Evidence map›Paper›PMID 23195508›Full record

ArticleGlobal health action2012

A time series analysis of weather variability and all-cause mortality in the Kasena-Nankana Districts of Northern Ghana, 1995-2010.

Daniel K Azongo, Timothy Awine, George Wak, Fred N Binka, Abraham Rexford Oduro

Abstract read
In one paragraph

Article in Global health action, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 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

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3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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  8. Increasing global temperatures threaten gains in maternal and newborn health in Africa: A review of impacts and an adaptation framework.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2023
    Review
  9. Drought and Illness among Young Children in Uganda, 2009-2012.The American journal of tropical medicine and hygiene · 2020
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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

5 authors.

Daniel K AzongoNavrongo Health Research Centre, Ghana Health Service, Navrongo, Ghana. kdazongo@yahoo.com
Timothy Awine
George Wak
Fred N Binka
Abraham Rexford Oduro

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionClimate and weather variability can have significant health consequences of increased morbidity and mortality. However, today the impact of climate and weather variability, and consequentially, of climate change on population health in sub-Saharan Africa is not well understood. In this study, we assessed the association of daily temperature and precipitation with daily mortality by age and sex groups in Northern Ghana.

methodsWe analysed daily mortality and weather data from 1995 to 2010. We adopted a time-series Poisson regression approach to examine the short-term association of daily mean temperature and daily mean precipitation with daily mortality. We included time factors and daily lagged weather predictors and considered autocorrelation.

resultsFor all populations, a statistically significant association of mean daily temperature with mortality at lag days 0-1 was observed below and above the 25th (27.48°C) and 75th (30.68°C) percentiles (0.19%; 95% confidence interval CI: 0.05%, 0.21%) and (1.14%; 95% CI: 0.12%, 1.54%), respectively. We also observed a statistically significant association of mean daily temperature above 75th percentile at lag days 2-6 and lag days 7-13 (0.32%; 95% CI: 0.16%, 0.25%) and 0.31% [95% CI: 0.14%, 0.26%]), respectively. A 10 mm increase in precipitation was associated with a 1.71% (95% CI: 0.10%, 3.34.9%) increase in mortality for all ages and sex groups at lag days 2-6. Similar results were also observed at lag days 2-6 and 14-27 for males, 2.92% (95% CI: 0.80%, 5.09%) and 2.35% (95% CI: 0.28%, 4.45%).

conclusionShort-term weather variability is strongly associated with mortality in Northern Ghana. The associations appear to differ among different age and sex groups. The elderly and young children were found to be more susceptible to short-term temperature-related mortality. The association of precipitation with mortality is more pronounced at the short-term for all age and sex groups and in the medium short-term among males. Reducing exposure to extreme temperature, particularly among the elderly and young children, should reduce the number of daily deaths attributable to weather-related mortality.

Indexed as

MortalityWeatherAdolescentAdultAge FactorsChildChild, PreschoolFemaleGhanaHumansInfantMaleMiddle AgedPoisson DistributionRainSeasons

Identifiers

PMID23195508
PMCPMC3508691

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LicenceCC BY
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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.