Funding for research on dengue in Brazil, 2004-2020

Melo, Gabriela Bardelini Tavares; Angulo-Tuesta, Antonia; Silva, Everton Nunes da; Obara, Marcos Takashi

doi:10.1590/0103-1104202313817I

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ORIGINAL ARTICLE • Saúde debate 47 (138) • Jul-Sep 2023 • https://doi.org/10.1590/0103-1104202313817I copy

Funding for research on dengue in Brazil, 2004-2020

Authorship SCIMAGO INSTITUTIONS RANKINGS

ABSTRACT

Dengue represents an important public health problem in Brazil, due to the constant epidemics caused by the disease in the country. This study aimed to analyze the funding of research on dengue by the Department of Science and Technology of the Ministry of Health of Brazil and partners between 2004 to 2020. Was analyzed the trend of the funding by generalized linear regression using Prais-Winster and its distribution between Brazilian regions and Federated Units, research contracting modalities, benefited institutions, and studied themes. Between 2004 and 2020, 232 research studies were funded (R$ 164.03 million), carried out mostly in institutions in the Southeast Region (77.55%), addressing especially the vector control theme (37.93%). The funding trend was stationary in the years studied. The state calls were the main form of contracting modality for the research (65.95%). There was a statistically significant difference in the distribution of the loan amount between the contracting modalities, and in the number of researches funded and loan amount among Brazilian regions. These findings demonstrate the importance of monitoring the research funding on dengue in Brazil and of implementing strategies to evaluate the research funded, to support and improve the policy to combat the disease and its vector.

KEYWORDS
Dengue; Neglected diseases; Research financing; Research policy evaluation

Variables	Number of funded research (%)	Amount financed in millions of reais - R$ (%)	Average amount financed in millions of reais – R$
Research hiring modality	Kruskal-Wallis test (p> 0.05)	Kruskal-Wallis test (p <0.05)¹ 1 the Post-hoc Nemenyi test was applied, as a statistically significant value (p<0.05) was found in the Kruskal-Wallis test, indicating differences in the distribution of the number of funded research or funded amount; There was a significant difference (Post-hoc Nemenyi Test - p value <0.05) in the distribution of the financed amount between state calls (PPSUS) and direct contracting and between state calls (PPSUS) and national calls; *There was a significant difference (Post-hoc Nemenyi Test - p value <0.05) in the distribution of the number of studies between South and Northeast; £ There was a significant difference (Post-hoc Nemenyi Test - p value <0.05) in the distribution of the amount financed between the Northeast and the Central-West, between the Northeast and the North, between the Southeast and the Central-West, between the Southeast and the North and between the Southeast and the Northeast.	-
State calls (PPSUS)*	153 (65.95)	35.32 (21.53)	0.23
National calls*	72 (31.03)	68.14 (41.54)	0.95
Direct hiring*	7 (3.02)	60.58 (36.93)	8.65
Brazilian Region	Kruskal-Wallis test (p <0.05)¹	Kruskal-Wallis test (p <0.05) ¹	-
Southeast£	79 (34.05)	127.22 (77.55)	1.61
Northeast**£	84 (36.21)	26.93 (16.42)	0.32
North£	32 (13.79)	4.03 (2.46)	0.13
South**	15 (6.47)	3.63 (2.21)	0.24
Central-West£	22 (9.48)	2.23 (1.36)	0.1

Region of Brazil/Federal Unit	Dengue prevalence coefficient/100,000 inhabitants¹ 1 Average coefficient of dengue prevalence and mortality during the period 2004-2020. *	Dengue prevalence ranking¹ 1 Average coefficient of dengue prevalence and mortality during the period 2004-2020. *	Dengue mortality rate/100,000 inhabitants¹ 1 Average coefficient of dengue prevalence and mortality during the period 2004-2020. **	Dengue mortality ranking¹ 1 Average coefficient of dengue prevalence and mortality during the period 2004-2020. **	Number of funded research^§ § Own elaboration, based on data from the Pesquisa Saúde repository21, accessed in June 2022.	Ranking of the number of funded research^§ § Own elaboration, based on data from the Pesquisa Saúde repository21, accessed in June 2022.	Amount financed in millions of reais – R$^§ § Own elaboration, based on data from the Pesquisa Saúde repository21, accessed in June 2022.	Financed amount ranking^§ § Own elaboration, based on data from the Pesquisa Saúde repository21, accessed in June 2022.
North region	257.18	4	0.14	4	32	3	4.03	3
Acre	1,169.47	1	0.39	7	2	12	0.13	25
Amapá	264.08	21	0.66	4	5	9	0.24	21
Amazonas	221.04	22	0.17	16	8	7	1.99	8
Pará	119.09	25	0.63	5	1	13	0.22	23
Rondônia	335.58	16	0.12	20	6	8	0.43	17
Roraima	362.90	14	0.56	6	5	9	0.58	14
Tocantins	486.48	9	0.25	12	5	9	0.44	16
Northeast region	274.52	3	0.15	3	84	1	26.93	2
Alagoas	392.12	12	0.16	17	6	8	0.69	11
Bahia	264.89	19	0.12	20	12	5	8.36	5
Ceará	364.47	13	0.18	15	19	3	5.45	6
Maranhão	97.46	26	0.31	10	6	8	0.58	14
Paraíba	264.76	20	0.24	13	3	11	0.39	18
Pernambuco	265.18	18	0.13	19	27	2	9.89	4
Piauí	184.97	23	0.13	19	5	9	0.23	22
Rio Grande do Norte	519.10	8	0.21	14	2	12	0.86	9
Sergipe	161.78	24	0.1 5	18	4	10	0.48	15
Central-West region	843.38	1	0.24	2	22	4	2.23	5
Distrito Federal	395.87	11	0.33	8	2	12	0.26	20
Goiás	1,069.8	2	0.1 6	17	5	9	0.60	13
Mato Grosso	596.26	7	0.28	11	5	9	0.65	12
Mato Grosso do Sul	1,065.58	3	0.25	12	10	6	0.71	10
Southeast region	451.11	2	0.13	5	79	2	127.22	1
Espírito Santo	636.58	6	0.32	9	2	12	0.19	24
Minas Gerais	657.27	5	0.02	22	31	1	98.51	1
Rio de Janeiro	398.10	10	0.03	21	31	1	15.38	2
São Paulo	357.49	15	0.84	2	15	4	13.14	3
South region	135.57	5	0.89	1	15	5	3.63	4
Paraná	332.59	17	0.39	7	10	6	2.86	7
Rio Grande do Sul	8.64	28	1.35	1	3	11	0.39	18
Santa Catarina	22.84	27	0.76	3	2	12	0.38	19

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[1] Conflict of interests: non-existent