HPV Vaccine Uptake and Cervical Cancer Trends in Panama: A Reference Point for Future Impact Studies
Abstract
1. Introduction
2. Materials and Methods
2.1. Study Design
2.2. Data Sources
2.3. Data Quality Assurance
2.4. Study Variables
2.5. Study Outcomes and Measures
- Vaccine uptake. In absolute numbers, measured by the number of first, second, and third doses (when applicable) of HPV administered by sex and year.
- Vaccine coverage. The EPI estimates the vaccine coverage by dividing the number of doses in the vaccination age group and province or comarca by the INEC’s population estimates for the same year, sex, and age group and province or comarca.
- CC screening. The SRH Department at the MoH provides aggregate data on Pap tests conducted, which are divided by INEC’s population estimates for women ≥18 years old.
- CC cumulative incidence rate. Estimated by dividing the counts of CC cases by the year’s population for each demographic subgroup.
- CC mortality rate. The mortality rate by CC was estimated by dividing the total number of deaths attributed to CC each year by the mid-year population estimate of women ≥18 years old. The counts of new CC cases are also described by age groups and by years of diagnosis.
- CC tumoral behavior at diagnosis. Tumoral behavior at the time of diagnosis of CC was classified as in situ or invasive and reported as counts per year. Cancer stages are unidentified in the current data.
2.6. Statistical Analyses
- ⚬
- Girls trend: (yearly change among girls).
- ⚬
- Boys trend: (yearly change among boys).
- ⚬
- Difference in trends: (boys’ vs. girls’ slopes).
3. Results
3.1. HPV Vaccine Uptake by Doses and Sex over Time
3.2. HPV Vaccine Coverage by Region
3.3. Cervical Cancer Screening
3.4. Cervical Cancer Incidence over Time
3.5. HPV Vaccination and Cervical Cancer Outcomes
3.5.1. CC Cumulative Incidence over Time
3.5.2. Cervical Cancer (CC) Mortality
4. Discussion
4.1. HPV Vaccine Uptake
4.2. Cervical Cancer
4.3. Health Education and Promotion
4.4. Sociocultural Considerations
4.5. Structural Considerations
4.6. Limitations
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| APC | annual percentage change |
| AR | autoregressive |
| CC | cervical cancer |
| CDC | Centers for Disease Control and Prevention |
| DFE | degrees of freedom for error |
| DW | Durbin–Watson statistic |
| EPI | Essential Program on Immunization |
| HPV | human papillomavirus |
| INEC | National Institute for Statistics and Census |
| ITS | Interrupted time series analysis |
| JRF | Joint Reporting Form on Immunizations |
| LAC | Latin America and the Caribbean |
| LMIC | low- and middle-income countries |
| MoH | Ministry of Health of Panama |
| MSE | mean standard error |
| PAHO | Pan-American Health Organization |
| Pap | Papanicolaou |
| rDF | residual degrees of freedom |
| SRH | sexual and reproductive health |
| STIs | sexually transmitted infections |
| VWA | Vaccination Week of the Americas |
| WHO | World Health Organization |
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| Term | Estimate | Standard Error | p Value |
|---|---|---|---|
| 9.52 | 3.11 | 0.01 | |
| −0.44 | 0.43 | 0.32 | |
| −5.81 | 16.03 | 0.72 | |
| Time | 0.20 | 1.49 | 0.89 |
| Interrupted Time Series Analysis | ||
| Immediate Model Estimate (MSE = 32.20, rDF = 28, n = 32) | 10-Year Model Estimate (MSE = 36.65, rDF = 28, n = 32) | |
| Intercept | 81.30 (p < 0.001) | 80.12 (p < 0.001) |
| Time before intervention | −2.18 (p < 0.001) | −2.10 (p < 0.001) |
| Year of intervention | −8.86 (p = 0.12) | 8.37 (p = 0.33) |
| Time after intervention | 1.59 (p = 0.03) | 0.44 (p = 0.89) |
| Durbin–Watson Statistics | 2.03 (p = 0.34) | 1.83 (p = 0.18) |
| Time Series Regression with Vaccine Coverage | ||
| Immediate Model Estimate (MSE = 27.74, rDF = 12, n = 14) | 10-Year Model Estimate (MSE = 7.43, rDF = 2, n = 4) | |
| Intercept | 38.73 (p = 0.001) | 42.45 (p = 0.047) |
| Vaccination Rates | −0.09 (p = 0.39) | −0.15 (p = 0.30) |
| Durbin–Watson Statistics | 1.75 (p = 0.35) | 1.73 (p = 0.24) |
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Calvo, A.; Hall, S.; Melgar Cossich, V.B.; Andreadakis, J.; López Castillo, H.; Pinto, D.; Hewitt, I.d. HPV Vaccine Uptake and Cervical Cancer Trends in Panama: A Reference Point for Future Impact Studies. Vaccines 2025, 13, 1173. https://doi.org/10.3390/vaccines13111173
Calvo A, Hall S, Melgar Cossich VB, Andreadakis J, López Castillo H, Pinto D, Hewitt Id. HPV Vaccine Uptake and Cervical Cancer Trends in Panama: A Reference Point for Future Impact Studies. Vaccines. 2025; 13(11):1173. https://doi.org/10.3390/vaccines13111173
Chicago/Turabian StyleCalvo, Arlene, Sabrina Hall, Verónica B. Melgar Cossich, Jonathan Andreadakis, Humberto López Castillo, Dalys Pinto, and Itzel de Hewitt. 2025. "HPV Vaccine Uptake and Cervical Cancer Trends in Panama: A Reference Point for Future Impact Studies" Vaccines 13, no. 11: 1173. https://doi.org/10.3390/vaccines13111173
APA StyleCalvo, A., Hall, S., Melgar Cossich, V. B., Andreadakis, J., López Castillo, H., Pinto, D., & Hewitt, I. d. (2025). HPV Vaccine Uptake and Cervical Cancer Trends in Panama: A Reference Point for Future Impact Studies. Vaccines, 13(11), 1173. https://doi.org/10.3390/vaccines13111173

