Evidence map›Paper›PMID 32525905›Full record

ArticlePloS one2020

Relationships between traditional larval indices and meteorological factors with the adult density of Aedes albopictus captured by BG-mosquito trap.

Jin-Na Wang, Juan Hou, Jian-Yue Zhong, Guo-Ping Cao, Zhang-You Yu, Yu-Yan Wu, Tian-Qi Li, Qin-Mei Liu, Zhen-Yu Gong

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Laboratory Evaluation of Synthetic Attractants forJournal of arthropod-borne diseases · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Mosquito Attractants.Journal of chemical ecology · 2021
    Review
  12. Yellow fever in Asia-a risk analysis.Journal of travel medicine · 2021
    Article
  13. Mosquito Vector Production across Socio-Economic Divides in Baton Rouge, Louisiana.International journal of environmental research and public health · 2021
    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

9 authors.

Jin-Na WangZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Juan HouZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Jian-Yue ZhongQuzhou Center for Disease Control and Prevention, Quzhou, China.
Guo-Ping CaoQuzhou Center for Disease Control and Prevention, Quzhou, China.
Zhang-You YuQuzhou Center for Disease Control and Prevention, Quzhou, China.
Yu-Yan WuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Tian-Qi LiZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Qin-Mei LiuZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.
Zhen-Yu GongZhejiang Provincial Center for Disease Control and Prevention, Hangzhou, China.ORCID 0000-0001-9550-7370

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesLarval indices have been used for Ae. albopictus surveillance for many years, while there is limited use in assessing dengue transmission risk and adult mosquito emergence. This study is aimed to explore the relationships between larval indices and the Ae. albopictus density captured by BG-mosquito trap (BG-trap) method, with considering the meteorological factors.

methodsData on larval density, adult mosquito density and meteorology factors were collected in an entomological survey carried out in Quzhou City, Zhejiang Province of China in 2018. The Spearman's rank correlation and Pearson correlation were used for the analysis on the correlation of density indices. Generalized additive models were established to analyze the influencing factors of mosquito density.

resultsBreteau index (BI), House index (HI) and Container index (CI) were highly correlated with each other (r>0.7, p<0.05). The Ae. albopictus density was significantly correlated with CI (rs = 0.260, p<0.05), CI pre one week (rs = 0.259, p<0.05), and CI pre three weeks (rs = 0.329, p<0.05). BI was correlated with female Ae. albopictus density pre 4 weeks (r = -0.299, p<0.05). Female Ae. albopictus density was correlated with CI pre 3 weeks (rs = 0.303, p<0.05). The influencing factors of BI were average wind speed pre 1 week, average temperature and female Ae. albopictus density pre 4 weeks. The influencing factors of CI were average humidity pre 3 weeks and average temperature. The influencing factors of HI were average temperature and precipitation pre 4 weeks. The influencing factor of Ae. albopictus density and female Ae. albopictus density was temperature.

conclusionsThe adult Ae. albopictus density had low correlation with certain larval indices. Some of the meteorology factors played significant roles in the density of adult Ae. albopictus and larva with or without a time lag.

Indexed as

BiomassClimateAedesAnimal DistributionAnimalsChinaLife Cycle StagesModels, StatisticalMosquito VectorsReproduction

Identifiers

PMID32525905
PMCPMC7289416

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.