Centro Centroamericano de Población, Universidad de Costa Rica, San José, 2060, Costa Rica.
Agencia Costarricense de Investigaciones Biomédicas, Fundación INCIENSA, San José, Costa Rica.
BMC Infect Dis. 2022 Oct 2;22(1):767. doi: 10.1186/s12879-022-07740-5.
Clinical trials and individual-level observational data in Israel demonstrated approximately 95% effectiveness of mRNA-based vaccines against symptomatic SARS-CoV-2 infection. Individual-level data are not available in many countries, particularly low- and middle- income countries. Using a novel Poisson regression model, we analyzed ecologic data in Costa Rica to estimate vaccine effectiveness and assess the usefulness of this approach.
We used national data from December 1, 2020 to May 13, 2021 to ascertain incidence, hospitalizations and deaths within ecologic units defined by 14 age groups, gender, 105 geographic areas, and day of the epidemic. Within each unit we used the proportions of the population with one and with two vaccinations, primarily tozinameran. Using a non-standard Poisson regression model that included an ecologic-unit-specific rate factor to describe rates without vaccination and a factor that depended on vaccine effectiveness parameters and proportions vaccinated, we estimated vaccine effectiveness.
In 3.621 million persons aged 20 or older, there were 125,031 incident cases, 7716 hospitalizations, and 1929 deaths following SARS-CoV-2 diagnosis; 73% of those aged ≥ 75 years received two doses. For one dose, estimated effectiveness was 59% (95% confidence interval 53% to 64%) for SARS-CoV-2 incidence, 76% (68% to 85%) for hospitalizations, and 63% (47% to 80%) for deaths. For two doses, the respective estimates of effectiveness were 93% (90% to 96%), 100% (97% to 100%), and 100% (97% to 100%).
These effectiveness estimates agree well with findings from clinical trials and individual-level observational studies and indicate high effectiveness in the general population of Costa Rica. This novel statistical approach is promising for countries where ecologic, but not individual-level, data are available. The method could also be adapted to monitor vaccine effectiveness over calendar time.
以色列的临床试验和个体水平观察数据表明,mRNA 疫苗对有症状的 SARS-CoV-2 感染的有效性约为 95%。许多国家,特别是低收入和中等收入国家,没有个体水平的数据。我们使用一种新的泊松回归模型,分析了哥斯达黎加的生态数据,以估计疫苗的有效性,并评估这种方法的有用性。
我们使用 2020 年 12 月 1 日至 2021 年 5 月 13 日的全国数据,确定生态单位内的发病率、住院率和死亡率,生态单位由 14 个年龄组、性别、105 个地理区域和流行日定义。在每个单位内,我们使用接种一剂和两剂疫苗的人群比例,主要是 tozinameran。我们使用一种非标准泊松回归模型,该模型包括一个生态单位特定的率因子来描述未接种疫苗的情况,以及一个取决于疫苗有效性参数和接种人群比例的因子,以估计疫苗的有效性。
在 362.1 万 20 岁或以上的人群中,有 125031 例 SARS-CoV-2 确诊病例、7716 例住院病例和 1929 例死亡病例;75%的 75 岁以上人群接种了两剂疫苗。对于一剂疫苗,估计的有效性为 SARS-CoV-2 发病率的 59%(95%置信区间为 53%至 64%)、住院率的 76%(68%至 85%)和死亡率的 63%(47%至 80%)。对于两剂疫苗,相应的有效性估计分别为 93%(90%至 96%)、100%(97%至 100%)和 100%(97%至 100%)。
这些有效性估计与临床试验和个体水平观察研究的结果非常吻合,表明哥斯达黎加普通人群的疫苗具有很高的有效性。这种新的统计方法对于有生态数据但没有个体水平数据的国家是有希望的。该方法还可以适应于监测随时间推移的疫苗有效性。