Evidence map›Paper›PMID 25859151›Full record

ArticleTropical medicine and health2015

Assessment of Climate-sensitive Infectious Diseases in the Federated States of Micronesia.

Lachlan McIver, Masahiro Hashizume, Ho Kim, Yasushi Honda, Moses Pretrick, Steven Iddings, Boris Pavlin

Open access · bronzeAbstract read
In one paragraph

Article in Tropical medicine and health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 3 pooled it
1.1field-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

11 citing papers in PubMed, 3 syntheses or guidelines pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. Article
  8. Temperature Variability and Gastrointestinal Infections: A Review of Impacts and Future Perspectives.International journal of environmental research and public health · 2018
    Review
  9. Review
  10. Article
  11. 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

7 authors at 5 institutions in 4 countries.

Lachlan McIverNational Centre for Epidemiology and Population Health, Australian National University , Canberra, Australia.
Masahiro HashizumeInstitute of Tropical Medicine, Nagasaki University , 1-12-4 Sakamoto, Nagasaki 852-8523 Japan.
Ho KimGraduate School of Public Health, Seoul National University , Building 221, 1 Gwanak-ro, Gwanak-gu, Seoul, Korea 151-742.
Yasushi HondaUniversity of Tsukuba , 1-1-1 Tennodai, Tsukuba, Ibaraki 305-0006, Japan.
Moses PretrickDepartment of Health and Social Affairs , P.O. Box PS 70 Palikir, Pohnpei 96941, Federated States of Micronesia.
Steven IddingsWorld Health Organization , Sankat Chak Tomouk, Khan Daun Penh, Phnom Penh, Cambodia.
Boris PavlinWorld Health Organization , 4th Floor, Aopi Centre, Waigani Drive, Port Moresby, Papua New Guinea.
World Health Organization - Pakistan · PKAustralian National University · AUNagasaki University · JPSeoul National University · KRUniversity of Tsukuba · JP

Funding

World Health Organization 001
6 · The paper itself

Abstract

backgroundThe health impacts of climate change are an issue of growing concern in the Pacific region. Prior to 2010, no formal, structured, evidence-based approach had been used to identify the most significant health risks posed by climate change in Pacific island countries. During 2010 and 2011, the World Health Organization supported the Federated States of Micronesia (FSM) in performing a climate change and health vulnerability and adaptation assessment. This paper summarizes the priority climate-sensitive health risks in FSM, with a focus on diarrheal disease, its link with climatic variables and the implications of climate change.

methodsThe vulnerability and adaptation assessment process included a review of the literature, extensive stakeholder consultations, ranking of climate-sensitive health risks, and analysis of the available long-term data on climate and climate-sensitive infectious diseases in FSM, which involved examination of health information data from the four state hospitals in FSM between 2000 and 2010; along with each state's rainfall, temperature and El Niño-Southern Oscillation data. Generalized linear Poisson regression models were used to demonstrate associations between monthly climate variables and cases of climate-sensitive diseases at differing temporal lags.

resultsInfectious diseases were among the highest priority climate-sensitive health risks identified in FSM, particularly diarrheal diseases, vector-borne diseases and leptospirosis. Correlation with climate data demonstrated significant associations between monthly maximum temperature and monthly outpatient cases of diarrheal disease in Pohnpei and Kosrae at a lag of one month and 0 to 3 months, respectively; no such associations were observed in Chuuk or Yap. Significant correlations between disease incidence and El Niño-Southern Oscillation cycles were demonstrated in Kosrae state.

conclusionsAnalysis of the available data demonstrated significant associations between climate variables and climate-sensitive infectious diseases. This information should prove useful in implementing health system and community adaptation strategies to avoid the most serious impacts of climate change on health in FSM.

Indexed as

climateFederated States of Micronesiainfectious diseases

Identifiers

PMID25859151
PMCPMC4361343
OpenAlexW1970963226

What OpenQuestion holds

Textmetadata
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.