Evidence map›Paper›PMID 36006264›Full record

ArticleTropical medicine and infectious disease2022

Optimal Validated Multi-Factorial Climate Change Risk Assessment for Adaptation Planning and Evaluation of Infectious Disease: A Case Study of Dengue Hemorrhagic Fever in Indonesia.

Lia Faridah, Djoko Santoso Abi Suroso, Muhammad Suhardjono Fitriyanto, Clarisa Dity Andari, Isnan Fauzi, Yonatan Kurniawan, Kozo Watanabe

Abstract read
In one paragraph

Article in Tropical medicine and infectious disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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. Article
  2. 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.

Lia FaridahParasitology Laboratory, Biomedical Laboratory Group, Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, Indonesia.
Djoko Santoso Abi SurosoClimate Change Center, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Muhammad Suhardjono FitriyantoClimate Change Center, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Clarisa Dity AndariParasitology Laboratory, Biomedical Laboratory Group, Faculty of Medicine, Universitas Padjadjaran, Bandung 40161, Indonesia.
Isnan FauziClimate Change Center, Institut Teknologi Bandung, Bandung 40132, Indonesia.ORCID 0000-0002-7513-3452
Yonatan KurniawanClimate Change Center, Institut Teknologi Bandung, Bandung 40132, Indonesia.
Kozo WatanabeCenter for Marine Environmental Studies, Ehime University, Matsuyama 790-8577, Japan.

Funding

the Japan Society for the Promotion of Science (JSPS) Core-to-Core Program B Asia-Africa Science Platforms (JPJSCCB20210006), and the Ministry of Education, Culture, Sports, Science and Tech-nology, Japan (MEXT) to a project on Joint Usage/Research Center JPJSCCB20210006
6 · The paper itself

Abstract

(1) Background: This paper will present an elaboration of the risk assessment methodology by Deutsche Gesellschaft für Internationale Zusammenarbeit GmbH (GIZ), Eurac Research and United Nations University Institute for Environment and Human Security (UNU-EHS) for the assessment of dengue. (2) Methods: We validate the risk assessment model by best-fitting it with the number of dengue cases per province using the least-square fitting method. Seven out of thirty-four provinces in Indonesia were chosen (North Sumatra, Jakarta Capital, West Java, Central Java, East Java, Bali and East Kalimantan). (3) Results: A risk assessment based on the number of dengue cases showed an increased risk in 2010, 2015 and 2016 in which the effects of El Nino and La Nina extreme climates occurred. North Sumatra, Bali, and West Java were more influenced by the vulnerability component, in line with their risk analysis that tends to be lower than the other provinces in 2010, 2015 and 2016 when El Nino and La Nina occurred. (4) Conclusion: Based on data from the last ten years, in Jakarta Capital, Central Java, East Java and East Kalimantan, dengue risks were mainly influenced by the climatic hazard component while North Sumatra, Bali and West Java were more influenced by the vulnerability component.

Indexed as

adaptive capacitydengue risk assessmentleast-square fittingrisk sensitivityvalidation optimization

Identifiers

PMID36006264
PMCPMC9415645

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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.