Evidence map›Paper›PMID 19328462›Full record

SynthesisEnvironmental research2009

Seasonality of cryptosporidiosis: A meta-analysis approach.

Jyotsna S Jagai, Denise A Castronovo, Jim Monchak, Elena N Naumova

Open access · greenAbstract readMeta-Analysis
In one paragraph

Synthesis in Environmental research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 83 papers, 10 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 10 pooled it
4.2field-weighted citation impact, top 5% 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

83 citing papers in PubMed, 10 syntheses or guidelines pooled it, 190 citations in OpenAlex.

  1. Pooled it
  2. Global prevalence ofParasitology · 2023
    Pooled it
  3. Prevalence ofFrontiers in cellular and infection microbiology · 2021
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  11. Trial
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  15. Retrospective case-case study investigation of a significant increase inEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2025
    Article
  16. Article
  17. Current research in parasitology & vector-borne diseases · 2025
    Article
  18. First nationwide investigation ofCurrent research in parasitology & vector-borne diseases · 2025
    Article
  19. Molecular detection ofInternational journal for parasitology. Parasites and wildlife · 2024
    Article
  20. Article

23 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 at 1 institution in 1 country.

Jyotsna S JagaiDepartment of Public Health and Family Medicine, Tufts University School of Medicine, 136 Harrison Avenue, Boston, MA 02111, USA. jyotsna.jagai@tufts.edu
Denise A Castronovo
Jim Monchak
Elena N Naumova
Tufts University · US

Funding

Gastroenteritis and Extreme Weather Events in ElderlyR01ES013171 · NIEHS · TUFTS UNIVERSITY BOSTON · PI NAUMOVA, ELENA N · 2005 to 2006
$779k
NIEHS NIH HHS ES013171NIEHS NIH HHS R01 ES013171
6 · The paper itself

Abstract

objectivesWe developed methodology for and conducted a meta-analysis to examine how seasonal patterns of cryptosporidiosis, a primarily waterborne diarrheal illness, relate to precipitation and temperature fluctuations worldwide.

methodsMonthly cryptosporidiosis data were abstracted from 61 published epidemiological studies that cover various climate regions based on the Köppen Climate Classification. Outcome data were supplemented with monthly aggregated ambient temperature and precipitation for each study location. We applied a linear mixed-effect model to relate the monthly normalized cryptosporidiosis incidence with normalized location-specific temperature and precipitation data. We also conducted a sub-analysis of associations between the Normalized Difference Vegetation Index (NDVI), a remote sensing measure for the combined effect of temperature and precipitation on vegetation, and cryptosporidiosis in Sub-Saharan Africa.

resultsOverall, and after adjusting for distance from the equator, increases in temperature and precipitation predict an increase in cryptosporidiosis; the strengths of relationship vary by climate subcategory. In moist tropical locations, precipitation is a strong seasonal driver for cryptosporidiosis whereas temperature is in mid-latitude and temperate climates. When assessing lagged relationships, temperature and precipitation remain strong predictors. In Sub-Saharan Africa, after adjusting for distance from the equator, low NDVI values are predictive of an increase in cryptosporidiosis in the following month. DISCUSSION: In this study we propose novel methodology to assess relationships between disease outcomes and meteorological data on a global scale. Our findings demonstrate that while climatic conditions typically define a pathogen habitat area, meteorological factors affect timing and intensity of seasonal outbreaks. Therefore, meteorological forecasts can be utilized to develop focused prevention programs for waterborne cryptosporidiosis.

Indexed as

RainTemperatureAfrica South of the SaharaAnimalsCryptosporidiosisCryptosporidiumEnvironmental MonitoringEpidemiological MonitoringHumansPredictive Value of TestsSeasonsTropical Climate

Identifiers

PMID19328462
PMCPMC2732192
OpenAlexW2045601768

What OpenQuestion holds

Textmetadata
LicenceTDM
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.