Factors Associated with Health Inequalities in Infectious Disease Pandemics Predating COVID-19 in the United States: A Systematic Review

Evaluating equity-promoting interventions to prevent race-based inequities in influenza outcomes

Importance

Seasonal influenza hospitalizations pose a considerable burden in the United States, with BIPOC (Black, Indigenous, and other People of Color) communities being disproportionately affected.

Objective

To determine and quantify the effects of different types of mitigation strategies on inequities in influenza outcomes (symptomatic infections and hospitalizations).

Design

In this simulation study, we fit a race-stratified agent-based model of influenza transmission to demographic and hospitalization data of the United States.

Participants

We consider five racial-ethnic groups: non-Hispanic White persons, non-Hispanic Black persons, non-Hispanic Asian persons, non-Hispanic American Indian or Alaska Native persons, and Hispanic or Latino persons.

Setting

We tested five idealized equity-promoting interventions to determine their effectiveness in reducing inequity in influenza outcomes. The interventions assumed (i) equalized vaccination rates, (ii) equalized comorbidities, (iii) work-risk distribution proportional to the distribution of the population, (iv) reduced work contacts for all, or (v) a combination of equalizing vaccination rates and comorbidities and reducing work contacts.

Main Outcomes and Measures

Reduction in symptomatic or hospitalization risk ratios, defined as the ratio of the number of symptomatic infections (hospitalizations respectively) in each age- and racial-ethnic group and their corresponding white counterpart. We also evaluated the reduction in the absolute mean number of symptomatic infections or hospitalizations in each age- and racial-ethnic group compared to the fitted scenario (baseline).

Results

Our analysis suggests that symptomatic infections were equalized and reduced (by up to 17% in BIPOC adults aged 18-49) by strategies reducing work contacts or equalizing vaccination rates. Reducing comorbidities resulted in significant decreases in hospitalizations, with a reduction of over 40% in BIPOC groups. All tested interventions reduced the inequity in influenza hospitalizations in all racial-ethnic groups, but interventions reducing comorbidities in marginalized populations were the most effective. Notably, these interventions resulted in better outcomes across all racial-ethnic groups, not only those prioritized by the interventions.

Conclusions and Relevance

In this simulation modeling study, equalizing vaccination rates and reducing number of work contacts (which are relatively simple strategies to implement) reduced the both the inequity in hospitalizations and the absolute number of symptomatic infections and hospitalizations in all age and racial-ethnic groups.

Key Points

Question: What interventions might be effective in reducing the observed race-based disparities in seasonal influenza hospitalizations in the United States (US)?Findings: Simulated interventions equalizing comorbidity rates by in marginalized racial-ethnic groups would prevent up to 40% hospitalizations in these groups. Increasing vaccination rates among marginalized communities or reducing work contacts would reduce hospitalizations by over 10% and 20%, respectively, in most racial-ethnic groups and would similarly reduce symptomatic infections.Meaning: Increasing vaccination rates among marginalized communities, decreasing comorbidities in these groups, or reducing work contacts would help reduce the race-based disparities in seasonal influenza hospitalizations in the US.

Social inequalities and the COVID-19 pandemic

Social inequality has been identified as an important determinant of the outcome of infectious diseases and the recent SARS-CoV-2 pandemic has vividly reminded us that there are no "equal opportunity infectors". In a recent article, Chakrabarty et al. (2023) reported the finding of a cross-country comparison of COVID-19 cases and social deprivation, using up-to-date statistical modelling. These results add to the extensive evidence showing that vulnerable populations are consistently at higher risk of contracting the infection and to suffer from more severe symptoms, whatever the spatial scale used (from the country to the neighborhood). Spatial clustering of socially deprived groups, preexisting pathologies and hotspots of COVID-19 cases and deaths indicate that the SARS-CoV-2 should be seen as a syndemic, where both the infection dynamics and the outcome of the disease strongly depend on the three-way interaction between the virus, preexisting pathologies, and the socioeconomic environment.

Incidence of Vulvar Lichen Sclerosus and of Cancer Among Vulvar Lichen Sclerosus Patients: Does Socioeconomic Status Have a Role?

OBJECTIVE

Socioeconomic status (SES) impacts on the incidence of many inflammatory diseases and cancers, but there is no evidence on its implication in vulvar lichen sclerosus (VLS). The authors aimed to assess possible associations between SES and both occurrence of VLS and cancer occurrence among VLS patients.

MATERIALS AND METHODS

A retrospective cohort of women resident in the province of Ferrara, Italy, affected with VLS diagnosed between 2001 and 2020, was investigated for assessing any association of SES with VLS and cancer incidence. The SES was expressed through an ecological-based deprivation index identifying 5 subgroups.

RESULT

Four-hundred women were diagnosed with VLS during the study period, with double the number of cases in the second decade (2011-2020) compared with the first (2001-2010). More VLS patients belonged to the high rather than the low SES groups (p = .032). From VLS diagnosis to 2018 (1,958.4 total person*years at risk), 22 patients received their first diagnosis of cancer, mainly the skin, breast, and vulva. No significant differences in cancer incidence were found between high/medium-high and low/medium-low SES subjects.

CONCLUSIONS

The fact that more VLS patients belonged to the highest socioeconomic classes may be due to a more frequent diagnosis in those with greater health seeking behavior and resources. An involvement of SES-related factors in VLS pathophysiological background can also be taken into consideration. Both the lack of marked social and economic differences in the study area and the availability of free visits and screening may account for the lack of association between SES and cancer development.

Visits to Sexually Transmitted Infection Clinics in Italy from January 2016 to November 2021: A Multicenter, Retrospective Study

There is no evidence of seasonal variation in visits to clinics dedicated to sexually transmitted infections (STIs) in Italy, nor of changes after the advent of the COVID-19 pandemic. An observational, retrospective, multicentric study was conducted to record and analyze all the visits to the STI clinics of the Dermatology Units of the University Hospitals of Ferrara and Bologna and of the Infectious Disease Unit of Ferrara, Italy, between January 2016 and November 2021. Overall, 11.733 visits were registered over a 70-month study period (63.7% males, mean age 34.5 ± 12.8 yrs). The mean number of monthly visits significantly decreased from the advent of the pandemic (136) compared to before (177). In the pre-pandemic period, visits to STI clinics increased in the autumn/winter months when compared to spring/summer, while the trend was the opposite in the pandemic period. Thus, during the pandemic, both an overall significant reduction in visits to STI clinics and a reversal in their seasonality were observed. These trends affected males and females equally. The marked decrease, mostly found in the pandemic winter months, can be linked to the "lockdown"/self-isolation ordinances and social distancing measures during the colder months, coinciding with the spread of the COVID-19 infection, which limited the opportunities for meeting and socializing.