Attitudes of pregnant women in the Dominican Republic towards a future maternal Group B Streptococcus vaccine

INTRODUCTION

Current protocols aim to prevent some infant GBS infection through screening and peripartum antibiotics, however such strategies cannot be widely implemented in resource-limited settings. On the other hand, maternal vaccines in development against Group B Streptococcus (GBS) can provide a feasible universal approach. The success of any vaccine will depend on uptake in the population. Rates of maternal GBS colonization in the Dominican Republic (DR) and Caribbean region are among the highest in the world, but little is known about attitudes towards maternal vaccines in this region.

METHODS

A cross-sectional, multicenter, mixed-methodology survey evaluated facilitators and barriers to maternal immunization and acceptability of a hypothetical Group B Streptococcus vaccine among pregnant women in three hospitals in the DR.

RESULTS

Six-hundred and fifty women completed the survey of whom 85 % had never heard of GBS. Following receipt of information about GBS and a vaccine, 94 % of women stated that they would be likely or very likely to receive a vaccine. Being 18 years or younger was associated with a lower likelihood of GBS vaccine receipt (AOR 0.32, 95 % CI 0.14-0.69). Being born in the DR was associated with a higher likelihood of GBS vaccine receipt (AOR 2.73, 95 % CI 1.25-5.97). Among women who were unlikely to receive the vaccine, uncertainty about potential harm from a novel vaccine was the prominent theme elicited from free text responses.

CONCLUSION

There was a high level of acceptance of a future GBS vaccine among this sample of pregnant women in the DR. However, knowledge of vaccines and vaccine-preventable diseases was low, and most women had concerns about the safety of new vaccines. Interventions that strengthen existing maternal immunisation infrastructures, including increasing education of pregnant women about vaccines, will aid the successful implementation of a future GBS vaccine.

Wavelet scattering transform and entropy features in fluorescence spectral signal analysis for cervical cancer diagnosis

Cervical cancer is a prevalent malignant tumor within the female reproductive system and is regarded as a prominent cause of female mortality on a global scale. Timely and precise detection of various phases of cervical cancer holds the potential to substantially enhance both the rate of successful treatment and the duration of patient survival. Fluorescence spectroscopy is a highly sensitive method for detecting the biochemical changes that arise during cancer progression. In our study, fluorescence spectral data is collected from a diverse group of 110 subjects. The potential of the scattering transform technique for the purpose of cancer detection is explored. The processed signal undergoes an initial decomposition into scattering coefficients using the wavelet scattering transform (WST). Subsequently, the scattering coefficients are subjected to computation for fuzzy entropy, dispersion entropy, phase entropy, and spectral entropy, for effectively characterizing the fluorescence spectral signals. These combined features generated through the proposed approach are then fed to 1D convolutional neural network (CNN) classifier to classify them into normal, pre-cancerous, and cancerous categories, thereby evaluating the effectiveness of the proposed methodology. We obtained mean classification accuracy of 97% using 5-fold cross-validation. This demonstrates the potential of combining WST and entropic features for analyzing fluorescence spectroscopy signals using 1D CNN classifier that enables early cancer detection in contrast to prevailing diagnostic methods.

Application of one-dimensional hierarchical network assisted screening for cervical cancer based on Raman spectroscopy combined with attention mechanism

Cervical cancer is one of the most common malignant tumors among women, and its pathological change is a relatively slow process. If it can be detected in time and treated properly, it can effectively reduce the incidence rate and mortality rate of cervical cancer, so the early screening of cervical cancer is particularly critical and significant. In this paper, we used Raman spectroscopy technology to collect the tissue sample data of patients with cervicitis, Low-grade Squamous Intraepithelial Lesion, High-grade Squamous Intraepithelial Lesion, Well differentiated squamous cell carcinoma, Moderately differentiated squamous cell carcinoma, Poorly differentiated squamous cell carcinoma and cervical adenocarcinoma. A one-dimensional hierarchical convolutional neural network based on attention mechanism was constructed to classify and identify seven types of tissue samples. The attention mechanism Efficient Channel Attention Networks module and Squeeze-and-Excitation Networks module were combined with the established one-dimensional convolutional hierarchical network model, and the results showed that the combined model had better diagnostic performance. The average accuracy, F1, and AUC of the Principal Component Analysis-Squeeze and Excitation-hierarchical network model after 5-fold cross validations could reach 96.49%±2.12%, 0.97±0.03, and 0.98±0.02, respectively, which were 1.58%, 0.0140, and 0.008 higher than those of hierarchical network. The recall rate of the Principal Component Analysis-Efficient Channel Attention-hierarchical network model was as high as 96.78%±2.85%, which is 1.47% higher than hierarchical network. Compared with the classification results of traditional CNN and ResNet for seven types of cervical cancer staging, the accuracy of the Principal Component Analysis-Squeeze and Excitation-hierarchical network model is 3.33% and 11.05% higher, respectively. The experimental results indicate that the model established in this study is easy to operate and has high accuracy. It has good reference value for rapid screening of cervical cancer, laying a foundation for further research on Raman spectroscopy as a clinical diagnostic method for cervical cancer.

HPV and Cervical Cancer: Molecular and Immunological Aspects, Epidemiology and Effect of Vaccination in Latin American Women

Cervical cancer is primarily caused by Human Papillomavirus (HPV) infection and remains a significant public health concern, particularly in Latin American regions. This comprehensive narrative review addresses the relationship between Human Papillomavirus (HPV) and cervical cancer, focusing on Latin American women. It explores molecular and immunological aspects of HPV infection, its role in cervical cancer development, and the epidemiology in this region, highlighting the prevalence and diversity of HPV genotypes. The impact of vaccination initiatives on cervical cancer rates in Latin America is critically evaluated. The advent of HPV vaccines has presented a significant tool in combating the burden of this malignancy, with notable successes observed in various countries, the latter due to their impact on immune responses. The review synthesizes current knowledge, emphasizes the importance of continued research and strategies for cervical cancer prevention, and underscores the need for ongoing efforts in this field.

For cervical cancer diagnosis: Tissue Raman spectroscopy and multi-level feature fusion with SENet attention mechanism

Cervical cancer ranks among the most prevalent forms of gynecological malignancies. Timely identification of cervical lesions and prompt intervention can effectively prevent the development of cervical cancer or enhance patients' chances of survival. In this study, we propose an innovative method based on Raman spectroscopy, i.e., a multi-level SENet attention mechanism feature fusion architecture (MAFA) for rapid diagnosis of cervical cancer and precancerous lesions. The convolution process of this architecture can extract features from shallow to deep layers, and the attention mechanism is added to achieve the fusion of features from different layers. The added attention mechanism can automatically determine the importance of each layer feature channel and assign weight values to that layer according to the importance of each layer to achieve the purpose of focusing the model on certain waveform features and improve the targeting of model learning. We collected Raman spectra of 212 cervical tissues containing cervical cancer and its precancerous lesions.The experimental results show that MAFA can effectively improve the diagnostic accuracy of VGGNet, GoogLeNet and ResNet models in the validation of Raman spectral data of cervical tissue. Among them, ResNet performed the best, with the highest average accuracy, precision, recall and F1-Score of 82.36%, 84.00%, 82.35% and 82.26%, respectively, when no feature fusion was performed. The evaluation metrics improved by 4.91%, 3.97%, 4.97%, and 5.06%, respectively, after using the MAFA; they also improved by 4.16%, 2.90%, 4.17%, and 4.32%, respectively, compared with the model that directly performs feature fusion without using the attention mechanism. Therefore, the MAFA proposed in this study is better than that of the neural network that directly fuses the features of each convolutional layer. The experimental results show that the performance of the MAFA proposed in this paper is significantly higher than that of traditional deep learning algorithms, indicating that the present architecture can effectively improve the diagnostic accuracy of deep learning networks for cervical cancer.

Epidemiology of Cervical Cancer in the Caribbean

Cervical cancer (CvC) is considered a preventable disease; however, in the Caribbean, it is still one of the fourth most common causes of death in women. Efforts to overcome obstacles to the treatment and control of this preventable disease are being made by several countries within the Caribbean. However, no health issue can be readily managed without first acquiring an understanding of the dynamics relating to its severity of impact reaching the target population, its clinical pathology, and the availability of treatment and/or preventative measures to control or halt its progression. To assess the status of CvC in the Caribbean, a review of the literature was conducted using PubMed. The Caribbean was defined in the review as comprising nations and islands whose coastlines are touched by the Caribbean Sea. This led to an assessment of the available literature on CvC for 33 Caribbean territories. The review showed a lack of published information on CvC and highlights the need for greater research. This also serves as a template for subsequent investigations.

H-CNN combined with tissue Raman spectroscopy for cervical cancer detection

Cervical cancer is one of the most common cancers with a long latent period and slow onset process. Early and accurate identification of the stage of cervical cancer can significantly improve the cure rate and patient survival time. In this study, we collected 699 Raman spectral data of tissue sections from 233 different patients. We analyzed and compared the characteristics and differences of the mean Raman spectra of the seven tissues and pointed out the main differences in the biochemical composition of the seven tissues. In this study, 1D hierarchical convolutional neural network (H-CNN) is proposed by integrating the prior knowledge of hierarchical classification relations with the research of deep learning in Raman spectroscopy. H-CNN is based on CNN and is added with three network branches. Hierarchical classification is performed from coarse to fine for tissue samples of cervicitis, Low-grade Squamous Cell Carcinoma, High-grade Squamous Cell Carcinoma, Well Differentiated Squamous Cell Carcinoma, Moderately Differentiated Squamous Cell Carcinoma, Poorly Differentiated Squamous Cell Carcinoma and cervical adenocarcinoma. To evaluate the recognition performance of H-CNN, we compared it with traditional methods such as Bayesian classifier (NB), decision tree classifier (DT), support vector machine classifier (SVM) and CNN. The experimental results show that H-CNN can accurately identify different classes of tissue sections and has apparent advantages in several aspects such as recognition accuracy, stability and sensitivity compared with the other four traditional recognition methods. The classification Macro-Accuracy of H-CNN can reach 94.91%, Macro-Recall can reach 95.31%, Macro-F1 can reach 95.23%, and Macro-AUC can reach 97.35%. The hierarchical classification method proposed in this study can diagnose patients more accurately. This could lay the foundation for further research on Raman spectroscopy as a clinical diagnostic method for cervical cancer.

Early screening of cervical cancer based on tissue Raman spectroscopy combined with deep learning algorithms

Cervical cancer is the most common reproductive malignancy in the female reproductive system. The incidence rate and mortality rate of cervical cancer among women in China are high. In this study, Raman spectroscopy was used to collect tissue sample data from patients with cervicitis, cervical precancerous low-grade lesions, cervical precancerous high-grade lesions, well differentiated squamous cell carcinoma, moderately differentiated squamous cell carcinoma, poorly differentiated squamous cell carcinoma and cervical adenocarcinoma. The collected data were preprocessed using an adaptive iterative reweighted penalized least squares (airPLS) algorithm and derivatives. Convolutional neural network (CNN) and residual neural network (ResNet) classification models were constructed to classify and identify seven types of tissue samples. The attention mechanism efficient channel attention network (ECANet) module and squeeze-and-excitation network (SENet) module were combined with the established CNN and ResNet network models, respectively, to make the models have better diagnostic performance. The results showed that efficient channel attention convolutional neural network (ECACNN) had the best discrimination, and the average accuracy, recall, F1 and AUC values after five cross-validations could reach 94.04%, 94.87%, 94.43% and 96.86%, respectively.

Barriers and facilitators to cervical cancer screening among under-screened women in Cuenca, Ecuador: the perspectives of women and health professionals

Background

Cervical cancer screening is a cost-effective method responsible for reducing cervical cancer-related mortality by 70% in countries that have achieved high coverage through nationwide screening strategies. However, there are disparities in access to screening. In Ecuador, although cervical cancer is the second most common cancer in women, only 58.4% of women of reproductive age have ever been screened for cervical cancer.

Methodology

A qualitative study was performed to understand the current barriers to screening and to identify strategies that could increase uptake in Azuay province, Ecuador. Seven focus group discussions (FGDs) were conducted with under-screened women and health professionals (HPs). The FGDs were recorded and transcribed. Content analysis was done using the socio-ecological framework to categorize and analyse the data.

Results

Overall, 28 women and 27 HPs participated in the study. The two groups perceived different barriers to cervical cancer screening. The HPs considered barriers to be mainly at the policy level (lack of a structured screening plan; lack of health promotion) and the individual level (lack of risk perception; personal beliefs). The women identified barriers mainly at organizational level, such as long waiting times, lack of access to health centres, and inadequate patient–physician communication. Both groups mentioned facilitators at policy level, such as national campaigns promoting cervical cancer screening, and at community and individual level, including health literacy and women’s empowerment.

Conclusions

The women considered access to health services the main barrier to screening, while the HPs identified a lack of investment in screening programmes and cultural patterns at the community level as major obstacles. To take an integrated approach to cervical cancer prevention, the perspectives of both groups should be taken into account. Additionally, new strategies and technologies, such as self-administered human papillomavirus (HPV) testing and community participation, should be implemented to increase access to cervical cancer screening.

Implementation research on noncommunicable disease prevention and control interventions in low- and middle-income countries: A systematic review

BACKGROUND

While the evidence for the clinical effectiveness of most noncommunicable disease (NCD) prevention and treatment interventions is well established, care delivery models and means of scaling these up in a variety of resource-constrained health systems are not. The objective of this review was to synthesize evidence on the current state of implementation research on priority NCD prevention and control interventions provided by health systems in low- and middle-income countries (LMICs).

METHODS AND FINDINGS

On January 20, 2021, we searched MEDLINE and EMBASE databases from 1990 through 2020 to identify implementation research studies that focused on the World Health Organization (WHO) priority NCD prevention and control interventions targeting cardiovascular disease, cancer, diabetes, and chronic respiratory disease and provided within health systems in LMICs. Any empirical and peer-reviewed studies that focused on these interventions and reported implementation outcomes were eligible for inclusion. Given the focus on this review and the heterogeneity in aims and methodologies of included studies, risk of bias assessment to understand how effect size may have been compromised by bias is not applicable. We instead commented on the distribution of research designs and discussed about stronger/weaker designs. We synthesized extracted data using descriptive statistics and following the review protocol registered in PROSPERO (CRD42021252969). Of 9,683 potential studies and 7,419 unique records screened for inclusion, 222 eligible studies evaluated 265 priority NCD prevention and control interventions implemented in 62 countries (6% in low-income countries and 90% in middle-income countries). The number of studies published has been increasing over time. Nearly 40% of all the studies were on cervical cancer. With regards to intervention type, screening accounted for 49%, treatment for 39%, while prevention for 12% (with 80% of the latter focusing on prevention of the NCD behavior risk factors). Feasibility (38%) was the most studied implementation outcome followed by adoption (23%); few studies addressed sustainability. The implementation strategies were not specified well enough. Most studies used quantitative methods (86%). The weakest study design, preexperimental, and the strongest study design, experimental, were respectively employed in 25% and 24% of included studies. Approximately 72% of studies reported funding, with international funding being the predominant source. The majority of studies were proof of concept or pilot (88%) and targeted the micro level of health system (79%). Less than 5% of studies report using implementation research framework.

CONCLUSIONS

Despite growth in implementation research on NCDs in LMICs, we found major gaps in the science. Future studies should prioritize implementation at scale, target higher levels health systems (meso and macro levels), and test sustainability of NCD programs. They should employ designs with stronger internal validity, be more conceptually driven, and use mixed methods to understand mechanisms. To maximize impact of the research under limited resources, adding implementation science outcomes to effectiveness research and regional collaborations are promising.

Improving intervention design to promote cervical cancer screening among hard-to-reach women: assessing beliefs and predicting individual attendance probabilities in Bogotá, Colombia

Background

Despite being a preventable disease, cervical cancer continues to be a public health concern, affecting mainly lower and middle-income countries. Therefore, in Bogotá a home-visit based program was instituted to increase screening uptake. However, around 40% of the visited women fail to attend their Pap smear test appointments. Using this program as a case study, this paper presents a methodology that combines machine learning methods, using routinely collected administrative data, with Champion’s Health Belief Model to assess women’s beliefs about cervical cancer screening. The aim is to improve the cost-effectiveness of behavioural interventions aiming to increase attendance for screening. The results presented here relate specifically to the case study, but the methodology is generic and can be applied in all low-income settings.

Methods

This is a cross-sectional study using two different datasets from the same population and a sequential modelling approach. To assess beliefs, we used a 37-item questionnaire to measure the constructs of the CHBM towards cervical cancer screening. Data were collected through a face-to-face survey (N = 1699). We examined instrument reliability using Cronbach’s coefficient and performed a principal component analysis to assess construct validity. Then, Kruskal–Wallis and Dunn tests were conducted to analyse differences on the HBM scores, among patients with different poverty levels. Next, we used data retrieved from administrative health records (N = 23,370) to fit a LASSO regression model to predict individual no-show probabilities. Finally, we used the results of the CHBM in the LASSO model to improve its accuracy.

Results

Nine components were identified accounting for 57.7% of the variability of our data. Lower income patients were found to have a lower Health motivation score (p-value < 0.001), a higher Severity score (p-value < 0.001) and a higher Barriers score (p-value < 0.001). Additionally, patients between 25 and 30 years old and with higher poverty levels are less likely to attend their appointments (O.R 0.93 (CI: 0.83–0.98) and 0.74 (CI: 0.66–0.85), respectively). We also found a relationship between the CHBM scores and the patient attendance probability. Average AUROC score for our prediction model is 0.9.

Conclusion

In the case of Bogotá, our results highlight the need to develop education campaigns to address misconceptions about the disease mortality and treatment (aiming at decreasing perceived severity), particularly among younger patients living in extreme poverty. Additionally, it is important to conduct an economic evaluation of screening options to strengthen the cervical cancer screening program (to reduce perceived barriers). More widely, our prediction approach has the potential to improve the cost-effectiveness of behavioural interventions to increase attendance for screening in developing countries where funding is limited.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12905-022-01800-3.

Dominican Provider Attitudes Towards HPV Testing for Cervical Cancer Screening and, Current Challenges to Cervical Cancer Prevention in the Dominican Republic: a Mixed Methods Study

Creating effective programs for cervical cancer prevention is essential to avoid premature deaths from cervical cancer. The Dominican Republic has persistently high rates of cervical cancer, despite the availability of Pap smear screening. This study explored Dominican provider attitudes towards human papillomavirus (HPV) testing and current challenges to effective cervical cancer prevention. In this Consolidated Framework for Implementation Research (CFIR)-driven mixed methods study, we conducted in-depth interviews (N = 21) and surveys (N = 202) with Dominican providers in Santo Domingo and Monte Plata provinces regarding their perspectives on barriers to cervical cancer prevention and their knowledge and attitudes towards HPV testing as an alternative to Pap smear. Providers believed the main barrier to cervical cancer prevention was lack of cervical cancer awareness and resulting inadequate population screening coverage. Providers felt that Pap smear was widely available to women in the Dominican Republic and were unsure how a change to HPV testing for screening would address gaps in current cervical cancer screening programs. A subset of providers felt HPV testing offered important advantages for early detection of cervical cancer and were in favor of more widespread use. Cost of the HPV test and target age for screening with HPV testing were the main barriers to acceptability. Providers had limited knowledge of HPV testing as a screening test. The group was divided in terms of the potential impact of a change in screening test in addressing barriers to cervical cancer prevention in the Dominican Republic. Findings may inform interventions to disseminate global evidence-based recommendations for cervical cancer screening.

Dominican Provider Practices for Cervical Cancer Screening in Santo Domingo and Monte Plata Provinces

Cervical cancer is the second leading cause of cancer death for women in the Dominican Republic. Pap smear screening in the Dominican Republic has not achieved adequate reduction in cervical cancer mortality. The purpose of this study was to examine Dominican provider practices for cervical cancer screening and the use of national or international screening guidelines. We surveyed 101 gynecology specialists, 50 non-specialists, and 51 obstetrics-gynecology residents in the Santo Domingo and Monte Plata provinces of the Dominican Republic regarding their cervical cancer screening practices and use of guidelines. Bivariate (chi-square) analyses were conducted to compare screening practices by demographic and practice characteristics. The majority of providers followed WHO guidelines (62.9%) and/or Dominican national norms (59.4%). The majority (87%) of providers use time since first sexual activity as the basis for screening initiation; 96% advise screening every 6-12 months. The most commonly used screening test is the conventional Pap smear. Colposcopy was recommended most often for all abnormal Pap results. Dominican providers report they follow national and/or international cervical cancer screening guidelines. They do not follow age-based screening guidelines, nor have they adopted an extended interval for screening and continue to recommend screening at least annually. A culture of early and frequent screening has consequences in terms of cost, high demand for follow-up services, and reduced capacity to reach the populations at highest risk. Early screening also may challenge the acceptability of adopting alternative screening technologies such as HPV testing.

"I Just Went for the Screening, But I Did Not Go for the Results". Utilization of Cervical Cancer Screening and Vaccination among Females at Oyibi Community

Background:

Cervical cancer screening and vaccination practices is reported to have low coverage in most developing countries. It has been reported that most women are aware of cervical cancer screening and vaccination worldwide. Nevertheless, the rate at which women participate in cervical cancer screening and vaccination was found to be low both locally and internationally. Consequently, in sub-Saharan Africa, cervical cancer screening programs have poor coverage. The aim of this study was to explore the practices of cervical cancer screening and vaccination among females at Oyibi community.

Methods:

The researchers employed a qualitative exploratory design to recruit 35 participants put into five Focus Group Discussions (FGDs). Five FGDs were formed with seven (7) members in each group. The members were purposely recruited. The sample size was based on data saturation. Data was retrieved using a semi-structured interview guide. The researchers served as moderators in the group.

Results:

Two (2) main themes with Eight (8) subthemes were generated from the data analysis. The themes were; (cervical cancer screening and vaccination practices), and (perceived benefits of cervical cancer screening and vaccination). The subthemes that emerged were as follows: types of cervical screening and vaccination done by participants, experiences during cervical cancer screening, experiences during cervical cancer vaccination, decision to go for cervical cancer screening and vaccination, willingness to recommend cervical cancer screening and vaccination to other women, early detection of cervical cancer through early screening, benefits of cervical cancer vaccination, and willingness to receive cervical cancer vaccine. The study also revealed that most of the women who had done the screening and vaccination were young (19-29 years).

Conclusion:

The results from the study indicated that the participants’ utilization of cervical cancer screening and vaccination were poor although they were conscious of the benefits of cervical cancer screening and vaccination and were willing to recommend it to their relatives and their loved ones.

Health care workers' experiences with implementation of "screen and treat" for cervical cancer prevention in Malawi: A qualitative study

BACKGROUND

Cervical cancer remains a major cause of mortality and morbidity in low- and middle-income countries, despite the availability of effective prevention approaches. "Screen and treat" (a single-visit strategy to identify and remove abnormal cervical cells) is the recommended secondary prevention approach in low-resource settings, but there has been relatively scarce robust implementation science evidence on barriers and facilitators to providing "screen and treat" from the provider perspective, or about thermocoagulation as a lesion removal technique.

METHODS

Informed by the Consolidated Framework for Implementation Research (CFIR), we conducted interviews with ten experienced "screen and treat" providers in Malawi. We asked questions based on the CFIR Guide, used the CFIR Guide codebook for a descriptive analysis in NVivo, and added recommended modifications for studies in low-income settings.

RESULTS

Seven CFIR constructs were identified as positively influencing implementation, and six as negatively influencing implementation. The two strong positive influences were the relative advantage of thermocoagulation versus cryotherapy (Innovation Characteristics) and respondents' knowledge and beliefs about providing "screen and treat" (Individual Characteristics). The two strong negative influences were the availability of ongoing refresher trainings to stay up-to-date on skills (Inner Setting, Implementation Climate) and insufficient resources (staffing, infrastructure, supplies) to provide "screen and treat" to all women who need it (Inner Setting, Readiness for Implementation). Weak positive factors included perceived scalability and access to knowledge/information, as well as compatibility, leadership engagement, and team characteristics, but these latter three were mixed in valence. Weak negative influences were structural characteristics and donor priorities; and mixed but weakly negative influences were relative priority and engaging clients. Cross-cutting themes included the importance of broad buy-in (including different cadres of health workers and leadership at the facility and in the government) and the opportunities and challenges of offering integrated care (screening plus other services).

CONCLUSIONS

Although "screen and treat" is viewed as effective and important, many implementation barriers remain. Our findings suggest that implementation strategies will need to be multi-level, include a diverse set of stakeholders, and explicitly address both screening and treatment.

Rapid identification of cervical adenocarcinoma and cervical squamous cell carcinoma tissue based on Raman spectroscopy combined with multiple machine learning algorithms

Cervical cancer has a long latency, and early screening greatly reduces mortality. In this study, cervical adenocarcinoma and cervical squamous cell carcinoma tissue data were collected by Raman spectroscopy, and then, the adaptive iteratively reweighted penalized least squares (airPLS) algorithm and Vancouver Raman algorithm (VRA) were used to subtract the background of the collected data. The following five feature extraction algorithms were applied: partial least squares (PLS), principal component analysis (PCA), kernel principal component analysis (KPCA), isometric feature mapping (isomap) and locally linear embedding (LLE). The k-nearest neighbour (KNN), extreme learning machine (ELM), decision tree (DT), backpropagation neural network (BP), genetic optimization backpropagation neural network (GA-BP) and linear discriminant analysis (LDA) classification models were then established through the features extracted by different feature extraction algorithms. In total, 30 types of classification models were established in this experiment. This research includes eight good models, airPLS-PLS-KNN, airPLS-PLS-ELM, airPLS-PLS-GA-BP, airPLS-PLS-BP, airPLS-PLS-LDA, airPLS-PCA-KNN, airPLS-PCA-LDA, and VRA-PLS-KNN, whose diagnostic accuracy was 96.3 %, 95.56 %, 95.06 %, 94.07 %, 92.59 %, 85.19 %, 85.19 % and 85.19 %, respectively. The experimental results showed that the model established in this article is simple to operate and highly accurate and has a good reference value for the rapid screening of cervical cancer.

Parent-Level Barriers and Facilitators to HPV Vaccine Implementation in Santo Domingo, Dominican Republic

Cervical cancer is the second leading cause of cancer death for women in the Dominican Republic. Vaccination against human papillomavirus (HPV) could reduce mortality from cervical cancer globally by as much as 90%. The purpose of our study was to explore multi-level barriers and facilitators to implementation of a national HPV vaccine program in the Dominican Republic; this article focuses on parent-level barriers and facilitators. In this qualitative study, we conducted six focus groups (N = 64) with parents of school-age children in the Santo Domingo area of the Dominican Republic, representing diverse socioeconomic groups and geographic settings. Thematic content analysis, using inductive and deductive approaches, was done following transcription and translation of audio-recordings from focus group discussions. Among this group of parents in the Santo Domingo area, facilitators to vaccine uptake were favorable attitudes towards vaccines in general and concern about cervical cancer as a health issue. Barriers found were low to moderate knowledge of HPV and cervical cancer, especially in the rural and suburban groups, and cost and lack of public awareness of the vaccine. This study identified key barriers and facilitators to HPV vaccine implementation in the Dominican Republic. Health messaging, incorporating specialist providers as opinion leaders, will need to be tailored to broad audiences with varying levels of information and awareness, anticipating misinformation and concerns, and will need to emphasize HPV vaccine as a method to prevent cancer.

Cervical cancer burden in Latin America and the Caribbean: Where are we?

In May 2018, the World Health Organization (WHO) called for the elimination of cervical cancer. To monitor this initiative, we examined cervical cancer incidence and mortality in the Latin America and Caribbean (LAC) region using GLOBOCAN 2018, Cancer Incidence in Five Continents Series, and the WHO Mortality Database. We estimated the number of cases and age-standardized rates (ASRs) for cervical cancer incidence and mortality for 2018. We also presented the ASRs for recorded cervical cancer incidence from the period 2008 to 2012. We calculated annual rates and analyzed trends in cervical cancer incidence and mortality for all ages combined and for the following age groups: 0-29, 30-49, 50-64 and 65+. Finally, we calculated the estimated average annual percentage change in incidence and mortality rates for the past 10 years. In 2018, an estimated 56,000 new cervical cancer cases and 28,000 cervical cancer deaths occurred among women in LAC with great variations between subregions and countries/territories. Overall, trends in cervical cancer incidence and mortality have decreased over the past decade; however, the rates are still above the elimination threshold of 4 per 100,000 in most LAC countries/territories. Despite the encouraging trends observed, achieving the elimination of cervical cancer in the region still requests substantial political commitment and economic effort. Population-based cancer registries are critical in monitoring the elimination initiative.