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. 2023 Jul 26:9:23780231231184767.
doi: 10.1177/23780231231184767. eCollection 2023 Jan-Dec.

Scars from a Previous Epidemic: Social Proximity to Zika and Fertility Intentions during the COVID-19 Pandemic

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Scars from a Previous Epidemic: Social Proximity to Zika and Fertility Intentions during the COVID-19 Pandemic

Leticia J Marteleto et al. Socius. .

Abstract

We examine whether women's social proximity to Zika during the Zika epidemic predicts intentions to avoid a pregnancy because of the COVID-19 pandemic either directly or indirectly via subjective assessments of the pandemic. We apply path models on unique microdata from Brazil, the country most affected by Zika and an epicenter of COVID-19, to understand whether a novel infectious disease outbreak left lasting imprints shaping fertility intentions during a subsequent novel infectious disease outbreak. Findings show that Zika social proximity is associated with fertility intentions through an indirect path related to subjective assessment of the COVID-19 pandemic. These findings emerged regardless of whether a woman herself had or suspected she had Zika and speak to the transformative consequences of novel infectious disease outbreaks that go beyond mortality and health.

Keywords: Brazil; COVID-19 pandemic; fertility; fertility intentions.

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Figures

Figure 1.
Figure 1.
Path model predicting change in fertility intentions because of COVID-19 (N = 3,890). Note: Akaike information criterion = 91,163.75; Bayesian information criterion = 91,721.44. *p < .05. **p < .01. ***p < .001.
Figure 2.
Figure 2.
Path model predicting childbearing intentions for women intending to postpone pregnancy (above line, n = 2,289) and women intending to forgo pregnancy (below line, n = 1,219). Note: Akaike information criterion = 53,735.42 (27,738.24); Bayesian information criterion = 54,245.95 (28,192.66). The numbers in parentheses represents the fit statistics for the model for forgoing pregnancy. *p < .05. **p < .01.

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