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The Spectrum and Age-Sex Patterns Among Outpatients with Allergic Diseases - Yichang City, Hubei Province, China, 2018-2021. 2018-2021年湖北省宜昌市变应性疾病门诊患者光谱及年龄-性别特征分析
China CDC Weekly Pub Date : 2023-08-04 DOI: 10.46234/ccdcw2023.131
Jinyi Wang, Mingwei Sun, Guoxing Li, Dapeng Yin, Chi Hu, Jinfang Sun
{"title":"The Spectrum and Age-Sex Patterns Among Outpatients with Allergic Diseases - Yichang City, Hubei Province, China, 2018-2021.","authors":"Jinyi Wang,&nbsp;Mingwei Sun,&nbsp;Guoxing Li,&nbsp;Dapeng Yin,&nbsp;Chi Hu,&nbsp;Jinfang Sun","doi":"10.46234/ccdcw2023.131","DOIUrl":"https://doi.org/10.46234/ccdcw2023.131","url":null,"abstract":"<p><strong>What is already known about this topic?: </strong>Allergic diseases have affected an estimated 40% of the population in China. However, our understanding of the full spectrum of these diseases remains insufficient.</p><p><strong>What is added by this report?: </strong>Between 2018 and 2021, Yichang City documented 625,929 outpatient visits mainly related to skin and mucous membrane allergies (77.90%) and allergic respiratory conditions (19.64%). In 2021, the occurrence of outpatient visits for conditions such as allergic rhinitis, acute atopic conjunctivitis, and atopic dermatitis increased. The demographic analysis revealed that male patients comprised the majority of the under 18 age bracket (56.05%), while female patients were predominantly represented in the 18 to 65 age bracket (61.79%).</p><p><strong>What are the implications for public health practice?: </strong>This constitutes the first analysis of the spectrum of allergic diseases, utilizing regional outpatient data, which has substantial implications for understanding the disease burden.</p>","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 31","pages":"681-686"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/df/d7/ccdcw-5-31-681.PMC10427338.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10403511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The "Paired Learning by Doing" Approach for Capacity Building Derived from the China-UK-Tanzania Pilot Project on Malaria Control During 2015-2018. 2015-2018年中国-英国-坦桑尼亚疟疾控制试点项目的“做中学对”能力建设方法
China CDC Weekly Pub Date : 2023-08-04 DOI: 10.46234/ccdcw2023.133
Shenning Lu, Xuejiao Ma, Wei Ding, Duoquan Wang, Zhengbin Zhou, Kangming Lin, Fei Luo, Shan Lyu, Ning Xiao, Xiao-Nong Zhou
{"title":"The \"Paired Learning by Doing\" Approach for Capacity Building Derived from the China-UK-Tanzania Pilot Project on Malaria Control During 2015-2018.","authors":"Shenning Lu,&nbsp;Xuejiao Ma,&nbsp;Wei Ding,&nbsp;Duoquan Wang,&nbsp;Zhengbin Zhou,&nbsp;Kangming Lin,&nbsp;Fei Luo,&nbsp;Shan Lyu,&nbsp;Ning Xiao,&nbsp;Xiao-Nong Zhou","doi":"10.46234/ccdcw2023.133","DOIUrl":"https://doi.org/10.46234/ccdcw2023.133","url":null,"abstract":"China’s growing prosperity has led to an increased role in international affairs, particularly in global health cooperation. Alongside sending medical teams abroad, China’s health authority is gradually expanding its South-South cooperation in public health. However, due to a late start in global health initiatives and limited experience in organizing, coordinating, and implementing intervention projects overseas, China still faces significant challenges in global health, particularly in the local context. Recognizing the longstanding partnership between the Chinese and British governments, they have identified global health as a new area of strategic cooperation. In 2012, the former UK Department for International Development (DFID) initiated a new type of health development cooperation project named the ChinaUK Global Health Support Programme (GHSP). Malaria is a highly prevalent infectious disease that poses a significant threat to nearly half of the global population. The African Region of the World Health Organization (WHO) is especially susceptible, with approximately 95% of all malaria cases occurring in this region. Tanzania is among the four African countries that contribute to more than half of all malaria-related deaths, with a mortality rate of 4% (1). As a result, Tanzania faces substantial obstacles in the prevention and control of malaria. With the remarkable achievement in malaria control and elimination, China’s extensive expertise in this field has played a pivotal role in shaping the basis of ChinaAfrica collaboration. The China-UK-Tanzania Pilot Project on Malaria Control signifies China’s inaugural endeavor in public health cooperation in Africa. This project represents a significant milestone in the adoption of China’s “going global” approach, building on the initial outputs of the GHSP. The primary aim of the pilot project is to apply China’s wealth of public health expertise and best practices in collaboration with developing nations. The project seeks to accomplish three main objectives: 1) document the lessons learned and experiences gained in implementing China’s novel health cooperation model, 2) serve as a successful model for future bilateral and multilateral collaborations, and 3) support partner countries in enhancing global health capacities. The National Institute of Parasitic Diseases (NIPD) at the China CDC and the Chinese Center for Tropical Diseases Research (NIPD-CTDR) lead the pilot project, which engages 11 institutions in China and abroad, including the Ifakara Health Institute (IHI) (2). Following approximately three years of implementation, malaria cases in the intervention areas have reduced by over 80% (3). Additionally, the project has facilitated the development of an effective intervention strategy known as the “1,7-malaria Reactive Community-based Testing and Response” (1,7-mRCTR) approach through the sharing of Chinese anti-malaria technology and practices (4). To accomplish its objectives, the p","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 31","pages":"694-697"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/63/d1/ccdcw-5-31-694.PMC10427337.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10403515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
An Autoregressive Integrated Moving Average Model for Predicting Varicella Outbreaks - China, 2019. 水痘疫情预测的自回归综合移动平均模型——中国,2019。
China CDC Weekly Pub Date : 2023-08-04 DOI: 10.46234/ccdcw2023.134
Miaomiao Wang, Zhuojun Jiang, Meiying You, Tianqi Wang, Li Ma, Xudong Li, Yuehua Hu, Dapeng Yin
{"title":"An Autoregressive Integrated Moving Average Model for Predicting Varicella Outbreaks - China, 2019.","authors":"Miaomiao Wang,&nbsp;Zhuojun Jiang,&nbsp;Meiying You,&nbsp;Tianqi Wang,&nbsp;Li Ma,&nbsp;Xudong Li,&nbsp;Yuehua Hu,&nbsp;Dapeng Yin","doi":"10.46234/ccdcw2023.134","DOIUrl":"https://doi.org/10.46234/ccdcw2023.134","url":null,"abstract":"<p><strong>Introduction: </strong>Varicella, a prevalent respiratory infection among children, has become an escalating public health issue in China. The potential to considerably mitigate and control these outbreaks lies in surveillance-based early warning systems. This research employed an autoregressive integrated moving average (ARIMA) model with the objective of predicting future varicella outbreaks in the country.</p><p><strong>Methods: </strong>An ARIMA model was developed and fine-tuned using historical data on the monthly instances of varicella outbreaks reported in China from 2005 to 2018. To determine statistically significant models, parameter and Ljung-Box tests were employed. The coefficients of determination (R<sup>2</sup>) and the normalized Bayesian Information Criterion (BIC) were compared to selecting an optimal model. This chosen model was subsequently utilized to forecast varicella outbreak cases for the year 2019.</p><p><strong>Results: </strong>Four models passed parameter (all <i>P</i><0.05) and Ljung-Box tests (all <i>P</i>>0.05). ARIMA (1, 1, 1)×(0, 1, 1)<sub>12</sub> was determined to be the optimal model based on its coefficient of determination R<sup>2</sup> (0.271) and standardized BIC (14.970). Fitted values made by the ARIMA (1, 1, 1)×(0, 1, 1)<sub>12</sub> model closely followed the values observed in 2019, the average relative error between the actual value and the predicted value is 15.2%.</p><p><strong>Conclusion: </strong>The ARIMA model can be employed to predict impending trends in varicella outbreaks. This serves to offer a scientific benchmark for strategies concerning varicella prevention and control.</p>","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 31","pages":"698-702"},"PeriodicalIF":0.0,"publicationDate":"2023-08-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a6/02/ccdcw-5-31-698.PMC10427340.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10403512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
No Novel Prevalent Mutations Detected in the Circulating Strains of BF.7, BA.5.2, DY, and XBB - China, November 2022 to June 2023. 2022年11月至2023年6月,在中国流行的BF.7、BA.5.2、DY和XBB株中未检测到新的流行突变。
China CDC Weekly Pub Date : 2023-07-28 DOI: 10.46234/ccdcw2023.126
Liang Wang, George F Gao
{"title":"No Novel Prevalent Mutations Detected in the Circulating Strains of BF.7, BA.5.2, DY, and XBB - China, November 2022 to June 2023.","authors":"Liang Wang,&nbsp;George F Gao","doi":"10.46234/ccdcw2023.126","DOIUrl":"https://doi.org/10.46234/ccdcw2023.126","url":null,"abstract":"","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 30","pages":"672-673"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/ef/d8/ccdcw-5-30-672.PMC10427496.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10421848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Reported Cases and Deaths of National Notifiable Infectious Diseases - China, January 2023. 2023年1月中国国家法定传染病报告病例数和死亡人数
China CDC Weekly Pub Date : 2023-07-28 DOI: 10.46234/ccdcw2023.060
{"title":"Reported Cases and Deaths of National Notifiable Infectious Diseases - China, January 2023.","authors":"","doi":"10.46234/ccdcw2023.060","DOIUrl":"https://doi.org/10.46234/ccdcw2023.060","url":null,"abstract":"","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 30","pages":"674-675"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/7f/1a/ccdcw-5-30-674.PMC10427493.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10078139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reported Cases and Deaths of National Notifiable Infectious Diseases - China, February 2023. 2023年2月中国国家法定传染病报告病例和死亡人数
China CDC Weekly Pub Date : 2023-07-28 DOI: 10.46234/ccdcw2023.061
{"title":"Reported Cases and Deaths of National Notifiable Infectious Diseases - China, February 2023.","authors":"","doi":"10.46234/ccdcw2023.061","DOIUrl":"https://doi.org/10.46234/ccdcw2023.061","url":null,"abstract":"","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 30","pages":"676-677"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/4e/63/ccdcw-5-30-676.PMC10427495.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10078140","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Changes in HIV-1 Subtypes/Sub-Subtypes, and Transmitted Drug Resistance Among ART-Naïve HIV-Infected Individuals - China, 2004-2022. HIV-1亚型/亚亚型的变化,以及ART-Naïve hiv感染者的传播耐药性——中国,2004-2022。
China CDC Weekly Pub Date : 2023-07-28 DOI: 10.46234/ccdcw2023.129
Xiu Liu, Dong Wang, Jing Hu, Chang Song, Lingjie Liao, Yi Feng, Dan Li, Hui Xing, Yuhua Ruan
{"title":"Changes in HIV-1 Subtypes/Sub-Subtypes, and Transmitted Drug Resistance Among ART-Naïve HIV-Infected Individuals - China, 2004-2022.","authors":"Xiu Liu,&nbsp;Dong Wang,&nbsp;Jing Hu,&nbsp;Chang Song,&nbsp;Lingjie Liao,&nbsp;Yi Feng,&nbsp;Dan Li,&nbsp;Hui Xing,&nbsp;Yuhua Ruan","doi":"10.46234/ccdcw2023.129","DOIUrl":"https://doi.org/10.46234/ccdcw2023.129","url":null,"abstract":"<p><strong>Introduction: </strong>The efficacy of treatment and clinical outcomes may be jeopardized by factors such as transmitted drug resistance (TDR) and the genetic diversity of the human immunodeficiency virus type 1 (HIV-1). This comprehensive study aims to examine the alterations in HIV-1 subtypes or sub-subtypes and TDR among Chinese individuals, who have been diagnosed with HIV infection and are previously untreated with antiretroviral therapy (ART), across the span of 2004 to 2022.</p><p><strong>Methods: </strong>Sequences of the HIV-1 <i>pol</i> gene region were obtained from ART-naïve HIV-positive individuals across 31 provincial-level administrative divisions between 2004 and 2022. To predict susceptibility to 12 antiretroviral drugs, the research utilized the Stanford HIV Drug Resistance Database. The Cochran-Armitage trend test facilitated the analysis of changes in HIV-1 subtype/sub-subtype prevalence and TDR. This analysis was conducted in alignment with the progression of the National Free Antiretroviral Treatment Program's stages between 2004 and 2022.</p><p><strong>Results: </strong>Among the 57,902 ART-naïve individuals infected with HIV, there was a notable decline in the prevalence of CRF01_AE, B, and C from 37.3%, 24.1%, and 1.3% respectively in 2004-2007 to 29.4%, 7.3%, and 0.2% respectively in 2020-2022. Simultaneously, a significant increase was observed in the proportions of CRF07_BC, CRF08_BC, CRF55_01B, other CRFs, and URFs, from 24.1%, 11.5%, 0.1%, 0.4%, and 0.9% respectively in 2004-2007 to 40.8%, 11.5%, 3.8%, 3.7%, and 2.8% respectively in 2020-2022 (all <i>P</i><0.001 for trend). The prevalence of TDR to overall, non-nucleoside reverse transcriptase inhibitor (NNRTI), efavirenz, and nevirapine also significantly increased from 2.6%, 1.8%, 1.6%, and 1.8% respectively in 2004-2007 to 7.8%, 6.7%, 6.3%, and 6.7% respectively in 2020-2022 (all <i>P</i><0.001 for trend). However, there were no meaningful changes in the TDR prevalence of nucleoside reverse transcriptase inhibitor and protease inhibitor. Notably, in 2020-2022, the overall TDR prevalence exceeded 15% in Xinjiang.</p><p><strong>Conclusions: </strong>The total prevalence of TDR in China has achieved a moderate level (7.8%) from 2020 to 2022, with NNRTI resistance standing prominently at 6.7%. Consequently, measures to curb TDR are urgently required, particularly among ART-naïve HIV-infected individuals in China.</p>","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 30","pages":"664-671"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/5a/96/ccdcw-5-30-664.PMC10427497.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10403504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Trends of Mortality in End-Stage Liver Disease - China, 2008-2020. 2008-2020年中国终末期肝病死亡率趋势
China CDC Weekly Pub Date : 2023-07-28 DOI: 10.46234/ccdcw2023.128
Xiaoxiao Wang, Huixin Liu, Jinlei Qi, Fangfang Zeng, Lijun Wang, Peng Yin, Feng Liu, Hongbo Li, Yunning Liu, Jiangmei Liu, Lai Wei, Xiaofeng Liang, Yu Wang, Huiying Rao, Maigeng Zhou
{"title":"Trends of Mortality in End-Stage Liver Disease - China, 2008-2020.","authors":"Xiaoxiao Wang,&nbsp;Huixin Liu,&nbsp;Jinlei Qi,&nbsp;Fangfang Zeng,&nbsp;Lijun Wang,&nbsp;Peng Yin,&nbsp;Feng Liu,&nbsp;Hongbo Li,&nbsp;Yunning Liu,&nbsp;Jiangmei Liu,&nbsp;Lai Wei,&nbsp;Xiaofeng Liang,&nbsp;Yu Wang,&nbsp;Huiying Rao,&nbsp;Maigeng Zhou","doi":"10.46234/ccdcw2023.128","DOIUrl":"https://doi.org/10.46234/ccdcw2023.128","url":null,"abstract":"<p><strong>Introduction: </strong>Liver cancer and cirrhosis represent the most prevalent forms of end-stage liver diseases (ESLDs). Notably, in China, deaths attributed to ESLDs contribute significantly to the global mortality rate of these disorders. Enhanced comprehension of the mortality profile associated with ESLDs in China could provide crucial insights into intervention prioritization, which could in turn help reduce the overall global burden of these diseases.</p><p><strong>Methods: </strong>Data were obtained from China's Disease Surveillance Points system. The presentation includes both crude and age-standardized mortality rates, stratified by sex, residential location, and region. Using Joinpoint Regression, trends in annual mortality rates were estimated from the period of 2008 to 2020 and expressed as the average annual percentage change (AAPC).</p><p><strong>Results: </strong>In 2020, the gross mortality rate of ESLD stood at 30.08 cases per 100,000 individuals. A higher age-standardized ESLD mortality rate was observed in males and rural populations in comparison to their female and urban counterparts, respectively. Noticeably, the highest mortality rates associated with liver cancer and cirrhosis were reported in South and Southwest China, respectively. A positive correlation was noticed between age-specific ESLD mortality rates and advancing age. Interestingly, an annual decrease in the ESLD mortality rate was observed from 2008 to 2020. In urban contexts, the AAPC of cirrhosis was noted to be higher than that of liver cancer.</p><p><strong>Conclusions: </strong>The mortality rate associated with ESLDs in China decreased between 2008 and 2020. Nevertheless, the death burden attributable to ESLD continues to be alarmingly high. Future initiatives should prioritize the reduction of ESLD mortality in particular populations: males, elderly individuals, and those residing in rural regions of South and Southwest China. The emphasis of future interventions should be placed on antiviral therapy for adults diagnosed with viral hepatitis, and on the prevention of hepatitis B virus (HBV) infection across all demographics.</p>","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 30","pages":"657-663"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/67/0b/ccdcw-5-30-657.PMC10427498.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10403503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Reported Cases and Deaths of National Notifiable Infectious Diseases - China, March 2023. 2023年3月中国国家法定传染病报告病例数和死亡人数
China CDC Weekly Pub Date : 2023-07-28 DOI: 10.46234/ccdcw2023.082
{"title":"Reported Cases and Deaths of National Notifiable Infectious Diseases - China, March 2023.","authors":"","doi":"10.46234/ccdcw2023.082","DOIUrl":"https://doi.org/10.46234/ccdcw2023.082","url":null,"abstract":"","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 30","pages":"678-679"},"PeriodicalIF":0.0,"publicationDate":"2023-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/76/7c/ccdcw-5-30-678.PMC10427494.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10078141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Evaluating the Applicability and Health Benefits of the Graded Heat Health Risk Early Warning Model - Jinan City, Shandong Province, China, 2022. 热健康风险分级预警模型的适用性及健康效益评价[j] .山东济南,中国,2022。
China CDC Weekly Pub Date : 2023-07-21 DOI: 10.46234/ccdcw2023.123
Chen Chen, Jing Liu, Menghan Wang, Liangliang Cui, Tiantian Li
{"title":"Evaluating the Applicability and Health Benefits of the Graded Heat Health Risk Early Warning Model - Jinan City, Shandong Province, China, 2022.","authors":"Chen Chen,&nbsp;Jing Liu,&nbsp;Menghan Wang,&nbsp;Liangliang Cui,&nbsp;Tiantian Li","doi":"10.46234/ccdcw2023.123","DOIUrl":"https://doi.org/10.46234/ccdcw2023.123","url":null,"abstract":"<p><strong>What is already known about this topic?: </strong>The heat health early warning model serves as an effective strategy for reducing health risks related to heatwaves and improving population adaptability. Several high-income countries have taken the lead in conducting research and implementing measures aimed at safeguarding their populations.</p><p><strong>What is added by this report?: </strong>The graded heat health risk early warning model (GHREWM) in Jinan City has demonstrated efficacy in safeguarding males, females, individuals aged above 75 years, and those with cardiopulmonary diseases. During the summer of 2022, the warning stage of GHREWM contributed to the prevention of 10.9 deaths per million individuals, concurrently averting health-related economic losses estimated at approximately 227 million Chinese Yuan (CNY).</p><p><strong>What are the implications for public health practice?: </strong>The GHREWM has the potential to enhance cities' adaptability to climate change. It is crucial to incorporate additional adverse health endpoint data in the development of early warning models, as this will improve their applicability and protective efficacy.</p>","PeriodicalId":9867,"journal":{"name":"China CDC Weekly","volume":"5 29","pages":"642-646"},"PeriodicalIF":0.0,"publicationDate":"2023-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/34/16/ccdcw-5-29-642.PMC10388179.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10283193","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
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