Evidence map›Paper›PMID 29248024›Full record

ArticleEpidemiology and infection2018

Association between malaria incidence and meteorological factors: a multi-location study in China, 2005-2012.

J Xiang, A Hansen, Q Liu, M X Tong, X Liu, Y Sun, S Cameron, S Hanson-Easey, G S Han, C Williams and 2 more

Abstract read
In one paragraph

Article in Epidemiology and infection, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Impact of Global Climate-Change on Ecology ofIranian journal of public health · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Association Between Farming Activities andThe Malaysian journal of medical sciences : MJMS · 2020
    Article
  12. Spatial patterns of health vulnerability to heatwaves in Vietnam.International journal of biometeorology · 2020
    Article
  13. Review
  14. Review
  15. 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

12 authors.

J XiangSchool of Public Health, The University of Adelaide,Adelaide, South Australia 5005,Australia.
A HansenSchool of Public Health, The University of Adelaide,Adelaide, South Australia 5005,Australia.
Q LiuState Key Laboratory of Infectious Disease Prevention and Control,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention,Beijing 102206,China.
M X TongSchool of Public Health, The University of Adelaide,Adelaide, South Australia 5005,Australia.
X LiuState Key Laboratory of Infectious Disease Prevention and Control,Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention,Beijing 102206,China.
Y SunDepartment of Epidemiology,Anhui Medical University,Hefei, Anhui 230032,China.
S CameronSchool of Public Health, The University of Adelaide,Adelaide, South Australia 5005,Australia.
S Hanson-EaseySchool of Public Health, The University of Adelaide,Adelaide, South Australia 5005,Australia.
G S HanCommunications and Media Studies, School of Media, Film and Journalism, Monash University,Clayton, Victoria 3800,Australia.
C WilliamsSchool of Pharmacy and Medical Sciences, University of South Australia,Adelaide, South Australia 5001,Australia.
P WeinsteinSchool of Biological Sciences, The University of Adelaide,Adelaide, South Australia 5005,Australia.
P BiSchool of Public Health, The University of Adelaide,Adelaide, South Australia 5005,Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aims to investigate the climate-malaria associations in nine cities selected from malaria high-risk areas in China. Daily reports of malaria cases in Anhui, Henan, and Yunnan Provinces for 2005-2012 were obtained from the Chinese Center for Disease Control and Prevention. Generalized estimating equation models were used to quantify the city-specific climate-malaria associations. Multivariate random-effects meta-regression analyses were used to pool the city-specific effects. An inverted-U-shaped curve relationship was observed between temperatures, average relative humidity, and malaria. A 1 °C increase of maximum temperature (T max) resulted in 6·7% (95% CI 4·6-8·8%) to 15·8% (95% CI 14·1-17·4%) increase of malaria, with corresponding lags ranging from 7 to 45 days. For minimum temperature (T min), the effect estimates peaked at lag 0 to 40 days, ranging from 5·3% (95% CI 4·4-6·2%) to 17·9% (95% CI 15·6-20·1%). Malaria is more sensitive to T min in cool climates and T max in warm climates. The duration of lag effect in a cool climate zone is longer than that in a warm climate zone. Lagged effects did not vanish after an epidemic season but waned gradually in the following 2-3 warm seasons. A warming climate may potentially increase the risk of malaria resurgence in China.

Indexed as

Meteorological ConceptsChinaCitiesClimateHumansIncidenceMalariaMultivariate AnalysisSeasonsTemperatureClimate changemalariamosquitotemperatureweather

Identifiers

PMID29248024
PMCPMC9134552

What OpenQuestion holds

Textmetadata
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.