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Forecasting Future Demand of Nursing Staff for the Oldest-Old in China by 2025 Based on Markov Model.


Forecasting Future Demand of Nursing Staff for the Oldest-Old in China by 2025 Based on Markov Model.
By Liangwen Zhang,Shuyuan Shen,Yaqian Guo,Ya Fang
Jul 19, 2021
An aging population and an increase in the proportion of disabled elderly have brought an unprecedented global challenge, especially in China. Aside lack of professional long-term care facilities, the shortage of human resource for old-age care is also a major threat. Therefore, this study tries to forecast the demand scale of nursing staff for the oldest-old in 2025 in China servicing as a reference for the development plan of human resource for elderly nursing.
Based on CLHLS (Chinese Longitudinal Healthy Longevity Survey) 2011 and 2014, Logit model was used to construct the transition probability matrix of the elderly’s health status (health/mild/moderate/severe disability and death). By using the data of the elderly population aged 65 or over in the 2010 national population census, we projected t ....

Kerman University Of Medical Sciences , Chinese Longitudinal Healthy Longevity , Chinese Longitudinal Healthy Longevity Survey , Kerman University , Creative Commons Attribution License , கெர்மன் பல்கலைக்கழகம் ஆஃப் மருத்துவ அறிவியல் , சீன நீளமான ஆரோக்கியமான நீண்ட ஆயுள் , சீன நீளமான ஆரோக்கியமான நீண்ட ஆயுள் கணக்கெடுப்பு , கெர்மன் பல்கலைக்கழகம் ,

The Lancet Infectious Diseases: Largest seroprevalence study in the region finds number of people infected with SARS-CoV-2 in Iran may be higher than expected


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An analysis of the first wave of the epidemic in Iran in 8902 people suggests the overall proportion of people with SARS-CoV-2 antibodies in their blood - known as seroprevalence - may be higher than rates based on clinical cases alone, at around 17.1% seropositivity vs 0.6% based on modelling from previous studies, by end of April 2020.
However, seroprevalence varies widely between cities - with the highest estimates found in Rasht (72.6%) and the lowest in Sanandaj (1.7%) although some cities had small samples sizes.
Despite high seroprevalence in a few cities, a large proportion of population is still uninfected. The potential shortcomings of current public health policies should therefore be identified to prevent future epidemic waves in Iran. ....

Sistan Va Baluchestan , United States , British Columbia , Az Arbayjane Sharqi , Az Arbayjane Gharbi , Maryam Darvishian , Reza Malekzadeh , Ardabil University Of Medical Sciences , Academy Of Medical Sciences , Mazandaran University Of Medical Sciences , Tabriz University Of Medical Sciences , Ahvaz Jundishapur University Of Medical Sciences , Urmia University Of Medical Sciences , Shiraz University Of Medical Sciences , Cancer Control Research , Kerman University Of Medical Sciences , Golestan University Of Medical Sciences , University Of Washington , Bc Cancer Research Centre , Mashhad University Of Medical Sciences , Kermanshah University Of Medical Sciences , Kurdistan University Of Medical Sciences , Zahedan University Of Medical Sciences , Iranian Ministry Of Health , Babol University Of Medical Sciences , Guilan University Of Medical Sciences ,