Table 3

Estimating the Force of Infection for Dengue Virus Using Repeated Serosurveys, Ouagadougou, Burkina Faso

Jacqueline K. Lim

, Mabel Carabali, Tansy Edwards, Ahmed Barro, Jung-Seok Lee, Desire Dahourou, Kang Sung Lee, Teguewende Nikiema, Mee Young Shin, Emmanuel Bonnet, Therese Kagone, Losseni Kaba, Suk Namkung, Paul-André Somé, Jae Seung Yang, Valéry Ridde, In-Kyu Yoon, Neal Alexander, and Yaro Seydou

Author affiliations: International Vaccine Institute, Seoul, South Korea (J.K. Lim, M. Carabali, J.-S. Lee, K.S. Lee, M.Y. Shin, S. Namkung, J.S. Yang); London School of Hygiene and Tropical Medicine, London, UK (J.K. Lim, T. Edwards, N. Alexander); Centre MURAZ, Bobo-Dioulasso, Burkina Faso (D. Dahourou, T. Nikiema, T. Kagone, Y. Seydou); McGill University, Montreal, Quebec, Canada (M. Carabali); Action, Gouvernance, Intégration, Renforcement Program Equité, Ouagadougou, Burkina Faso (A. Barro, P.-A. Somé); Institut de Recherché en Sciences de la Santé, Ouagadougou (D. Dahourou); I; nstitute for Research on Sustainable Development, Université de Paris, Paris, France (E. Bonnet, V. Ridde); Centre National de Transfusion Sanguine, Ouagadougou (L. Kaba); Coalition for Epidemic Preparedness Innovations, Washington, DC, USA (I.-K. Yoon)

Main Article

Univariable binomial regression showing ratio of rates of seroconversion in study of force of infection for dengue virus, based on results of IgG indirect ELISA assays, Ouagadougou, Burkina Faso, June–July 2015*

Characteristics	S1–S2,† N = 455, IgG-S (n = 33) vs. IgG-N (n = 422)		S2–S3,† N = 443, IgG-S (n = 23) vs. IgG-N (n = 420)		S3–S4,† N = 455, IgG-S (n = 78) vs. IgG-N (n = 377)
Characteristics	IgG-S rate (95% CI)	p value‡	IgG-S rate (95% CI)	p value‡	IgG-S rate (95% CI)	p value‡
Age range, y		0.006		0.002		0.038
1–4	Referent		Referent§		Referent
5–9	0.70 (0.19–2.84)		Referent§		0.65 (0.31–1.37)
10–14	1.00 (0.27–4.05)		2.25 (0.53–9.52)		1.00 (0.48–2.12)
15–24	1.99 (0.65–7.35)		4.55 (1.37–17.38)		1.77 (0.91–3.60)
25–55	4.11 (1.37–14.99)		9.13 (2.87–34.20)		1.29 (0.55–2.94)
Sex		0.155		0.166		0.686
M	Referent		Referent		Referent
F	1.67 (0.84–3.51)		1.83 (0.80–4.55)		1.10 (0.70–1.72)
Preexisting conditions¶		0.016		0.017		0.433
None/unknown	Referent		Referent		Referent
Yes	2.67 (1.13–5.67)		3.11 (1.12–7.48)		1.29 (0.64–2.34)
Occupation		0.935		0.025		0.177
Student	Referent		Referent		Referent
At home#	1.11 (0.45–2.56)		3.81 (1.45–11.05)		1.64 (0.96–2.75)
Others**	1.15 (0.50–2.54)		1.70 (0.53–5.45)		1.16 (0.66–2.01)
Level of education		0.917		0.191		0.164
Illiterate/no schooling	Referent		Referent		Referent
Elementary	1.19 (0.52–2.89)		0.39 (0.12–1.06)		0.80 (0.45–1.42)
>Secondary	1.15 (0.48–2.85)		0.61 (0.23–1.55)		1.33 (0.78–2.32)
Bold indicates statistical significance. IgG-S, IgG seroconverted; IgG-N, IgG negative; S, serosurvey. †Paired survey intervals. S1–S2: July–December 2015; S2–S3: January 2016–May 2016; S3–S4: June 2016–March 2017. ‡p values based on χ² test. §Age groups 1–4 and 5–9 merged due to data scarcity in seroconverted participants. ¶Based on self-report by participants. #Housewife, retired, unemployed. *Business owners, employees, workers, etc.

Main Article

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Page updated: December 21, 2020

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