Evidence map›Paper›PMID 35822109›Full record

ArticleFrontiers in epidemiology2022

Spatiotemporal patterns of diarrhea incidence in Ghana and the impact of meteorological and socio-demographic factors.

Ernest O Asare, Joshua L Warren, Virginia E Pitzer

Open access · diamondAbstract read
In one paragraph

Article in Frontiers in epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
1.7field-weighted citation impact, top 18% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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  7. Impact of dosing schedules on performance of rotavirus vaccines in Ghana.medRxiv : the preprint server for health sciences · 2024
    Article
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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

3 authors at 2 institutions in 1 country.

Ernest O AsareDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT USA.
Joshua L WarrenPublic Health Modeling Unit, Yale School of Public Health, Yale University, New Haven, CT USA.
Virginia E PitzerDepartment of Epidemiology of Microbial Diseases, Yale School of Public Health, Yale University, New Haven, CT USA.
Yale New Haven Health System · USYale University · US

Funding

Modeling the impact and cost-effectiveness of next-generation rotavirus vaccine strategies in low- and middle-income countriesR01AI112970 · NIAID · YALE UNIVERSITY · PI PITZER, VIRGINIA E · 2015 to 2024
$4.1M
NIAID NIH HHS R01 AI112970
6 · The paper itself

Abstract

Background: Diarrhea remains a significant public health problem and poses a considerable financial burden on Ghana's health insurance scheme. In order to prioritize district-level hotspots of diarrhea incidence for effective targeted interventions, it is important to understand the potential drivers of spatiotemporal patterns of diarrhea. We aimed to identify the spatiotemporal heterogeneity of diarrhea incidence in Ghana and explore how meteorological and socio-demographic factors influence the patterns. Methods: We used monthly district-level clinically diagnosed diarrhea data between 2012 and 2018 obtained from the Centre for Health Information and Management of the Ghana Health Services. We utilized a hierarchical Bayesian spatiotemporal modeling framework to evaluate potential associations between district-level monthly diarrhea incidence and meteorological variables (mean temperature, diurnal temperature range, surface water presence) and socio-demographic factors (population density, Gini index, District League Table score) in Ghana. In addition, we investigated whether these associations were consistent across the four agro-ecological zones. Results: There was considerable spatial heterogeneity in diarrhea patterns across the districts, with clusters of high diarrhea risk areas mostly found in the transition and savannah zones. The average monthly temporal patterns of diarrhea revealed a weak biannual seasonality with major and minor peaks in June and October, respectively, coinciding with the major and minor rainy seasons. We found a significant association between both meteorological and socio-demographic factors and diarrhea risk, but the strength and direction of associations differed across the four agro-ecological zones. Surface water presence demonstrated consistently positive, while diurnal temperature range and population density demonstrated consistently negative associations with diarrhea both overall and across the agro-ecological zones. Conclusions: Although overall diarrhea incidence is declining in Ghana, our results revealed high-risk districts that could benefit from district-specific tailored intervention strategies to improve control efforts. Ghana health sector policy-makers can use these results to assess the effectiveness of ongoing interventions at the district level and prioritize resource allocation for diarrhea control.

Indexed as

climate and diarrheadiarrhea and floodsdiarrhea in Ghanadiarrhea modelingdiarrhea patternssocio-demographic factors and diarrheaweather and diarrhea

Identifiers

PMID35822109
PMCPMC9272077
OpenAlexW4226029499

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.