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COVID-19 -Tuberculosis interactions: When dark forces collide.
Udwadia, Zarir F; Vora, Agam; Tripathi, Awatansh R; Malu, Ketan N; Lange, Christoph; Sara Raju, Reyma.
  • Udwadia ZF; P.D. Hinduja Hospital and Medical Research Centre, Mumbai, India. Electronic address: zfu@hindujahospital.com.
  • Vora A; Advanced Multispecialty Hospital, Mumbai, India.
  • Tripathi AR; P.D. Hinduja Hospital and Medical Research Centre, Mumbai, India.
  • Malu KN; P.D. Hinduja Hospital and Medical Research Centre, Mumbai, India.
  • Lange C; Clinical Infectious Diseases, Research Center Borstel, Borstel, 23845, Germany.
  • Sara Raju R; P.D. Hinduja Hospital and Medical Research Centre, Mumbai, India.
Indian J Tuberc ; 67(4S): S155-S162, 2020 Dec.
Article in English | MEDLINE | ID: covidwho-1125790
ABSTRACT
The SARS-2 pandemic which has moved with frightening speed over the last 5 months has several synergies with another older, and far more neglected airborne disease, tuberculosis. Patients with tuberculosis are not only more likely to be infected by SARS-CoV-2 but also likely to have adverse outcomes once infected. The sequelae of more severe forms of COVID-19 in patients who have recovered from TB but have residual compromised lung function, are also likely to be devastating. These diseases share almost identical bio-social determinants like poverty, overcrowding, diabetes and pollution and some clinical similarities. The consequences of the COVID-19 pandemic, and our global response to it with lockdowns, are likely to leave a profound and long-lasting impact on TB diagnosis and control, potentially leading to an additional 6.3 million cases of TB between 2020 and 2025, and an additional 1.4 million TB deaths during this time. Novel solutions will need to be urgently devised or else TB control targets will never be met and indeed may be set back by 5-8 years.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Indian J Tuberc Year: 2020 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Tuberculosis / Coinfection / SARS-CoV-2 / COVID-19 Type of study: Observational study / Prognostic study Topics: Long Covid Limits: Humans Language: English Journal: Indian J Tuberc Year: 2020 Document Type: Article