RESUMO
Waterborne illnesses are a significant concern worldwide. The management of water resources can be facilitated by artificial intelligence (AI) with the help of data analytics, regression models, and algorithms. Achieving the Sustainable Development Goals (SDGs) of the 2030 Agenda for Sustainable Development of the United Nations depends on understanding, communicating, and measuring the value of water and incorporating it into decision-making. Various barriers are used from the source to the consumer to prevent microbiological contamination of drinking water sources or reduce contamination to levels safe for human health. Infrastructure development and capacity-building policies should be integrated with guidelines on applying AI to problems relating to water to ensure good development outcomes. Communities can live healthily with such technology if they can provide clean, economical, and sustainable water to the ecosystem as a whole. Quick and accurate identification of waterborne pathogens in drinking and recreational water sources is essential for treating and controlling the spread of water-related diseases, especially in resource-constrained situations. To ensure successful development outcomes, policies on infrastructure development and capacity building should be combined with those on applying AI to water-related problems. The primary focus of this study is the use of AI in managing drinking water and preventing waterborne illness.
RESUMO
Background Over the past 20 years, the prevalence of adult obesity has doubled. International awareness of the body mass index (BMI) as a benchmark for identifying and categorizing overweight and obesity has grown. This study was conducted to assess the socio-demographic factors of the study participants, assess the prevalence of obesity amongst the study subjects, find an association between risk factors and diabesity, and assess obesity using the percentage body fat and waist-hip ratio of study participants. Methods This study was undertaken among diabetes patients residing in the field practice area of the Urban Health and Training Centre (UHTC), Wadi, affiliated with the Datta Meghe Medical College, Nagpur, from July 2022 to September 2022. Two hundred and seventy-eight diabetic people were included as study participants. Systematic random sampling was used to identify study subjects visiting UHTC, Wadi. The World Health Organization's step-by-step approach to the surveillance of risk factors for chronic diseases served as the model for the questionnaire. Results Among the 278 diabetic study participants, the prevalence of generalized obesity was 76.61%. Obesity was more prevalent in subjects with a family history of diabetes. All hypertensive subjects were obese. Obesity was more prevalent among tobacco chewers. In obesity assessment using body fat percentage when compared with standard BMI, the sensitivity was found to be 84% and specificity was 48%. Conclusion Body fat percentage is a simple estimation that can identify obesity among diabetic individuals who are non-obese by BMI. We can change the behavior amongst non-obese diabetic individuals by giving health education, thereby reducing insulin resistance and improving compliance and adherence to the treatment.
RESUMO
There are still many areas of India without proper medical facilities. In such a setting, technology can play a facilitating role, particularly in reaching out to remote locations and offering a greater standard of care at a lower cost. The method of treating and diagnosing patients remotely through communication networks is known as telemedicine. When more patients get access to telemedicine, payers take more notice of how much less expensive it is than traditional medicine, and doctors are aware of its benefits. Telemedicine is a more beneficial technology that can expand access to preventive treatment and may lead to long-term health. Telemedicine has the potential to greatly affect public health. This paper reviews the current state of the art of telemedicine in India. Nearly 50 years ago, telemedicine was shrugged off as a complicated, expensive, and inefficient technology. Because of how quickly the information technology and telecommunications disciplines are advancing, telemedicine is today a viable, dependable, and useful technique. Practitioners and medical experts from a variety of fields have experienced success with telemedicine. The COVID-19 pandemic highlighted the need for strong primary healthcare networks for a more effective public health response during health emergencies and exposed the fragmentation of healthcare delivery systems. Although primary care is the first point of contact between the general public and the healthcare system, it has not recently grown much focus or funding. Even in the post-COVID-19 environment, telemedicine offers the potential to get through enduring barriers to primary care in India, such as a shortage of qualified medical professionals, issues with access, and the cost of in-person care. Telemedicine has the power to speed up the delivery of universal health coverage while strengthening primary care. There is a widening gap between people and those who offer basic health services as the population in India has grown, and the average lifespan has increased. Telemedicine helps with palliative care, early identification, a better cure, prevention, and rehabilitation in the treatment of cancer. Due to a shortage of primary care delivery networks and referral units, secondary and tertiary care facilities' health systems are overworked. To successfully use telemedicine, proper planning and operating processes are required. Thus, the development and implementation of telemedicine will improve patient care and India's primary healthcare system in the future. Finally, telemedicine's cost-effectiveness will likely be its most significant outcome.
