Estimated prevalence of human papillomavirus among Nigerian women: A systematic review and meta-analysis

HPV prevalence in Nigeria has been challenging to quantify given regional population heterogeneity and differences in diagnostic methodology. We conducted a systematic review and meta-analysis of 17 studies, each of which summarized HPV prevalence in women residing in six geopolitical zones of Nigeria. The estimated pooled prevalence (effect size) of HPV in Nigeria was 32% (CI: 23-41%). HPV prevalence was 29% (CI: 20-39%) among studies that detected HPV by genotype. HPV prevalence among studies that used serologic detection was 38% (CI: 12-65%). When stratified by region, a study in the South East (SE) geopolitical zone reported the highest prevalence of 71% (CI: 61-80%) while a study in the South South (SS) geopolitical zone reported the lowest prevalence of 4.9% (CI: 3-9%). HPV prevalence in Nigeria was high. Heterogeneity between study regions and differing HPV detection methods both contribute to variation in estimates. Using pooled estimates serves to inform future strategies for epidemiologic surveillance and future design of HPV and cervical cancer prevention initiatives. (Afr J Reprod Health 2022; 26[6]:89-96).

Characteristics associated with COVID-19 vaccination status among staff and faculty of a large, diverse University in Los Angeles.

ObjectiveThis study examined characteristics associated with being unvaccinated among a sample of university staff and faculty prior to university campus reopening for in-person learning in spring-summer 2021. MethodsStaff and faculty responded to an email invitation to complete an online survey. Survey questions included demographic data (race/ethnicity, age, sex), COVID-19 knowledge and behaviors, employment specific data including division and subdivision (healthcare vs. non-healthcare related division); and self-reported vaccination status. A multivariable logistic regression analysis was performed to determine significant characteristics associated with the likelihood of being unvaccinated for COVID-19. ResultsParticipants identifying as Asian and Asian American, Hispanic/Latinx or Multicultural/Other had greater odds of being unvaccinated compared to Non-Hispanic White participants. Other characteristics associated with greater likelihood of being unvaccinated included working as university staff member (vs. faculty), older age, decrease in income, inability to work remotely and not traveling outside of Los Angeles area. Political affiliation as an Independent or as something else were more likely to be unvaccinated compared to participants identifying as Democrat. ConclusionsFindings suggest several factors associated with racial and social disparities may delay the uptake of COVID-19 vaccination. This study highlights the need for targeted educational interventions to promote vaccination among university staff and faculty.

Correlates of COVID-19 vaccination status among college students

ObjectivesDespite the widespread availability of COVID-19 vaccines in the United States, vaccine hesitancy remains high among certain groups. This study examined the correlates of being unvaccinated among a sample of university students (N=2900) during the spring and summer of 2021, when the campus had been closed for over a year and students were preparing to return to in-person learning. MethodsStudents responded to an email invitation and completed electronic surveys. Results. In multivariable logistic regression analyses, students were more likely to be unvaccinated if they were African American, identified with any political affiliation other than Democrat, were undergraduates or international students, had not traveled outside the Los Angeles during the pandemic, and/or had previously been ill with COVID-19. ConclusionFindings indicate that culturally resonant educational interventions, and possibly vaccine requirements, are needed to promote vaccination among university students.

Estimated Average Probabilities of COVID-19 Infection, Hospitalization, and Death From Community Contact in the United States

ObjectiveOur objective is to demonstrate a method to estimate the probability of a laboratory confirmed COVID19 infection, hospitalization, and death arising from a contact with an individual of unknown infection status. MethodsWe calculate the probability of a confirmed infection, hospitalization, and death resulting from a county-level person-contact using available data on current case incidence, secondary attack rates, infectious periods, asymptomatic infections, and ratios of confirmed infections to hospitalizations and fatalities. ResultsAmong US counties with populations greater than 500,000 people, during the week ending June 13,2020, the median estimate of the county level probability of a confirmed infection is 1 infection in 40,500 person contacts (Range: 10,100 to 586,000). For a 50 to 64 year-old individual, the median estimate of the county level probability of a hospitalization is 1 in 709,000 person contacts (Range: 177,000 to 10,200,000) and the median estimate of the county level probability of a fatality is 1 in 6,670,000 person contacts (Range 1,680,000 to 97,600.000). Conclusions and RelevanceEstimates of the individual probabilities of COVID19 infection, hospitalization and death vary widely but may not align with public risk perceptions. Systematically collected and publicly reported data on infection incidence by, for example, the setting of exposure, type of residence and occupation would allow more precise estimates of probabilities than possible with currently available public data. Calculation of secondary attack rates by setting and better measures of the prevalence of seropositivity would further improve those estimates.