2006
DOI: 10.1073/pnas.0601493103
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Malaria risk and temperature: Influences from global climate change and local land use practices

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Cited by 264 publications
(176 citation statements)
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“…Patterns seen here in Odonata are likely to be seen in other insects with aquatic stages to their life cycles. As a greater portion of the year becomes suitable for warm-adapted taxa such as Odonata, there is an increased risk of successful colonisation and persistence by disease vectors, which appear to be shifting distributions as temperatures increase (Patz & Olson 2006). …”
Section: Resultsmentioning
confidence: 99%
“…Patterns seen here in Odonata are likely to be seen in other insects with aquatic stages to their life cycles. As a greater portion of the year becomes suitable for warm-adapted taxa such as Odonata, there is an increased risk of successful colonisation and persistence by disease vectors, which appear to be shifting distributions as temperatures increase (Patz & Olson 2006). …”
Section: Resultsmentioning
confidence: 99%
“…Malaria is an extremely climate-sensitive disease (Rogers and Randolph, 2000) common in the tropics, (Patz and Olson, 2006), but also reported in mild-to-cold climates (Hulden, 2009). Rainfall and temperature anomalies are widely considered to be a major driver of inter-annual variability of malaria incidence in the semi-arid areas of Africa (Connor et al, 1999), and Thomson et al (2005), recently recorded a warming trend in the East African highlands that corresponded with concomitant increases in malaria incidences (Pascual et al, 2006).…”
Section: Introduction and Purposementioning
confidence: 99%
“…For Plasmodium falciparum, the major malaria species throughout much of Africa, the relationship between ambient temperature (T) and the EIP is approximated by EIP ϭ 111/(T-16), describing the iconic Detinova curve (11,12). Use of this equation is ubiquitous, with the vast majority of studies deriving EIP using measures of average monthly temperature to predict current malaria risk, and hence identify priority areas for allocation of resources for disease control and to assess the impact of climate change on global malaria burdens (8,(13)(14)(15)(16)(17)(18)(19).…”
mentioning
confidence: 99%