Evidence map›Paper›PMID 35317835›Full record

ArticleMalaria journal2022

Do socio-demographic factors modify the effect of weather on malaria in Kanungu District, Uganda?

Katarina Ost, Lea Berrang-Ford, Katherine Bishop-Williams, Margot Charette, Sherilee L Harper, Shuaib Lwasa, Didacus B Namanya, Yi Huang, Aaron B Katz, Bwindi Community Hospital and 2 more

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Malaria journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 25% 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, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors at 8 institutions in 4 countries.

Katarina OstSchool of Epidemiology and Public Health, University of Ottawa, Ottawa, Canada. ostk91@gmail.com.ORCID http://orcid.org/0000-0001-9688-4979
Lea Berrang-FordPriestley International Centre for Climate, University of Leeds, Leeds, UK.
Katherine Bishop-WilliamsSchool of Interdisciplinary Science, McMaster University, Hamilton, Canada.
Margot CharetteDepartment of Geography, McGill University, Montreal, Canada.
Sherilee L HarperSchool of Public Health, University of Alberta, Edmonton, Canada.
Shuaib LwasaDepartment of Geography, Geo-Informatics and Climatic Sciences, School of Forestry, Environmental and Geographical Sciences, College of Agricultural and Environmental Sciences, Makerere University, Kampala, Uganda.
Didacus B NamanyaIndigenous Health Adaptation To Climate Change, Research Team, Edmonton, Canada.
Yi HuangDepartment of Atmospheric and Ocean Sciences, McGill University, Montreal, Canada.
Aaron B KatzDepartment of Health Services, University of Washington, Seattle, USA.
Bwindi Community Hospital
IHACC Research Team
Kristie EbiCenter for Health and the Global Environment, University of Washington, Seattle, USA.
McGill University · CAUniversity of Washington · USMakerere University · UGMcMaster University · CAUganda Martyrs University · UGUniversity of Alberta · CAUniversity of Leeds · GBUniversity of Ottawa · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere is concern in the international community regarding the influence of climate change on weather variables and seasonality that, in part, determine the rates of malaria. This study examined the role of sociodemographic variables in modifying the association between temperature and malaria in Kanungu District (Southwest Uganda).

methodsHospital admissions data from Bwindi Community Hospital were combined with meteorological satellite data from 2011 to 2014. Descriptive statistics were used to describe the distribution of malaria admissions by age, sex, and ethnicity (i.e. Bakiga and Indigenous Batwa). To examine how sociodemographic variables modified the association between temperature and malaria admissions, this study used negative binomial regression stratified by age, sex, and ethnicity, and negative binomial regression models that examined interactions between temperature and age, sex, and ethnicity.

resultsMalaria admission incidence was 1.99 times greater among Batwa than Bakiga in hot temperature quartiles compared to cooler temperature quartiles, and that 6-12 year old children had a higher magnitude of association of malaria admissions with temperature compared to the reference category of 0-5 years old (IRR = 2.07 (1.40, 3.07)). DISCUSSION: Results indicate that socio-demographic variables may modify the association between temperature and malaria. In some cases, such as age, the weather-malaria association in sub-populations with the highest incidence of malaria in standard models differed from those most sensitive to temperature as found in these stratified models.

conclusionThe effect modification approach used herein can be used to improve understanding of how changes in weather resulting from climate change might shift social gradients in health.

Indexed as

MalariaWeatherChildChild, PreschoolClimate ChangeHumansIncidenceInfantInfant, NewbornUgandaAgeBakigaBatwaClimate changeIndigenousMalariaMeteorologicalSexSociodemographic modifiersUgandaWeather

Identifiers

PMID35317835
PMCPMC8939205
OpenAlexW4220829738

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.