Evidence map›Paper›PMID 29107977›Full record

ArticlePloS one2017

Temperature and heat in informal settlements in Nairobi.

Anna A Scott, Herbert Misiani, Jerrim Okoth, Asha Jordan, Julia Gohlke, Gilbert Ouma, Julie Arrighi, Ben F Zaitchik, Eddie Jjemba, Safia Verjee and 1 more

Abstract readValidation Study
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
–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

25 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Characteristics of Households' Vulnerability to Extreme Heat: An Analytical Cross-Sectional Study from India.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Characterization of heat index experienced by individuals residing in urban and rural settings.Journal of exposure science & environmental epidemiology · 2021
    Article
  18. Article
  19. Article
  20. 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

11 authors.

Anna A ScottDepartment of Earth and Planetary Science, Johns Hopkins University, Baltimore, Maryland, United States of America.ORCID http://orcid.org/0000-0001-9957-6322
Herbert MisianiIGAD Climate Prediction and Applications Centre (ICPAC), Intergovernmental Authority on Development (IGAD), Nairobi, Kenya.
Jerrim OkothDepartment of Meteorology, University of Nairobi, Nairobi, Kenya.
Asha JordanDepartment of Earth and Planetary Science, Johns Hopkins University, Baltimore, Maryland, United States of America.
Julia GohlkeDepartment of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Virginia Polytechnic Institute and State University, Blacksburg, Virginia, United States of America.
Gilbert OumaDepartment of Meteorology, University of Nairobi, Nairobi, Kenya.
Julie ArrighiRed Cross Red Crescent Climate Centre, The Hague, Netherlands.
Ben F ZaitchikDepartment of Earth and Planetary Science, Johns Hopkins University, Baltimore, Maryland, United States of America.
Eddie JjembaRed Cross Red Crescent Climate Centre, The Hague, Netherlands.
Safia VerjeeKenya Red Cross Society, Nairobi, Kenya.
Darryn W WaughDepartment of Earth and Planetary Science, Johns Hopkins University, Baltimore, Maryland, United States of America.

Funding

Environmental exposures across urban and rural communities in the Deep SouthR01ES023029 · NIEHS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI GOHLKE, JULIA M · 2015 to 2019
$1.7M
NIEHS NIH HHS R01 ES023029
6 · The paper itself

Abstract

Nairobi, Kenya exhibits a wide variety of micro-climates and heterogeneous surfaces. Paved roads and high-rise buildings interspersed with low vegetation typify the central business district, while large neighborhoods of informal settlements or "slums" are characterized by dense, tin housing, little vegetation, and limited access to public utilities and services. To investigate how heat varies within Nairobi, we deployed a high density observation network in 2015/2016 to examine summertime temperature and humidity. We show how temperature, humidity and heat index differ in several informal settlements, including in Kibera, the largest slum neighborhood in Africa, and find that temperature and a thermal comfort index known colloquially as the heat index regularly exceed measurements at the Dagoretti observation station by several degrees Celsius. These temperatures are within the range of temperatures previously associated with mortality increases of several percent in youth and elderly populations in informal settlements. We relate these changes to surface properties such as satellite-derived albedo, vegetation indices, and elevation.

Indexed as

Hot TemperatureMicroclimateResidence CharacteristicsTemperatureHealth StatusKenyaUrban Population

Identifiers

PMID29107977
PMCPMC5673164

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.