Evidence map›Paper›PMID 35188405›Full record

ArticleEnvironmental health perspectives2022

Projecting Temperature-Attributable Mortality and Hospital Admissions due to Enteric Infections in the Philippines.

Paul L C Chua, Chris Fook Sheng Ng, Lina Madaniyazi, Xerxes Seposo, Miguel Antonio Salazar, Veronika Huber, Masahiro Hashizume

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Article in Environmental health perspectives, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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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

9 citing papers in PubMed.

  1. Review
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  3. Article
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  5. Heat Exposure among Adult Women in Rural Tamil Nadu, India.Environmental science & technology · 2024
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  7. 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

7 authors.

Paul L C ChuaDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0001-7778-0189
Chris Fook Sheng NgDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.
Lina MadaniyaziDepartment of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.ORCID 0000-0001-9067-2422
Xerxes SeposoDepartment of Global Health, School of Tropical Medicine and Global Health, Nagasaki University, Nagasaki, Japan.ORCID 0000-0003-0339-8213
Miguel Antonio SalazarAlliance for Improving Health Outcomes, Inc., Quezon City, Philippines.ORCID 0000-0003-1129-6508
Veronika HuberDepartment of Physical, Chemical and Natural Systems, Universidad Pablo de Olavide, Sevilla, Spain.ORCID 0000-0001-9633-2752
Masahiro HashizumeDepartment of Global Health Policy, Graduate School of Medicine, The University of Tokyo, Tokyo, Japan.ORCID 0000-0003-4720-1750

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEnteric infections cause significant deaths, and global projection studies suggest that mortality from enteric infections will increase in the future with warmer climate. However, a major limitation of these projection studies is the use of risk estimates derived from nonmortality data to project excess enteric infection mortality associated with temperature because of the lack of studies that used actual deaths.

objectiveWe quantified the associations of daily temperature with both mortality and hospital admissions due to enteric infections in the Philippines. These associations were applied to projections under various climate and population change scenarios.

methodsWe modeled nonlinear temperature associations of mortality and hospital admissions due to enteric infections in 17 administrative regions of the Philippines using a two-stage time-series approach. First, we quantified nonlinear temperature associations of enteric infections by fitting generalized linear models with distributed lag nonlinear models. Second, we combined regional estimates using a meta-regression model. We projected the excess future enteric infections due to nonoptimal temperatures using regional temperature-enteric infection associations under various combinations of climate change scenarios according to representative concentration pathways (RCPs) and population change scenarios according to shared socioeconomic pathways (SSPs) for 2010-2099.

resultsRegional estimates for mortality and hospital admissions were significantly heterogeneous and had varying shapes in association with temperature. Generally, mortality risks were greater in high temperatures, whereas hospital admission risks were greater in low temperatures. Temperature-attributable excess deaths in 2090-2099 were projected to increase over 2010-2019 by as little as 1.3% [95% empirical confidence intervals (eCI): DISCUSSION: In the Philippines, futures with hotter temperatures and high population growth may lead to a greater increase in temperature-related excess deaths than hospital admissions due to enteric infections. Our results highlight the need to strengthen existing primary health care interventions for diarrhea and support health adaptation policies to help reduce future enteric infections. https://doi.org/10.1289/EHP9324.

Indexed as

Climate ChangeHot TemperatureHospitalsHumansMortalityPhilippinesTemperature

Identifiers

PMID35188405
PMCPMC8860302

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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.