Malaria is an indication for drug development with over 260 pipeline drugs currently active. According to GlobalData, preregistered drugs for Malaria have a 100% likelihood of approval (LoA) indication benchmark. GlobalData’s report assesses how phase transition success rate (PTSR) and likelihood of approval (LoA) scores for pipeline drugs in Malaria compared to historical benchmarks. Buy the report here.

Smarter leaders trust GlobalData

Report-cover

Premium Insights Likelihood of Approval Analysis for Malaria

Buy the Report

Premium Insights

The gold standard of business intelligence.

Find out more

GlobalData tracks drug-specific phase transition and likelihood of approval scores, in addition to indication benchmarks based off 18 years of historical drug development data. Attributes of the drug, company and its clinical trials play a fundamental role in drug-specific PTSR and likelihood of approval.

Malaria overview

Malaria is a life-threatening blood disease caused by a parasite (Plasmodium) that is transmitted to humans by the Anopheles mosquito. People at increased risk of serious disease include young children and infants, travelers coming from areas with no malaria, and pregnant women and their unborn children. Symptoms may include fever, chills, headache, sweats, fatigue, enlarged spleen, nausea, and vomiting. Treatment includes anti-malarial medicines.

For a complete picture of PTSR and LoA scores for drugs in Malaria, buy the report here.

Premium Insights

From

The gold standard of business intelligence.

Blending expert knowledge with cutting-edge technology, GlobalData’s unrivalled proprietary data will enable you to decode what’s happening in your market. You can make better informed decisions and gain a future-proof advantage over your competitors.

GlobalData

GlobalData, the leading provider of industry intelligence, provided the underlying data, research, and analysis used to produce this article. 

GlobalData’s Likelihood of Approval analytics tool dynamically assesses and predicts how likely a drug will move to the next stage in clinical development (PTSR), as well as how likely the drug will be approved (LoA). This is based on a combination of machine learning and a proprietary algorithm to process data points from various databases found on GlobalData’s Pharmaceutical Intelligence Center.