Evidence map›Paper›PMID 32899041›Full record

ArticleMedicine2020

Epidemiological characteristics of dengue in mainland China from 1990 to 2019: A descriptive analysis.

Haixiong Lin, Xiaotong Wang, Zige Li, Kangju Li, Chunni Lin, Huijun Yang, Weiqin Yang, Xiaopeng Ye

Open access · goldAbstract read
In one paragraph

Article in Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
5.9field-weighted citation impact, top 3% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

20 citing papers in PubMed, 42 citations in OpenAlex.

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  5. Severe Organ Impairment Was Common in Elderly Individuals with Dengue in Guangdong, China.The American journal of tropical medicine and hygiene · 2024
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  11. The effect of temperature on dengue virus transmission byFrontiers in cellular and infection microbiology · 2023
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  15. Entomological Investigation and Detection of Dengue Virus Type 1 inFrontiers in cellular and infection microbiology · 2022
    Article
  16. Knockdown resistance mutations distribution and characteristics ofFrontiers in cellular and infection microbiology · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 2 institutions in 1 country.

Haixiong LinThe First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Xiaotong WangClinical Medical College of Acupuncture, Moxibustion and Rehabilitation, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Zige LiThe First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Kangju LiThe First School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Chunni LinSchool of Foreign Languages, Xinhua College of Sun Yat-sen University, Dongguan, People's Republic of China.
Huijun YangThe Six School of Clinical Medicine, Guangzhou University of Chinese Medicine, Guangzhou, People's Republic of China.
Weiqin YangThe Eighth Affiliated Hospital, Sun Yat-sen University, Shenzhen, People's Republic of China.
Xiaopeng YeShenzhen Bao'an Traditional Chinese Medicine Hospital Group, Guangzhou University of Chinese Medicine, Shenzhen, People's Republic of China.
Guangzhou University of Chinese Medicine · CNSun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the past 30 years, dengue has undergone dramatic changes in China every year. This study explores the epidemiological trend of dengue in China during this period to identify high-risk seasons, regions, ages, susceptible populations, and provide information for dengue prevention and control activities.Dengue data from 1990 to 2019 were derived from the Public Health Science Data Center, Web of Science, China National Knowledge Infrastructure, PubMed, and Centers for Disease Control and Prevention of the corresponding province. GraphPad Prism 7 was conducted to generate disease evolution maps, occupational heat maps, and monthly heat maps of dengue cases and deaths in mainland China and Guangdong Province. Excel 2016 was used to create a cyclone map of age and gender distribution. Powerpoint 2016 was performed to create geographic maps.From 1990 to 2019, the annual number of dengue cases showed an increasing trend and reaching a peak in 2014, with 46,864 dengue cases (incidence rate: 3.4582/100,000), mainly contributed by Guangdong Province (45,189 cases, accounting for 96.43%). Dengue pandemics occurred every 4 to 6 years. The prevalence of dengue fever was Autumn, which was generally prevalent from June to December and reached its peak from September to November. The provinces reporting dengue cases each year have expanded from the southeastern coastal region to the southwest, central, northeast, and northwest regions, and the provinces with a high incidence were Guangdong, Guangxi, Yunnan, Fujian, and Zhejiang. People aged 25 to 44 years were more susceptible to dengue virus infection. And most of them were male patients. Dengue mainly occurs in the following groups: students, business service staffs, workers, farmers, retired staffs, housewives, and the unemployed. Four provinces reported deaths from dengue, namely Guangdong Province, Zhejiang Province, Henan Province, and Hunan Province.The dengue fever epidemic occurred every 4 to 6 years, mostly in autumn. The endemic areas were Guangdong, Guangxi, Yunnan, Fujian, and Zhejiang provinces. People aged 25 to 44 years, men, students, business service staffs, workers, farmers, retired staffs, housewives, and the unemployed were more susceptible to dengue fever. These findings help to develop targeted public health prevention and control measures.

Indexed as

AdolescentAdultAgedAged, 80 and overChildChild, PreschoolChinaDatabases, FactualDengueFemaleGeography, MedicalHumansInfantMaleMiddle AgedYoung Adult

Identifiers

PMID32899041
PMCPMC7478525
OpenAlexW3082282037

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.