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The Global Antibiotic Resistance Partnership (GARP)-Mozambique team, in partnership with the Center for Disease Dynamics, Economics & Policy (CDDEP), has produced this report as part of a solid com-mitment to develop actionable
...
policy proposals to tackle antibiotic resistance and improve appropriate antibiotic access. It is the result of a thorough review of published and unpublished data on antibiotic resistance and a long internal consultation effort that engaged academic scientists, health professionals and other stakeholders within Mozambique.
more
During the first year of the Covid-19 pandemic, the world’s economy slowed. Yet, the global annual average particulate pollution (PM2.5) was largely unchanged from 2019 levels. At the same time, growing evidence shows air pollution—even when experienced at very low levels—hurts human health. T
...
his recently led the World Health Organization (WHO) to revise its guideline for what it considers a safe level of exposure of particulate pollution, bringing most of the world—97.3 percent of the global population—into the unsafe zone. The AQLI finds that particulate air pollution takes 2.2 years off global average life expectancy, or a combined 17 billion life-years, relative to a world that met the WHO guideline. This impact on life expectancy is comparable to that of smoking, more than three times that of alcohol use and unsafe water, six times that of HIV/AIDS, and 89 times that of conflict and terrorism.
more
India is the world’s second most polluted country. Air pollution shortens average Indian life expectancy by 5 years,
relative to what it would be if the World Health Organization (WHO) guideline fine particulate pollution (PM2.5) of 5 μg/m3 was met. Some areas of India fare much worse than avera
...
ge, with air pollution shortening lives by almost 10
years in the National Capital Territory of Delhi, the most polluted city in the world.
more
Virtually all (99.9 percent) of Southeast Asia’s 656.1 million people live in areas where particulate pollution exceeds the World Health Organization (WHO) guideline of 5 μg/m³. Despite the lockdowns of the pandemic, pollution continued to rise in much of Southeast Asia in 2020. This pollution c
...
uts short the life expectancy of the average Southeast Asian person by 1.5 years, relative to what it would be if the WHO guideline was met. That’s a total of 959.8 million person-years lost to pollution in the eleven countries that make up this region. Some countries in the region experience greater impacts from pollution.
more
In Central and West Africa, regions together comprising 27 countries and 605 million people, the average person is exposed to particulate pollution levels that are more than 4 times the World Health Organization’s (WHO) guideline of 5 μg/m³1. If these particulate pollution levels persist, averag
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e life expectancy in the regions would be 1.6 years lower, and a total of 971 million person-years would be lost, relative to if air quality met the WHO guideline. The Democratic Republic of the Congo, Rwanda and Burundi, are the top three most polluted countries in the region.
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Bangladesh is the world’s most polluted country. Air pollution shortens the average Bangladeshi’s life expectancy by 6.9 years, relative to what it would be if the World Health Organization (WHO) guideline of 5 μg/m³ was met. Some areas of Bangladesh fare much worse than average, with air poll
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ution shortening lives by nearly 9 years in Dhaka, the country’s most polluted city.
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Pakistan is the world’s fourth most polluted country. Air pollution shortens the average Pakistani’s life expectancy by 3.8 years, relative to what it would be if the World Health Organization (WHO) guideline of 5 μg/m3 was met.1 Some areas of Pakistan fare much worse than average, with air pol
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lution shortening lives by almost 7 years in the country’s most polluted regions, like Lahore and Peshawar.
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Nepal is the world’s third most polluted country. Air pollution shortens average Nepalese life expectancy by 4.1 years, relative to what it would be if the World Health Organization (WHO) guideline of 5 μg/m3 was met.1 The highest concentrations of air pollution are observed in Nepal’s southwes
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tern districts, which share their borders with the highly-polluted Indo-Gangetic Plain of India. Here, residents stand to lose nearly 7 years of life expectancy.
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Air pollution’s impact on life expectancy in Nigeria is greater than that of HIV/AIDS and almost on par with malaria and unsafe water and sanitation, shortening the average Nigerian’s life expectancy by 1.8 years, relative to what it would be if the World Health Organization (WHO) guideline of 5
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μg/m3 was met.1 Some areas of Nigeria fare much worse than average, with air pollution shortening lives by almost 4 years on average in parts of Taraba state in Northeastern Nigeria.
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Diabetes Burdens: 10.5% adults around the world are currently loving with diabetes.
Rwanda’s mountainous topography makes ground transportation of medical supplies unreliable — some roads stretching into rural areas remain uncared for and unpaved. Between 25 and 40 per cent of all temperature-sensitive medical supplies sent from urban centres to rural health clinics are wasted
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because of an unreliable cold-chain infrastructure. Rural clinics are also often subject to stockouts, and patients in need of specialized blood products, drugs and other supplies are unable to acquire them. Zipline, a US-based health logistics company, aims to address the issue of access to medical supplies, largely leapfrogging traditional modes of transportation and various obstacles. Zipline uses drones to deliver blood and other routine and emergency medical supplies from distribution centres to district hospitals and rural health centres.
Although the company has been celebrated in the media for its operations, there is little scholarly work on its operations and performance. This has led to some confusion over its scale. We aimed to gain insight into the details of Zipline’s business model, including the infrastructure, regulations and government support that make Zipline possible, and to understand its impact on health outcomes in Rwanda. Our work was entirely based on published materials since our research was conducted during the COVID-19 pandemic.
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The UMN’s Center for Disease Research and Policy (CIDRAP) has developed an excellent portal, which links to the most important sources of information. Many journals and newspapers have also created their own resource lists, including The Lancet, T
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he New York Times, and Science
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