{"title":"新冠肺炎危机中的印度：好的、坏的和丑的","authors":"S. Negi","doi":"10.22502/JLMC.V8I1.346","DOIUrl":null,"url":null,"abstract":"Beating the statistics: With a population of over a billion, high population density with overcrowding especially in metropolis and underdeveloped health infrastructure, the projections for corona virus disease (COVID-19) pandemic were not in favour of India. Most statistical models had predicted over 5 lakh cases and more than 38,000 deaths and warned that India must prepare for a tsunami of COVID-19 cases. The situation appeared to be grimmer given that the incidence of diabetes, hypertension and respiratory diseases due to tuberculosis andair pollution is higher amongst Indians which are known risk factors for severe disease and death due to COVID-19.","PeriodicalId":16109,"journal":{"name":"Journal of Lumbini Medical College","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"India Amidst COVID-19 Crisis: The Good, The Bad and The Ugly\",\"authors\":\"S. Negi\",\"doi\":\"10.22502/JLMC.V8I1.346\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Beating the statistics: With a population of over a billion, high population density with overcrowding especially in metropolis and underdeveloped health infrastructure, the projections for corona virus disease (COVID-19) pandemic were not in favour of India. Most statistical models had predicted over 5 lakh cases and more than 38,000 deaths and warned that India must prepare for a tsunami of COVID-19 cases. The situation appeared to be grimmer given that the incidence of diabetes, hypertension and respiratory diseases due to tuberculosis andair pollution is higher amongst Indians which are known risk factors for severe disease and death due to COVID-19.\",\"PeriodicalId\":16109,\"journal\":{\"name\":\"Journal of Lumbini Medical College\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-05-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Lumbini Medical College\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.22502/JLMC.V8I1.346\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Lumbini Medical College","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.22502/JLMC.V8I1.346","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
India Amidst COVID-19 Crisis: The Good, The Bad and The Ugly
Beating the statistics: With a population of over a billion, high population density with overcrowding especially in metropolis and underdeveloped health infrastructure, the projections for corona virus disease (COVID-19) pandemic were not in favour of India. Most statistical models had predicted over 5 lakh cases and more than 38,000 deaths and warned that India must prepare for a tsunami of COVID-19 cases. The situation appeared to be grimmer given that the incidence of diabetes, hypertension and respiratory diseases due to tuberculosis andair pollution is higher amongst Indians which are known risk factors for severe disease and death due to COVID-19.
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