Evidence map›Paper›PMID 33124540›Full record

ArticleThe American journal of tropical medicine and hygiene2020

Nonlinear and Threshold Effect of Meteorological Factors on Japanese Encephalitis Transmission in Southwestern China.

Zhidong Liu, Yiwen Zhang, Michael Xiaoliang Tong, Ying Zhang, Jianjun Xiang, Qi Gao, Shuzi Wang, Shuyue Sun, Baofa Jiang, Peng Bi

Open access · bronzeAbstract read
In one paragraph

Article in The American journal of tropical medicine and hygiene, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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

10 authors at 5 institutions in 2 countries.

Zhidong Liu1Department of Personnel, Qilu Hospital of Shandong University, Jinan, People's Republic of China.
Yiwen Zhang2Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
Michael Xiaoliang Tong4School of Public Health, The University of Adelaide, Adelaide, Australia.
Ying Zhang5School of Public Health, China Studies Centre, The University of Sydney, Sydney, Australia.
Jianjun Xiang4School of Public Health, The University of Adelaide, Adelaide, Australia.
Qi Gao2Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
Shuzi Wang2Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
Shuyue Sun7National Meteorological Center, China Meteorological Administration, Beijing, People's Republic of China.
Baofa Jiang2Department of Epidemiology, School of Public Health, Cheeloo College of Medicine, Shandong University, Jinan, People's Republic of China.
Peng Bi4School of Public Health, The University of Adelaide, Adelaide, Australia.
Shandong University · CNUniversity of Adelaide · AUChina Meteorological Administration · CNQilu Hospital of Shandong University · CNUniversity of Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although previous studies have reported that meteorological factors might affect the risk of Japanese encephalitis (JE), the relationship between meteorological factors and JE remains unclear. This study aimed to evaluate the relationship between meteorological factors and JE and identify the threshold temperature. Daily meteorological data and JE surveillance data in Dazhou, Sichuan, were collected for the study period from 2005 to 2012 (restricting to May-October because of the seasonal distribution of JE). A distributed lag nonlinear model was used to analyze the lagged and cumulative effect of daily average temperature and daily rainfall on JE transmission. A total of 622 JE cases were reported over the study period. We found JE was positively associated with daily average temperature and daily rainfall with a 25-day lag and 30-day lag, respectively. The threshold value of the daily average temperature is 20°C. Each 5°C increase over the threshold would lead to a 13% (95% CI: 1-17.3%) increase in JE. Using 0 mm as the reference, a daily rainfall of 100 mm would lead to a 132% (95% CI: 73-311%) increase in the risk of JE. Japanese encephalitis is climate-sensitive; meteorological factors should be taken into account for the future prevention and control measure making, especially in a warm and rainy weather condition.

Indexed as

HumidityRainTemperatureAdolescentAdultChildChild, PreschoolChinaEncephalitis, JapaneseFemaleHumansMaleMeteorological ConceptsNonlinear Dynamics

Identifiers

PMID33124540
PMCPMC7695098
OpenAlexW3096104262

What OpenQuestion holds

Textmetadata
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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.