Evidence map›Paper›PMID 30866826›Full record

ArticleBMC infectious diseases2019

Seasonality and the effects of weather on Campylobacter infections.

Abdelmajid Djennad, Giovanni Lo Iacono, Christophe Sarran, Christopher Lane, Richard Elson, Christoph Höser, Iain R Lake, Felipe J Colón-González, Sari Kovats, Jan C Semenza and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 3 pooled it
7.6field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 3 syntheses or guidelines pooled it, 71 citations in OpenAlex.

  1. Pooled it
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  4. Enhancing surveillance of foodborne bacteria and antimicrobial resistance using a large centralized laboratory database: Case study of Campylobacter and nontyphoidal Salmonella in Peru.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2026
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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

14 authors at 10 institutions in 5 countries.

Abdelmajid DjennadStatistics, Modelling and Economics Department, National Infection Service, Public Health England, 61, Colindale Avenue, London, NW9 5EQ, UK. abdelmajid.djennad@phe.gov.uk.
Giovanni Lo IaconoSchool of Veterinary Medicine, University of Surrey, Guildford, UK.
Christophe SarranMet Office, Exeter, UK.
Christopher LaneWorld Health Organisation, Geneva, Switzerland.
Richard ElsonNational Infection Service, Public Health England, London, UK.
Christoph HöserInstitute for Hygiene and Public Health, GeoHealth Centre, University of Bonn, Bonn, Germany.
Iain R LakeUniversity of East Anglia, Norwich, UK.
Felipe J Colón-GonzálezUniversity of East Anglia, Norwich, UK.
Sari KovatsLondon School of Hygiene and Tropical Medicine, London, UK.
Jan C SemenzaEuropean Centre for Disease Prevention and Control, Stockholm, Sweden.
Trevor C BaileyUniversity of Exeter, Exeter, UK.
Anthony KesselStatistics, Modelling and Economics Department, National Infection Service, Public Health England, 61, Colindale Avenue, London, NW9 5EQ, UK.
Lora E FlemingUniversity of Exeter, Exeter, UK.
Gordon L NicholsStatistics, Modelling and Economics Department, National Infection Service, Public Health England, 61, Colindale Avenue, London, NW9 5EQ, UK.
London School of Hygiene & Tropical Medicine · GBPublic Health England · GBUniversity of East Anglia · GBUniversity of Exeter · GBEuropean Centre for Disease Prevention and Control · SEHealth Protection Research Unit in Emerging and Zoonotic Infections at University of Liverpool · GBMet Office · GBUniversity of Bonn · DEUniversity of Surrey · GBWorld Health Organization · CH

Funding

Medical Research Council MR/K019341/1World Health Organization 001
6 · The paper itself

Abstract

backgroundCampylobacteriosis is a major public health concern. The weather factors that influence spatial and seasonal distributions are not fully understood.

methodsTo investigate the impacts of temperature and rainfall on Campylobacter infections in England and Wales, cases of Campylobacter were linked to local temperature and rainfall at laboratory postcodes in the 30 days before the specimen date. Methods for investigation included a comparative conditional incidence, wavelet, clustering, and time series analyses.

resultsThe increase of Campylobacter infections in the late spring was significantly linked to temperature two weeks before, with an increase in conditional incidence of 0.175 cases per 100,000 per week for weeks 17 to 24; the relationship to temperature was not linear. Generalized structural time series model revealed that changes in temperature accounted for 33.3% of the expected cases of Campylobacteriosis, with an indication of the direction and relevant temperature range. Wavelet analysis showed a strong annual cycle with additional harmonics at four and six months. Cluster analysis showed three clusters of seasonality with geographic similarities representing metropolitan, rural, and other areas.

conclusionsThe association of Campylobacteriosis with temperature is likely to be indirect. High-resolution spatial temporal linkage of weather parameters and cases is important in improving weather associations with infectious diseases. The primary driver of Campylobacter incidence remains to be determined; other avenues, such as insect contamination of chicken flocks through poor biosecurity should be explored.

Indexed as

WeatherAnimalsCampylobacter InfectionsChickensEnglandHumansSeasonsWalesCampylobacterClimate changeEnvironmental healthRainfallTemperatureTime series

Identifiers

PMID30866826
PMCPMC6417031
OpenAlexW2920255473

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.