Evidence map›Paper›PMID 33409647›Full record

ArticleInternational journal of biometeorology2022

Spatiotemporal dynamics of urban climate during the wet-dry season transition in a tropical African city.

Peter Kabano, Angela Harris, Sarah Lindley

Open access · hybridAbstract read
In one paragraph

Article in International journal of biometeorology, 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
0.6field-weighted citation impact, top 37% 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, 16 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

3 authors at 1 institution in 2 countries.

Peter KabanoDepartment of Geography, School of Environment, Education & Development, The University of Manchester, Manchester, UK. ptkabano@gmail.com.ORCID https://orcid.org/0000-0001-8519-0760
Angela HarrisDepartment of Geography, School of Environment, Education & Development, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0002-2184-0274
Sarah LindleyDepartment of Geography, School of Environment, Education & Development, The University of Manchester, Manchester, UK.ORCID https://orcid.org/0000-0003-0581-4284
University of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Urban Heat Island effect has been the focus of several studies concerned with the effects of urbanisation on human and ecosystem health. Humidity, however, remains much less studied, although it is useful for characterising human thermal comfort, the Urban Dryness Island effect and vegetation development. Furthermore, variability in microscale climate due to differences in land cover is increasingly crucial for understanding urbanisation effects on the health and wellbeing of living organisms. We used regression analysis to investigate the spatial and temporal dynamics of temperature, humidity and heat index in the tropical African city of Kampala, Uganda. We gathered data during the wet to dry season transition from 22 locations that represent the wide range of urban morphological differences in Kampala. Our analysis showed that the advancement of the dry season increased variability of climate in Kampala and that the most built-up locations experienced the most profound seasonal changes in climate. This work stresses the need to account for water availability and humidity to improve our understanding of human and ecosystem health in cities.

Indexed as

EcosystemHot TemperatureCitiesHumansSeasonsTropical ClimateUgandaHeat indexHumidityRegression modelsSeasonsSurface moistureTemperatureTropicsUrban climate

Identifiers

PMID33409647
PMCPMC8807437
OpenAlexW3120027164

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.