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Table 1 The composition of partnerships (infectious disease only)

From: Biopharma innovation trends during COVID-19 and beyond: an evidence from global partnerships and fundraising activities, 2011-2022

  

Average yearly count (%)a

  

2011-2017

2018-2019 (base group)

2020

2021-2022

Infectious Disease Partnership (N=3,001)

Avg yearly count: 227

Avg yearly count: 193

Avg yearly count: 518

Avg yearly count: 254

Entity Typeb

The ownership of the target company

          

     Public

Involving only publicly owned companies

30

15%

48

25%

81

16%

*

56

22%

 

     Private

Involving only privately owned companies

35

18%

24

12%

81

16%

*

36

14%

 

     Public + Private

Involving both publicly and privately owned companies

59

30%

61

32%

159

31%

*

90

36%

 

     Missing

-

(30)

 

(4)

 

(3)

  

(0)

  

Region

The geographical region where the deal took place

          

     Asia-Pacific

-

47

30%

51

32%

152

33%

 

78

36%

 

     Europe

-

42

26%

40

25%

91

20%

 

48

22%

 

     North America

-

54

34%

58

37%

175

39%

 

66

31%

 

     Others

-

17

11%

10

6%

36

8%

 

23

11%

 

     Missing

-

(67)

 

(34)

 

(64)

  

(39)

  

Molecule Typec

With a drug/drug candidate of a specific molecule type

          

Gene/Cell Therapy

-

9

5%

14

7%

27

5%

 

10

4%

 

Protein

-

13

6%

11

6%

20

4%

 

16

6%

 

Vaccine

-

43

22%

30

17%

170

34%

***

72

29%

**

Anti-Body

-

30

15%

48

26%

121

24%

 

56

22%

 

Peptide

-

12

6%

10

5%

20

4%

 

6

2%

 

Small Molecule

-

98

50%

88

48%

155

31%

***

102

41%

 

Recombinant

-

16

8%

18

10%

48

10%

 

22

9%

 

Biologic

-

3

2%

4

2%

9

2%

 

8

3%

 

Oligonucleotide

-

8

4%

14

8%

33

7%

 

26

11%

 
  1. a We use the pre-outbreak deals as the baseline group to perform chi-squared tests, examining whether the composition of partnership activities changed during or after the initial global outbreak. The significance of each chi-squared test is denoted by asterisks (*\(P<0.05\), **\(P<0.01\), ***\(P < 0.001\)).
  2. b This is a nominal variable, so the percentages of all subjects add up to 100%.
  3. c This is a set of binary variables that are not mutually exclusive and collectively exhaustive. Since companies have more than one drug in their portfolio, each company could be categorized into several therapy areas or molecule types. Since companies have more than one drug in their portfolio, each company could be categorized into several therapy areas or molecule types. To address the multiple comparisons issue, we adjust the significance levels per test through Holm’s step-down extension of the Sidak method, controlling the family-wise error rate at 0.05. The unadjusted significance levels are reported in eTable 4 in the online supplement