Avoiding basic mistakes when programming the use of artificial intelligence in soil and environmental science research.

In this discussion text (proposed as an opinionated exposition on a relevant scientific issue, with the aim of stimulating further discussion in a broader scientific forum) the author comments on mistakes that should be avoided when trying to use artificial intelligence (AI) in research, with special focus on soil science and environmental sciences. The author indicates aspects of research where it would not be reasonable (and/or correct) to use AI, while showing other aspects where an appropriate use of AI tools could be of real help for researchers in these fields and the whole society. The use of AI in investigation is a cutting-edge theme needing reflection and proposals to extract its best without causing an inappropriate deviation of resources, as well as a waste of time for people involved in direct research tasks or assessment, and without provoking undesirable side effects.

Automatic Recognition and Quantification Feeding Behaviors of Nursery Pigs Using Improved YOLOV5 and Feeding Functional Area Proposals.

A novel method is proposed based on the improved YOLOV5 and feeding functional area proposals to identify the feeding behaviors of nursery piglets in a complex light and different posture environment. The method consists of three steps: first, the corner coordinates of the feeding functional area were set up by using the shape characteristics of the trough proposals and the ratio of the corner point to the image width and height to separate the irregular feeding area; second, a transformer module model was introduced based on YOLOV5 for highly accurate head detection; and third, the feeding behavior was recognized and counted by calculating the proportion of the head in the located feeding area. The pig head dataset was constructed, including 5040 training sets with 54,670 piglet head boxes, and 1200 test sets, and 25,330 piglet head boxes. The improved model achieves a 5.8% increase in the mAP and a 4.7% increase in the F1 score compared with the YOLOV5s model. The model is also applied to analyze the feeding pattern of group-housed nursery pigs in 24 h continuous monitoring and finds that nursing pigs have different feeding rhythms for the day and night, with peak feeding periods at 7:00-9:00 and 15:00-17:00 and decreased feeding periods at 12:00-14:00 and 0:00-6:00. The model provides a solution for identifying and quantifying pig feeding behaviors and offers a data basis for adjusting the farm feeding scheme.

Public Debt in the Spanish Municipalities: Drivers and Policy Proposals.

The COVID-19 pandemic has exacerbated the local debt in Spanish municipalities with negative consequences on the macroeconomic financial stability at national and eurozone level. The main objective is to identify the causes of public debt per capita in four groups of Spanish municipalities according to size. It is based on a quantitative analysis based on correlational and causal-comparative approaches. It consists in the construction of panel quantile regressions (MMQ) and mean group (ME) estimators to explain public debt per capita in Spanish municipalities. Moreover, the Juodis test for causality analysis in panel data is applied. The research is constructed around various types of potential determinants related to economic factors (GDP per capita and unemployment rate), demographic factors (population under 15 and population over 65), and political factors (political party, ideology, and political strength). The results based on MMQR for the period 2011-2020 indicate common factors that reduce local debt (short-run economic growth), but also differences between clusters in what concerns factors that increase or decrease the debt. The Juodis et al. (2021) test shows that growth and unemployment are factors that influence the level of public debt in all groups of municipalities except one (5001-20,000 inhabitants) where political party affects debt. These empirical findings support policy proposals to reduce the local debt in Spanish municipalities. The main initiatives to reduce debt should be based on the promotion of economic growth and creation of new jobs, especially for young people.

Blinding Models for Scientific Peer-Review of Biomedical Research Proposals: A Systematic Review.

Objective: The aim of this systematic review is to estimate: (i) the overall effect of blinding models on bias; (ii) the effect of each blinding model; and (iii) the effect of un-blinding on reviewer's accountability in biomedical research proposals. Methods: Systematic review of prospective or retrospective comparative studies that evaluated two or more peer review blinding models for biomedical research proposals/funding applications and reported outcomes related to peer review efficiency. Results: Three studies that met the inclusion criteria were included in this review and assessed using the QualSyst tool by two authors. Conclusion: Our systematic review is the first to assess peer review blinding models in the context of funding. While only three studies were included, this highlighted the dire need for further RCTs that generate validated evidence. We also discussed multiple aspects of peer review, such as peer review in manuscripts vs proposals and peer review in other fields.

Neuroeducation and Mathematics: The Formation of New Educational Practices.

Recent research in educational neuroscience has established the correlation between the way the human brain works and the process of perceiving and learning mathematical concepts. In this chapter, a research approach is proposed, based on the principles of educational neuroscience, and focuses on the way students deal with new knowledge in mathematics. Initially, using neuroscientific techniques and a multidimensional approach to new knowledge, data will be collected from students. By collecting neurophysiological measurements and analyzing the data, an attempt will be made to formulate learning paths for a better understanding of fractional concepts, based on the needs of each student.

Adopting recommendations for implementing patient involvement in cancer research: a funder's approach.

BACKGROUND: The role of patients in cancer research is undergoing a significant evolution as all stakeholders seek to enhance the level of direct patient involvement in the design and development of clinical trials. However, there are significant hurdles that patients, patient advocates, laboratory researchers, clinical investigators, and funding institutions must overcome to implement relevant patient involvement in all aspects of biomedical research. By using innovative grant funding models, philanthropic organizations can lead the field in overcoming these challenges. Rising Tide Foundation for Clinical Cancer Research (RTFCCR), a private philanthropy that funds academic research, has developed a novel approach for requiring and supporting partnerships among grantees and patients in designing and conducting research projects. This paper presents a reflective case study of efforts to advance the field of patient involvement in clinical research. METHODS: The decision to focus on patient involvement stems from an expressed focus area established by the RTFCCR board of directors. In conducting this work, RTFCCR partnered with Patvocates, a patient advocacy and engagement network, to create a set of guiding documents and resources aimed at public and private health research funders within various national, international, and therapeutic settings. This effort included a landscape assessment, interviews with experts, and an iterative development process. RESULTS: To date, RTFCCR has completed and disseminated three guiding documents, one for funders, one for grant applicants, and one for patient advocates. These resources have already generated three major ongoing initiatives at RTFCCR: (1) inclusion of these recommendations in the foundation's funding guidelines; patient input to prioritization of research focus areas; and in topic selection for calls for proposals; (2) direct involvement of patient experts in the grant review process; and (3) a commitment to support high impact clinical research projects in Low- and Middle-Income Countries. Moreover, the foundation has launched a partnership with the International Cancer Research Partnership, the global alliance of cancer research organizations. CONCLUSION: By using its grantmaking function and developing standardized approaches for implementation of patient involvement, RTFCCR is seeking to advance patient-centric cancer clinical research. This approach will continue to develop as it is implemented and shared with partners throughout the world.

The Rising Tide Foundation for Clinical Cancer Research (RTFCCR), a private philanthropy that funds academic research, has developed a novel approach for requiring and supporting partnerships among grantees (scientists) and patients in designing and conducting research projects.The decision to focus on patient involvement stems from an expressed focus area established by the RTFCCR board of directors. In conducting this work, RTFCCR partnered with Patvocates, a patient advocacy and engagement network. Patvocates conducted a landscape assessment, interviews with experts, and their collective experience as patient advocates. This work generated a set of guiding documents and resources. These resources are to help public and private health research funders to better understand current challenges and support scientists and patients through their funding mechanisms. Three guiding documents, one for funders, one for grant applicants, and one for patient advocates are now available for download at the RTFCCR website: https://www.risingtide-foundation.org/clinical-cancer-research/patient-engagement#start Delivering a paradigm change involves not only the introduction of additional requirements and rules, but also enhanced education of patients and investigators. By using its grantmaking function and developing standardized approaches for implementation of patient involvement, RTFCCR is seeking to advance patient-centric cancer clinical research.Development and implementation of consistent policies and procedures for the integration of the patients' view in the design and review of research proposals is needed for funders as well as for research institutes, both public and private.

The physician shortage in Israel and a policy proposal for improvement.

BACKGROUND: There is a decrease in the supply of physicians in Israel resulting from the declining flow of immigrant physicians from the former Soviet Union, a large proportion of whom have reached retirement age in recent years. This problem could become worse because the number of medical students in Israel cannot increase quickly, especially because the number of clinical training sites is inadequate. The quick population growth and anticipated ageing will exacerbate the shortage. The aim of our study was to accurately assess the current situation and factors that affect it, and to propose systematic steps to improve the physician shortage. MAIN BODY: The number of physicians per capita is lower in Israel than in the OECD at 3.1 vs. 3.5 per 1000 population, respectively. About 10% of licensed physicians live outside of Israel. There is a sharp increase in the number of Israelis returning from medical school abroad, but some of those schools are of low academic standard. The main step is a gradual increase in the number of medical students in Israel with a transition of clinical practice to the community, and hospital clinical hours in the evening and in the summer. Students with high psychometric scores who were not admitted to an Israeli medical school would get support to study in quality medical schools abroad. Additional steps include encouraging physicians from abroad to come to Israel, especially in specializations in distress, recruitment of retired physicians, transferring functions to other medical professions, economic incentives for departments and teachers, and incentives to prevent physicians from quitting or migrating to other countries. It is also important to close the gap between the number of physicians working in central Israel and the periphery through grants, employment opportunities for physicians' spouses, and preferential selection of students from the periphery for medical school. CONCLUSIONS: Manpower planning requires a broad, dynamic perspective and collaboration among governmental and non-governmental organizations.

Enhancing review criteria for dissemination and implementation science grants.

BACKGROUND: The existing grant review criteria do not consider unique methods and priorities of Dissemination and Implementation Science (DIS). The ImplemeNtation and Improvement Science Proposals Evaluation CriTeria (INSPECT) scoring system includes 10 criteria based on Proctor et al.'s "ten key ingredients" and was developed to support the assessment of DIS research proposals. We describe how we adapted INSPECT and used it in combination with the NIH scoring system to evaluate pilot DIS study proposals through our DIS Center. METHODS: We adapted INSPECT to broaden considerations for diverse DIS settings and concepts (e.g., explicitly including dissemination and implementation methods). Five PhD-level researchers with intermediate to advanced DIS knowledge were trained to conduct reviews of seven grant applications using both the INSPECT and NIH criteria. The INSPECT overall scores range from 0 to 30 (higher scores are better), and the NIH overall scores range from 1 to 9 (lower scores are better). Each grant was independently reviewed by two reviewers, then discussed in a group meeting to compare the experiences using both criteria to evaluate the proposal and to finalize scoring decisions. A follow-up survey was sent to grant reviewers to solicit further reflections on each scoring criterion. RESULTS: Averaged across reviewers, the INSPECT overall scores ranged from 13 to 24, while the NIH overall scores ranged from 2 to 5. Reviewer reflections highlighted the unique value and utility for each scoring criterion. The NIH criteria had a broad scientific purview and were better suited to evaluate more effectiveness-focused and pre-implementation proposals not testing implementation strategies. The INSPECT criteria were easier to rate in terms of the quality of integrating DIS considerations into the proposal and to assess the potential for generalizability, real-world feasibility, and impact. Overall, reviewers noted that INSPECT was a helpful tool to guide DIS research proposal writing. CONCLUSIONS: We confirmed complementarity in using both scoring criteria in our pilot study grant proposal review and highlighted the utility of INSPECT as a potential DIS resource for training and capacity building. Possible refinements to INSPECT include more explicit reviewer guidance on assessing pre-implementation proposals, providing reviewers with the opportunity to submit written commentary with each numerical rating, and greater clarity on rating criteria with overlapping descriptions.

People with aphasia and their family members proposing joint future activities in everyday conversations: A conversation analytic study.

BACKGROUND: In everyday conversations, a person with aphasia (PWA) compensates for their language impairment by relying on multimodal and material resources, as well as on their conversation partners. However, some social actions people perform in authentic interaction, proposing a joint future activity, for example, ordinarily rely on a speaker producing a multi-word utterance. Thus, the language impairment connected to aphasia may impede the production of such proposals, consequently hindering the participation of PWAs in the planning of future activities. AIMS: To investigate (1) how people with post-stroke chronic aphasia construct proposals of joint future activities in everyday conversations compared with their familiar conversation partners (FCPs); and (2) how aphasia severity impacts on such proposals and their uptake. METHODS & PROCEDURES: Ten hours of video-recorded everyday conversations from seven persons with mild and severe aphasia of varying subtypes and their FCPs were explored using conversation analysis. We identified 59 instances where either party proposed a joint future activity and grouped such proposals according to their linguistic format and sequential position. Data are in Finnish. OUTCOMES & RESULTS: People with mild aphasia made about the same number of proposals as their FCPs and used similar linguistic formats to their FCPs when proposing joint future activities. This included comparable patterns associated with producing a time reference, which was routinely used when a proposal initiated a planning activity. Mild aphasia manifested itself as within-turn word searches that were typically self-repaired. In contrast, people with severe aphasia made considerably fewer proposals compared with their FCPs, the proposal formats being linguistically unidentifiable. This resulted in delayed acknowledgement of the PWAs' talk as a proposal. CONCLUSIONS & IMPLICATIONS: Mild aphasia appears not to impede PWAs' ability to participate in the planning of joint future activities, whereas severe aphasia is a potential limitation. To address this possible participatory barrier, we discuss clinical implications for both therapist-led aphasia treatment and conversation partner training. WHAT THIS PAPER ADDS: What is already known on the subject PWAs use multimodal resources to compensate for their language impairment in everyday conversations. However, certain social actions, such as proposing a joint future activity, cannot ordinarily be accomplished without language. What this paper adds to existing knowledge The study demonstrates that proposing joint future activities is a common social action in everyday conversations between PWAs and their family members. People with mild aphasia used typical linguistic proposal formats, and aphasic word-finding problems did not prevent FCPs from understanding the talk as a proposal. People with severe aphasia constructed proposals infrequently using their remaining linguistic resources, a newspaper connecting the talk to the future and the support from FCPs. What are the potential or actual clinical implications of this work? We suggest designing aphasia treatment with reference to the social action of proposing a joint future activity. Therapist-led treatment could model typical linguistic proposal formats, whereas communication partner training could incorporate FCP strategies that scaffold PWAs' opportunities to construct proposals of joint future activities. This would enhance aphasia treatment's ecological validity, promote its generalization and ultimately enable PWAs to participate in everyday planning activities.

Phylogenomics studies and molecular markers reliably demarcate genus Pseudomonas sensu stricto and twelve other Pseudomonadaceae species clades representing novel and emended genera.

Genus Pseudomonas is a large assemblage of diverse microorganisms, not sharing a common evolutionary history. To clarify their evolutionary relationships and classification, we have conducted comprehensive phylogenomic and comparative analyses on 388 Pseudomonadaceae genomes. In phylogenomic trees, Pseudomonas species formed 12 main clusters, apart from the "Aeruginosa clade" containing its type species, P. aeruginosa. In parallel, our detailed analyses on protein sequences from Pseudomonadaceae genomes have identified 98 novel conserved signature indels (CSIs), which are uniquely shared by the species from different observed clades/groups. Six CSIs, which are exclusively shared by species from the "Aeruginosa clade," provide reliable demarcation of this clade corresponding to the genus Pseudomonas sensu stricto in molecular terms. The remaining 92 identified CSIs are specific for nine other Pseudomonas species clades and the genera Azomonas and Azotobacter which branch in between them. The identified CSIs provide strong independent evidence of the genetic cohesiveness of these species clades and offer reliable means for their demarcation/circumscription. Based on the robust phylogenetic and molecular evidence presented here supporting the distinctness of the observed Pseudomonas species clades, we are proposing the transfer of species from the following clades into the indicated novel genera: Alcaligenes clade - Aquipseudomonas gen. nov.; Fluvialis clade - Caenipseudomonas gen. nov.; Linyingensis clade - Geopseudomonas gen. nov.; Oleovorans clade - Ectopseudomonas gen. nov.; Resinovorans clade - Metapseudomonas gen. nov.; Straminea clade - Phytopseudomonas gen. nov.; and Thermotolerans clade - Zestomonas gen. nov. In addition, descriptions of the genera Azomonas, Azotobacter, Chryseomonas, Serpens, and Stutzerimonas are emended to include information for the CSIs specific for them. The results presented here should aid in the development of a more reliable classification scheme for Pseudomonas species.

Ghostformer: A GhostNet-Based Two-Stage Transformer for Small Object Detection.

In this paper, we propose a novel two-stage transformer with GhostNet, which improves the performance of the small object detection task. Specifically, based on the original Deformable Transformers for End-to-End Object Detection (deformable DETR), we chose GhostNet as the backbone to extract features, since it is better suited for an efficient feature extraction. Furthermore, at the target detection stage, we selected the 300 best bounding box results as regional proposals, which were subsequently set as primary object queries of the decoder layer. Finally, in the decoder layer, we optimized and modified the queries to increase the target accuracy. In order to validate the performance of the proposed model, we adopted a widely used COCO 2017 dataset. Extensive experiments demonstrated that the proposed scheme yielded a higher average precision (AP) score in detecting small objects than the existing deformable DETR model.

Estimation of age-stratified contact rates during the COVID-19 pandemic using a novel inference algorithm.

Well parameterized epidemiological models including accurate representation of contacts are fundamental to controlling epidemics. However, age-stratified contacts are typically estimated from pre-pandemic/peace-time surveys, even though interventions and public response likely alter contacts. Here, we fit age-stratified models, including re-estimation of relative contact rates between age classes, to public data describing the 2020-2021 COVID-19 outbreak in England. This data includes age-stratified population size, cases, deaths, hospital admissions and results from the Coronavirus Infection Survey (almost 9000 observations in all). Fitting stochastic compartmental models to such detailed data is extremely challenging, especially considering the large number of model parameters being estimated (over 150). An efficient new inference algorithm ABC-MBP combining existing approximate Bayesian computation (ABC) methodology with model-based proposals (MBPs) is applied. Modified contact rates are inferred alongside time-varying reproduction numbers that quantify changes in overall transmission due to pandemic response, and age-stratified proportions of asymptomatic cases, hospitalization rates and deaths. These inferences are robust to a range of assumptions including the values of parameters that cannot be estimated from available data. ABC-MBP is shown to enable reliable joint analysis of complex epidemiological data yielding consistent parametrization of dynamic transmission models that can inform data-driven public health policy and interventions. This article is part of the theme issue 'Technical challenges of modelling real-life epidemics and examples of overcoming these'.

Diving in: Using a "Shark Tank" approach to teach business skills to future DNP leaders.

Doctor of Nursing Practice (DNP) education prepares graduates to lead clinical improvement and innovation across practice settings. Advanced clinical knowledge, leadership skills, and the development of quality/safety competencies uniquely prepare the DNP program graduates to drive organizational change. Adding business and financial competencies to the skill set of DNP graduates strengthens the impact and value of their role on financial, quality, and operational outcomes. The Organizational Systems and Healthcare Financing course in a DNP program was redesigned to engage learners using an innovative approach to teach business and financial principles. This paper aims to (a) describe a novel "Shark Tank" approach whereby students develop and "pitch" their business proposals to a panel of healthcare executives; (b) share examples of impactful change projects by student teams; (c) report DNP course and program evaluations including students' satisfaction and perceptions of value and knowledge gained in business principles; and (d) report opportunities for bidirectional mentorship, faculty recruitment, and succession planning. The success of this innovative team-based approach for teaching business/financial skills better prepares future DNP leaders and has implications for other DNP programs. Using this teaching strategy created opportunities for faculty recruitment, succession planning, and bidirectional mentorship of DNP-prepared nurse leaders.

Evaluation for hierarchical diagnosis and treatment policy proposals in China: A novel multi-attribute group decision-making method with multi-parametric distance measures.

The policy 'hierarchical medical treatment system' promulgated by the State Council of China is an effective way to solve the problem of insufficient and unbalanced medical resources. In response, governments in different provinces explore a variety of different strategies to promote this policy, producing different results. To better strengthen the policy development, it is worthy to help policy-makers make decisions to elect the best one from different proposals. Thus, the aim of this paper is to develop a multi-attribute group decision-making (MAGDM) framework to better assist government select the optimal proposal. This study proposes a MAGDM method based on a family of q-rung orthopair fuzzy interaction power point Hamy mean operators to solve the above problem. To this end, new multi-parametric distance measures based on point operators in the framework of q-rung orthopair fuzzy set are proposed. With the help of the point distance measures, new power point operators average operator is also proposed. The results show that the proposed MAGDM method in this paper outperforms some existing methods and provides promising results for policy-makers seeking to identify the optimal hierarchical diagnosis and treatment policy (HDTP) proposal. Specifically, the results also revealed the best proposal for developing the HDTP proposals is Xiamen mode.

An intelligent railway surveillance framework based on recognition of object and railway track using deep learning.

In high speed railways, the intelligent railway safety system is necessary to avoid the accidents due to collision between trains and obstacles on the railway track. The unceasing research work is being performed to reinforce the railway safety and to diminish the accident rates. The rapid development in the field of deep learning has prompted new research opportunities in this area. In this paper, a novel and efficient approach is proposed to recognize the objects (obstacles) on the railway track ahead the train using deep classifier network. The 2-D Singular Spectrum Analysis (SSA) is utilized as decomposition tool that decomposes the image in useful components. That component is further applied to the deep classifier network. The obstacle recognition performance is enhanced by the combination of 2D-SSA and deep network. This method also presents a novel measure to identify the railway tracks. In addition, the performance of this approach is analyzed under different illumination conditions using OSU thermal pedestrian benchmark database. This system can be a tremendous support to curtail rail accidental rate and monetary loads. The results of proposed approach present good accuracy as well as can effectively recognize the objects (obstacles) on the railway track which helps to the railway safety. It also achieves a better performance with 85.2% accuracy, 84.5% precision and 88.6% recall.

New Proposals for Application of Terahertz Imaging Technique in Chinese Medicine.

The rapid development of terahertz technology promotes the realization of various terahertz imaging systems. Terahertz technology features terahertz waves as good non-invasive illumination sources due to their high spectral resolution, penetration and safety. The terahertz imaging technique (TIT) has gradually been extended from the biomedical field to the field of Chinese medicine (CM), and it has become a powerful tool for seeking scientific evidence for CM theories with the use of modern science and technology. This paper reviews the current application of TITs in the field of CM research, and most importantly offers novel proposals for the application of TITs in CM research from the perspective of CM syndrome objectification and acupuncture research and cites existing reports as reference to the feasibility of these new proposals.

Wound care research sponsored by the Department of Defense.

Due to the need for more information about Department of Defense sponsored wound healing research, the Wound Healing Foundation initiated the writing of this article. It briefly describes the Vision, Mission and Goals of the Department of Defense Strategic Medical Research Plan. It also describes the current objectives of Department of Defense research funding and where to access this information in detail. The grant cycle, the timing of request for proposals and some of the specifics of their requirements are also mentioned. A brief discussion of budgeting and overhead is also included.

Sequence organization of autistic children's play with caregivers: Rethinking follow-in directives.

LAY ABSTRACT: In this article we use a qualitative method, conversation analysis, to examine videos of caregivers interacting with their young autistic children who are in the early phases of language learning. Conversation analysis involves preparation of detailed transcripts of video data, which are then analyzed together to understand how interactional moves (e.g. talk, gestures, and physical conduct) are linked with prior and subsequent interactional moves. We analyzed data from 15 participants, and focused on instances when caregivers made a proposal about something the child was playing with. In previous research, similar instances have been referred to as "follow-in directives." We found that these proposals were embedded in sequences that had a similar structure, and were prefaced with a 'pre-proposal'; where the caregiver established the child's interest in a joint activity and signaled the upcoming proposal. The caregiver's talk was also provided in such a way that there was a clear "slot" for the child's turn, which made it easy for the child's actions to become part of an interactional sequence. In addition, proposal sequences were very negotiable-the caregivers do not usually insist that the child follow through on the proposal, only that they produce an action that could be taken as a response. Finally, there were some instances where the child's turn was very precisely timed to occur right at the end of a caregiver's proposal; this precise timing could signal the child's understanding of how interactional turn-taking works. We suggest that this method of examining caregiver-child interactions provides new insights into how interactions proceed, which could be useful for future intervention research.

New Proposals for Application of Terahertz Imaging Technique in Chinese Medicine / 中国结合医学杂志

The rapid development of terahertz technology promotes the realization of various terahertz imaging systems. Terahertz technology features terahertz waves as good non-invasive illumination sources due to their high spectral resolution, penetration and safety. The terahertz imaging technique (TIT) has gradually been extended from the biomedical field to the field of Chinese medicine (CM), and it has become a powerful tool for seeking scientific evidence for CM theories with the use of modern science and technology. This paper reviews the current application of TITs in the field of CM research, and most importantly offers novel proposals for the application of TITs in CM research from the perspective of CM syndrome objectification and acupuncture research and cites existing reports as reference to the feasibility of these new proposals.

A critical assessment of the potential vertical transmission hypotheses: Implications for research on the early-life infection with COVID-19.

The risk of potential vertical transmission in SARS-CoV-2 infected pregnant women is currently a topic of debate. To explore the correlation between the two, we searched PubMed, Embase®, and Web of Science for studies on vertical transmission of COVID-19. The quality of the studies was evaluated by the Cochrane risk of bias tool. Detailed information of each included case including methods of delivery, protection measures for mothers and neonates at birth, types of specimens, inspection time, results of testing and feeding patterns was collected to assess the possibility of vertical transmission. The results showed that of the 390 neonates reported in 36 studies, 23 were infected with SARS-CoV-2 by potential vertical transmission. From the perspective of virology and pathology, vertical transmission of SARS-CoV-2 was possible via uterus or breastmilk. Some reported potential vertically transmitted neonates could be attributed to horizontal transmission. It is extremely vital to fully elucidate the potential routes of transmission of SARS-CoV-2, implicating clinical practice and nursing to reduce the risk of not only horizontal transmission but also vertical transmission, thus protecting neonates from COVID-19 infection.