Evidence map›Paper›PMID 28790459›Full record

ArticleEmerging microbes & infections2017

Dengue burden in India: recent trends and importance of climatic parameters.

Srinivasa Rao Mutheneni, Andrew P Morse, Cyril Caminade, Suryanaryana Murty Upadhyayula

Abstract read
In one paragraph

Article in Emerging microbes & infections, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 86 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
86citing papers in PubMed, 1 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

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

86 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Epidemiology of Dengue Virus Infection in Different Geopolitical Zones of Odisha in Relation to Climatic Variation: An Observational Study.Indian journal of community medicine : official publication of Indian Association of Preventive & Social Medicine · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Dengue Cases in the Eastern Region of Afghanistan, 2021-2023.Journal of epidemiology and global health · 2025
    Article
  13. Article
  14. Review
  15. Article
  16. Review
  17. Review
  18. Article
  19. Observational
  20. Article

26 more citing papers are in PubMed but not listed here.

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

4 authors.

Srinivasa Rao MutheneniBiology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500 007, Telangana, India.
Andrew P MorseDepartment of Geography and Planning, School of Environmental Sciences, University of Liverpool, Liverpool, Merseyside L69 7ZT, UK.
Cyril CaminadeNIHR Health Protection Research Unit in Emerging and Zoonotic Infections, Liverpool, Merseyside L69 3GL, UK.ORCID http://orcid.org/0000-0002-3846-7082
Suryanaryana Murty UpadhyayulaBiology Division, CSIR-Indian Institute of Chemical Technology, Tarnaka, Hyderabad 500 007, Telangana, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the past ten years, the number of dengue cases has gradually increased in India. Dengue is driven by complex interactions among host, vector and virus that are influenced by climatic factors. In the present study, we focused on the extrinsic incubation period (EIP) and its variability in different climatic zones of India. The EIP was calculated by using daily and monthly mean temperatures for the states of Punjab, Haryana, Gujarat, Rajasthan and Kerala. Among the studied states, a faster/low EIP in Kerala (8-15 days at 30.8 and 23.4 °C) and a generally slower/high EIP in Punjab (5.6-96.5 days at 35 and 0 °C) were simulated with daily temperatures. EIPs were calculated for different seasons, and Kerala showed the lowest EIP during the monsoon period. In addition, a significant association between dengue cases and precipitation was also observed. The results suggest that temperature is important in virus development in different climatic regions and may be useful in understanding spatio-temporal variations in dengue risk. Climate-based disease forecasting models in India should be refined and tailored for different climatic zones, instead of use of a standard model.

Indexed as

ClimateAedesAnimalsClimate ChangeDengueDengue VirusHumansIndiaInsect VectorsRainSeasonsTemperature

Identifiers

PMID28790459
PMCPMC5583666

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.