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Characterization of population connectivity for enhanced cross-border surveillance of yellow fever at Mutukula and Namanga borders in Tanzania.
IJID Reg
December 2024
Nelson Mandela African Institution of Science and Technology (NM-AIST), School of Life Sciences and Bioengineering, Department of Health and Biomedical Sciences, Arusha, Tanzania.
Objectives: Yellow fever (YF) remains a public health threat in Sub-Saharan Africa and South America, with an estimated 200,000 cases and 30,000 deaths annually. Although the World Health Organization considers Tanzania to be at low risk for YF because no YF cases have been reported, the country remains at alert to importation of the virus due to ecological factors and high connectivity to high-risk YF areas in other countries. This study aimed to identify points of interest with connectivity to high-risk YF areas to guide preparedness efforts in Tanzania.
View Article and Find Full Text PDF[Spatial Distribution, Source Analysis, and Risk Assessment of Multiple Antibiotics in Chaohu Lake Basin].
Huan Jing Ke Xue
December 2024
School of Earth and Space Science, University of Science and Technology of China, Hefei 230026, China.
Chaohu Lake is the fifth largest freshwater lake in China that meets the needs of surrounding industries for water, tourism, and flood storage, making it important for the socio-economic development and modernization of Anhui Province. As an important ecological wetland in the lower reaches of the Yangtze River, many rare bird habitats are present along the coast of Chaohu Lake. Therefore, it is eco-economically important to study antibiotic pollution in Chaohu Lake.
View Article and Find Full Text PDFThe State of Surrogacy in New York: A New National Prototype, New Patrons, New Perils?
J Med Humanit
December 2024
Columbia University, New York, NY, USA.
Article Synopsis
- The text discusses the evolution of the infertility industry in New York since the Baby M case, highlighting the rise of gestational carrier pregnancies and compensated surrogacy in various states due to advanced reproductive technologies.
- It notes that the USA has become a popular destination for international couples seeking surrogacy, driven by strong medical care, available gestational carriers, and citizenship benefits for children born through these arrangements.
- The author critiques the Child-Parent Security Act of 2021, pointing out the lack of strong regulations that protect gestational carriers and donor-conceived offspring, raising concerns about health risks, informed consent, and the market-driven nature of compensated surrogacy.
[Development of a prediction model for the incidence of type 2 diabetic kidney disease and its application based on a regional health data platform].
Zhonghua Liu Xing Bing Xue Za Zhi
October 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing 100191, China.
To construct a risk prediction model for diabetes kidney disease (DKD). Patients newly diagnosed with type 2 diabetes mellitus (T2DM) between January 1, 2015, and December 31, 2022, were selected as study subjects from the Yinzhou Regional Health Information Platform in Ningbo City. The Lasso method was used to screen the risk factors, and the DKD risk prediction model was established using Cox proportional hazard regression models.
View Article and Find Full Text PDFSpatial modeling and ecological suitability of Ebola virus disease in Africa.
PLoS One
October 2024
Key Laboratory of Wildlife Diseases and Biosecurity Management of Heilongjiang Province, Harbin, Heilongjiang Province, P. R. China.
This paper looks into the MaxEnt model in a trial to comprehend the ecological and environmental conditions that propagate and drive the spread of Ebola Virus Disease in Africa. We use the MaxEnt model to assess risk determinants associated with the occurrence and distribution of EVD, taking into account non-correlated variables such as neighborhood mean temperature, rainfall, and human population density. Our findings indicate that among the factors that significantly shape the geographical distribution of EVD risk are human population density, annual rainfall, temperature variability, and seasonality.
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