PedMap: a pediatric diseases map generated from clinical big data from Hangzhou, China

Li, Haomin; Yu, Gang; Dong, Chengyan; Jia, Zheng; An, Jiye; Duan, Huilong; Shu, Qiang

doi:10.1038/s41598-019-54439-w

Cited by 12 publications

(16 citation statements)

References 25 publications

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“…In this study the pediatric malaria weight of malaria was 51.2 %. In 2015 malaria was responsible for 45 % of outpatient visits and 56 % of pediatric admissions in Mozambique [2] consistency with these results. A study in Manhiça, a rural area in the south of Mozambique in 2008 [22] indicated 30.5 % had malaria, lower than the results of the present study and, this can be related to environmental conditions since the south of Mozambique is more arid.…”

Section: Malaria Risk Mapping I Analytical Hierarchical Process and C...supporting

confidence: 78%

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Pediatric Malaria Incidence and Risk Mapping With and Without Clinical Data in Sussundenga Municipality, Mozambique

Ferrão¹,

Mendes²,

Tungadza³

et al. 2021

Preprint

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BackgroundMalaria is a parasitic borne disease that affects red blood cells. The disease is preventable, detectable and treatable and more common in poor resource settings. It causes socioeconomic impacts, representing a large burden on the revenue of countries where it is endemic. Malaria is undoubtedly one of the main public health concerns impacting on families and the economy in Mozambique. Although the entire population of Mozambique is at risk of malaria, children and pregnant women have higher risk owing to lower immunity. Age category plays a significant important role in malaria occurrence and can affect the course and progression of the disease and correct treatment. Very few studies in pediatric malaria exists in Mozambique and the existing uses a simplistic and coarse grouping. Malaria risk is rarely uniform, whether considering households in a village, villages in a district or districts in a country. The knowledge of malaria pediatric incidence and, the need to evaluate the local heterogeneity by generating malaria risk maps can improve the understanding of pediatric malaria being the objective of this study. Materials and MethodsA retrospective study was conducted using existing malaria positive data from 2018 to 2019 at Rural Sussundenga Hospital (RSH) in Sussundenga municipality. Attributable factor of the disease and incidence were calculated. Proportion of gender, age category and location were tested using G test. For malaria risk mapping, ten malaria factors (anthropic, sociodemographic, climatic and clinic) were used to produce two maps one using malaria incidence and other without. Bioclimatic, Diva GIS 7.4.0 and, Landsat 8 image were used to produce the map.Results and conclusionThe findings revealed that of the, 42,248 patients who visited the local hospital f, 51.2 % tested positive for malaria with an incidence of 45.7 per 100 persons. There is a difference between residential areas in malaria incidence, with both maps showing malaria risk in Nhamazara, Nhamarenza and Unidade communities. This implies that malaria high risk areas seem to be located in high populated areas and areas close to water bodies. Relevant information is provided for effective planning in malaria intervention.

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Section: Malaria Risk Mapping I Analytical Hierarchical Process and C...supporting

confidence: 78%

“…In Southern Africa the malaria decrease was between 50 to 91 %. In Mozambique the reduction is slow and, between 2015 and 2018, cases fall only by 14 % [2,3].…”

Section: Introductionmentioning

confidence: 99%

Pediatric Malaria Incidence and Risk Mapping With and Without Clinical Data in Sussundenga Municipality, Mozambique

Ferrão¹,

Mendes²,

Tungadza³

et al. 2021

Preprint

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“…Recent work on a pediatric map of Hangzhou also found that AURI was the top disease discussed in all the outpatient visits they considered. However, the next most popular category of diseases in their study was common symptoms, such as fever, abdominal pain, and vomiting, which was distinct from the pattern we found in the online health service [ 38 ]. Internet hospitals provide a way to efficiently and conveniently acquire knowledge about children’s growth and development, relieving parents’ anxiety.…”

Section: Discussionmentioning

confidence: 98%

Characteristics of Online Health Care Services From China’s Largest Online Medical Platform: Cross-sectional Survey Study

Jiang¹,

Xie²,

Tang³

et al. 2021

J Med Internet Res

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Background Internet hospitals in China are in great demand due to limited and unevenly distributed health care resources, lack of family doctors, increased burdens of chronic diseases, and rapid growth of the aged population. The COVID-19 epidemic catalyzed the expansion of online health care services. In recent years, internet hospitals have been rapidly developed. Ping An Good Doctor is the largest, national online medical entry point in China and is a widely used platform providing online health care services. Objective This study aims to give a comprehensive description of the characteristics of the online consultations and inquisitions in Ping An Good Doctor. The analyses tried to answer the following questions: (1) What are the characteristics of the consultations in Ping An Good Doctor in terms of department and disease profiles? (2) Who uses the online health services most frequently? and (3) How is the user experience of the online consultations of Ping An Good Doctor? Methods A total of 35.3 million consultations and inquisitions over the course of 1 year were analyzed with respect to the distributions of departments and diseases, user profiles, and consulting behaviors. Results The geographical distribution of the usage of Ping An Good Doctor showed that Shandong (18.4%), Yunnan (15.6%), Shaanxi (7.2%), and Guangdong (5.5%) were the provinces that used it the most; they accounted for 46.6% of the total consultations and inquisitions. In terms of department distribution, we found that gynecology and obstetrics (19.2%), dermatology (17.0%), and pediatrics (14.4%) were the top three departments in Ping An Good Doctor. The disease distribution analysis showed that, except for nondisease-specific consultations, acute upper respiratory infection (AURI) (4.1%), pregnancy (2.8%), and dermatitis (2.4%) were the most frequently consulted diseases. In terms of user profiles, females (60.4%) from 19 to 35 years of age were most likely to seek consultations online, in general. The user behavior analyses showed that the peak times of day for online consultations occurred at 10 AM, 3 PM, and 9 PM. Regarding user experience, 93.0% of users gave full marks following their consultations. For some disease-related health problems, such as AURI, dermatitis, and eczema, the feedback scores were above average. Conclusions The prevalence of internet hospitals, such as Ping An Good Doctor, illustrated the great demand for online health care services that can go beyond geographical limitations. Our analyses showed that nondisease-specific issues and moderate health problems were much more frequently consulted about than severe clinical conditions. This indicated that internet hospitals played the role of the family doctor, which helped to relieve the stress placed on offline hospitals and facilitated people’s lives. In addition, good user experiences, especially regarding disease-related inquisitions, suggested that online health services can help solve health problems. With support from the government and acceptance by the public, online health care services could develop at a fast pace and greatly benefit people’s daily lives.

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“…Childhood cancer is a rare disease. Cancer does not fall into the top 100 of the most-reported paediatric diseases encountered across outpatient visits in a children's hospital (1). Despite being rare, childhood cancer remains a major public health issue in Europe (2).…”

Section: Introductionmentioning

confidence: 99%

“…Series of population-based EUROCARE-5 studies demonstrate that survival rates of childhood cancer in Lithuania are 10-20% lower than the European mean (4)(5)(6). Poorer outcome indicators were related to the inferior health expenditure in the country (below 2,000 USD per capita 1 ) and restricted access to international funding aimed at supporting research activities and collaboration (7). Incomplete cancer registration could partially contribute to inferior survival estimates (8).…”

Section: Introductionmentioning

confidence: 99%

Improvement in childhood cancer survival in Lithuania over three decades

Rascon¹,

Smailytė²

2020

AML

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Background. Population-based EUROCARE-5 studies demonstrated that childhood cancer survival rates in Lithuania were 10–20% lower than the European mean. We aimed to analyse the change in the outcome of treatment of paediatric malignancies in Lithuania over 30 years. Methods. A single-centre retrospective analysis of children below 18 years of age treated for cancer at Vilnius University Hospital Santaros Klinikos between 1982 and 2011 was carried out. The minimal requirement of 5-year follow-up after diagnosis was specified for survival estimation. The vital status was assessed using data from the population-based Lithuanian Cancer Registry. To evaluate changes over time, the entire cohort was split into three groups according to the time of diagnosis: 1982–1991, 1992–2001, and 2002–2011. Results. A total of 1268 children met the inclusion criteria. The shortest median follow-up was 8.9 (IQR 6.4–11.5) years for patients treated in the third decade. The 5-year overall survival of the entire cohort increased from 37.3% (95% CI 30.2–44.3) in 1982–1991 to 70.7% (95% CI 66.4–74.1) in 2002–2011 (p < 0.0001). The same trend was evident when calculated separately for leukaemia (p < 0.0001), lymphoma (p < 0.0005), and solid tumours (p < 0.004). The percentage of cure rose from zero in the early years of the period analysed to 80% in 2010 and 2011. The improvement in the treatment outcome was attributable to the reduction of treatment-related mortality from 45.8% in 1982–1991 to 12.4% in 2002–2011 and disease recurrence from 30.4% to 19.6% for the same periods, respectively. Conclusions. Significant progress in the cure rate of children treated for cancer at our institution was observed over 30 years. Collaborative national and international clinical and research efforts are crucial to ensure further advances in care and cure.

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PedMap: a pediatric diseases map generated from clinical big data from Hangzhou, China

Cited by 12 publications

References 25 publications

Pediatric Malaria Incidence and Risk Mapping With and Without Clinical Data in Sussundenga Municipality, Mozambique

Pediatric Malaria Incidence and Risk Mapping With and Without Clinical Data in Sussundenga Municipality, Mozambique

Characteristics of Online Health Care Services From China’s Largest Online Medical Platform: Cross-sectional Survey Study

Improvement in childhood cancer survival in Lithuania over three decades

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