Evidence map›Paper›PMID 36258165›Full record

ArticleBMC infectious diseases2022

Spatiotemporally comparative analysis of three common infectious diseases in China during 2013-2015.

Yang Shao, Meifang Li, Jin Luo, Le Yu, Xia Li

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 35% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
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

5 authors at 3 institutions in 2 countries.

Yang Shao *School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, Jiangxi, People's Republic of China.
Meifang Li *School of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, Jiangxi, People's Republic of China.
Jin LuoSchool of Geography and Environment, Jiangxi Normal University, Nanchang, 330022, Jiangxi, People's Republic of China. Luojin@jxnu.edu.cn.
Le YuDepartment of Earth System Science, Ministry of Education Key Laboratory for Earth System Modeling, Institute for Global Change Studies, Tsinghua University, Beijing, 100084, China.
Xia LiSchool of Geographic Sciences, Key Lab of Geographic Information Science (Ministry of Education), East China Normal University, Shanghai, 200241, China.
Jiangxi Normal University · CNEast China Normal University · CNTsinghua University · CN

Funding

Graduate Innovation Fund from the Graduate School of Jiangxi Normal University YC2020-S150National Key R&D Program of China 2017YFA0604401National Natural Science Foundation of China 41461083National Natural Science Foundation of China 42001342
6 · The paper itself

Abstract

backgroundDengue fever (DF), influenza, and hand, foot, and mouth disease (HFMD) have had several various degrees of outbreaks in China since the 1900s, posing a serious threat to public health. Previous studies have found that these infectious diseases were often prevalent in the same areas and during the same periods in China.

methodsThis study combined traditional descriptive statistics and spatial scan statistic methods to analyze the spatiotemporal features of the epidemics of DF, influenza, and HFMD during 2013-2015 in mainland China at the provincial level.

resultsDF got an intensive outbreak in 2014, while influenza and HFMD were stable from 2013 to 2015. DF mostly occurred during August-November, influenza appeared during November-next March, and HFMD happened during April-November. The peaks of these diseases form a year-round sequence; Spatially, HFMD generally has a much higher incidence than influenza and DF and covers larger high-risk areas. The hotspots of influenza tend to move from North China to the southeast coast. The southeastern coastal regions are the high-incidence areas and the most significant hotspots of all three diseases.

conclusionsThis study suggested that the three diseases can form a year-round sequence in southern China, and the southeast coast of China is a particularly high-risk area for these diseases. These findings may have important implications for the local public health agency to allocate the prevention and control resources.

Indexed as

Communicable DiseasesHand, Foot and Mouth DiseaseInfluenza, HumanChinaHumansIncidenceSpatio-Temporal AnalysisDengue feverGeographic Information ScienceHand, foot, and mouth diseaseInfluenzaSpatial scan statisticSpatiotemporal distribution

Identifiers

PMID36258165
PMCPMC9580198
OpenAlexW4306704055

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.