Spatial and temporal distribution of falciparum malaria in China

Lin, Hualiang; Lu, Liang; Tian, Linwei; Zhou, Shui-Sen; Wu, Haixia; Bi, Yan; Ho, Suzanne C.; Liu, Qiyong

doi:10.1186/1475-2875-8-130

Cited by 67 publications

(69 citation statements)

References 22 publications

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“…However, the prevalence of malaria in Uvwie and Udu are not significantly different from one another. This finding corroborates with study of spatial and temporal distribution of falciparum malaria in China by Lin [28] showing that stable falciparum malaria transmission occurs in the bordering region of Yunnan and the hilly-forested.…”

Section: Methodssupporting

confidence: 90%

Spatial distribution of malaria in Warri metropolis

Efe¹,

Ojoh²

2013

OJEpi

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This study examined the spatial distribution of malaria in Warri metropolis. To achieve this, data were generated from medical archival records from hospitals in Warri metropolis. The medical records contain recorded cases by place of diagnosis in 2011. The data were analysed by using ANOVA to ascertain the spatial differences in the spread of malaria in the metropolis. The result revealed that malaria is at its peak in June and minimal in September owing to the heavy floods in June. It was observed that there is a variation in the prevalence of malaria in the metropolis which is significantly high in area of Okumagba layout, Jakpa, Airport road, Pessu market, Warri main market, and Igbudu market. However, the prevalence of malaria in Warri is significantly different from the prevalence of malaria in Uvwie and Udu. It is anticipated that an increase in malaria is attributed to water bodies, thus, it is recommended that vulnerability mapping should be carried out to identify areas prone to malaria.

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Section: Methodssupporting

confidence: 90%

Spatial distribution of malaria in Warri metropolis

Efe¹,

Ojoh²

2013

OJEpi

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“…We constructed ARIMA models for monthly HFRS incidence in Zibo from 1983 to 2012. ARIMA was designed to deal with highly seasonal data (23). An ARIMA (p, d, q) model comprises 3 types of parameters (15,23,24): the autoregressive parameters (p), number of differencing passes (d), and moving average parameters (q).…”

Section: Methodsmentioning

confidence: 99%

Using an Autoregressive Integrated Moving Average Model to Predict the Incidence of Hemorrhagic Fever with Renal Syndrome in Zibo, China, 2004–2014

et al. 2016

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SUMMARY: Hemorrhagic fever with renal syndrome (HFRS) is highly endemic in mainland China, where human cases account for 90z of the total global cases. Zibo City is one of the most seriously affected areas in Shandong Province, China. Therefore, there is an urgent need for monitoring and predicting HFRS incidence in Zibo to make the control of HFRS more effective. In this study, we constructed an autoregressive integrated moving average (ARIMA) model for monthly HFRS incidence in Zibo from 2004 to 2013. The ARIMA (3,1,1) × (2,1,1) 12 model is reliable with a high validity, which can be used to predict the next year's HFRS incidence in Zibo. The forecast results suggest that the HFRS incidence in Zibo will experience a slight growth in the next year.

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“…Because of the increase in international migrants to Hainan Province, 22 the number of imported falciparum malaria cases exhibited an increasing trend in recent years (Table 2). Thus, recognizing and understanding the influence of immigration populations will help to improve interventions against malaria.…”

Section: Methodsmentioning

confidence: 99%

A Cost-Effectiveness Analysis of Plasmodium falciparum Malaria Elimination in Hainan Province, 2002–2012

Sun

Wang

et al. 2015

The American Society of Tropical Medicine and Hygiene

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Abstract. In Hainan Province, China, great achievements in elimination of falciparum malaria have been made since 2010. There have been no locally acquired falciparum malaria cases since that time. The cost-effectiveness of elimination of falciparum malaria has been analyzed in Hainan Province. There were 4,422 falciparum malaria cases reported from 2002 to 2012, more cases occurred in males than in females. From 2002 to 2012, a total of 98.5 disabilityadjusted life years (DALYs) were reported because of falciparum malaria. Populations in the age ranges of 15-25 and 30-44 years had higher incidences and DALYs than other age groups. From 2002 to 2012, malaria-related costs

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Spatial and temporal distribution of falciparum malaria in China

Cited by 67 publications

References 22 publications

Spatial distribution of malaria in Warri metropolis

Spatial distribution of malaria in Warri metropolis

Using an Autoregressive Integrated Moving Average Model to Predict the Incidence of Hemorrhagic Fever with Renal Syndrome in Zibo, China, 2004–2014

A Cost-Effectiveness Analysis of Plasmodium falciparum Malaria Elimination in Hainan Province, 2002–2012

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Spatial and temporal distribution of falciparum malaria in China

Cited by 67 publications

References 22 publications

Spatial distribution of malaria in Warri metropolis

Spatial distribution of malaria in Warri metropolis

Using an Autoregressive Integrated Moving Average Model to Predict the Incidence of Hemorrhagic Fever with Renal Syndrome in Zibo, China, 2004&ndash;2014

A Cost-Effectiveness Analysis of Plasmodium falciparum Malaria Elimination in Hainan Province, 2002–2012

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Using an Autoregressive Integrated Moving Average Model to Predict the Incidence of Hemorrhagic Fever with Renal Syndrome in Zibo, China, 2004–2014