Evidence map›Paper›PMID 22015426›Full record

ReviewActa tropica2012

Progress towards understanding the ecology and epidemiology of malaria in the western Kenya highlands: opportunities and challenges for control under climate change risk.

A K Githeko, E N Ototo, Yan Guiyun

Abstract readReview
In one paragraph

Review in Acta tropica, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing 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

30 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. High prevalence of asymptomaticCurrent research in parasitology & vector-borne diseases · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Risk factors for Plasmodium falciparum infection in the Kenyan Highlands: a cohort study.Transactions of the Royal Society of Tropical Medicine and Hygiene · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

A K GithekoKenya Medical Research Institute, Centre for Global Health Research, Climate and Human Health Research Unit, Kisumu, Kenya. githeko@yahoo.com
E N Ototo
Yan Guiyun

Funding

Ecology of African Highland MalariaR01AI050243 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI YAN, GUIYUN · 2001 to 2018
$8.8M
Research Training in Mosquito Genomics and Bioinformat*D43TW001505 · FIC · UNIVERSITY OF CALIFORNIA-IRVINE · PI Guiyun Yan · 2000 to 2026
$6.0M
FIC NIH HHS D43 TW001505NIAID NIH HHS R01 AI050243NIAID NIH HHS R01 AI-50243
6 · The paper itself

Abstract

Following severe malaria epidemics in the western Kenya highlands after the late 1980s it became imperative to undertake eco-epidemiological assessments of the disease and determine its drivers, spatial-temporal distribution and control strategies. Extensive research has indicated that the major biophysical drivers of the disease are climate change and variability, terrain, topography, hydrology and immunity. Vector distribution is focalized at valley bottoms and abundance is closely related with drainage efficiency, habitat availability, stability and productivity of the ecosystems. Early epidemic prediction models have been developed and they can be used to assess climate risks that warrant extra interventions with a lead time of 2-4 months. Targeted integrated vector management strategies can significantly reduce the cost on the indoor residual spraying by targeting the foci of transmission in transmission hotspots. Malaria control in the highlands has reduced vector population by 90%, infections by 50-90% in humans and in some cases transmission has been interrupted. Insecticide resistance is increasing and as transmission decreases so will immunity. Active surveillance will be required to monitor and contain emerging threats. More studies on eco-stratification of the disease, based on its major drivers, are required so that interventions are tailored for specific ecosystems. New and innovative control interventions such as house modification with a one-application strategy may reduce the threat from insecticide resistance and low compliance associated with the use of ITNs.

Indexed as

Climate ChangeEcosystemAnimalsHumansKenyaMalariaMosquito Control

Identifiers

PMID22015426
PMCPMC3298846

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.