Human activities shape global patterns of decomposition rates in rivers.

Rivers and streams contribute to global carbon cycling by decomposing immense quantities of terrestrial plant matter. However, decomposition rates are highly variable and large-scale patterns and drivers of this process remain poorly understood. Using a cellulose-based assay to reflect the primary constituent of plant detritus, we generated a predictive model (81% variance explained) for cellulose decomposition rates across 514 globally distributed streams. A large number of variables were important for predicting decomposition, highlighting the complexity of this process at the global scale. Predicted cellulose decomposition rates, when combined with genus-level litter quality attributes, explain published leaf-litter-decomposition rates with impressive accuracy (70% variance explained). Our global map provides estimates of rates across vast understudied areas of Earth, and reveals rapid decomposition across continental-scale areas dominated by human activities.

Technological Aspects of Nanoemulsions for Post-harvest Preservation of Fruits and Vegetables.

Recent times have witnessed a growing demand for sustainable technology for food preservation that can retain its freshness, promises lower contents of additives and preservatives, safe consumption, eco-friendly milder processing technologies and eco-friendlier packaging solutions. Application of Biopolymers has served as the most sustainable and viable option to its synthetic counterparts. These biopolymers have been incorporated to develop biodegradable packaging like edible films and coatings owing to their biological origin. Nanoemulsion technology offers a leap forward to upgrade the features of conventional biodegradable packaging items. The present review discusses various trends and perspectives of nanoemulsion technology in post-harvest preservation for enhancing the shelf life of fresh fruits and vegetables. It investigates the interconnectedness between food preservation techniques, biodegradable packaging materials made from biopolymers, and nanoemulsions. It further addresses the preservation challenges post-harvest and underscores the limitations of conventional preservation methods, advocating for eco-friendly alternatives with a specific focus on the potential of nanoemulsions in enhancing food safety and quality. This review elaborates on the composition, formulation techniques, nanoemulsion products and role of nanoemulsions in the management of foodborne pathogens. Furthermore, it examines the potential health hazards linked to the use of nanoemulsions and stresses the significance of a regulatory framework for food safety. In conclusion, this review offers insights into the promising prospects of using nanoemulsions in food preservation.

Pre-onset subthreshold psychotic symptoms are associated with differential treatment delays before a first episode of psychosis: Initial evidence and implications.

BACKGROUND: Help-seeking and treatment delays are increasingly critical areas of study in mental health services. The duration of untreated psychosis (DUP), or the time between illness onset and initiation of treatment, is a predictor of symptom remission and functioning for a first episode of psychosis (FEP). The World Health Organization recommends that specialized treatment for psychosis be initiated within the first three months of FEP onset. As a result, research has focused on factors that are associated with threshold-level DUP, while the experience of subthreshold psychotic symptoms (STPS) prior to a FEP may also complicate and present barriers to accessing care for young people. We therefore examine the possibility that STPS can impact DUP and its components. METHOD: Using a follow-back cross-sectional design, we sought to describe duration of untreated illness, length of prodrome, DUP, help-seeking delay, referral delay, and number of help-seeking contacts among FEP patients who did and did not have STPS prior to psychosis onset. RESULTS: We found that patients who experienced STPS had a longer median duration of untreated illness, prodrome length, DUP, and help-seeking delay compared to patients who did not have such symptoms. Referral delay did not differ substantially between the two groups. Importantly, treatment delays were extremely lengthy for many participants. CONCLUSIONS: Pre-onset STPS are associated with help-seeking delays along the pathway to care even during a FEP. Examining early signs and symptoms may help to improve and tailor interventions aimed at reducing treatment delays and ultimately providing timely care when the need arises.

The emerging role of lipid nanosystems and nanomicelles in liver diseases.

Nanoparticles (NPs) exhibit remarkable potential in the diagnosis and treatment of various liver ailments, including primary liver cancer or hepatocellular carcinoma (HCC), liver cirrhosis, viral hepatitis, and alcoholic and non-alcoholic liver diseases. High surface area-to-volume ratio with distinct physicochemical and bio-pharmaceutical properties have contributed numerous benefits to NPs, such as high intracellular uptake and efficient drug delivery capabilities stemming from their ability to encapsulate a diverse range of drugs. Lipid-based nanosystems have demonstrated significant potential as reliable and efficient transport vehicles for a variety of actives, including small interfering RNA, targeting the liver, owing to their excellent in vivo compatibility, biodegradable nature, and non-toxic properties. Multiple aspects of various lipid-based materials, lipid nanosystems like solid lipid NPs, nanovesicles such as nanoemulsions, liposomes, and nanomicelles for liver-specific active targeting have been comprehensively reviewed. Ongoing and completed clinical trials of lipid nanosystems developed for HCC, hepatic fibrosis, and hepatitis are tabulated. Types of receptors and ligands typically used for active liver targeting in HCC are extensively discussed. The US FDA's recent approval for the use of Onpattro (Patisiran) injection to treat polyneuropathy in adult patients is indicative of the rapid development of lipid nanosystems employed for hepatic targeting. Nanoemulsions loaded with diagnostic imaging agents for multi-modal liver imaging were briefly discussed. Emerging technologies are being developed to integrate desirable properties of nanoparticles (NPs), including high stability, efficient drug loading, opsonization avoidance, active liver targeting, and facilitation of endosomal escape. Clinical translations of many lipid NPs for drug and gene therapy applications targeting different liver diseases are expected in the near future.

Caffeine addiction and determinants of caffeine consumption among health care providers: a descriptive national study.

OBJECTIVE: Caffeine is the most commonly used psychostimulant compound with a long history of worldwide consumption. Consuming low to moderate doses of caffeine is generally safe and quite beneficial; however, several clinical studies show that high doses could be toxic.  Additionally, caffeine users can become dependent on the drug and find themselves unable to reduce consumption despite impending and recurrent health problems associated with continued use. This study was conducted to explore the prevalence, determinants, and positive and negative effects of caffeine consumption among governmental health care providers (HCPs) who were caffeine users. It aims to determine the frequency of caffeine dependence and addiction in the Kingdom of Saudi Arabia (KSA) in January 2020. SUBJECTS AND METHODS: This cross-sectional study recruited 600 randomly selected HCPs from all regions of KSA, who fulfilled the selection criteria through a self-administrated, online-validated questionnaire composed of three main parts using the DSM-IV to diagnose dependence and probable addiction. RESULTS: The majority of the studied HCPs were females (67.8%), nonsmokers (82.0%), and Saudis (80.5%), with a mean age of 35 years. According to the DSM-IV, the prevalence of caffeine consumption was 94.3%. Caffeine dependence was reported in 270 (47.7%), while 345 (60.9%) were diagnosed as addicts. The most commonly consumed caffeine-containing substances were coffee and its variants/types (70%), tea (59%), and chocolate (52%), with each person spending about 220 SR per week on them. The main reported adverse effects, in descending order, were sleep disturbances, stomach problems, and cardiac symptoms. The most positive effects reported of caffeine consumption were feeling active, alert, confident, and happy. These findings were significantly affected by sex, occupation, and general health. CONCLUSIONS: Caffeine use, dependence, and addiction are common among government HCPs in KSA. Caffeine has both positive and negative effects on this population and further research is necessary to better understand the long-term consequences of caffeine consumption.

Metformin pretreatment potentiates the antiproliferative action of doxorubicin against breast cancer.

OBJECTIVES: The present study aimed to evaluate the effect of metformin pretreatment on the potentiation of antiproliferative action of doxorubicin against breast cancer. MATERIAL AND METHODS: Female Wistar rats were administered with 7,12-Dimethylbenz(a)anthracene (DMBA) (35mg) in 1mL olive oil subcutaneously beneath the mammary gland. Animals were pretreated with metformin (Met) 200mg/kg two weeks before DMBA administration. DMBA control groups received doxorubicin (Dox) (4mg/kg and 2mg/kg), Met (200mg/kg) alone and in combination with Dox (4mg/kg). Met pre-treated DMBA control groups received Dox 4mg/kg and 2mg/kg. RESULTS: Met pre-treated groups treated with Dox exhibited a decrease in tumor incidence, tumor volume and increased survival rate than the DMBA group. Organ-to-body weight ratios and histopathology of heart, liver and lungs of Met pre-treated groups treated with Dox showed lesser toxicity than Dox treated DMBA control groups. There was a noteworthy decrease in malondialdehyde levels and a substantial increase in the levels of reduced glutathione together with a significant decrease in the levels of inflammatory markers like IL-6, IL-1ß and NF-κB in Met pre-treated groups treated with Dox. Histopathology of breast tumors revealed better control of tumors in Met pre-treated groups treated with Dox than DMBA control group. Immunohistochemistry and real-time PCR data revealed a significant reduction in Ki67 expression in Met pre-treated groups treated with Dox as compared to the DMBA control group. CONCLUSION: The present study suggests that metformin pretreatment potentiates the antiproliferative action of doxorubicin against breast cancer.

Guiding Principles for Implementing Stepped Care in Mental Health: Alignment on the Bigger Picture.

Stepped care models are a mental healthcare delivery framework in which a continuum of support allows selection of a range of interventions to match a client's evolving needs and preferences. Currently in use in multiple settings worldwide, stepped care has the potential to provide a needed advance for the development of comprehensive mental health systems. However, definitions of stepped care lack consistency, resulting in differing interpretations reflected in variable implementation, ultimately limiting its replicability, utility and potential for impact. To help foster greater alignment in research and practice, we propose a set of principles for stepped care which can provide guidance on how to bridge multiple mental health services together, reduce fragmentation, and respond to the full breadth of mental health needs along a continuum of care in diverse settings. We hope that articulating these principles will foster discussion and spur mental health stakeholders to translate them into actionable standards.

Detection of SARS-CoV-2 IgG antibodies and inflammatory cytokines in saliva-a pilot study.

Objective: The pandemic caused by SARS-CoV-2 virus continues to have a profound effect worldwide. However, COVID-19 induced oral facial manifestations have not been fully described. We conducted a prospective study to demonstrate feasibility of anti-SARS-CoV-2 IgG and inflammatory cytokine detection in saliva. Our primary objective was to determine whether COVID-19 PCR positive patients with xerostomia or loss of taste had altered serum or saliva cytokine levels compared to COVID-19 PCR positive patients without those oral symptoms. Our secondary objective was to determine the correlation between serum and saliva COVID-19 antibody levels. Materials and methods: For cytokine analysis, saliva and serum were obtained from 17 participants with PCR-confirmed COVID-19 infection at three sequential time points, yielding 48 saliva samples and 19 paired saliva-serum samples from 14 of the 17 patients. For COVID-19 antibody analyses, an additional 27 paired saliva-serum samples from 22 patients were purchased. Results: The saliva antibody assay had 88.64% sensitivity [95% Confidence Interval (CI) 75.44%, 96.21%] to detect SARS-CoV-2 IgG antibodies compared to serum antibody. Among the inflammatory cytokines assessed - IL-6, TNF-α, IFN-γ, IL-10, IL-12p70, IL-1ß, IL-8, IL-13, IL-2, IL-5, IL-7 and IL-17A, xerostomia correlated with lower levels of saliva IL-2 and TNF-α, and elevated levels of serum IL-12p70 and IL-10 (p < 0.05). Loss of taste was observed in patients with elevated serum IL-8 (p < 0.05). Conclusions: Further studies are needed to construct a robust saliva-based COVID-19 assay to assess antibody and inflammatory cytokine response, which has potential utility as a non-invasive monitoring modality during COVID-19 convalescence.

The SPEAK study rationale and design: A linguistic corpus-based approach to understanding thought disorder.

AIM: Psychotic symptoms are typically measured using clinical ratings, but more objective and sensitive metrics are needed. Hence, we will assess thought disorder using the Research Domain Criteria (RDoC) heuristic for language production, and its recommended paradigm of "linguistic corpus-based analyses of language output". Positive thought disorder (e.g., tangentiality and derailment) can be assessed using word-embedding approaches that assess semantic coherence, whereas negative thought disorder (e.g., concreteness, poverty of speech) can be assessed using part-of-speech (POS) tagging to assess syntactic complexity. We aim to establish convergent validity of automated linguistic metrics with clinical ratings, assess normative demographic variance, determine cognitive and functional correlates, and replicate their predictive power for psychosis transition among at-risk youths. METHODS: This study will assess language production in 450 English-speaking individuals in Australia and Canada, who have recent onset psychosis, are at clinical high risk (CHR) for psychosis, or who are healthy volunteers, all well-characterized for cognition, function and symptoms. Speech will be elicited using open-ended interviews. Audio files will be transcribed and preprocessed for automated natural language processing (NLP) analyses of coherence and complexity. Data analyses include canonical correlation, multivariate linear regression with regularization, and machine-learning classification of group status and psychosis outcome. CONCLUSIONS: This prospective study aims to characterize language disturbance across stages of psychosis using computational approaches, including psychometric properties, normative variance and clinical correlates, important for biomarker development. SPEAK will create a large archive of language data available to other investigators, a rich resource for the field.

A design concept of big data analytics model for managers in hospitality industries.

The hospitality and tourism sector has long played a significant role in Australia's economy, especially in regional areas. Due to the onslaught of COVID-19, numerous businesses have experienced lockdowns, restrictions, and closures due to the fact that people's activity in restaurants, shopping centers, and recreational destinations was restricted, and many other places went into hibernation. After about 2 years since the outbreak, businesses in this sector are gradually starting to reopen and revitalize themselves, but in order to have better decision support about the future of this sector, thus being able to plan, businesses are suffering from an effective analytics solution due to the lack of broken data trends. Starting from fresh day-to-day real-time big data, the study aims to develop a new data analytics model, adopting the design science research methodology, which can provide invaluable options and techniques to make prediction easier from immediate past datasets. This study introduces an innovative design artifact as a big data solution for hospitality managers to utilize analytics for predictive strategic decision-making in post-COVID situation. The artifact can also be generalized for other sectors with tailoring aspects which are subject to further studies. The proposed artifact is then compared with other design artifacts related to big data solutions where it outperforms them in terms of comprehensiveness. The proposed artifact also shows promises for primarily available UGC in managers' decision support aids.

Diffusion MRI correlation with p16 status and prediction for tumor progression in locally advanced head and neck cancer.

Purpose: To investigate p16 effects on diffusion image metrics and associations with tumor progression in patients with locally advanced head and neck cancers. Methods: Diffusion images pretreatment and after 20 Gy (2wk) of RT were analyzed in patients with cT4/N3 p16+ oropharynx cancer (OPSCC) (N=51) and locoregionally advanced head and neck squamous cell carcinoma (LAHNSCC) (N=28), enrolled onto a prospective adaptive RT trial. Mean ADC values, subvolumes with ADC <1.2 um2/ms (TVLADC), and peak values of low (µL) and high (µH) components of ADC histograms in primary and total nodal gross tumor volumes were analyzed for prediction of freedom from local, distant, or any progression (FFLP, FFDP or FFLRDP) using multivariate Cox proportional-hazards model with clinical factors. P value with false discovery control <0.05 was considered as significant. Results: With a mean follow up of 36 months, 18 of LAHNSCC patients and 16 of p16+ OPSCC patients had progression. After adjusting for p16, small µL and ADC values, and large TVLADC of primary tumors pre-RT were significantly associated with superior FFLRDP, FFLP and FFDP in the LAHNSCC (p<0.05), but no diffusion metrics were significant in p16+ oropharynx cancers. Post ad hoc analysis of the p16+ OPSCC only showed that large TVLADC of the total nodal burden pre-RT was significantly associated with inferior FFDP (p=0.05). Conclusion: ADC metrics were associated with different progression patterns in the LAHNSCC and p16+ OPSCC, possibly explained by differences in cancer biology and morphology. A deep understanding of ADC metrics is warranted to establish imaging biomarkers for adaptive RT in HNSCC.

Extending artificial intelligence research in the clinical domain: a theoretical perspective.

Academic research to the utilization of artificial intelligence (AI) has been proliferated over the past few years. While AI and its subsets are continuously evolving in the fields of marketing, social media and finance, its application in the daily practice of clinical care is insufficiently explored. In this systematic review, we aim to landscape various application areas of clinical care in terms of the utilization of machine learning to improve patient care. Through designing a specific smart literature review approach, we give a new insight into existing literature identified with AI technologies in the clinical domain. Our review approach focuses on strategies, algorithms, applications, results, qualities, and implications using the Latent Dirichlet Allocation topic modeling. A total of 305 unique articles were reviewed, with 115 articles selected using Latent Dirichlet Allocation topic modeling, meeting our inclusion criteria. The primary result of this approach incorporates a proposition for future research direction, abilities, and influence of AI technologies and displays the areas of disease management in clinics. This research concludes with disease administrative ramifications, limitations, and directions for future research.

The Role of Oral Health in the Acquisition and Severity of SARS-CoV-2: A Retrospective Chart Review.

Objective: Studies have shown that gingival crevices may be a significant route for SARS-CoV-2 entry. However, the role of oral health in the acquisition and severity of COVID-19 is not known. Design: A retrospective analysis was performed using electronic health record data from a large urban academic medical center between 12/1/2019 and 8/24/2020. A total of 387 COVID-19 positive cases were identified and matched 1:1 by age, sex, and race to 387 controls without COVID-19 diagnoses. Demographics, number of missing teeth and alveolar crestal height were determined from radiographs and medical/dental charts. In a subgroup of 107 cases and controls, we also examined the rate of change in alveolar crestal height. A conditional logistic regression model was utilized to assess association between alveolar crestal height and missing teeth with COVID-19 status and with hospitalization status among COVID-19 cases. Results: Increased alveolar bone loss, OR = 4.302 (2.510 - 7.376), fewer missing teeth, OR = 0.897 (0.835-0.965) and lack of smoking history distinguished COVID-19 cases from controls. After adjusting for time between examinations, cases with COVID-19 had greater alveolar bone loss compared to controls (0.641 ± 0.613 mm vs 0.260 ± 0.631 mm, p < 0.01.) Among cases with COVID-19, increased number of missing teeth OR = 2.1871 (1.146- 4.174) was significantly associated with hospitalization. Conclusions: Alveolar bone loss and missing teeth are positively associated with the acquisition and severity of COVID-19 disease, respectively.

Family structure and substance use in 6,178 American Indian youth: a cross-sectional study.

OBJECTIVE: Adolescents from single-parent families are at significantly higher risk of substance use compared to those from mother-father families. More than half of American Indian (AI) children live in single-parent families, the second highest percentage among all groups. Given the paucity of research pertaining to the role of family structure and substance use in the AI population, we sought to examine this relationship. MATERIALS AND METHODS: Data from this study were obtained from the Substance Use Among American Indian Youth: Epidemiology and Etiology, [US], 2015-2020 study. Response variables of interest included age at first substance use, number of substances used, ever-use of substance, and substance use type (i.e., alcohol, cigarette, marijuana, etc.). RESULTS: Living in a father-only or mother-only setting showed a similar pattern of drug use. There was a significant increase in the risk of cigarette, alcohol and marijuana use. For cigarettes, the odds ratio was (OR = 2.60, 95% CI 1.80-3.75) in father-only setting compared to (OR = 1.42, 95% CI 1.13-1.78) for mother only setting. Alcohol use showed (OR = 1.72, 95% CI 1.19-2.50 and OR = 1.40, 95% CI 1.12-1.74) for father-only and mother-only respectively and marijuana use showed (OR = 1.59, 95% CI 1.10-2.30 and OR = 1.54, 95% CI -1.24-1.92) for father-only and mother-only respectively. CONCLUSIONS: Disturbed family structure is associated with increased risk of substance use among AI youth. This indicates the importance and need for policy and community level interventions to reduce youth substance exposure.

Prevalence of vitamin D deficiency among patients attending Post COVID-19 follow-up clinic: a cross-sectional study.

OBJECTIVE: Post-COVID-19 syndrome appears to be a multi-organ illness with a broad spectrum of manifestations, occurring after even mild acute illness. Limited data currently available has suggested that vitamin D deficiency may play a role in COVID-19 cases. However, to our knowledge, no study has examined the frequency of vitamin D deficiency in post-COVID-19 cases and its effect on the symptom severity. The aim of this study is to both screen the frequency of vitamin D deficiency in post-COVID-19 syndrome patients and to study its relation to persistent symptoms. PATIENTS AND METHODS: A cross-sectional, single-center study was conducted involving all cases attending post-COVID-19 follow-up clinic from November 2020 to May 2021. Complete history, clinical examination, and laboratory analysis [kidney functions, serum calcium, C-reactive protein, serum ferritin, Serum 25-(OH) vitamin D] was done as well as HRCT chest. RESULTS: The study included 219 post-COVID-19 cases, 84% had deficient vitamin D levels (< 20 ng/dL); 11.4% had insufficient level (20-30 ng/dL) and only 4.9 % reported normal level. There was no link between levels of vitamin D with either the acute or post-COVID-19 symptoms in the studied groups. CONCLUSIONS: Despite the prevalence of vitamin D deficiency among the study population, no association was observed between the levels of vitamin D and post-COVID-19 symptoms. It appears that post-COVID-19 syndrome pathophysiology involves a more complex interaction with the immune system. Dedicated clinical trials are advised to better study vitamin D levels and the related disease severity in COVID-19 patients.

A proposed "Radiological Evaluation Score for Bone Tumors" (REST): An objective system for assessment of a radiograph in patients with suspected bone tumor.

BACKGROUND: Although radiographs have been widely used in the evaluation of patients with suspected bone tumors, the lack of an objective radiological assessment method leads to a challenge in reaching correct diagnosis. The study aimed to propose a Radiological Evaluation Score for Bone Tumors (REST) which includes eight radiological factors [characteristics, content, cortical breach, distinctiveness, distribution, periosteal reaction, fracture, and soft tissue swelling] to form a single score along with its validation by multidisciplinary observers. METHODS: We reviewed the radiographs of 100 patients with a primary bone tumor which were selected at random from the database between January 2017 and January 2019 of a tertiary cancer center. Four reviewers (two orthopedic oncologists and two surgical oncologists) independently assessed the radiographs, based on the reporting system of REST. We constituted two groups according to the probable diagnosis of bone tumor (suspected benign tumor and suspected malignant tumor). RESULTS: The mean score in the suspected benign tumor group was 1.1 (range 0-3, 95% CI 0.8-1.3) and in malignant tumor group was 6.1 (range 2-8, 95% CI 5.8-6.4). A receiver operator characteristic (ROC) curve for REST was with a cutoff of 3.5, with the most diagnostic value area under curve (AUC) of 0.99. The sensitivity was 98% and specificity was 100% with a positive predictive value of 100% and a negative predictive value of 98%. The inter-observer correlation coefficient was 0.985 (p value < 0.05), and Fleiss kappa value for the prediction of the benign or malignant lesion was 0.97 (p value < 0.05). The characteristics and content of tumor, cortical erosion, distinctiveness, distribution, periosteal reaction, and soft tissue mass had a significant correlation with the aggressiveness of bone lesion p value < 0.05. CONCLUSIONS: The Radiological Evaluation Score for Bone Tumors (REST) is a structured reporting and objective method for the assessment of radiographs in patients with suspected bone tumors. This method is a reliable and helpful tool for clinicians in their outdoor patient department to differentiate a radiograph of a suspected benign tumor from a malignant bone tumor.

Assessment of attitude and hesitancy toward vaccine against COVID-19 in a Pakistani population: A mix methods survey.

Objective: The objective of this study was to assess the attitude and hesitancy toward vaccine against COVID-19 in a Pakistani Population. Materials and methods: A mix-method, prospective study was conducted and adults (aged ≥18 years) residing in Pakistan were invited to participate. The questionnaire was prepared, hosted in Google Forms and circulated through electronic platforms and was also available to be done in in-person. Data was compiled from 15th September to 30th November 2020. Results: The response rate was 80%. A total of 1003 participants were included in the final analysis. Of them, 75% completed survey questionnaire online, while remaining 25% responded in-person. The mean age of the participants was 29.62 ± 10.47 years. The majority of participants were females; 60.9% (n = 611). 57.02% (n = 572) of the participants were employed at the time of survey. Overall, 70.68% (n = 709) of the participants had previous experience of vaccines such as the flu vaccine Only 4.9% (n = 49) participants thought that they will be seriously ill from COVID-19 within six months and 39% (n = 392) participants were confident that they will get COVID-19. A total of 71.29% of the participants reported they would consider getting vaccinated once available. There was statistical association between gender and getting vaccinated (P < 0.001). Conclusion: This study demonstrated that majority of the participants showed positive attitude toward considering COVID-19 vaccine. However awareness with informed knowledge of efficacy, possible adverse effects and cost would be of added great value to increase the real response of Pakistani population toward COVID-19 vaccination.

Objetivo: El objetivo de este estudio fue evaluar la actitud y la renuencia hacia la vacuna frente a la COVID-19 en una población paquistaní. Materiales y métodos: Se realizó un estudio prospectivo de método mixto, invitándose a participar a personas adultas (edad ≥18 años) residentes en Paquistán. Se preparó el cuestionario, que se alojó en Google Forms y se hizo circular a través de plataformas electrónicas, pudiendo realizarse también de manera personal. Los datos se recopilaron desde el 15 de septiembre al 30 de noviembre de 2020. Resultados: La tasa de respuesta fue del 80%. El análisis final incluyó un total de 1.003 participantes, de los cuales el 75% completó el cuestionario-encuesta online, mientras que el 25% respondió en persona. La edad media de los participantes fue de 29,62 ± 10,47 años. La mayoría de los participantes eran mujeres: el 60,9% (n = 611). El 57,02% (n = 572) de los participantes tenía empleo en el momento de la encuesta. En general, el 70,68% (n = 709) de los participantes tenía experiencia previa sobre vacunas tales como la vacuna frente a la gripe. Solo el 4,9% (n = 49) de los participantes pensaba que padecerían la COVID-19 de forma grave en el plazo de seis meses, y el 39% (n = 392) de los participantes estaba seguro de que se contagiaría de dicha enfermedad. El 71,29% de los participantes reportó que consideraría recibir la vacuna una vez que se dispusiera de la misma. Existió una asociación estadística entre el sexo y el ser vacunado (P< 0,001). Conclusión: Este estudio demostró que la mayoría de los participantes mostró una actitud positiva hacia la consideración de la vacuna frente a la COVID-19. Sin embargo, la concienciación sobre el conocimiento informado de la vacuna, los posibles efectos adversos y el coste supondrían un gran valor añadido al incremento de la respuesta real de la población paquistaní hacia la vacuna frente a la COVID-19.