The frequent occurrence of food safety incidents has aroused public concern about food safety and key contaminants. Foodborne pathogen contamination, pesticide residues, heavy metal residues, and other food safety problems will significantly impact human health. Therefore, developing efficient and sensitive detection method to ensure food safety early warning is paramount. The aptamer-based sensor (aptasensor) is a novel analytical tool with strong targeting, high sensitivity, low cost, etc. It has been extensively utilized in the pharmaceutical industry, biomedicine, environmental engineering, food safety detection, and in other diverse fields. This work reviewed the latest research progress of aptasensors for food analysis and detection, mainly introducing their application in detecting various key food contaminants. Subsequently, the sensing mechanism and performance of aptasensors are discussed. Finally, the review will examine the challenges and opportunities related to aptasensors for detecting major contaminants in food, and advance implementation of aptasensors in food safety and detection.

In recent years, frequent occurrences of algal blooms due to environmental changes have posed significant threats to the environment and human health. This paper analyzes the reasons of algal bloom from the perspective of environmental factors such as nutrients, temperature, light, hydrodynamics factors and others. Various commonly used algal bloom monitoring methods are discussed, including traditional field monitoring methods, remote sensing techniques, molecular biology-based monitoring techniques, and sensor-based real-time monitoring techniques. The advantages and limitations of each method are summarized. Existing algal bloom prediction models, including traditional models and machine learning (ML) models, are introduced. Support Vector Machine (SVM), deep learning (DL), and other ML models are discussed in detail, along with their strengths and weaknesses. Finally, this paper provides an outlook on the future development of algal bloom warning techniques, proposing to combine various monitoring methods and prediction models to establish a multi-level and multi-perspective algal bloom monitoring system, further improving the accuracy and timeliness of early warning, and providing more effective safeguards for environmental protection and human health.

The novel coronavirus SARS-CoV-2 has spread at an unprecedented rate since late 2019, leading to the global COVID-19 pandemic. During the pandemic, being able to detect SARS-CoV-2 in human populations with high coverage quickly is a huge challenge. As SARS-CoV-2 is excreted in human excreta and thus exposed to the aqueous environment through sewers, the goal is to develop an ideal, non-invasive, cost-effective epidemiological method for detecting SARS-CoV-2. Wastewater surveillance has gained widespread interest and is increasingly being investigated as an effective early warning tool for monitoring the spread and evolution of the virus. This review emphasizes important findings on SARS-CoV-2 wastewater-based epidemiology (WBE) in different continents and techniques used to detect SARS-CoV-2 in wastewater during the period 2020-2022. The results show that WBE is a valuable population-level method for monitoring SARS-CoV-2 and is a valuable early warning alert. It can assist policymakers in formulating relevant policies to avoid the negative impacts of early or delayed action. Such strategy can also help avoid unnecessary wastage of medical resources, rationalize vaccine distribution, assist early detection, and contain large-scale outbreaks.

BACKGROUND: Despite international standards for recognition and response to deterioration, warning signs are not always identified by staff on acute hospital wards. Patient and family-initiated escalation of care schemes have shown some benefit in assisting early recognition, but are not widely used in many clinical practice areas.
OBJECTIVE: To explore (a) patients\' and relatives\' experiences of acute deterioration and (b) patients\', relatives\' and healthcare professionals\' perceptions of the barriers or facilitators to patient and family-initiated escalation of care in acute adult hospital wards.
METHODS: We conducted a qualitative review using Cochrane methodology. Two reviewers independently screened studies, extracted data, and appraised the quality using a qualitative critical appraisal tool. Findings were analysed using thematic synthesis and confidence in findings was assessed using GRADE-CERQual.
METHODS: MEDLINE, CINAHL, EMBASE, PsychINFO databases and grey literature from 2005 to August 2019.
METHODS: Any research design that had a qualitative element and focused on adult patients\' and relatives\' experiences of deterioration and perceptions of escalating care.
RESULTS: We included five studies representing 120 participants and assessed the certainty of evidence as moderate using GRADE-CERQual. Findings indicated that a number of patients/relatives have the ability to detect acute deterioration, however, various factors act as both barriers and facilitators to being heard. These include personal factors, perceptions of role, quality of relationships with healthcare staff, and organisational factors. Theoretical understanding suggests that patient and relative involvement in escalation is dependent on both inherent capabilities and the factors that influence empowerment.
CONCLUSIONS: This review highlights that patient and family escalation of care interventions need to be designed with the aim of improving patient/relative-clinician collaboration and the sharing of responsibility.
CONCLUSIONS: These factors need to be addressed to promote more active partnerships when designing and implementing patient and family-initiated escalation of care interventions.

The monitoring and control of malaria depends largely on the spatial analysis technology and mathematical models. Visualization of malaria situation is the most popular way to present how malaria transmits. In this paper, the malaria epidemic situation and the application of spatial epidemiology of malaria in China are summarized, so as to provide the systematic epidemiological information for malaria elimination in China.
[摘要] 疟疾疫情的监测与控制, 离不开空间分析技术的发展以及模型分析的应用; 疫情的可视化是疟疾疫情的传播与 流行最直观的表现方式, 将是今后监测与防控的重点, 成为空间流行病学在疟疾疫情中的应用之一。本文综述了空间流 行病学在我国疟疾疫情研究中的应用以及分析预测方法等, 旨在为我国消除疟疾提供更为系统与完善的流行病学方法 学参考。.

OBJECTIVE: Dengue is a climate-sensitive infectious disease. Climate-based dengue early warning may be a simple, low-cost, and effective tool for enhancing surveillance and control. Scientific studies on climate and dengue in local context form the basis for advancing the development of a climate-based early warning system. This study aims to review the current status of scientific studies in climate and dengue and the prospect or challenges of such research on a climate-based dengue early warning system in a dengue-endemic country, taking Malaysia as a case study.
METHODS: We reviewed the relationship between climate and dengue derived from statistical modeling, laboratory tests, and field studies. We searched electronic databases including PubMed, Scopus, EBSCO (MEDLINE), Web of Science, and the World Health Organization publications, and assessed climate factors and their influence on dengue cases, mosquitoes, and virus and recent development in the field of climate and dengue.
CONCLUSIONS: Few studies in Malaysia have emphasized the relationship between climate and dengue. Climatic factors such as temperature, rainfall, and humidity are associated with dengue; however, these relationships were not consistent. Climate change projections for Malaysia show a mounting risk for dengue in the future. Scientific studies on climate and dengue enhance dengue surveillance in the long run.
CONCLUSIONS: It is essential for institutions in Malaysia to promote research on climate and vector-borne diseases to advance the development of climate-based early warning systems. Together, effective strategies that improve existing research capacity, maximize the use of limited resources, and promote local-international partnership are crucial for sustaining research on climate and health.