1. Introduction
Immunization is a cornerstone in public health, pivotal in diminishing the prevalence and severity of infectious diseases and their effects on health outcomes [
1,
2,
3]. Vaccine-preventable diseases remain a significant public health concern globally. Diphtheria, Tetanus, and Pertussis (DTP) vaccines prevent these life-threatening diseases, especially among children. The DTP vaccine’s broad coverage is imperative for public health protection. However, the COVID-19 pandemic, emerging in early 2020, posed significant challenges to healthcare systems globally [
4], potentially impacting routine immunization services, including DTP vaccination. Programs emphasizing immunization, especially those incorporating the DTP vaccine, are central to reducing the worldwide incidence of diseases preventable by vaccines, thereby improving the lives of countless individuals [
5,
6,
7,
8]. The World Health Organization (WHO) launched in response to this global health challenge, the Global Vaccine Action Plan (GVAP) for the period 2011-2020, initiated in 2012, to achieve widespread routine immunization for children across the globe [
9].
Child mortality due to vaccine-preventable diseases is a significant concern, with pertussis alone accounting for over 300,000 deaths annually [
10]. Factors influencing disparities in vaccination rates include geographic location (urban vs. rural), socioeconomic status, educational level [
11,
12] and the regularity of maternal prenatal care [
13]. Parents in rural areas believe vaccine-preventable diseases (VPD) are not severe enough to justify vaccination [
14]. The emergence of the COVID-19 pandemic has placed an extraordinary burden on global healthcare infrastructures, potentially impacting the continuity of standard immunization efforts [
15,
16,
17,
18,
19,
20]. Disruptions in the supply chain of vaccines, the redirection of healthcare resources and personnel to COVID-19 management [
21], the logistic challenges of COVID-18 immunization [
22], and heightened public reluctance to visit medical facilities due to infection risk have all been implicated in the observed decrease in vaccination rates [
23,
24,
25,
26,
27,
28]. Such a downturn in immunization coverage poses a severe risk to millions of children, leaving them vulnerable to diseases preventable by vaccines [
29]. The pandemic has increased the likelihood of outbreaks of VPD [
12]. Lower-middle-income regions with low vaccine coverage and circulating vaccine-derived viral strains, such as polio, bore an additional burden of zero-dose children. All over the world, there were 18.2 million zero-dose children in 2021 [
30] that are more vulnerable to VPDs [
12]. Understanding the extent of this disruption is crucial to guide public health policies and strategies for crisis preparedness [
31]. Research has shown a global decline of 7.7% in DTP3 coverage and 7.9% in MCV1 (first dose of Measles-Containing Vaccine) coverage up to December 2020 [
32].
In assessing the success of DTP vaccination programs, we focus on the proportion of infants receiving DTP3, a standard and widely recognized metric [
33]. This indicator reflects the effectiveness of the immunization programs in reaching target demographics and completing the primary vaccination series, providing optimal protection against diphtheria, tetanus, and pertussis [
34]. The analysis of both DTP1 and DTP3 coverages is essential, with DTP1 coverage indicating the initial reach and engagement of health services [
35,
36] and DTP3 demonstrating the success in administering the entire course of the vaccine [
37]. For instance, a meta-analysis highlighted a significant dropout rate in vaccinations in Africa, with notable variations between countries [
35,
36]. Discrepancies between DTP1 and DTP3 coverages can shed light on challenges in patient retention and other barriers such as healthcare access, affordability, and education [
37].
The Americas ranks as the second-worst region globally regarding vaccine coverage [
38,
39,
40]. Two countries in America were included in the Immunization Agenda 2030 in 2021: Brazil was ranked seventh, and Mexico in 15th. In 2022, Mexico disappeared from the list, and Brazil descended to the eigh
th position [
41].
The pandemic’s disruption had widespread implications for DTP vaccination coverage. Healthcare resources were reallocated to address the pandemic, leading to the neglect of routine vaccination programs. Social distancing and lockdowns are public health measures that may have hindered access to vaccination services. Moreover, the pandemic could have affected public perception and confidence in vaccines, further challenging vaccination efforts. In the United States, during the pandemic, there was a decrease in pediatric primary care visits [
42]. Recent data points to a substantial impact of the COVID-19 pandemic on DTP vaccination trends [
43]. A significant decline in administered doses of DTP-containing vaccines was observed in the first half of 2020. This trend was not limited to specific regions but was a global phenomenon with varying degrees of impact across various parts of the world. In Africa, for instance, there was a notable decrease in DTP3 coverage post-2019 [
44].
Similarly, a decline in vaccination coverage for multiple vaccines was observed in Latin America, with catch-up strategies implemented to address missed vaccinations [
45]. Reports from WHO and UNICEF indicate a notable global decrease in child vaccinations, with DTP3 coverage falling by 5% between 2019 and 2021 [
30]. The CDC’s 2021 data confirms this trend, showing the lowest global DTP3 coverage since 2008 [
46]. From 2021 to 2022, there was a notable increase in global vaccination coverage for the first dose of the DTP vaccine, from 86% to 89%, and measles-containing vaccine, from 81% to 84%. However, these levels did not return to the pre-pandemic coverage rates of 90% and 86%, respectively. Despite the challenges of the pandemic, there have been signs of recovery. By 2022, global DTP immunization coverage nearly returned to pre-pandemic levels, although millions of infants still lacked initial or complete vaccination [
35,
47]. This recovery highlights the resilience of health systems and the importance of ongoing assessment and implementation of catch-up vaccination strategies, particularly for vulnerable populations, to ensure vaccine coverage equity and health system resilience. This recovery in vaccination coverage was uneven across different regions and countries, with slower progress in low-income countries [
48]. This data, part of the World Health Assembly’s endorsement of the Immunization Agenda 2030 (IA2030), highlights the ongoing challenge of restoring and improving global vaccination coverage after the COVID-19 pandemic, particularly among low- and lower–middle–income countries [
49].
This study aims to analyze the trends in DTP3 vaccination coverage in America from 2012 to 2022, emphasizing the influence of the COVID-19 pandemic. Based on the evidence discussed, we posit that the pandemic has adversely affected vaccination rates [
46,
49].
Considering the available data, we observe a significant global impact of the COVID-19 pandemic on DTP vaccination trends. Reports from WHO and UNICEF highlight a worldwide decline in child vaccinations during this period [
50]. The risk for children in developing vaccine-preventable diseases is thus elevated. This study aims to assess the impact of the COVID-19 pandemic on DTP vaccination coverage in the Americas. We hypothesize that the pandemic has led to declining vaccination rates, potentially reversing previous progress toward global immunization targets. This paper examines trends in DTP3 vaccine coverage across the Americas from 2012 to 2022, identifying significant changes and regional disparities considering the pandemic. The findings aim to provide a detailed understanding of the pandemic’s impact on DTP vaccination and guide public health strategies to address these challenges, ensuring continued progress towards global vaccination goals. We will focus primarily on the repercussions of the COVID-19 pandemic under the hypothesis that pandemic-related disruptions have affected vaccination programs [
46].
3. Results
Between 2012 and 2021 in the Americas, the third dose DTP vaccination rates displayed an overall annual percentage change (APC) of -1.4%. This decline was statistically significant, with a 95% confidence interval (CI) ranging from -1.8 to 1.0 and a p-value of less than 0.001. The Joinpoint analysis identified two distinct periods within this period. From 2012 to 2016, the APC was -0.7% during the first period, indicating a slight decrease, but this change was not statistically significant (95% CI: -2.9 to 1.5; p=0.464). In contrast, a marked decline was observed in the second period, from 2016 to 2022, where the APC steepened to -1.8% (95% CI: -2.9 to -0.7) with a p-value of 0.008, indicating a significant downward trend. These findings suggest a shift in the trajectory of vaccination rates over the decade, with a notable decline in the latter half of the period (
Table 1,
Figure 1).
The Joinpoint analysis for regional third DTP dose coverage in America from 2012 to 2022 reveals varied trends across different regions. In North America, the overall annual percentage change (APC) for the total period was -0.1% (95% CI: 0.2 to 0), indicating a negligible decrease in vaccination rates. (
Table 2), The change was not statistically significant (p=0.136). There was Joinpoint in 2014. From 2012-14, there was a slight increase; from then on, there was a decrease, as depicted in
Figure 2.
In contrast, Latin America and the Caribbean exhibited a more pronounced decline in vaccination rates. The total period APC was -2.1% (95% -2.7 to -1.5, with a statistically significant change (p < 0.001). Further analysis within this region revealed a Joinpoint in 2016. There were two distinct periods: the first period (2012-2016) showed an APC of -0.9%, which was not statistically significant (95% CI: -4.4, 2.6, p=0.531), indicating a stable trend. However, during the second period (2016-2022), the decline in vaccination rates was more substantial, with an APC of -2.7% (95% CI: -4.5, -0.9, p=0.010), indicating a significant decrease in vaccination rates, as shown in
Figure 3. These findings highlight substantial regional differences in third DTP dose coverage trends within Latin America and the Caribbean, which are visually depicted in
Figure 4,
Figure 5 and
Figure 6, illustrating the third DTP dose vaccination rate trends in Central America, the Caribbean, and South America, respectively, highlighting the Joinpoints.
During the research period spanning from 2012 to 2022, there were notable variations in the vaccination rates for the third dose of DTP across different areas in Central America, the Caribbean, and South America. In Central America, the overall annual percentage change (APC) was -1.3% (95% CI -2.1, -0.4; P=0.009), with a statistically significant decrease noted. There was a Joinpoint in 2019. This region experienced a more pronounced decline in the latter period (2019-2022) with an APC of -2.6% (95% CI -8.6, 3.8; P=0.354), though this change was not statistically significant (
Figure 4).
The Caribbean region showed a different pattern, with an overall decrease in the vaccination rate with an APC of -0.7% (95% CI -1.1, -0.4; P=0.001). There was a Joinpoint in 2016 (
Figure 5). This decrease became statistically significant in the second period (2016-2022), with an APC of -1.1% (95% CI -2.1, -0.1; P=0.031).
In South America, the total period saw a significant decline in vaccination rates with an APC of -2.5% (95% CI -3.1, -1.8; P < 0.001). There was a Joinpoint in 2015 (
Figure 6). The trend intensified in the second period (2015-2022), with an APC of -3.1% (95% CI -4.4, -1.8; P=0.001).
These findings suggest region-specific variations within Latin America and the Caribbean region, with South America experiencing the most significant decline over the study period(
Figure 7). The Americas experienced a 4% reduction in DTP3 vaccine coverage from 2019 to 2022. However, vaccine coverage rates remained unchanged in North America, South America, and the Caribbean. In contrast, Central America witnessed a more substantial decline in vaccine coverage, with a decrease of 7% (
Table 3).
Table 4 displays the DTP3 rates for the years 2019 and 2022. On average, there was a reduction of -4.20% across countries, with a standard deviation of 6.08, and this change was statistically significant at p < 0.001. In
Figure 8,
Figure 9 and
Figure 10, we present the map of America indicating the absolute differences in vaccine coverage between 2012 and 2022. Between 2019 and 2022, the DTP3 vaccination rates showed a significant decline, as observed in the dataset, which revealed that twenty-two countries(61.1%) in America registered a decrease, while only six countries (16.7%) indicated an increase and 8 (22.2%) remained unchanged.
Although COVID-19 impacted vaccine coverage, six countries had increased vaccination coverage after the COVID-19 pandemic. Brazil led this trend with a notable7% increase in coverage. Following Brazil, Antigua and Barbuda saw a 4% rise, while Jamaica experienced a 2% increase. Canada and Mexico also reported modest increases of 1% each.
Conversely, eight countries demonstrated stability in their DTP3 vaccine coverage during the same period. Countries such as Chile, Costa Rica, Cuba, Haiti, Suriname, Trinidad and Tobago, the United States, and Uruguay maintained their coverage levels, with no percentage change observed. However, the study also identified 22 American countries where there was a decline in DTP3 vaccine coverage (Argentina, Bahamas, Barbados, Belize, Saint Kitts and Nevis, Bolivia, Colombia, Guyana, El Salvador, Nicaragua, Saint Lucia, Paraguay, Saint Vincent and the Grenadines, Ecuador, Honduras, Venezuela, Guatemala, Panama, Grenada, Peru, Dominica, and the Dominican Republic). The Dominican Republic, Guyana, Panama, Saint Kitts and Nevis experienced a 1% decrease, while Argentina faced a 2% decline. In nations with declining vaccination coverage, the average absolute decrease was -7.37% (with a standard deviation of 5.39), statistically significant at a significance level of P < 0.01. (
Table 4) (
Figure 8,
Figure 9 and
Figure 10).
In North America, in two countries, Canada and Mexico, the DTP3 vaccine coverage slightly increased by 1% between 2019 and 2022, while in the United States, it remained the same. In South America, Brazil increased the coverage by 7%, and three countries, Chile, Suriname, and Uruguay, remained at the same level. In the other countries, the coverage decreased. In Central America, except for Costa Rica, whose rate remained equal, all the countries fell their coverage. The same happened in the Caribbean. All the countries decreased; the only exceptions were Antigua, Barbuda, and Jamaica, which increased 4% and 2%, respectively, and Cuba, Haiti, and Trinidad and Tobago, which remained at the same level (
Figure 10).
We found that in 2019, a total of 19 countries in the Americas, namely the United States, Canada, Chile, Uruguay, Trinidad and Tobago, Saint Vincent and the Grenadines, Saint Kitts and Nevis, Saint Lucia, Nicaragua, Jamaica, Guyana, Grenada, El Salvador, Dominica, Cuba, Costa Rica, Colombia, Belize, Barbados, and Antigua and Barbuda, had successfully achieved the World Health Organization’s goal of attaining at least 90% coverage for the third dose of the DTP vaccine by the year 2030. After the pandemic, by 2022, it was observed that six nations—Barbados, Belize, Colombia, El Salvador, Grenada, and Saint Lucia—no longer met the 90% coverage target for the DTP vaccine. This was a change from the list of countries that had achieved this goal in 2019 (
Figure 11 and
Figure 12).
Twenty countries had a Joinpoint close to 2019 (
Table 5,
Figure 13,
Figure 14,
Figure 15,
Figure 16,
Figure 17,
Figure 18,
Figure 19,
Figure 20,
Figure 21,
Figure 22,
Figure 23,
Figure 24,
Figure 25,
Figure 26,
Figure 27,
Figure 28,
Figure 29,
Figure 30,
Figure 31 and
Figure 32). In five countries: Antigua and Barbuda, Costa Rica, Haiti, Peru, Saint Vincent and the Grenadines, there was a Joinpoint in 2017 (95% IC 2014-2020). In five countries, Canada, Ecuador, Grenada, Jamaica, Nicaragua, and Paraguay, the Joinpoint was in 2018 (95% IC 2016-2019). In three countries, Belize, Colombia, and Saint Lucia, there was a Joinpoint in 2019 (95% IC 2017-2020). Finally, there were six countries: Bahamas, Dominica, Mexico, Saint Kitts and Nevis, Suriname, and Uruguay, with a Joinpoint in 2020 (95% IC 2014-2020). In all these countries, there was a decrease in the APC. The only exceptions were four countries, Canada, Bahamas, Mexico, and Suriname, which managed to have an increase in the period after the Joinpoint.
Using interrupted time series analysis, we detected changes, although not significant, in all the regions of America.
Table 6 presents the segmented regression analysis of DTP3 vaccine coverage parameters. (
Figure 33,
Figure 34,
Figure 35 and
Figure 36)
In the Americas (
Figure 33), the year’s coefficient was -271,700 (p = 0.002), suggesting a decreasing trend in DTP3 vaccinations over the years. The COVID-19 coefficient is negative, approximately -3,824,000, indicating a decrease during the pandemic, but it is not statistically significant, with a p-value of 0.082.
In North America, the COVID-19 coefficient is negative, approximately -960,900, but it is not statistically significant, with a p-value of 0.140. (
Figure 34)
In Latin America and the Caribbean, the coefficient of COVID-19 was -3,408,000, indicating a decrease during the pandemic. (
Figure 35) However, the p-value for this coefficient was 0.078, which is marginally above the typical significance level of 0.05.
In Central America, the coefficient of COVID-19 was -73,740, but it was not statistically significant. (
Figure 36)
In the Caribbean, the COVID-19 coefficient was negative, -94,750, but it was not statistically significant, with a p-value of 0.195. (
Figure 37)
In the Caribbean, the COVID-19 coefficient was negative, -2,071,000, but it was not statistically significant (
Figure 38).
In the segmented regression, we also detected four American countries, Belize, Grenada, Peru, and Suriname, which significantly decreased the number of children vaccinated with DTP3 after the COVID-19 pandemic. (
Table 7). The United States and Mexico experienced a negative decrease close to signification. 18 American countries such as Antigua and Barbuda, Argentina, Bahamas, Barbados, Bolivia, Brazil, Canada, Chile, Dominican Republic, Ecuador, El Salvador, Haiti, Honduras, Jamaica, Nicaragua, Panama, Saint Vincent and the Grenadines, Uruguay, Venezuela also experienced a decrease in the number of children vaccinated with DTP3. However, this decrease was not statistically significant.
The segmented regression model explains a high proportion of the variance in the number of children who received DTP3 doses in Belize (
Figure 39), with an R2 value of 0.937, suggesting a good fit. The COVID-19 variable is significant (p < 0.05), with a coefficient of approximately -3,833. This suggests that the COVID-19 pandemic is associated with a decrease in the number of DTP3 vaccinations. The Interaction term has a positive coefficient of approximately 240, but this is not statistically significant.
For the data from Grenada (
Figure 40), the segmented regression analysis has been conducted, yielding the following results: The R2 value of the model is 0.983, indicating that the model explains a remarkably high portion of the variance in the DTP3 vaccination numbers, suggesting a perfect fit. The coefficient for the COVID-19 variable is statistically significant (p < 0.05) with a value of approximately -837.68, indicating that the start of the COVID-19 pandemic is associated with a significant decrease in the number of DTP3 vaccinations. The Year variable has a negative coefficient of -12.09 and is approaching statistical significance (p = 0.067). This suggests a decrease in vaccinations over the years, but this trend is not statistically significant at 0.05. The Interaction term, which represents the interaction between the year and the occurrence of COVID-19, has a positive coefficient of 41.60, but this is not statistically significant (p > 0.05). This suggests that the interaction effect does not contribute significantly to the model.
The model for Peru (
Figure 41) has an R2 value of 0.803, which is considered a good fit, meaning that the model explains a considerable proportion of the variance in the DTP3 vaccination numbers. The coefficient for COVID-19 is significantly negative (p < 0.05) with a value of approximately -372,300, indicating that the onset of the COVID-19 pandemic is associated with a substantial decrease in the number of DTP3 vaccinations. The Interaction term is significant (p < 0.05) with a coefficient of approximately 34,450, indicating that the interaction between the year and the occurrence of COVID-19 has a statistically significant effect on the number of vaccinations.
In the segmented regression analysis for Suriname (
Figure 42), the model’s R2 value is 0.733, indicating that it explains a good portion of the variance in the DTP3 vaccination numbers. The coefficient for COVID-19 is significantly negative (p < 0.05) with a value of approximately -15,210, which implies that the onset of the COVID-19 pandemic is associated with a significant decrease in the number of DTP3 vaccinations. The Interaction term is significant (p < 0.05) with a coefficient of approximately 1420, indicating that the interaction between the year and the occurrence of COVID-19 has a statistically significant effect on the number of vaccinations.
In Mexico (
Figure 43), the model has a good fit with an R2 value of 0.884, suggesting a perfect fit. The coefficient for Year is significantly negative (p < 0.05) with a value of approximately -63,130, indicating a significant decline in DTP3 vaccinations over the years.<The Covid19 coefficient is negative with a value of approximately -1,379,000. Although this suggests a substantial decrease in vaccinations during the pandemic, it is not statistically significant (p = 0.098).
The segmented regression analysis for the United States data (
Figure 44) provides the following insights: the model has a good fit with an R2 value of 0.848. The coefficient for Year is significantly negative (p < 0.01) with a value of approximately -44,760, suggesting a declining trend in the number of DTP3 vaccinations over the years. The COVID-19 coefficient is negative with a value of approximately -1,093,000, which would indicate a substantial decrease in the number of vaccinations during the pandemic, but it is not statistically significant (p = 0.092). The Interaction term has a positive coefficient of approximately 108,000, indicating a potential interaction effect between the point year and the occurrence of COVID-19 on the number of vaccinations, but it is also not statistically significant (p = 0.099).
Table 8 summarizes all the significant tests to allow for a global vision.
4. Discussion
Our research focused on examining the effects of the COVID-19 pandemic on DTP immunization patterns across the Americas. Findings reveal that vaccination rates have been negatively impacted in various American countries, particularly Central America.
4.1. Overview of the Study and Its Context
4.1.1. Methodological Considerations and Data Limitations
Our methodologies included comparing country-specific vaccination coverage between 2019 and 2022 and analyzing trends using joint points and segmented regression, which makes our findings more robust.
While acknowledging the constraints of available data and potential inconsistencies in reporting, the significance of the United Nations Children’s Fund’s dataset for this investigation remains paramount. Despite the United Nations Children’s Fund’s consistent methodology in data collection and reporting, variations in national healthcare infrastructures and reporting systems might lead to discrepancies in data quality and precision, potentially influencing the interpretations of our analysis. Furthermore, the data’s compilation at national and regional scales could mask local nuances in vaccination trends, especially in areas with healthcare accessibility issues or socioeconomic disparities. Nevertheless, in the last 20 years, global immunization coverage data quality improved [
71]. As of the latest data update, 2022, our study does not include real-time data from 2023 onwards. Thus, our findings might not fully capture the ongoing impact of the COVID-19 pandemic on DTP vaccination rates in the Americas. Future research, with access to more current data, would be essential in providing a more comprehensive understanding of these trends.
4.1.2. Discrepancies in Vaccine Coverage Data and Trend Analysis.
There appears to be a disparity between the number of countries in the Americas that experienced a significant drop in immunization rates between 2019 and 2022, totaling 22, and the smaller subset of 16 countries within this group where a decrease in vaccination trends was observed. This variation can be attributed to the fact that, despite the reduction in vaccine coverage in particular countries over the observed years, the decrease is not yet significant enough to establish a trend shift in some of these nations due to the small number of births in some countries. Additionally, the discrepancy in results between Joinpoint and segmented regression may also be influenced by the methodologies employed: Joinpoint regression identifies year-significant trend changes but with a 95% confidence interval that spans a range of years, whereas segmented regression focuses on a precise time point. This difference in approach to determining trend changes at specific times versus a range of years can lead to varying interpretations in the vaccination coverage data [
72,
73,
74].
4.2. Analysis of DTP3 Vaccination Trends
The data analysis shows a declining trend in vaccination coverage throughout the Americas, possibly due to socioeconomic and cultural factors and vaccine hesitancy, which COVID-19 exacerbated [
75,
76].
In the context of DTP3 vaccine coverage between 2019 and 2022, several American countries exhibited an increase in vaccine coverage. Brazil led this trend with a notable 7% increase in coverage. Following Brazil, Antigua and Barbuda saw a 4% rise, while Jamaica experienced a 2% increase. Canada and Mexico also reported modest increases of 1% each. Despite the challenging times of the COVID-19 pandemic, these enhancements in vaccine coverage highlight the effectiveness of public health interventions and the resilience of healthcare systems in these countries.
Conversely, several countries demonstrated stability in their DTP3 vaccine coverage during the same period. Countries such as Chile, Costa Rica, Cuba, Haiti, and Suriname maintained their coverage levels, with no percentage change observed. Amidst the global health crisis, this stability underscores the strength and consistency of vaccination programs in these nations. It suggests that these countries successfully navigated the complexities introduced by the pandemic, ensuring uninterrupted vaccine delivery to their populations.
However, the study also identified countries with declining DTP3 vaccine coverage. The Dominican Republic, Guyana, Panama, Saint Kitts, and Nevis experienced a 1% decrease, while Argentina faced a 2% decline. These reductions highlight the challenges and disruptions caused by the COVID-19 pandemic, potentially reflecting resource reallocation, access issues, or public hesitancy toward vaccination. It underscores the need for focused efforts to strengthen and adapt vaccination programs in the face of such unprecedented global health challenges.
Our analysis revealed that DTP3 rates remained constant throughout the 2019-22 pandemic in most North American nations, as shown in
Table 4. This finding is intriguing and merits further investigation, especially considering the contrasting 4% absolute reduction in DTP3 rates observed across the Americas during the same timeframe. In this period, Canada and Mexico exhibited a minor increase in DTP3 rates, whereas the United States maintained its existing level of coverage [
4]. The countries that did not have their coverage affected at the end of the pandemic were Cuba, the United States of America, Trinidad and Tobago, Haiti, Chile, Uruguay, Costa Rica, and Suriname. These results could indicate the efficiency of the national vaccination programs and the resilience of healthcare systems in these countries, enabling them to sustain their immunization rates in the face of numerous challenges presented by the persistent COVID-19 pandemic globally.
Nevertheless, there are differences in subnational units. For example, In Haiti, a significant decrease in DPT3 service volume, amounting to 5% or more, was observed in 80% of the subnational regions during the third quarter of 2022 [
77].
Conversely, during this period, Grenada, Paraguay, Ecuador, El Salvador, Belize, Saint Lucia, Honduras, Venezuela, Colombia, Dominica, Bolivia, Guatemala, Nicaragua, Peru, Saint Vincent and the Grenadines, Barbados, Argentina, Bahamas, Dominican Republic, Guyana, Panama, Saint Kitts and Nevis experienced decreases in DTP3 vaccine coverage. Many countries had a slight decline in coverage of -1%, like the Dominican Republic, Guyana, Panama, Saint Kitts and Nevis, with no statistically significant decrease. Furthermore, other countries like Grenada and Saint Lucia had massive reductions -17% and 11%- but they were not statistically significant.
In contrast, in countries like Paraguay, Ecuador, El Salvador, Belize, and Honduras, absolute coverage decreased from -17% to -10%. This reduction might be ascribed to enduring issues in the country’s health system infrastructure, particularly shortcomings in the vaccine distribution network, a situation potentially aggravated by the extra burden imposed by the COVID-19 pandemic [
78,
79,
80,
81,
82,
83].
Our study has revealed notable reductions in immunization rates across various American nations. Additionally, we observed a shift in the trend of vaccine coverage in Latin America and the Caribbean. This trend shift, marked by an accelerated decline in coverage, was evident in all subregions. It proved statistically significant in the Caribbean (P=0.031) and South America (P=0.001). There was also a noticeable acceleration in the decline of coverage in Central America, although this has not yet reached statistical significance, possibly due to the limited duration of the follow-up period. Our findings are consistent with literature indicating that DTP3 rates witnessed a decline of -5.06% in the Caribbean and Latin America between 2019 and 2021. The DTP3 rate fell from 79% in 2019 to 75% in 2020 [
35].
A significant observation in our comprehensive study examining DTP vaccination trends in America was the reduction in DTP3 vaccine coverage from 2019-2022 in Central America. This period, coinciding with the COVID-19 pandemic, marked an acceleration in the decrease in coverage that was a notable deviation from the previous downward trend, with an APC of -2.6%, indicating a substantial decrease in vaccination rates.
4.3. Comparative Global and Regional Perspectives
The global decline in vaccine coverage, spurred by the COVID-19 pandemic, extends beyond DTP vaccines. From January to December 2020, approximately 30 million children missed DTP3 vaccinations, and 27.2 million missed MCV1 vaccinations [
32]. It has been reported that there was also a reduction in HPV in some parts of the United States [
75]. The worldwide coverage of DTP3 experienced a decline of 5.81% from 2019 to 2021, decreasing from 86% to 81% [
51].In considering the broader implications of our findings, it is crucial to assess the impact of the digital divide on data reporting. In regions of the Americas with limited access to technological resources, the accuracy and timeliness of data reporting may be compromised. This factor is crucial in understanding the regional disparities in vaccine coverage and the challenges in data collection.
The decrease in DTP coverage is a global problem. The Global coverage of the DTP3 decreased from 86% in 2019 to 83% in 2020 [
51,
84]. Similar declines had been found in Africa and Asia [
44,
85]. In contrast to other regions, Europe experienced a minor reduction in vaccination coverage. Specifically, the coverage for the third dose of the Diphtheria-Tetanus-Pertussis (DTP3) vaccine saw a marginal decline of 1.05% from 2019 to 2021. This resulted in a slight dip in coverage rates, from 95% in 2019 to 94% in 2020. Furthermore, a comparative analysis with other regions, such as Africa or Europe, could offer valuable insights into global patterns and region-specific challenges in maintaining vaccination during the pandemic. Such a comparative perspective could help identify unique challenges and successful strategies in different regions, offering lessons for future healthcare planning and policy formulation.
4.4. Influential Factors and Challenges
Socioeconomic factors have been pivotal in influencing vaccine accessibility during the pandemic. Economic challenges exacerbated by the pandemic have widened existing disparities in healthcare access, further impacting vaccination rates. A detailed examination of these socioeconomic variables provides a more nuanced understanding of the vaccination landscape across different socio-demographic groups.
Numerous elements could account for the shift in vaccination coverage. Factors at the national level, like elevated fertility rates, combined with community-specific factors, such as widespread illiteracy, play a role in the higher incidence of unvaccinated children [
33,
86]. Research conducted in the US revealed that for all types of hepatitis vaccines, both adherence and completion rates are notably low, exhibiting considerable differences across various socio-demographic and clinical profiles. The likelihood of poor adherence and incomplete vaccination was typically linked to factors such as being male, belonging to a younger age group, identifying as Black or Hispanic, and having lower levels of education and household income [
87].
In Africa, incomplete vaccinations are primarily due to caregivers’ time constraints, limited immunization knowledge, vaccine or staff shortages at health facilities, missed vaccination chances, concerns about side effects, poor access to services, and caregiver vaccination beliefs [
88]. A recent study shows that 35.5% of African populations have incomplete immunization, with home births, rural residency, lack of prenatal care, limited immunization awareness, and maternal illiteracy being the main risk factors [
89].
Additionally, American countries varied public health policies and COVID-19 response strategies have potentially influenced DTP vaccination rates [
50]. Redirecting healthcare resources from routine vaccinations to COVID-19 response efforts in some regions may have contributed to the observed decline in vaccine coverage.
These reductions emphasize the significant influence of the COVID-19 pandemic on regular vaccination programs within the Americas, signaling a need for focused efforts to recover and enhance vaccine coverage. Covid-19 had an impact on children’s vaccination. The decline in vaccination rates can be linked to various factors associated with the COVID-19 pandemic, including the reallocation of healthcare resources to address the outbreak, the implementation of lockdowns, and the imposition of restrictions on movement that impeded access to vaccination services [
90,
91,
92,
93]. In a survey carried out among parents of children aged 0-4 years across America, Europe, and Australia, 83% of respondents considered it crucial for their child to receive the recommended vaccines despite the COVID-19 pandemic. About half of the routine vaccine appointments were postponed or canceled due to the pandemic. However, 61% of the parents indicated their desire to make up for missed vaccinations once COVID-19 restrictions were eased or lifted [
94].
4.5. Strategies and Interventions for Enhancing Vaccine Coverage
Interestingly, despite the pandemic’s difficulties, some nations, including Canada, Mexico, Jamaica, Antigua and Barbuda, and Brazil, were able to increase their vaccination coverage. It is essential to highlight the situation in Brazil, where the DPT3 rate increased by 7% towards the conclusion of the COVID-19 pandemic. This rise could be credited to successful immunization strategies, focused interventions, or heightened governmental backing for vaccination initiatives during the crisis. Analyzing and drawing lessons from the experiences of these nations is essential for enhancing immunization services in future crises.
As there are many incomplete vaccinations and the parents are willing to catch up, healthcare services should try to reach the parents [
4]. Strategies need to be developed to increase DTP3 vaccination coverage. One strategy that has been suggested is co-administration with other vaccines [
95].
The disparities observed across different countries emphasize the importance of developing specific strategies to boost vaccination rates, particularly in nations experiencing a downturn in these trends. Persistent oversight of vaccination initiatives, addressing challenges within healthcare systems, and active community involvement is crucial for sustaining and improving immunization rates in these areas.
Our findings are consistent with previous studies showing that the worldwide COVID-19 pandemic has interrupted crucial health services, including vaccination efforts, and has been linked to growing inequities [
96,
97,
98]. Moreover, concerns about contracting the virus and vacccine hesitancy might have contributed to parents’ hesitancy in seeking healthcare facilities for their children’s vaccinations [
99,
100]. Healthcare workers, especially community nurses, have an essential role [
20].
Last, policies should enhance public awareness about the importance of routine vaccinations and combating misinformation. Community-based interventions and social media campaigns can play a crucial role in increasing vaccine uptake [
14,
101].
4.6. The Role of Healthcare Systems and Planning
The disruption caused by the COVID-19 pandemic has underscored the importance of having robust health systems capable of maintaining vital medical services during challenging times. [
102]. Research has shown statistically significant differences in monthly vaccination rates between rural and urban regions [
103]. The differences in vaccination trends across regions emphasize the necessity for customized public health approaches, called precision public health [
103,
104]. Policies must be region-specific, considering each area’s unique challenges and resources.
Initiatives must be undertaken to fortify immunization programs and enhance vaccine coverage throughout the continent, especially in areas most impacted by the decline in vaccination rates [
105]. The decline in vaccination rates, especially in areas with weaker healthcare infrastructures, underscores the need to strengthen health systems, ensure adequate funding, train healthcare workers, and improve vaccine supply chains.
4.7. Looking to the Future
The decline in vaccination coverage has profound implications, such as the potential for outbreaks of diseases like diphtheria, tetanus, and pertussis, further straining healthcare systems amid the COVID-19 pandemic. Addressing the fall in immunization rates is critical, as the risks of postponing vaccinations are more significant than those associated with COVID-19 during routine immunizations [
106].
Efforts to enhance immunization rates must consider factors like healthcare access, vaccine supply issues, and government commitment. The decrease in countries meeting WHO’s DTP targets, particularly in Latin America and the Caribbean, underscores the need for targeted interventions. Additionally, even with improved vaccination programs, the time required for catch-up immunizations could be extended, raising the risk of disease outbreaks [
107,
108]. Prompt and efficient vaccine distribution and recovery of coverage levels are essential. Collaboration among governments, healthcare bodies, and international agencies is crucial to preserve vaccination progress and protect populations from vaccine-preventable diseases [
109,
110,
111,
112]. [
112] We should plan for the next pandemic, analyzing and replicating the strategies of countries that have successfully increased or maintained high vaccination rates post-pandemic, which could be beneficial. It is also essential to strengthen epidemiology services related to preventing vaccine-preventable diseases. Continuous monitoring and evaluation of vaccination programs are crucial. Identifying and addressing issues promptly can avoid further declines in vaccination rates.
Despite initial fears and logistical challenges like transportation restrictions, community commitment to vaccination during the pandemic remained strong in many countries. Systemic changes within healthcare, such as staff reallocations, caused temporary delays but were efficiently addressed. Notably, some community misconceptions about the pandemic existed but did not significantly deter vaccination efforts, reflecting a deep-rooted trust in the importance of vaccines [
113]. It is crucial to monitor subnational units to avoid inequities [
77].
Figure 1.
Joinpoint graph of DTP3 in the Americas (2012-22).
Figure 1.
Joinpoint graph of DTP3 in the Americas (2012-22).
Figure 2.
Joinpoint graph of DTP3 in North America (2012-22).
Figure 2.
Joinpoint graph of DTP3 in North America (2012-22).
Figure 3.
Joinpoint graph of DTP3 in Latin America and the Caribbean (2012-22.
Figure 3.
Joinpoint graph of DTP3 in Latin America and the Caribbean (2012-22.
Figure 4.
Joinpoint graph of DTP3 in Central America. (2012-22).
Figure 4.
Joinpoint graph of DTP3 in Central America. (2012-22).
Figure 5.
Joinpoint graph of DTP3 in the Caribbean (2012-22).
Figure 5.
Joinpoint graph of DTP3 in the Caribbean (2012-22).
Figure 6.
Joinpoint graph of DTP3 in South America (2012-22).
Figure 6.
Joinpoint graph of DTP3 in South America (2012-22).
Figure 7.
Evolution of DTP3 rates (2012-22) in South America by Regions.
Figure 7.
Evolution of DTP3 rates (2012-22) in South America by Regions.
Figure 8.
Changes in DTP3 Coverage (%) in America 2019-20.
Figure 8.
Changes in DTP3 Coverage (%) in America 2019-20.
Figure 9.
Changes in DTP3 Coverage (%) in America 2019-21.
Figure 9.
Changes in DTP3 Coverage (%) in America 2019-21.
Figure 10.
Changes in DTP3 Coverage (%) in America 2019-22.
Figure 10.
Changes in DTP3 Coverage (%) in America 2019-22.
Figure 11.
American Countries Meeting the WHO 90% DTP3 Vaccination Coverage Target in 2019.
Figure 11.
American Countries Meeting the WHO 90% DTP3 Vaccination Coverage Target in 2019.
Figure 12.
American Countries Meeting the WHO 90% DTP3 Vaccination Coverage Target in 2022.
Figure 12.
American Countries Meeting the WHO 90% DTP3 Vaccination Coverage Target in 2022.
Figure 13.
Joinpoint graph of DTP3 in Antigua and Barbuda (2012-22).
Figure 13.
Joinpoint graph of DTP3 in Antigua and Barbuda (2012-22).
Figure 14.
Joinpoint graph of DTP3 in the Bahamas. (2012-22).
Figure 14.
Joinpoint graph of DTP3 in the Bahamas. (2012-22).
Figure 15.
Joinpoint graph of DTP3 in Belize. (2012-22).
Figure 15.
Joinpoint graph of DTP3 in Belize. (2012-22).
Figure 16.
Joinpoint graph of DTP3 in Canada (2012-22).
Figure 16.
Joinpoint graph of DTP3 in Canada (2012-22).
Figure 17.
Joinpoint graph of DTP3 in Colombia (2012-22).
Figure 17.
Joinpoint graph of DTP3 in Colombia (2012-22).
Figure 18.
Joinpoint graph of DTP3 in Costa Rica (2012-22).
Figure 18.
Joinpoint graph of DTP3 in Costa Rica (2012-22).
Figure 19.
Joinpoint graph of DTP3 in Dominica (2012-22).
Figure 19.
Joinpoint graph of DTP3 in Dominica (2012-22).
Figure 20.
Joinpoint graph of DTP3 in Ecuador (2012-22).
Figure 20.
Joinpoint graph of DTP3 in Ecuador (2012-22).
Figure 21.
Joinpoint graph of DTP3 in Grenada (2012-22).
Figure 21.
Joinpoint graph of DTP3 in Grenada (2012-22).
Figure 22.
Joinpoint graph of DTP3 in Haiti (2012-22).
Figure 22.
Joinpoint graph of DTP3 in Haiti (2012-22).
Figure 23.
Joinpoint graph of DTP3 in Jamaica (2012-22).
Figure 23.
Joinpoint graph of DTP3 in Jamaica (2012-22).
Figure 24.
Joinpoint graph of DTP3 in Mexico. (2012-22).
Figure 24.
Joinpoint graph of DTP3 in Mexico. (2012-22).
Figure 25.
Joinpoint graph of DTP3 in Nicaragua (2012-22).
Figure 25.
Joinpoint graph of DTP3 in Nicaragua (2012-22).
Figure 26.
Joinpoint graph of DTP3 in Paraguay (2012-22).
Figure 26.
Joinpoint graph of DTP3 in Paraguay (2012-22).
Figure 27.
Joinpoint graph of DTP3 in Peru (2012-22).
Figure 27.
Joinpoint graph of DTP3 in Peru (2012-22).
Figure 28.
Joinpoint graph of DTP3 in Saint Kitts and Nevis (2012-22).
Figure 28.
Joinpoint graph of DTP3 in Saint Kitts and Nevis (2012-22).
Figure 29.
Joinpoint graph of DTP3 in Saint Lucia (2012-22).
Figure 29.
Joinpoint graph of DTP3 in Saint Lucia (2012-22).
Figure 30.
Joinpoint graph of DTP3 in Saint Vincent and the Grenadines (2012-22).
Figure 30.
Joinpoint graph of DTP3 in Saint Vincent and the Grenadines (2012-22).
Figure 31.
Joinpoint graph of DTP3 in Suriname (2012-22).
Figure 31.
Joinpoint graph of DTP3 in Suriname (2012-22).
Figure 32.
Joinpoint graph of DTP3 in Uruguay (2012-22).
Figure 32.
Joinpoint graph of DTP3 in Uruguay (2012-22).
Figure 33.
Segmented Regression Analysis of DTP3 in the Americas, representing the actual DTP3 vaccination numbers (in dark blue) against the predicted values from the segmented regression (in light coral.
Figure 33.
Segmented Regression Analysis of DTP3 in the Americas, representing the actual DTP3 vaccination numbers (in dark blue) against the predicted values from the segmented regression (in light coral.
Figure 34.
Segmented Regression Analysis of DTP3 in North America, representing the actual DTP3 vaccination numbers (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 34.
Segmented Regression Analysis of DTP3 in North America, representing the actual DTP3 vaccination numbers (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 35.
Segmented Regression Analysis of DTP3 Vaccination in Latin America and the Caribbean. The actual DTP3 vaccination numbers (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 35.
Segmented Regression Analysis of DTP3 Vaccination in Latin America and the Caribbean. The actual DTP3 vaccination numbers (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 36.
Segmented Regression Analysis of DTP3 vaccination in Central America. The actual DTP3 (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 36.
Segmented Regression Analysis of DTP3 vaccination in Central America. The actual DTP3 (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 37.
Segmented Regression Analysis of DTP3 Vaccination in the Caribbean. The actual DTP3 (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 37.
Segmented Regression Analysis of DTP3 Vaccination in the Caribbean. The actual DTP3 (in dark blue) against the predicted values from the segmented regression (in light coral).
Figure 38.
Segmented Regression Analysis of DTP3 Vaccination in South America. The actual DTP3 numbers (in dark blue) are represented against the predicted values from the segmented regression (in light coral).
Figure 38.
Segmented Regression Analysis of DTP3 Vaccination in South America. The actual DTP3 numbers (in dark blue) are represented against the predicted values from the segmented regression (in light coral).
Figure 39.
Segmented Regression Analysis of DTP3 Vaccination in Belize, representing the actual number of DTP3 vaccinations (in blue) and the fitted values from the segmented regression (in red).
Figure 39.
Segmented Regression Analysis of DTP3 Vaccination in Belize, representing the actual number of DTP3 vaccinations (in blue) and the fitted values from the segmented regression (in red).
Figure 40.
Segmented Regression Analysis of DTP3 vaccinations in Grenada represents the number of DTP3 vaccinations (in green) and the fitted values from the segmented regression (in orange.
Figure 40.
Segmented Regression Analysis of DTP3 vaccinations in Grenada represents the number of DTP3 vaccinations (in green) and the fitted values from the segmented regression (in orange.
Figure 41.
Segmented Regression Analysis of DTP3 vaccinations in Peru representing the actual DTP3 vaccination numbers (in purple) and the fitted values from the segmented regression (in gold),.
Figure 41.
Segmented Regression Analysis of DTP3 vaccinations in Peru representing the actual DTP3 vaccination numbers (in purple) and the fitted values from the segmented regression (in gold),.
Figure 42.
Segmented Regression Analysis of DTP3 vaccinations in Suriname representing the actual DTP3 vaccination numbers (in dark cyan) and the fitted values from the segmented regression (in magenta).
Figure 42.
Segmented Regression Analysis of DTP3 vaccinations in Suriname representing the actual DTP3 vaccination numbers (in dark cyan) and the fitted values from the segmented regression (in magenta).
Figure 43.
Segmented Regression Analysis of DTP3 vaccinations in Mexico representing the actual DTP3 vaccination numbers in (in brown) and the predicted values from the segmented regression (in teal).
Figure 43.
Segmented Regression Analysis of DTP3 vaccinations in Mexico representing the actual DTP3 vaccination numbers in (in brown) and the predicted values from the segmented regression (in teal).
Figure 44.
Segmented Regression Analysis of DTP3 vaccinations in the United States representing the actual DTP3 vaccination numbers in (in dark red) against the predicted values from the segmented regression (in sky blue).
Figure 44.
Segmented Regression Analysis of DTP3 vaccinations in the United States representing the actual DTP3 vaccination numbers in (in dark red) against the predicted values from the segmented regression (in sky blue).
Table 1.
Joinpoint analysis for the third doses DTP vaccination rates in the Americas, 2012–2022.
Table 1.
Joinpoint analysis for the third doses DTP vaccination rates in the Americas, 2012–2022.
Periods |
Years |
APC (95% CI) |
P |
Total Period |
2012-2021 |
-1.4 (-1.8.; -1.0) |
< 0.001 |
Period 1 |
2012-2016 |
-0.7 (-2.9; 1.5) |
0.464 |
Period 2 |
2016-2022 |
-1.8 (-2.9; -0.7) |
0.008 |
Table 2.
DTP3 Joinpoint in American regions, 2012–22.
Table 2.
DTP3 Joinpoint in American regions, 2012–22.
Periods |
Years |
APC |
95% LCI |
95% UCI |
P |
North America |
|
|
|
|
|
Total Period |
2012-2022 |
-0.1 |
0.2 |
0 |
0.136 |
Period 1 |
2012-2014 |
0.6 |
-0.2 |
1.4 |
0.494 |
Period 2 |
2014-2022 |
-0.2 |
-0.9 |
0.1 |
0.057 |
Latin America and the Caribbean |
|
|
|
|
|
Total Period |
2012-2022 |
-2.1 |
-2.7 |
-1.5 |
< 0.001 |
Period 1 |
2012-2016 |
-0.9 |
-4.4 |
2.6 |
0.531 |
Period 2 |
2016-2022 |
-2.7 |
-4.5 |
-0.9 |
0.010 |
Central America |
|
|
|
|
|
Total Period |
2012-2022 |
-1.3 |
-2.1 |
-0.4 |
0.009 |
Period 1 |
2012-2019 |
-0.9 |
-2.8 |
1.1 |
0.321 |
Period 2 |
2019-2022 |
-2.6 |
-8.6 |
3.8 |
0.354 |
Caribbean |
|
|
|
|
|
Total Period |
2012-2022 |
-0.7 |
-1.1 |
-0.4 |
0.001 |
Period 1 |
2012-2016 |
0.0 |
-1.9 |
2.0 |
0.996 |
Period 2 |
2016-2022 |
-1.1 |
-2.1 |
-0.1 |
0.031 |
South America |
|
|
|
|
|
Total Period |
2012-2022 |
-2.5 |
-3.1 |
-1.8 |
< 0.001 |
Period 1 |
2012-2015 |
-0.3 |
-5.9 |
5.6 |
0.895 |
Period 2 |
2015-2022 |
-3.1 |
-4.4 |
-1.8 |
0.001 |
Table 3.
Changes in DTP3 rate (%) in American Regions between 2019-22.
Table 3.
Changes in DTP3 rate (%) in American Regions between 2019-22.
Region |
2019 |
2020 |
2021 |
2022 |
Absolute Changes 2019–2022 |
Relative Changes 2019–2022 |
Americas |
84 |
81 |
81 |
83 |
-1% |
-1,19% |
North America |
94 |
93 |
94 |
94 |
0% |
0,00% |
Latin America and the Caribbean |
80 |
76 |
75 |
79 |
-1% |
-1,25% |
South America |
78 |
76 |
74 |
78 |
0% |
0,00% |
Central America |
89 |
83 |
82 |
82 |
-7% |
-7,87% |
Caribbean |
81 |
79 |
79 |
81 |
0% |
0,00% |
Table 4.
Changes in DTP3 rates (%) Across American Countries 2019-22.
Table 4.
Changes in DTP3 rates (%) Across American Countries 2019-22.
|
2019 |
2022 |
|
Country |
DTP3 (%) |
Births (n) |
DTP3 (%) |
Births (n) |
p †
|
Antigua and Barbuda |
95 |
1058 |
99 |
1124 |
<0.001 |
Argentina |
83 |
661385 |
81 |
627741 |
<0.001 |
Bahamas |
89 |
4641 |
87 |
4659 |
ns |
Barbados |
90 |
3050 |
86 |
3037 |
ns |
Belize |
98 |
7333 |
84 |
7193 |
0.003 |
Bolivia |
75 |
263006 |
69 |
264070 |
<0.001 |
Brazil |
70 |
2886359 |
77 |
2723266 |
<0.001 |
Canada |
91 |
363393 |
92 |
376188 |
ns |
Chile |
96 |
224350 |
96 |
230824 |
ns |
Colombia |
94 |
733940 |
87 |
723264 |
<0.001 |
Costa Rica |
95 |
65282 |
95 |
60517 |
ns |
Cuba |
99 |
110404 |
99 |
99693 |
ns |
Dominica |
99 |
946 |
92 |
966 |
ns |
Dominican Republic |
89 |
210196 |
88 |
203625 |
ns |
Ecuador |
85 |
300075 |
70 |
298666 |
<0.001 |
El Salvador |
90 |
103547 |
75 |
100313 |
<0.001 |
Grenada |
94 |
2041 |
77 |
1960 |
0.054 |
Guatemala |
85 |
391582 |
79 |
372335 |
<0.001 |
Guyana |
99 |
16898 |
98 |
16129 |
ns |
Haiti |
51 |
271669 |
51 |
268523 |
ns |
Honduras |
88 |
215469 |
78 |
217590 |
<0.001 |
Jamaica |
96 |
33815 |
98 |
32663 |
ns |
Mexico |
82 |
1965139 |
83 |
1866399 |
<0.001 |
Nicaragua |
98 |
142181 |
92 |
139164 |
<0.001 |
Panama |
88 |
77044 |
87 |
76637 |
ns |
Paraguay |
86 |
139138 |
69 |
137960 |
<0.001 |
Peru |
88 |
591025 |
82 |
592156 |
<0.001 |
Saint Kitts and Nevis |
97 |
607 |
96 |
563 |
ns |
Saint Lucia |
92 |
2113 |
81 |
2035 |
ns |
Saint Vincent and the Grenadines |
97 |
1405 |
92 |
1324 |
ns |
Suriname |
77 |
11049 |
77 |
11123 |
ns |
Trinidad and Tobago |
93 |
18904 |
93 |
17429 |
ns |
Uruguay |
94 |
3756830 |
94 |
3726867 |
ns |
United States |
94 |
37107 |
94 |
35668 |
ns |
Venezuela |
64 |
497361 |
56 |
438384 |
<0.001 |
Table 5.
Joinpoint analysis DTP3 rates in America, 2012–2022.
Table 5.
Joinpoint analysis DTP3 rates in America, 2012–2022.
Country |
Years |
APC |
95% LCI |
95% UCI |
P |
Antigua and Barbuda |
|
|
|
|
|
Total Period |
2012-2022 |
-0.4 |
-0.9 |
0 |
0.04 |
Period 1 |
2012-2017 |
-1.2 |
-2.7 |
0.4 |
0.118 |
Period 2 |
2017-2022 |
0.3 |
-1.3 |
1.9 |
0.677 |
Bahamas |
|
|
|
|
|
Total Period |
2012-2022 |
-1.5 |
-2 |
-0.9 |
< 0.001 |
Period 1 |
2012-2020 |
-1.8 |
-2.2 |
-1.4 |
< 0.001 |
Period 2 |
2020-2022 |
0.6 |
-2.7 |
3.9 |
0.697 |
Belize |
|
|
|
|
|
Total Period |
2012-2022 |
-1.6 |
-2.6 |
-0.6 |
0.005 |
Period 1 |
2012-2019 |
-0.8 |
-1.7 |
0.2 |
0.09 |
Period 2 |
2019-2022 |
-4.4 |
-8.3 |
-0.3 |
0.04 |
Canada |
|
|
|
|
|
Total Period |
2012-2022 |
0.1 |
0.1 |
0.2 |
0.003 |
Period 1 |
2012-2018 |
0 |
-0.1 |
0.1 |
0.931 |
Period 2 |
2018-2022 |
0.3 |
0.1 |
0.6 |
0.008 |
Colombia |
|
|
|
|
|
Total Period |
2012-2022 |
-0.4 |
-0.9 |
0.1 |
0.102 |
Period 1 |
2012-2019 |
0.3 |
0 |
0.6 |
0.071 |
Period 2 |
2019-2022 |
-2.6 |
-3.8 |
-1.4 |
0.002 |
Costa Rica |
|
|
|
|
|
Total Period |
2012-2022 |
-0.4 |
-0.9 |
0.1 |
0.102 |
Period 1 |
2012-2017 |
0.8 |
-0.6 |
2.3 |
0.198 |
Period 2 |
2017-2022 |
-0.2 |
-1.6 |
1.2 |
0.702 |
Dominica |
|
|
|
|
|
Total Period |
2012-2022 |
-0.4 |
-1 |
0.1 |
0.101 |
Period 1 |
2012-2020 |
-0.2 |
-1.3 |
0.9 |
0.677 |
Period 2 |
2020-2022 |
-2.2 |
-12.5 |
9.3 |
0.635 |
Ecuador |
|
|
|
|
|
Total Period |
2012-2022 |
-1.9 |
-3.2 |
-0.7 |
0.007 |
Period 1 |
2012-2018 |
-0.3 |
-3.2 |
2.8 |
0.843 |
Period 2 |
2018-2022 |
-4.8 |
-10.1 |
0.8 |
0.078 |
Grenada |
|
|
|
|
|
Total Period |
2012-2022 |
-2.7 |
-4.1 |
-1.3 |
0.002 |
Period 1 |
2012-2018 |
-0.5 |
-3.5 |
2.6 |
0.71 |
Period 2 |
2018-2022 |
-6.5 |
-12.1 |
-0.6 |
0.036 |
Haiti |
|
|
|
|
|
Total Period |
2012-2022 |
-3.0 |
-4.3 |
-1.7 |
0.001 |
Period 1 |
2012-2017 |
-0.8 |
-5.2 |
3.7 |
0.663 |
Period 2 |
2017-2022 |
-5.1 |
-9.3 |
-0.7 |
0.029 |
Jamaica |
|
|
|
|
|
Total Period |
2012-2022 |
0.2 |
-0.3 |
0.7 |
0.476 |
Period 1 |
2012-2018 |
0.4 |
-0.8 |
1.6 |
0.427 |
Period 2 |
2018-2022 |
-0.7 |
-6 |
4.8 |
0.756 |
Mexico |
|
|
|
|
|
Total Period |
2012-2022 |
-1.7 |
-3.1 |
-0.2 |
0.027 |
Period 1 |
2012-2020 |
-2.3 |
-4.5 |
0 |
0.048 |
Period 2 |
2020-2022 |
2.4 |
-16.3 |
25.2 |
0.783 |
Nicaragua |
|
|
|
|
|
Total Period |
2012-2022 |
-0.9 |
-1.5 |
-0.4 |
0.006 |
Period 1 |
2012-2018 |
0.1 |
-1 |
1.2 |
0.875 |
Period 2 |
2018-2022 |
-2.7 |
-4.9 |
-0.6 |
0.022 |
Paraguay |
|
|
|
|
|
Total Period |
2012-2022 |
-2.8 |
-4.1 |
-1.5 |
0.001 |
Period 1 |
2012-2018 |
-0.3 |
-1.1 |
0.6 |
0.506 |
Period 2 |
2018-2022 |
-7.2 |
-8.8 |
-5.6 |
< 0.001 |
Peru |
|
|
|
|
|
Total Period |
2012-2022 |
-1.5 |
-2.6 |
-0.4 |
0.012 |
Period 1 |
2012-2017 |
-0.8 |
-5.4 |
4.1 |
0.709 |
Period 2 |
2017-2022 |
-2.3 |
-6.8 |
2.5 |
0.284 |
Saint Kitts and Nevis |
|
|
|
|
|
Total Period |
2012-2022 |
0 |
-0.3 |
0.2 |
0.87 |
Period 1 |
2012-2020 |
0.1 |
-0.3 |
0.6 |
0.489 |
Period 2 |
2020-2022 |
-1.2 |
-7.1 |
5.2 |
0.661 |
Saint Lucia |
|
|
|
|
|
Total Period |
2012-2022 |
-2.2 |
-3.2 |
-1.1 |
0.001 |
Period 1 |
2012-2019 |
-1.7 |
-4.1 |
0.8 |
0.141 |
Period 2 |
2019-2022 |
-3.8 |
-13.2 |
6.7 |
0.4 |
Saint Vincent and the Grenadines |
|
|
|
|
|
Total Period |
2012-2022 |
-0.5 |
-0.9 |
0 |
0.045 |
Period 1 |
2012-2017 |
0.6 |
-0.2 |
1.5 |
0.105 |
Period 2 |
2017-2022 |
-1.6 |
-2.4 |
-0.8 |
0.003 |
Suriname |
|
|
|
|
|
Total Period |
2012-2022 |
-1 |
-3.3 |
1.4 |
0.361 |
Period 1 |
2012-2020 |
-2.1 |
-4 |
-0.2 |
0.038 |
Period 2 |
2020-2022 |
7.3 |
-14 |
33.9 |
0.466 |
|
|
|
|
|
|
Uruguay |
2012-2022 |
-0.3 |
-0.6 |
-0.1 |
0.016 |
Period 1 |
2012-2020 |
-0.4 |
-0.9 |
0 |
0.049 |
Period 2 |
2020-2022 |
0.5 |
-4.5 |
5.8 |
0.817 |
Table 6.
Segmented Regression Analysis of Regional DTP3 Vaccine Coverage.
Table 6.
Segmented Regression Analysis of Regional DTP3 Vaccine Coverage.
Region |
Intercept |
Year |
Covid-19 |
Interaction |
The Americas |
14,257,167. |
-271,700*** |
-3,824,000 †
|
339,600†
|
North America |
6,419,470 |
-77,900*** |
-960,900 |
92,490, |
Latin America and the Caribbean |
10,258,998. |
-239,700 |
-3,408,000†
|
296,800 |
Central America |
842,631 |
-9,958* |
-73,740 |
1,035 |
The Caribbean |
595,044 |
-5,629* |
-94,750 |
6,845 |
South America |
6,552,726 |
-161,900** |
-2,071,000, |
181,600, |
Table 7.
Segmented Regression of the number of DTP3 vaccinations in American nations.
Table 7.
Segmented Regression of the number of DTP3 vaccinations in American nations.
Nation |
Intercept |
Year |
Covid-19 |
Interaction |
Antigua and Barbuda |
1,166 |
-25* |
-242 |
41 |
Argentina |
747,939 |
-21,550* |
-440,868 |
40,473 |
Bahamas |
5,272 |
-147* |
-2,177 |
235 |
Barbados |
2,906 |
-8 |
-444 |
19 |
Belize |
73,689 |
-7 |
-3,833* |
240 |
Bolivia |
246,668 |
-4,856† |
-80,433 |
6,430 |
Brazil |
3,086,377 |
-101,299* |
-799,678 |
76,649 |
Canada |
346,374 |
-1,670 |
-28,913 |
4,283* |
Chile |
223,231 |
-1,354 |
-54,775 |
6,213 |
Colombia |
671,882 |
277 |
43,507 |
-8,393 |
Costa Rica |
68482 |
-580†
|
4,127 |
-856 |
Cuba |
128,843 |
-2,206* |
1,376 |
-726 |
Dominica |
889 |
1 |
160 |
-16 |
Dominican Republic |
183,881 |
170 |
-58,735 |
4,679 |
Ecuador |
273,474 |
-3,456 |
-59,827 |
3,220 |
El Salvador |
116,148 |
-2,777* |
-27167 |
1,609 |
Grenada |
2,040 |
-12†
|
-838* |
42 |
Guatemala |
366,586 |
-4,476 |
36,154 |
-5,709 |
Guyana |
15,500 |
49 |
2,205 |
-220 |
Haiti |
183,283 |
-3,133 |
-39,333 |
2,490 |
Honduras |
215,078 |
-3,019 |
-29,014 |
1,396 |
Jamaica |
39,982 |
-942* |
-8,835 |
955 |
Mexico |
2,170,515 |
-63,127* |
-1,379,021†
|
131,627 |
Nicaragua |
140,894 |
-108 |
-4,172 |
-885 |
Panama |
62938 |
493 |
-48,279 |
4,392 |
Paraguay |
123,679 |
129 |
48,857 |
-7,328 |
Peru |
546,498 |
-5,221 |
-372,338* |
34,451* |
Saint Kitts and Nevis |
672 |
-10* |
123 |
-14 |
Saint Lucia |
2,207 |
-38†
|
242 |
-37 |
Saint Vincent and the Grenadines |
1,843 |
-57* |
-25 |
1 |
Suriname |
8105 |
31 |
-15,211* |
1,421* |
Trinidad and Tobago |
19,470 |
-221* |
3238 |
-372 |
United States |
3,884,049 |
-44,760* |
-1,093,444†
|
107,962†
|
Uruguay |
49,522 |
-1,632* |
-21,125 |
2,086 |
Venezuela |
549,286 |
-26,220 |
-268,317 |
23,130 |
Table 8.
Summary Table Displaying Joinpoints close to 2020, along with significant Chi-Square Test and Segmented Regression Analysis.
Table 8.
Summary Table Displaying Joinpoints close to 2020, along with significant Chi-Square Test and Segmented Regression Analysis.
|
Joinpoint |
X2
|
Segmented regression |
Country |
Estimate |
Lower 95%CI |
Upper 95%CI |
2019-22 |
2002-22 |
Antigua and Barbuda |
2017 |
2014 |
2020 |
<0.001 |
|
Argentina |
|
|
|
<0.001 |
|
Bahamas |
2020 |
2014 |
2020 |
|
|
Barbados |
|
|
|
|
|
Belize |
2019 |
2014 |
2020 |
0.003 |
<0.05 |
Bolivia (Plurinational State of) |
|
|
|
<0.001 |
|
Brazil |
|
|
|
<0.001 |
|
Canada |
2018 |
2016 |
2020 |
|
<0.05 |
Chile |
|
|
|
|
|
Colombia |
2019 |
2017 |
2020 |
<0.001 |
|
Costa Rica |
2017 |
2014 |
2020 |
|
|
Cuba |
|
|
|
|
|
Dominica |
2020 |
2014 |
2020 |
|
|
Dominican Republic |
|
|
|
|
|
Ecuador |
2018 |
2014 |
2020 |
<0.001 |
|
El Salvador |
|
|
|
<0.001 |
|
Grenada |
2018 |
2014 |
2020 |
|
<0.05 |
Guatemala |
|
|
|
<0.001 |
|
Guyana |
|
|
|
|
|
Haiti |
2017 |
2014 |
2020 |
|
|
Honduras |
|
|
|
<0.001 |
|
Jamaica |
2019 |
2014 |
2020 |
|
|
Mexico |
2020 |
2014 |
2020 |
<0.001 |
|
Nicaragua |
2018 |
2016 |
2020 |
<0.001 |
|
Panama |
|
|
|
|
|
Paraguay |
2018 |
2016 |
2019 |
<0.001 |
|
Peru |
2017 |
2014 |
2020 |
<0.001 |
<0.05 |
Saint Kitts and Nevis |
2020 |
2014 |
2020 |
|
|
Saint Lucia |
2019 |
2014 |
2020 |
|
|
Saint Vincent and the Grenadines |
2017 |
2014 |
2020 |
|
|
Suriname |
2020 |
2014 |
2020 |
|
<0.05 |
Trinidad andTobago |
|
|
|
|
|
Uruguay |
2020 |
2014 |
2020 |
|
|
United States |
|
|
|
|
|
Venezuela |
|
|
|
<0.001 |
|