Robert F. Kennedy Jr. says President-elect Trump wants "measurable impacts" toward ending chronic disease within two years. About 60% of Americans suffer from at least one chronic disease.

Sharp rise in cases over 30 years compounded by millions of people lacking access to medication, Lancet study finds

World Diabetes Day is celebrated on November 14 every year

This article explores how eating junk food raises the risk of fatty liver diseases, examines symptoms, and highlights specific foods that can negatively impact liver health.

The recent report that over 684,000 Nigerians die from non communicable diseases, NCDs, annually, is a source of concern. Non communicable diseases are diseases that are not contagious. Most Nigerians have been battling with communicable or infectious diseases like cholera, Human Immuno Virus, HIV, tuberculosis among others. Such diseases have, however, attracted public attention as […]

Stakeholders raise concern as non-communicable diseases claim 684,000 Nigerians

“It’s been horrible; I’ve been sick on and off for the last 10 days,” said 29-year-old Natasha Sohail, who teaches A-Level students at three private schools in Lahore. She is asthmatic, and last week, her condition worsened with a vertigo attack and fever. “It’s criminal what is happening here,” said an incensed Sohail, referring to the “band-aid measures” taken by the Punjab government.

Lahore also has the distinction of being the world leader in the poor air quality index (AQI), with some neighbourhoods touching over 1,200 on the AQI this month. The AQI measures the level of fine particles (PM2.5), larger particles (PM10), nitrogen dioxide (NO2), and ozone (O3) in the air. An AQI of 151 to 200 is classified as “unhealthy”, 201 to 300 “very unhealthy” and more than 300 as “hazardous”.

For the past eight years, since Sohail was in college and since smog became an annual phenomenon, Sohail has relied on anti-wheezing drugs and inhalers. At home, there are four air purifiers to help her breathe cleaner air.

She’s not alone.

“The hospitals are crowded with tens of thousands of patients suffering from respiratory and heart diseases being treated at hospitals and clinics over the last few weeks,” said Dr Ashraf Nizami, president of the Pakistan Medical Association’s Lahore chapter. “The psychological toll the poor air is taking on people remains under the radar.”

Punjab’s senior minister, Marriyum Aurangzeb, revealing the government’s anti-smog action plan, informed journalists that Lahore endured 275 days of unhealthy AQI levels over the past year, with temperatures rising by 2.3 degrees.

After Lahore’s AQI exceeded 1,000 last week, authorities closed all primary and secondary schools. Punjab’s Secretary for Environment, Raja Jahangir Anwar, warned the closure could continue if air quality doesn’t improve. “Young children are vulnerable, and we want to avoid an emergency,” he said, adding that online learning, like during the COVID pandemic, can be adopted again.

Living in a world of air purifiers

Aliya Khan, 37, a mother of two boys — aged five and one, with the older one suffering from asthma — had installed four imported air purifiers in her home four years ago, each costing Rs31,000. They bought a fifth this year at Rs60,000. “It cost us a fortune, but that’s not all; the filters must be replaced every year, which costs Rs10,000 per machine,” she said.

The private school her five-year-old attends lacks air purifiers in classrooms, leaving parents with no choice but to pool together and buy one for their child’s classroom.

Khan, a development consultant, says air purifiers work best if the home is packed tightly to keep the air from outside entering. “Our windows and doors are poorly insulated and with elderly parents, domestic help and two kids — the air purifiers struggle to maintain their effectiveness.”

Smog brings business for some

Business picks up for 37-year-old Hassan Zaidi as soon as Lahore is covered in smog. He’s currently fulfilling an order for “hundreds of air purifiers” for a foreign school in Lahore.

A computer engineer with a passion for product design, Zaidi started building air purifiers in 2019 for his family after his baby daughter developed a cough. He purchased an imported air purifier, took it apart, and quickly realised that with the right materials, it was no “rocket science” to build one himself.

He claimed his “work better, look better, and cost just Rs25,000.” These air purifiers restart automatically after power outages, are nearly silent, and are easy to repair. The filter costs Rs2,400 and needs replacing each season. Each unit is good for a 500 square feet room if fully sealed.

Authorities take action

Anwar said the government has introduced several measures to reduce emissions and improve air quality, adopting a whole-of-government approach with all departments working together for the first time.

Authorities have already banned barbecuing food without filters and use of motorised rickshaws.

The government distributed 1,000 subsidised super-seeders to farmers as an alternative to burning rice stubble and took legal action against over 400 farmers who violated the burning ban. “This carrot and stick approach will be very effective,” endorsed Dr Abid Qaiyum Suleri, the executive director of the Islamabad-based think tank, Sustainable Development Policy Institute.

Anwar said super seeders will convert residue into mulch, improving production and speeding sowing. Penalising a few farmers will deter others from breaking the law.

“But the government’s own figures show agriculture contributes less than 4 per cent to smog,” pointed out Hassan Khan, a farmer in Punjab, and added, “Why waste so much time and expense on it; why not focus on the bigger polluters like the transport industry?”

Another measure the government took involved demolishing over 600 of the 11,000 smoke-emitting brick kilns that hadn’t switched to zigzag technology, including 200 in and around Lahore.

Terming brick kilns the “low hanging fruit,” Dr Parvez Hassan, senior advocate of the Supreme Court of Pakistan and president of the Pakistan Environmental Law Association, who, in 2003 and again in 2018, was appointed the chairperson of the Lahore Clean Air Commission and the Smog Commission by the Lahore High Court to come up with the smog policy, did not approve the “arbitrary decision of dismantling” the kilns. In his view, supporting the kiln owners with “available concessional financing for conversion to zizag technology” would be a more effective way.

He added that it was well known that the transport (oil), cement and textile sectors were the bigger polluters, but they were very influential. “Power in Pakistan has always meant being above the law,” he said, adding that the “general lack of political will and effective capability to monitor compliance” also acted as roadblocks.

“No country in the world has succeeded in good environmental policies unless it has first built a capacity to implement! The journey must begin with capacity building!”

However, Anwar said, action has been taken with visits to 15,000 industrial units, sealing 64 mills, and demolishing 152 factories.

With 43pc of air pollution in the province caused by unfit vehicles, Anwar also held the transporters responsible for the smog. He shared that Lahore has 1.3 million cars and 4.5 million two-wheelers, with 1,800 motorcycles added daily. He also mentioned that the traffic police had been ordered to impound vehicles without fitness certificates. Last month, a fine of Rs16.09 million was imposed on over 24,000 substandard vehicles across the province.

“Getting a vehicle fitness certificate in Pakistan is as easy as a blind person getting a license to drive!” said a petroleum expert who requested anonymity. “We need to clean the fuel, scrap old vehicles, and make vehicle emissions testing mandatory,” he added.

Imran Khalid, a climate governance expert, emphasised that improving fuel quality alone wasn’t enough; vehicles and engines also need upgrades to fully benefit from better fuel. He noted that while Euro 5 fuel is available in Pakistan, it’s not widely accessible, and Euro 6 is the standard in India. “I haven’t seen any survey on how many cars in Pakistan have Euro 5 compliant engines,” he added.

“I think it would be far more effective to invest in mass transit, but there is no talk of this issue; we keep making more motorways, widening roads, and bringing in more vehicles on roads in the cities instead of investing in railways and commuter rails,” said farmer Khan.

The petroleum expert urged the government to approve the refinery upgrade policy, which has been delayed for two years, adding that upgrades will take up to five years.

Despite various actions, people in Lahore remain unconvinced, calling them too little, too late.

“The measures announced by the government should have been operationalised at least six months before the smog season and the 24/7 enforcement of these priorities should be rigorously monitored by a dedicated team with support of the public through awareness campaigns,” pointed out advocate Hassan.

Nizami called for year-round efforts against air pollution, questioning why no one is held accountable for cutting millions of trees for unplanned housing while the focus remains on controlling stubble burning.

The Pakistan Air Quality Experts (PAQx) group, a coalition of 27 professionals from public health, environmental science, law, and economics, has written to the prime minister, suggesting the establishment of a “comprehensive, nationwide real-time air quality monitoring network” for informed decision-making and responsive policymaking.

Anwar defended the smog plan, stating it’d been in progress since April and required public cooperation, including staying indoors and wearing masks. Punjab’s senior minister, Marriyum Aurangzeb, warned that failure to wear masks could lead to a complete city lockdown.

“I don’t see the plan working as the air quality is getting from bad to worse,” said Sohail.

Nizami criticised the government for making a lot of noise but taking little action. “It’s shameful how they’ve shifted health responsibilities to the private sector,” he said.

Sohail suggested cloud seeding for artificial rain, noting its positive impact last year. Nizami also supported using artificial rain to clear the haze.

Anwar explained that cloud seeding required the right clouds and humidity. “But we are quite ready and as soon as the timing is right, we will do it,” he promised.

Climate diplomacy

While 70pc of smog in Lahore is locally generated, nearly 30pc comes from India. Manoj Kumar, a scientist with the Finnish Centre for Research on Energy and Clean Air, noted that the Indo-Gangetic Plain formed an “interconnected airshed,” affecting air quality, but local sources played a major role in Lahore’s pollution levels.

The chief minister is keen to start talks with her Indian counterpart. “Maryam Nawaz will soon send a letter to the Chief Minister of Indian Punjab, expressing her willingness to visit India and invite him to Pakistan,” said Anwar.

Kumar praised the Punjab chief minister’s initiative, emphasising that long-term, coordinated efforts between both countries could lead to improved air quality through a unified approach. But the efforts should not stop at the Punjab regions alone, as the airshed is shared and goes beyond India.

Anwar said Pakistan is considering hosting a “regional climate conference in Lahore soon.”

Header image: Smog near the Ghanta Ghar (Clock Tower) in Faisalabad, a city about 120km from Lahore and the third most populous city after Karachi and Lahore. Credits: Khalid Mahmood/Wiki & handout.

This article was originally published in Inter Press Service and has been reproduced here with permission.

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Discover the impact of hypereosinophilia on heart health, focusing on eosinophilic heart disease (EHD) and its mechanisms.

While some types of diabetes are manageable with medications and lifestyle adjustments, others can lead to long-term health issues.

The current system for delivering NHS cardiovascular disease (CVD) health checks is not working effectively and must be reviewed to ensure that it reaches people with the highest risk, the National Audit Office has said.1In a review of the commissioning, delivery, and performance of CVD health checks the watchdog found that just over one in 12 people (8.8%) who were eligible attended a health check in 2023-24—which, if maintained, would equate to a five year coverage of 44%.Health checks were first introduced in 2009, with the aim of reducing ill health from CVD by offering everyone aged 40-74 without a pre-existing heart condition a check-up every five years. However, problems have arisen since the responsibility for commissioning these checks was transferred to local authorities in 2013, said the National Audit Office.The move led to the Department of Health and Social Care (DHSC) losing its ability to influence local authority performance,...

The main monogenic causes of pulmonary fibrosis in adults are mutations in telomere-related genes. These mutations may be associated with extrapulmonary signs (hepatic, haematological and dermatological) and typically present radiologically as usual interstitial pneumonia or unclassifiable fibrosis. In children, the monogenic causes of pulmonary fibrosis are dominated by mutations in surfactant-related genes. These mutations are not associated with extrapulmonary signs and often manifest radiologically as unclassifiable fibrosis with cysts that can lead to chest wall deformities in adults. This review discusses these mutations, along with most of the monogenic causes of interstitial lung disease, including interferon-related genes, mutations in genes causing cystic lung disease, Hermansky–Pudlak syndrome, pulmonary alveolar proteinosis, lysinuric protein intolerance and lysosomal storage disorders, and their pulmonary and extrapulmonary manifestations.

On February 29, 2024, Rare Disease Day will take place worldwide to raise awareness for rare diseases. Only 5% of the approximately 6,000 to 10,000 known rare diseases are currently treatable. The research and development of targeted therapeutic approaches is time-consuming, so that many companies shy away from the financial outlay in view of the low number of patients.

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This is a reasoned argument by Joanna (Why I Don't Vaccinate My Children) posted on Erwin Alber's VINE facebook page which was started in 2009, to help parents make an informed choice on behalf of their children. Image credit topnews.ae Joanna responds (below) to a lady who published an article saying that unvaccinated children are the cause of recent increased pertussis (whooping cough) outbreaks in areas where vaccination is actively pursued......

Multiple sclerosis is curable if recognised as Lyme disease. The cause is a cyst-forming bacterium, Borrelia Burgdorferi, which causes lesions that degrade brain and spinal cord tissue.

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Recognizing the role of exercise presents a promising approach to enhancing patient outcomes, controlling symptioms and inproving overall quality of life. Healthcare professionals, particularly advanced practice registered nurses, can tailor fitness programs to meet individual needs more effectively towards a holistic approach to chronic disease management.

Alternative treatment for Canine Liver Disease

[GhanaToday] To advance the treatment of sickle cell disease in the country, the Ministry of Health has launched the National Sickle Cell Disease Strategy for 2024 to 2028, along with a National Vaccine Policy in Accra.

As Orthodox Christians in a non-Orthodox culture, we have questions: Who are we? What is "the Church"? What is our relationship to friends and family of other faiths? What is ecumenism? Who will be saved? In this special edition of Hearts and Minds, Fr John Oliver offers a few reflections.

Rev. Fr. Nick Tambakis discusses the relationship between sin and bodily disease. He then explains how the Church is a hospital and confession is therapy.

The Parable of Lazarus and the Rich man is a dramatic story about the end result of a selfish life. Fr Tom reminds us that our most fundamental call as Christians is, not only to love God, but also to love our neighbor. (Twentieth Sunday after Pentecost)

The General Medical Council says there are interim conditions on the doctor's registration.

The event is designed to show how the joy art can bring people.

In order to further improve the public health assurance system and the infectious diseases early warning system to give play to their positive roles and enhance their collaborative capacity, this paper, based on the big and thick data analytics technology, designs a 'rolling-type' data synergy model. This model covers districts and counties, municipalities, provinces, and the country. It forms a data blockchain for the public health assurance system and enables high sharing of data from existing system platforms such as the infectious diseases early warning system, the hospital medical record management system, the public health data management system, and the health big and thick data management system. Additionally, it realises prevention, control and early warning by utilising data mining and synergy technologies, and ideally solves problems of traditional public health assurance system platforms such as excessive pressure on the 'central node', poor data tamper-proofing capacity, low transmission efficiency of big and thick data, bad timeliness of emergency response, and so on. The realisation of this technology can greatly improve the application and analytics of big and thick data and further enhance the public health assurance capacity.

In India, 70% of the Indian population is dependent on agriculture, yet agriculture generates only 13% of the country's gross domestic product. Several factors contribute to high levels of stress among farmers in India, such as increased input costs, draughts, and reduced revenues. The problem lies in the absence of an integrated farm advisory system. A farmer needs help to bridge this information gap, and they need it early in the crop's lifecycle to prevent it from being destroyed by pests or diseases. This research involves developing deep learning algorithms such as <i>ResNet18</i> and <i>DenseNet121</i> to help farmers diagnose crop diseases earlier and take corrective actions. By using deep learning techniques to detect these crop diseases with images farmers can scan or click with their smartphones, we can fill in the knowledge gap. To facilitate the use of the models by farmers, they are deployed in Android-based smartphones.

The patient must follow a good diet to lessen the risk of health conditions. The body needs vitamins, minerals, and nutrients for illness prevention. When the human body does not receive the right amount of nutrients, nutritional disorders can develop, which can cause a number of different health issues. Chronic diseases like diabetes and hypertension can be brought on by dietary deficiencies. The human body receives the nutrients from a balanced diet to function properly. This research has a prototype that enables patients to find nutritious food according to their health preferences. It suggests meals based on their preferences for nutrients such as protein, fibre, high-fibre, low-fat, etc., and diseases such as pregnancy and diabetes. The process implements the recommendation based on the patient's profile (content-relied, K-NN), recommendation relied on patients with similar profiles, and recommendation based on the patient's past or recent activity.

Aim/Purpose: In the United States, the Centers for Disease Control and Prevention (CDC) tracks the disease activity using data collected from medical practice's on a weekly basis. Collection of data by CDC from medical practices on a weekly basis leads to a lag time of approximately 2 weeks before any viable action can be planned. The 2-week delay problem was addressed in the study by creating machine learning models to predict flu outbreak. Background: The 2-week delay problem was addressed in the study by correlation of the flu trends identified from Twitter data and official flu data from the Centers for Disease Control and Prevention (CDC) in combination with creating a machine learning model using both data sources to predict flu outbreak. Methodology: A quantitative correlational study was performed using a quasi-experimental design. Flu trends from the CDC portal and tweets with mention of flu and influenza from the state of Georgia were used over a period of 22 weeks from December 29, 2019 to May 30, 2020 for this study. Contribution: This research contributed to the body of knowledge by using a simple bag-of-word method for sentiment analysis followed by the combination of CDC and Twitter data to generate a flu prediction model with higher accuracy than using CDC data only. Findings: The study found that (a) there is no correlation between official flu data from CDC and tweets with mention of flu and (b) there is an improvement in the performance of a flu forecasting model based on a machine learning algorithm using both official flu data from CDC and tweets with mention of flu. Recommendations for Practitioners: In this study, it was found that there was no correlation between the official flu data from the CDC and the count of tweets with mention of flu, which is why tweets alone should be used with caution to predict a flu out-break. Based on the findings of this study, social media data can be used as an additional variable to improve the accuracy of flu prediction models. It is also found that fourth order polynomial and support vector regression models offered the best accuracy of flu prediction models. Recommendations for Researchers: Open-source data, such as Twitter feed, can be mined for useful intelligence benefiting society. Machine learning-based prediction models can be improved by adding open-source data to the primary data set. Impact on Society: Key implication of this study for practitioners in the field were to use social media postings to identify neighborhoods and geographic locations affected by seasonal outbreak, such as influenza, which would help reduce the spread of the disease and ultimately lead to containment. Based on the findings of this study, social media data will help health authorities in detecting seasonal outbreaks earlier than just using official CDC channels of disease and illness reporting from physicians and labs thus, empowering health officials to plan their responses swiftly and allocate their resources optimally for the most affected areas. Future Research: A future researcher could use more complex deep learning algorithms, such as Artificial Neural Networks and Recurrent Neural Networks, to evaluate the accuracy of flu outbreak prediction models as compared to the regression models used in this study. A future researcher could apply other sentiment analysis techniques, such as natural language processing and deep learning techniques, to identify context-sensitive emotion, concept extraction, and sarcasm detection for the identification of self-reporting flu tweets. A future researcher could expand the scope by continuously collecting tweets on a public cloud and applying big data applications, such as Hadoop and MapReduce, to perform predictions using several months of historical data or even years for a larger geographical area.

Aim/Purpose: The understanding of disease spread dynamics in the context of air travel is crucial for effective disease detection and epidemic intelligence. The Susceptible-Exposed-Infectious-Recovered-Hospitalized-Critical-Deaths (SEIR-HCD) model proposed in this research work is identified as a valuable tool for capturing the complex dynamics of disease transmission, healthcare demands, and mortality rates during epidemics. Background: The spread of viral diseases is a major problem for public health services all over the world. Understanding how diseases spread is important in order to take the right steps to stop them. In epidemiology, the SIS, SIR, and SEIR models have been used to mimic and study how diseases spread in groups of people. Methodology: This research focuses on the integration of air traffic network data into the SEIR-HCD model to enhance the understanding of disease spread in air travel settings. By incorporating air traffic data, the model considers the role of travel patterns and connectivity in disease dissemination, enabling the identification of high-risk routes, airports, and regions. Contribution: This research contributes to the field of epidemiology by enhancing our understanding of disease spread dynamics through the application of the SIS, SIR, and SEIR-HCD models. The findings provide insights into the factors influencing disease transmission, allowing for the development of effective strategies for disease control and prevention. Findings: The interplay between local outbreaks and global disease dissemination through air travel is empirically explored. The model can be further used for the evaluation of the effectiveness of surveillance and early detection measures at airports and transportation hubs. The proposed research contributes to proactive and evidence-based strategies for disease prevention and control, offering insights into the impact of air travel on disease transmission and supporting public health interventions in air traffic networks. Recommendations for Practitioners: Government intervention can be studied during difficult times which plays as a moderating variable that can enhance or hinder the efficacy of epidemic intelligence efforts within air traffic networks. Expert collaboration from various fields, including epidemiology, aviation, data science, and public health with an interdisciplinary approach can provide a more comprehensive understanding of the disease spread dynamics in air traffic networks. Recommendation for Researchers: Researchers can collaborate with international health organizations and authorities to share their research findings and contribute to a global understanding of disease spread in air traffic networks. Impact on Society: This research has significant implications for society. By providing a deeper understanding of disease spread dynamics, it enables policymakers, public health officials, and practitioners to make informed decisions to mitigate disease outbreaks. The recommendations derived from this research can aid in the development of effective strategies to control and prevent the spread of infectious diseases, ultimately leading to improved public health outcomes and reduced societal disruptions. Future Research: Practitioners of the research can contribute more effectively to disease outbreaks within the context of air traffic networks, ultimately helping to protect public health and global travel. By considering air traffic patterns, the SEIR-HCD model contributes to more accurate modeling and prediction of disease outbreaks, aiding in the development of proactive and evidence-based strategies to manage and mitigate the impact of infectious diseases in the context of air travel.

Alzheimer's disease (AD), a leading cause of dementia and mortality, presents a growing concern due to its irreversible progression and the rising costs of care. Early detection is crucial for managing AD, which begins with memory deterioration caused by the damage to neurons involved in cognitive functions. Although incurable, treatments can manage its symptoms. This study introduces a hybrid AlexNet+ResNet-50 model for AD diagnosis, utilising a pre-trained convolutional neural network (CNN) through transfer learning to analyse MRI scans. This method classifies MRI images into Alzheimer's disease (AD), moderate cognitive impairment (MCI), and normal control (NC), enhancing model efficiency without starting from scratch. Incorporating transfer learning allows for refining the CNN to categorise these conditions accurately. Our previous work also explored atlas-based segmentation combined with a U-Net model for segmentation, further supporting our findings. The hybrid model demonstrates superior performance, achieving 94.21% accuracy in identifying AD cases, indicating its potential as a highly effective tool for early AD diagnosis and contributing to efforts in managing the disease's impact.

This paper presents a novel deep learning technique called quantum dilated convolutional neural network-DenseNet (Q-DenseNet) for prediction of heart disease in spark framework. At first, the input data taken from the database is allowed for data partitioning using fast fuzzy C-means clustering (FFCM). The partitioned data is fed into spark framework, where pre-processed by missing data imputation and quantile normalisation. The pre-processed data is further allowed for selection of suitable features. Then, the selected features from the slave nodes are merged and fed into master node. The Q-DenseNet is used in master node for the prediction of heart disease. The performance improvement of the designed Q-DenseNet model is validated by comparing with traditional prediction models. Here, the Q-DenseNet method achieved superior performance with maximum of 92.65% specificity, 91.74% sensitivity, and 90.15% accuracy.

People walk around a park amid heavy smoggy conditions in Lahore on November 7, 2024. —AFP

PARIS: Record-breaking heat, extreme weather events, air pollution and the spread of infectious disease: climate change poses an already vast yet rising threat to the health of humans around...

Back in December 2023, FDA announced intention in the Federal Register and in a press release to form a new FDA Advisory Committee to be called the Genetic Metabolic Diseases Advisory Committee (GeMDAC). As noted in a recent posting here, … Continue reading →

Washington — NIOSH and the Mine Safety and Health Administration are looking for presenters for a virtual workshop on silica exposure and lung disease in the mining industry, scheduled for Oct. 22-23.

Washington — A new OSHA initiative is aimed at protecting workers in the engineered stone fabrication and installation industries from silica exposure.

San Francisco — The Washington State Nurses Association is among four labor unions suing Secretary of Labor Eugene Scalia and OSHA in an effort to compel the agency to move forward with rulemaking on an infectious diseases standard that would require employers in the health care industry to protect workers from exposure to harmful infectious diseases such as COVID-19, Ebola and influenza.

State College, PA — Using a 3D device on a microchip that mimics the behavior of human lungs, researchers from Penn State University will use a $400,000 grant from NIOSH to study the effects of nano-scale coal dust on the lungs of underground miners, the university has announced.

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Columbia, SC — South Carolina OSHA has announced its plan to adopt a standard on infectious diseases in the workplace, including COVID-19.

San Diego — More than 4,600 coal miners have developed the most severe form of black lung disease since 1970, with nearly half of the cases emerging after 2000, according to a recent study from the University of Illinois at Chicago.