\">Bihar<\/td>\n<td width=\"56\">30<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">1<\/td>\n<td width=\"100\">0.25<\/td>\n<td width=\"68\">2291<\/td>\n<td width=\"87\">18.89<\/td>\n<td width=\"96\">3.33<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>5<\/strong><\/td>\n<td width=\"104\">Chandigarh<\/td>\n<td width=\"56\">18<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">15.09<\/td>\n<td width=\"68\">114<\/td>\n<td width=\"87\">95.56<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>6<\/strong><\/td>\n<td width=\"104\">Chhattisgarh<\/td>\n<td width=\"56\">9<\/td>\n<td width=\"95\">3<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.31<\/td>\n<td width=\"68\">1412<\/td>\n<td width=\"87\">48.51<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>7<\/strong><\/td>\n<td width=\"104\">Delhi<\/td>\n<td width=\"56\">503<\/td>\n<td width=\"95\">18<\/td>\n<td width=\"66\">7<\/td>\n<td width=\"100\">24.91<\/td>\n<td width=\"68\">3100<\/td>\n<td width=\"87\">153.52<\/td>\n<td width=\"96\">1.39<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>8<\/strong><\/td>\n<td width=\"104\">Goa<\/td>\n<td width=\"56\">7<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">4.52<\/td>\n<td width=\"68\">279<\/td>\n<td width=\"87\">180.12<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>9<\/strong><\/td>\n<td width=\"104\">Gujarat<\/td>\n<td width=\"56\">122<\/td>\n<td width=\"95\">18<\/td>\n<td width=\"66\">11<\/td>\n<td width=\"100\">1.77<\/td>\n<td width=\"68\">2568<\/td>\n<td width=\"87\">37.29<\/td>\n<td width=\"96\">9.02<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>10<\/strong><\/td>\n<td width=\"104\">Haryana<\/td>\n<td width=\"56\">59<\/td>\n<td width=\"95\">25<\/td>\n<td width=\"66\">1<\/td>\n<td width=\"100\">2.03<\/td>\n<td width=\"68\">1430<\/td>\n<td width=\"87\">49.18<\/td>\n<td width=\"96\">1.69<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>11<\/strong><\/td>\n<td width=\"104\">Himachal Pradesh<\/td>\n<td width=\"56\">6<\/td>\n<td width=\"95\">1<\/td>\n<td width=\"66\">1<\/td>\n<td width=\"100\">0.82<\/td>\n<td width=\"68\">270<\/td>\n<td width=\"87\">36.75<\/td>\n<td width=\"96\">16.67<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>12<\/strong><\/td>\n<td width=\"104\">Jammu and Kashmir<\/td>\n<td width=\"56\">106<\/td>\n<td width=\"95\">4<\/td>\n<td width=\"66\">2<\/td>\n<td width=\"100\">7.97<\/td>\n<td width=\"68\">588<\/td>\n<td width=\"87\">44.19<\/td>\n<td width=\"96\">1.89<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>13<\/strong><\/td>\n<td width=\"104\">Jharkhand<\/td>\n<td width=\"56\">3<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.08<\/td>\n<td width=\"68\">196<\/td>\n<td width=\"87\">5.17<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>14<\/strong><\/td>\n<td width=\"104\">Karnataka<\/td>\n<td width=\"56\">144<\/td>\n<td width=\"95\">12<\/td>\n<td width=\"66\">4<\/td>\n<td width=\"100\">2.17<\/td>\n<td width=\"68\">5061<\/td>\n<td width=\"87\">76.31<\/td>\n<td width=\"96\">2.78<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>15<\/strong><\/td>\n<td width=\"104\">Kerala<\/td>\n<td width=\"56\">306<\/td>\n<td width=\"95\">49<\/td>\n<td width=\"66\">2<\/td>\n<td width=\"100\">8.67<\/td>\n<td width=\"68\">9744<\/td>\n<td width=\"87\">275.98<\/td>\n<td width=\"96\">0.65<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>16<\/strong><\/td>\n<td width=\"104\">Ladakh<\/td>\n<td width=\"56\">14<\/td>\n<td width=\"95\">10<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">47.46<\/td>\n<td width=\"68\">352<\/td>\n<td width=\"87\">1193.22<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>17<\/strong><\/td>\n<td width=\"104\">Madhya Pradesh<\/td>\n<td width=\"56\">165<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">9<\/td>\n<td width=\"100\">1.98<\/td>\n<td width=\"68\">604<\/td>\n<td width=\"87\">7.24<\/td>\n<td width=\"96\">5.45<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>18<\/strong><\/td>\n<td width=\"104\">Maharashtra<\/td>\n<td width=\"56\">490<\/td>\n<td width=\"95\">42<\/td>\n<td width=\"66\">24<\/td>\n<td width=\"100\">3.97<\/td>\n<td width=\"68\">11400<\/td>\n<td width=\"87\">92.46<\/td>\n<td width=\"96\">4.90<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>19<\/strong><\/td>\n<td width=\"104\">Manipur<\/td>\n<td width=\"56\">2<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.64<\/td>\n<td width=\"68\">66<\/td>\n<td width=\"87\">21.06<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>20<\/strong><\/td>\n<td width=\"104\">Mizoram<\/td>\n<td width=\"56\">1<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.83<\/td>\n<td width=\"68\">NR<\/td>\n<td width=\"87\">0.00<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>21<\/strong><\/td>\n<td width=\"104\">Odisha<\/td>\n<td width=\"56\">20<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.46<\/td>\n<td width=\"68\">1699<\/td>\n<td width=\"87\">38.74<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>22<\/strong><\/td>\n<td width=\"104\">Puducherry<\/td>\n<td width=\"56\">5<\/td>\n<td width=\"95\">1<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">3.25<\/td>\n<td width=\"68\">NR<\/td>\n<td width=\"87\">0.00<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>23<\/strong><\/td>\n<td width=\"104\">Punjab<\/td>\n<td width=\"56\">57<\/td>\n<td width=\"95\">1<\/td>\n<td width=\"66\">5<\/td>\n<td width=\"100\">1.89<\/td>\n<td width=\"68\">1260<\/td>\n<td width=\"87\">41.86<\/td>\n<td width=\"96\">8.77<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>24<\/strong><\/td>\n<td width=\"104\">Rajasthan<\/td>\n<td width=\"56\">200<\/td>\n<td width=\"95\">21<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">2.56<\/td>\n<td width=\"68\">12279<\/td>\n<td width=\"87\">156.87<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>25<\/strong><\/td>\n<td width=\"104\">Tamil Nadu<\/td>\n<td width=\"56\">485<\/td>\n<td width=\"95\">6<\/td>\n<td width=\"66\">3<\/td>\n<td width=\"100\">6.38<\/td>\n<td width=\"68\">4612<\/td>\n<td width=\"87\">60.65<\/td>\n<td width=\"96\">0.62<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>26<\/strong><\/td>\n<td width=\"104\">Telangana<\/td>\n<td width=\"56\">269<\/td>\n<td width=\"95\">32<\/td>\n<td width=\"66\">7<\/td>\n<td width=\"100\">7.18<\/td>\n<td width=\"68\">1341<\/td>\n<td width=\"87\">35.79<\/td>\n<td width=\"96\">2.60<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>27<\/strong><\/td>\n<td width=\"104\">Uttarakhand<\/td>\n<td width=\"56\">22<\/td>\n<td width=\"95\">2<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">1.95<\/td>\n<td width=\"68\">416<\/td>\n<td width=\"87\">36.91<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>28<\/strong><\/td>\n<td width=\"104\">Uttar Pradesh<\/td>\n<td width=\"56\">227<\/td>\n<td width=\"95\">19<\/td>\n<td width=\"66\">2<\/td>\n<td width=\"100\">1.00<\/td>\n<td width=\"68\">2430<\/td>\n<td width=\"87\">10.66<\/td>\n<td width=\"96\">0.88<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>29<\/strong><\/td>\n<td width=\"104\">West Bengal<\/td>\n<td width=\"56\">80<\/td>\n<td width=\"95\">10<\/td>\n<td width=\"66\">3<\/td>\n<td width=\"100\">0.82<\/td>\n<td width=\"68\">1042<\/td>\n<td width=\"87\">10.69<\/td>\n<td width=\"96\">3.75<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>30<\/strong><\/td>\n<td width=\"104\">Meghalaya<\/td>\n<td width=\"56\">NR<\/td>\n<td width=\"95\">NR<\/td>\n<td width=\"66\">NR<\/td>\n<td width=\"100\">0.00<\/td>\n<td width=\"68\">NR<\/td>\n<td width=\"87\">0.00<\/td>\n<td width=\"96\">NR<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>31<\/strong><\/td>\n<td width=\"104\">Nagaland<\/td>\n<td width=\"56\">NR<\/td>\n<td width=\"95\">NR<\/td>\n<td width=\"66\">NR<\/td>\n<td width=\"100\">0.00<\/td>\n<td width=\"68\">22<\/td>\n<td width=\"87\">10.13<\/td>\n<td width=\"96\">NR<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>32<\/strong><\/td>\n<td width=\"104\">Sikkim<\/td>\n<td width=\"56\">0<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.00<\/td>\n<td width=\"68\">120<\/td>\n<td width=\"87\">179.10<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>33<\/strong><\/td>\n<td width=\"104\">Tripura<\/td>\n<td width=\"56\">NR<\/td>\n<td width=\"95\">NR<\/td>\n<td width=\"66\">NR<\/td>\n<td width=\"100\">0.00<\/td>\n<td width=\"68\">NR<\/td>\n<td width=\"87\">0.00<\/td>\n<td width=\"96\">NR<\/td>\n<\/tr>\n<tr>\n<td width=\"37\"><strong>34<\/strong><\/td>\n<td width=\"104\">Arunachal Pradesh<\/td>\n<td width=\"56\">1<\/td>\n<td width=\"95\">0<\/td>\n<td width=\"66\">0<\/td>\n<td width=\"100\">0.66<\/td>\n<td width=\"68\">19<\/td>\n<td width=\"87\">12.51<\/td>\n<td width=\"96\">0.00<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><span style=\"font-size: 1rem\">Data sources: end of article : NR= Not reported<\/span><\/p>\n<p><strong>Time to step-up <\/strong><\/p>\n<p>It is more than two months since the first observed COVID19 case was diagnosed in India. We still have minimal data to understand the epidemiological trajectory of COVID 19 in India. The biggest limitation for our analysis is that state-wise testing, detection, and case-specific details are not made available in the public domain.\u00a0 We urge\u00a0 that data should be made publicly available so that researchers can analyse and inform the policy actions.<\/p>\n<p>&nbsp;<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\" wp-image-39545 aligncenter\" src=\"https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1-1024x557.jpg\" alt=\"\" width=\"694\" height=\"378\" srcset=\"https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1-1024x557.jpg 1024w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1-300x163.jpg 300w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1-768x418.jpg 768w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1-1536x835.jpg 1536w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1-640x348.jpg 640w, https:\/\/blogs.bmj.com\/bmjgh\/files\/2020\/04\/Capture-1.jpg 1545w\" sizes=\"auto, (max-width: 694px) 100vw, 694px\" \/><\/p>\n<p>ICMR has now widened the testing criteria for COVID-19. This is a significant move, and all states need to step-up their testing capabilities. It is time for the states to implement surveillance measures based on the syndromic approach. The next few weeks are critical to enhance the containment measures by preventing community outbreaks, minimize the spread by early detection, treatment, and providing optimized care for all patients, especially the seriously ill. The first step in this to detect every probable COVID-19 case. Next is to establish the diagnosis by validated tests, isolate cases and provide early clinical management. The action is now at the state level. If done well, the containment measures can help minimize the impact of the epidemic on health systems, social services, and economic activity.<\/p>\n<p><span style=\"text-decoration: underline\"><em><strong>Editorial Note : BMJ Global Health Blogs is not peer-reviewed.\u00a0<\/strong><\/em><\/span><\/p>\n<p><strong>Acknowledgments<\/strong>: We thank Solomon T for help on illustrations.<\/p>\n<p><strong>About the authors<\/strong>:<\/p>\n<p>Dr.Giridhara R Babu is a Professor and Head, Life Course Epidemiology at Public Health Foundation of India. He is an intermediate fellow of Wellcome Trust-DBT India Alliance and is the P.I of @_MAASTHI cohort. His research focus lies in life course epidemiology by identifying the early markers and thereby contribute to the prevention and management of NCDs. He has spent more than six years in disease surveillance and epidemic response. @epigiri<\/p>\n<p>Deepa R is Research associate at the Public Health Foundation of India and a Ph.D. fellow at Maastricht University. Her research interest lies in studying Nutritional markers in pregnant women and adverse birth outcomes.@deepasheregar<\/p>\n<p>Dr. Tarun Bhatnagar is a Scientist at ICMR-National Institute of Epidemiology, ICMR, Chennai. His areas of interests include epidemiology methods, HIV epidemiology, and infectious disease epidemiology @tarunb20<\/p>\n<p><strong>Competing interests<\/strong>: None<\/p>\n<p><strong>Data Sources\u00a0<\/strong><\/p>\n<p><em>Number of Cases, death, cured source: Ministry of Health and Family Welfare, Govt of India, https:\/\/www.mohfw.gov.in\/\u00a0 accessed on 5 April 2020<\/em><\/p>\n<p><em>Census of India.:Population Projections for India and States 2011 \u2013 2036, November 2019.: <\/em><\/p>\n<p><em>*Karnataka number of tests conducted: https:\/\/karunadu.karnataka.gov.in\/hfw\/kannada\/Pages\/covid19-db.aspx obtained on 5 April 2020<\/em><\/p>\n<p><em>#Kerala number of tests conducted: http:\/\/dhs.kerala.gov.in\/wp-content\/uploads\/2020\/04\/Daily-Bulletin-HFWD-English-April-1.pdf obtained on 5 April 2020<\/em><\/p>\n<p><em>MadhyaPradesh: <\/em><a href=\"http:\/\/mphealthresponse.nhmmp.gov.in\/covid\/\"><em>http:\/\/mphealthresponse.nhmmp.gov.in\/covid\/<\/em><\/a> <em>obtained on 5 April 2020<\/em><\/p>\n<p><em>Gujarat number of tests conducted:<\/em> <a href=\"https:\/\/gujcovid19.gujarat.gov.in\/\"><em>https:\/\/gujcovid19.gujarat.gov.in\/<\/em><\/a> <em>obtained on 5 April 2020<\/em><\/p>\n<p><em>Tamilnadu number of tests conducted: <\/em><a href=\"https:\/\/stopcorona.tn.gov.in\/\"><em>https:\/\/stopcorona.tn.gov.in\/<\/em><\/a> <em>obtained on 5 April 2020<\/em><\/p>\n<p><em>Rajasthan \u00a0number of tests conducted: <\/em><a href=\"http:\/\/www.rajswasthya.nic.in\/\"><em>http:\/\/www.rajswasthya.nic.in\/<\/em><\/a> <em>obtained on 5 April 2020<\/em><\/p>\n<p><em>Andhrapradesh number of tests conducted : http:\/\/hmfw.ap.gov.in\/covid_dashboard.aspx<\/em> <em>obtained on 5 April 2020<\/em><\/p>\n<p><em>Andaman: Covid-19: The remote islands of Andamans aren\u2019t spared, either &#8211; The Hindu BusinessLine<\/em> <em>Published on March 31, 2020<\/em><\/p>\n<p><em>Himachal Pradesh:<\/em> <em>COVID-19 Himachal: Three More Test Positive, Had Returned from Tablighi Jam<\/em><\/p>\n<p><em>MISC NEWS\/PRESS RELEASE. Published on April 2, 2020<\/em><\/p>\n<p><em>Telangana:<\/em> <em>Wanted: A One-Stop Source for All COVID-19 Case Data in India29 March,<\/em> <a href=\"https:\/\/thewire.in\/government\/wanted-a-one-stop-source-for-all-covid-19-case-data-in-india\"><em>https:\/\/thewire.in\/government\/wanted-a-one-stop-source-for-all-covid-19-case-data-in-india<\/em><\/a><\/p>\n<p><em>Haryana:Govt of Haryana, Media Bulletin dated 4\/4\/2020<\/em><\/p>\n<p><em>West Bengal:<\/em> <em>Government of West Bengal Health &amp; family Welfare Department\u00a0 www.wbhealth.gov.in\u00a0 Bulletin\u00a0\u00a0 Date: 04.04.2020<\/em><\/p>\n<p><em>Maharashtra:<\/em> <em>Covid-19: We are testing about 1,200-1,300 samples a day, says BMC chief: 05 Apr 2020, Ridhima Saxena, Live mint<\/em><\/p>\n<p><em>Chattisgarh: State command and control Centre: Chattisgarh COVID 10 Status report,update 3 April 2019<\/em><\/p>\n<p><em>Goa: IDSP: Media Bulletin, 4 April 2019<\/em><\/p>\n<p><em>Punjab: Media Bulletin COVID 19, 1 April 2020<\/em><\/p>\n<p><em>Chandigarh: Media Bulletin COVID 19, 1 April 2020<\/em><\/p>\n<p><em>Bihar: Media Bulletin COVID 19, 4 April 2020<\/em><\/p>\n<p><em>Assam: Media Bulletin COVID 19, 4 April 2020<\/em><\/p>\n<p><em>Test conducted for other states: COVID-19 crisis: At 32 per million, India lags far behind on testing. Mar 31, 2020, Chetan Chauhan and Vijdan Mohammad Kawoosa, Hindustan Times, New Delhi<\/em><\/p>\n<p><em>Tests conducted not available for Mizoram, Puducherry, , Meghalaya, Tripura.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In a bid to control COVID-19, India is in the midst of a 21- day lockdown. It is increasingly becoming clear that COVID-19 cannot be solved in a 21-day race. The big question on everyone&#8217;s mind is how, when, and in what form COVID-19 will end? Successful containment comprises tracking the disease transmission within a [&#8230;]<\/p>\n<p><a class=\"btn btn-secondary understrap-read-more-link\" href=\"https:\/\/blogs.bmj.com\/bmjgh\/2020\/04\/06\/is-india-detecting-enough-cases-to-be-able-to-contain-covid-19-a-dive-into-sub-national-data\/\">Read More&#8230;<\/a><\/p>\n","protected":false},"author":350,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[25,172],"tags":[164,108,193,194],"class_list":["post-39542","post","type-post","status-publish","format-standard","hentry","category-communicable-disease","category-covid-19","tag-covid-19","tag-india","tag-sub-national","tag-testing"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.6 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Is India detecting enough cases to be able to contain COVID-19? 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