Evidence map›Paper›PMID 35509020›Full record

ArticleBMC infectious diseases2022

Temperate climate malaria in nineteenth century Denmark.

Mathias Mølbak Ingholt, Tzu Tung Chen, Franziska Hildebrandt, Rasmus Kristoffer Pedersen, Lone Simonsen

Open access · goldAbstract read
In one paragraph

Article in BMC infectious diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Association between heavy rainfall and flooding events and infectious diseases in Europe: a rapid review, 2018 to 2025.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2026
    Review
  2. Article
  3. Review
  4. Ecology of Malaria Mortality: A Spatiotemporal Mapping Approach.American journal of biological anthropology · 2026
    Article
  5. Ecologies of Risk: Malaria and Settler Landscape Transformation in 19th-Century Ontario.American journal of human biology : the official journal of the Human Biology Council · 2026
    Article
  6. 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

5 authors at 3 institutions in 2 countries.

Mathias Mølbak IngholtPandemiX Center, Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark. mingholt@ruc.dk.
Tzu Tung ChenRegional Climate Group, Department of Earth Sciences, University of Gothenburg, 405 30, Gothenburg, Sweden.
Franziska HildebrandtDepartment of Molecular Biosciences, The Wenner-Gren Institute, Stockholm University, Stockholm, Sweden.
Rasmus Kristoffer PedersenPandemiX Center, Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark.
Lone SimonsenPandemiX Center, Department of Science and Environment, Roskilde University, Universitetsvej 1, 4000, Roskilde, Denmark.
Roskilde University · DKStockholm University · SEUniversity of Gothenburg · SE

Funding

Carlsbergfondet,Denmark CF20-0046NordForsk,Norway 104910Svenska Forskningsrådet Formas 2017-01161
6 · The paper itself

Abstract

backgroundPlasmodium vivax was endemic in northern Europe until the early twentieth century. Considering climate change and the recent emergence of other vector borne diseases in Europe, historical insight into the relationship between malaria and environmental factors in northern Europe is needed. This article describes malaria epidemiology in late-nineteenth century Denmark.

methodsWe described the seasonality and spatial patterns of malaria, and the relationship of the disease with environmental factors such as soil types, clay content and elevation for the period 1862-1914. We studied demographic and seasonal patterns and malaria mortality in the high-morbidity period of 1862-1880. Finally, we studied the relationship between malaria seasonality and temperature and precipitation using a Spearman correlation test.

resultsWe found that the highest incidence occurred in eastern Denmark. Lolland-Falster medical region experienced the highest incidence (14.5 cases per 1000 pop.) and Bornholm medical region experienced the lowest incidence (0.57 cases per 1000 pop.). Areas with high malaria incidence also had high soil clay content, high agricultural production, and Lolland-Falster furthermore has a low elevation. Malaria incidence typically peaked in May and was associated with high temperatures in July and August of the previous year but not with precipitation. The case fatality rate was 0.17%, and the disease affected both sexes and all age groups except for infants. In 1873, a large epidemic occurred following flooding from a storm surge in November 1872.

conclusionsMalaria gradually declined in Denmark during our study period and had essentially disappeared by 1900. The high adult and low child morbidity in 1862-1880 indicates that malaria was not highly endemic in this period, as malaria is most frequent among children in highly endemic areas today. The association of high malaria incidence in spring with warmer temperatures in the previous summer suggests that transmission took place in the previous summers. The close geographical connection between malaria and soil types, agricultural production and elevation suggests that these factors are detrimental to sustain endemic malaria. Our findings of a close connection between malaria and environmental factors such as climate and geography provides insights to address potential reintroduction of malaria in temperate climates.

Indexed as

MalariaMalaria, VivaxAdultChildClayDenmarkFemaleHumansIncidenceMalePlasmodium vivaxSoilClaySoil

Identifiers

PMID35509020
PMCPMC9069793
OpenAlexW4229018204

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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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.