COVID-19 prediction has been essential in the aid of prevention and control of the disease. The motivation of this case study is to develop predictive models for COVID-19 cases and deaths based on a c

NIAID Data Ecosystem70

Estimated annual conversion risk during follow-up among participants without detectable Mtb antigen immune responses at enrolment by Mtb infection status for 60 participants assessed more than once.

结核病感染监测

流行病学风险评估

Estimated annual conversion risk during follow-up among participants without detectable Mtb antigen immune responses at enrolment by Mtb infection status for 60 participants assessed more than once.

NIAID Data Ecosystem30

Relative risk models including all five high risk factors.

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