scholarly journals Adapting Reactive Case Detection Strategies for falciparum Malaria in a Low-Transmission Area in Cambodia

2017 ◽  
Vol 66 (2) ◽  
pp. 296-298 ◽  
Author(s):  
Gabriele Rossi ◽  
Rafael Van den Bergh ◽  
Chea Nguon ◽  
Mark Debackere ◽  
Lieven Vernaeve ◽  
...  
2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Sofonias K. Tessema ◽  
Mulualem Belachew ◽  
Cristian Koepfli ◽  
Kjerstin Lanke ◽  
Tiffany Huwe ◽  
...  

AbstractThe distribution of malaria infections is heterogeneous in space and time, especially in low transmission settings. Understanding this clustering may allow identification and targeting of pockets of transmission. In Adama district, Ethiopia, Plasmodium falciparum and P. vivax malaria patients and controls were examined, together with household members and immediate neighbors. Rapid diagnostic test and quantitative PCR (qPCR) were used for the detection of infections that were genetically characterized by a panel of microsatellite loci for P. falciparum (26) and P. vivax (11), respectively. Individuals living in households of clinical P. falciparum patients were more likely to have qPCR detected P. falciparum infections (22.0%, 9/41) compared to individuals in control households (8.7%, 37/426; odds ratio, 2.9; 95% confidence interval, 1.3–6.4; P = .007). Genetically related P. falciparum, but not P. vivax infections showed strong clustering within households. Genotyping revealed a marked temporal cluster of P. falciparum infections, almost exclusively comprised of clinical cases. These findings uncover previously unappreciated transmission dynamics and support a rational approach to reactive case detection strategies for P. falciparum in Ethiopia.


2015 ◽  
Vol 14 (1) ◽  
Author(s):  
David A. Larsen ◽  
Zunda Chisha ◽  
Benjamin Winters ◽  
Mercie Mwanza ◽  
Mulakwa Kamuliwo ◽  
...  

2010 ◽  
Vol 9 (1) ◽  
pp. 264 ◽  
Author(s):  
Pei-Wen Lee ◽  
Chia-Tai Liu ◽  
Virgilio E do Rosario ◽  
Bruno de Sousa ◽  
Herodes Sacramento Rampao ◽  
...  

2015 ◽  
Vol 110 (2) ◽  
pp. 209-214 ◽  
Author(s):  
Liliane Maria Vidal Siqueira ◽  
Luciana Inácia Gomes ◽  
Edward Oliveira ◽  
Eduardo Ribeiro de Oliveira ◽  
Áureo Almeida de Oliveira ◽  
...  

2021 ◽  
Author(s):  
W. M. Kumudunayana T. de A. W Gunasekera ◽  
Risintha Premaratne ◽  
Deepika Fernando ◽  
Muzrif Munaz ◽  
M. G. Y. Piyasena ◽  
...  

Abstract Background Sri Lanka sustained its malaria-free status by implementing, among other interventions, three core case detection strategies namely Passive Case Detection (PCD), Reactive Case Detection (RACD) and Proactive Case Detection (PACD). The outcomes of these strategies were analysed in terms of their effectiveness in detecting malaria infections for the period from 2017-2019. Methods Comparisons were made between the surveillance methods and between years, based on data obtained from the national malaria database and individual case reports of malaria patients. The number of blood smears examined microscopically was used as the measure of the volume of tests conducted. The yield from each case detection method was calculated as the proportion of blood smears which were positive for malaria. Within RACD and PACD, the yield of sub categories of travel cohorts and spatial cohorts was ascertained for 2019. Results A total of 158 malaria cases were reported in 2017-2019. During this period between 666,325-725,149 blood smears were examined annually. PCD detected 95.6%, with a yield of 16.1 cases per 100,000 blood smears examined. RACD and PACD produced a yield of 11.2 and 0.3, respectively. The yield of screening the sub category of travel cohorts was very high for RACD and PACD being 806.5 and 44.9 malaria cases per 100,000 smears, respectively. Despite over half of the blood smears examined being obtained by screening spatial cohorts within RACD and PACD, the yield of both was zero over all three years. Conclusions The PCD arm of case surveillance is the most effective and, therefore, has to continue and be further strengthened as the mainstay of malaria surveillance. Focus on travel cohorts within RACD and PACD should be even greater. Screening of spatial cohorts, on a routine basis and solely because people are resident in previously malarious areas, may be wasteful, except in situations where the risk of local transmission is very high, or is imminent. These findings may apply more broadly to most countries in the post-elimination phase.


2020 ◽  
Vol 97 ◽  
pp. 337-346 ◽  
Author(s):  
Logan Stuck ◽  
Bakar S. Fakih ◽  
Abdul-wahid H. Al-mafazy ◽  
Natalie E. Hofmann ◽  
Aurel Holzschuh ◽  
...  

2020 ◽  
Vol 28 (01) ◽  
pp. 167-182
Author(s):  
IULIA MARTINA BULAI ◽  
STÉPHANIE DEPICKÈRE ◽  
VITOR HIRATA SANCHES

Malaria remains a primary parasitic disease in the tropical world, generating high morbidity and mortality in human populations. Recently, community surveys showed a high proportion of asymptomatic cases, which are characterized by a low parasitemia and a lack of malaria symptoms. Until now, the asymptomatic population is not treated for malaria and thus remains infective for a long time. In this paper, we introduce a four-dimensional mathematical model to study the influence of asymptomatic people on malaria transmission in low-transmission areas, specifically using data from Brazil. The equilibrium points of the system are calculated, and their stability is analyzed. Via numerical simulations, more in-depth analyzes of the space of some crucial parameters on the asymptomatic population are done, such as the per capita recovery rates of symptomatic and asymptomatic people, the ratio of the density of mosquitoes to that of humans, the mortality rate of mosquitoes and the probability of undergoing asymptomatic infection upon an infectious mosquito bite. Our results indicate that the disease-free equilibrium is inside the stability region if asymptomatic people are treated and/or the ratio of the density of mosquitoes to that of humans is decreased and/or the mortality rate of mosquitoes is increased.


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