Diagnostic development must occur in parallel with drug development to ensure the longevity of new treatment compounds. Despite an increasing number of novel and repurposed anti-tuberculosis compounds and regimens, there remains a large number of drugs for which no rapid and accurate molecular diagnostic option exists. The lack of rapid drug susceptibility testing for linezolid, bedaquiline, clofazimine, the nitroimidazoles (i.e pretomanid and delamanid) and pyrazinamide at any level of the healthcare system compromises the effectiveness of current tuberculosis and drug-resistant tuberculosis treatment regimens. In the context of current WHO tuberculosis treatment guidelines as well as promising new regimens, we identify the key diagnostic gaps for initial and follow-on tests to diagnose emerging drug resistance and aid in regimen selection. Additionally, we comment on potential gene targets for inclusion in rapid molecular drug susceptibility assays and sequencing assays for novel and repurposed drug compounds currently prioritized in current regimens, and evaluate the feasibility of mutation detection given the design of existing technologies. Based on current knowledge, we also propose design priorities for next generation molecular assays to support triage of tuberculosis patients to appropriate and effective treatment regimens. We encourage assay developers to prioritize development of these key molecular assays and support the continued evolution, uptake, and utility of sequencing to build knowledge of tuberculosis resistance mechanisms and further inform rapid treatment decisions in order to curb resistance to critical drugs in current regimens and achieve End TB targets.Trial registration: ClinicalTrials.gov identifier: NCT05117788..

The coronavirus disease 2019 (COVID-19) which began in Wuhan in December 2019 has permeated all over the world in such a short time and was declared as a pandemic by World Health Organization (WHO). The pandemic that is erupting all of a sudden attracts the researchers to examine the spread and effects of the disease as well as the possible treatments and vaccine developments. In addition to the analytical models, such as compartmental modeling, Markov decision process, and so on, simulation and system dynamics (SD) are also widely applied in this field. In this study, we adopt the compartmental modeling stages to build an SD approach for the spread of the disease. A dynamic control measure decision support system (DSS) that varies depending on the number of daily cases is incorporated to the model. Furthermore, the economic loss in the gross domestic product (GDP) and workforce due to hospital stay and death caused by the COVID-19 are also investigated. The model is tested with various numerical parameters and the results are presented. The results on the spread of the disease and the associated economic loss provide meaningful insights into when control measures need to be imposed at which level. We also provide some policy insights, including some alternative policies, such as increasing awareness of people and vaccination in addition to control measures. The results reveal that the total number of cases and deaths is approximately 37% higher in the absence of dynamic DSS. However, everything comes at a price and applying such control measures brings about an increase in the economic loss about 47%.

The World Health Organization set a 2030 target of 70% cervical cancer screening coverage for women aged 35-45 years. Coverage stood at 37% in China in 2015.

Cutaneous angiosarcoma (CAS) is rare and most previous studies of CAS have been small case series, and randomized, phase II studies of CAS are limited. Since treatment options for CAS are controversial, and because only paclitaxel should be recommended based on high-level evidence, it is important to evaluate the efficacy of another taxane-derived agents, docetaxel, in real-world practice. The efficacy and safety profiles of chemoradiotherapy using taxane-based agents, docetaxel and paclitaxel, were retrospectively examined in the maintenance setting in 90 Japanese CAS patients, including 35 docetaxel-treated cases and 55 paclitaxel-treated cases. Overall survival and dose duration time of the patient group treated with docetaxel was equivalent to that with paclitaxel, even in the cohorts with metastasis. Adverse events due to docetaxel and paclitaxel were observed in 77.1% and 69.1% of cases, respectively. The incidence ratio of total severe adverse events tended to be higher in the docetaxel-treated group (40.0%) than in the paclitaxel-treated group (23.6%). Peripheral neuropathy occurred only in the paclitaxel-treated group, whereas high-grade interstitial pneumonia developed only in the docetaxel-treated group. In addition, we also evaluate 19 patients selected other taxanes, 17 patients selected eribulin methylate, 11 patients pazopanib, and 2 patients selected nivolumab as second-line chemotherapy. The efficacy of a monthly docetaxel regimen is equivalent to a three-weekly paclitaxel regimen evaluated by Overall survival and DDT, even in the cohorts with metastasis, and it is a tolerable protocol for CAS as a maintenance therapy in the Japanese population.

Mental well-being is associated with many mental health symptoms, including depression and health-related quality of life. Digital divide could impact mental health, particularly during the COVID-19 pandemic. Information and communication technology (ICT)-based tools and interventions could effectively provide social support. Intergenerational mentoring between college students and older adults could promote eHealth literacy and self-efficacy, and it is advocated to bridge the digital divide for older adults. However, the effectiveness of an intervention which employs ICT-based tools and intergenerational mentoring strategies (i.e. Digital Buddy) on mental well-being is unclear.

The COVID-19 Vaccines Global Access (COVAX) is a World Health Organization (WHO) initiative that aims for an equitable access of COVID-19 vaccines. Despite potential heterogeneous infection levels across a country, countries receiving allotments of vaccines may follow WHO's allocation guidelines and distribute vaccines based on a jurisdictions' relative population size. Utilizing economic-epidemiological modeling, we benchmark the performance of this pro rata allocation rule by comparing it to an optimal one that minimizes the economic damages and expenditures over time, including a penalty representing the social costs of deviating from the pro rata strategy. The pro rata rule performs better when the duration of naturally- and vaccine-acquired immunity is short, when there is population mixing, when the supply of vaccine is high, and when there is minimal heterogeneity in demographics. Despite behavioral and epidemiological uncertainty diminishing the performance of the optimal allocation, it generally outperforms the pro rata vaccine distribution rule.

The School of Public Health of Mexico (ESPM, in Spanish), was founded on March 23, 1922, several years after the creation of the first schools of public health in the United States of America (USA), such as Johns Hopkins in 1916 and those of Harvard, Yale, and Columbia, among others. The Escuela de Salubridad, as the ESPM was initially called, was the first of its kind in Latin America and the fifth in the world; thus, it was responsible for providing the first public health degrees in Mexico to medical health officers and other higher education diplomas in the fields of hygiene and public health. Several years after its own founding, in 1987, the ESPM co-founded the National Institute of Public Health (INSP, in Spanish) which to date continues to be the organization in which the ESPM is housed. Since the ESPM merged with the INSP, research and human resources training have been considered necessary processes for initiating and strengthening structural change in the field of health at the national and regional levels. As part of its centennial, the ESPM is committed to the continued expansion of its future perspective through the restructuring of its academic programs; this is a process in which the instilling of values, a unified curriculum based on public health, a flexible educational model and social commitment are fundamental. Key words: Public Health, Public Health School of Mexico, social equity and education.

Background: The effects of breastfeeding on neurodevelopmental outcomes are unclear. Inconsistent findings have been reported and confounding factors make interpretation of studies difficult. The World Health Organization published a systematic review on breastfeeding and intelligence in 2013, demonstrating a positive association with improved performance on intelligence tests. The objective of this review is to explore published literature since 2013 to examine the association between breastfeeding, cognition, executive function, and behavior. Methods: Duplicate searches were carried out using Web of Science and OVID for publications between January 2012 and March 2022. Non-English articles and those not correcting for maternal IQ or home environment were excluded. Results: Twenty-three studies were included, examining the effects of breastfeeding on cognition (21), executive function (3), and behavior (6). Most studies showed a modest dose-dependent increase in cognitive scores in children who were breastfed, test score differences ranging from 0.19 to 0.96 points per month of breastfeeding comparing any breastfeeding, predominant and exclusive breastfeeding. Four out of six studies showed a positive correlation between breastfeeding and behavior. One out of three studies assessing breastfeeding and executive function showed a positive dose-dependent correlation. Discussion: Recent evidence demonstrates that breastfeeding has a small positive effect on IQ in later childhood. Evidence suggesting that breastfeeding is a protective factor in developing conduct disorders and achieving higher executive function is limited. Further research is required. Limitations include potential confounders and recall bias of breastfeeding.

The purpose of this study was to determine the effectiveness of a culturally responsive interactive gaming mHealth educational application designed to improve diabetes health literacy among an underserved urban population in India when compared with a traditional approach of verbal education. In addition, relationships between participant sociodemographic variables and participant knowledge were assessed. A randomized controlled trial was conducted using a two-arm parallel, single-blinded intervention and control group design. The parallel groups were the mHealth Education group serving as the intervention group and the Verbal Education group serving as the control group. The mHealth application was as effective in improving diabetes health literacy as verbal education. Results for the difference in posttest and pretest score between the two groups indicated there was no statistically significant difference between groups (P = .9306). However, there was a significant improvement in the difference in posttest and pretest scores for each group (P < .0001), indicating that the culturally responsive type 2 diabetes educational content was effective in improving type 2 diabetes health literacy among both groups. This study answers a call by the World Health Organization that advocates for evidence-based mHealth interventions that offer unique opportunities for cost-effective informatics service delivery in low- and middle-income countries.