The malaria transmission in Anhui province China

Kamana, Eric; Bai, Di; Brown, Heidi E.; Zhao, Jijun

doi:10.1016/j.idm.2022.11.009

Cited by 2 publications

(3 citation statements)

References 24 publications

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“…This approach has been used by numerous researchers to examine the association between climate variables (e.g. temperature and rainfall) and malaria cases and hospital admissions in different countries [17][18][19][23][24][25][26][27][28]. The wavelet analysis allows us to assess the non-stationary spatial and temporal dynamics of diseases in relation to climate variables, aiding in the identification of epidemic periodic cycles.…”

Section: Introductionmentioning

confidence: 99%

Disentangling the seasonality effects of malaria transmission in the Brazilian Amazon basin

Valiati,

Rice,

Villela

2024

R. Soc. Open Sci.

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The evidence of seasonal patterns in malaria epidemiology in the Brazilian Amazon basin indicates the need for a thorough investigation of seasonality in this last and heterogeneous region. Additionally, since these patterns are linked to climate variables, malaria models should also incorporate them. This study applies wavelet analysis to incidence data from 2003 to 2020 in the Epidemiological Surveillance System for Malaria (SIVEP-Malaria) database. A mathematical model with climate-dependent parametrization is proposed to study counts of malaria cases over time based on notification data, temperature and rainfall. The wavelet analysis reveals marked seasonality in states Amazonas and Amapá throughout the study period, and from 2003 to 2012 in Pará. However, these patterns are not as marked in other states such as Acre and Pará in more recent years. The wavelet coherency analysis indicates a strong association between incidence and temperature, especially for the municipalities of Macapá and Manaus, and a similar association for rainfall. The mathematical model fits well with the observed temporal trends in both municipalities. Studies on climate-dependent mathematical models provide a good assessment of the baseline epidemiology of malaria. Additionally, the understanding of seasonality effects and the application of models have great potential as tools for studying interventions for malaria control.

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Section: Introductionmentioning

confidence: 99%

Disentangling the seasonality effects of malaria transmission in the Brazilian Amazon basin

Valiati,

Rice,

Villela

2024

R. Soc. Open Sci.

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“…Malaria cases spread more widely during normal monsoon years than during drought years, which can be attributed to a more conducive environment for mosquito breeding. The greatest link between seasonal and annual precipitation and malaria case burden was found in China and India 12 13. Malaria transmission is seasonal in the Sahelian nations, with the exception of Algeria and Cabo Verde, which are year-round 5.…”

Section: Introductionmentioning

confidence: 99%

“…The greatest link between seasonal and annual precipitation and malaria case burden was found in China and India. 12 13 Malaria transmission is seasonal in the Sahelian nations, with the exception of Algeria and Cabo Verde, which are year-round. 5 Conducive environment, such as rainfall, high temperatures and humidity, is needed for malaria transmission between the mosquito vectors and its human host.…”

Section: Introductionmentioning

confidence: 99%

Burden and seasonal distribution of malaria in Ziquala district, Northeast Ethiopia: a 5-year multi-centre retrospective study

Debash,

Bisetegn,

Ebrahim

et al. 2023

BMJ Open

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ObjectiveThis study was aimed to determine the 5-year trend of malaria positivity rate in Ziquala district, Northeast Ethiopia.MethodsReview of blood film reports from health institutions’ laboratory record books using predesigned checklists was done as part of an institution-based retrospective study to assess the 5-year (2016/2017–2020/2021) trend of malaria. To display data and analyse patterns in the trend of malaria over the course of years, months and seasons, descriptive statistics were used. The results of the data analysis were displayed in tables and figures using SPSS V.26.0. P values under 0.05 were considered as statistically significant for all comparisons.ResultsA total of 46 365 blood films from malaria suspected individuals were diagnosed using microscopy over the last 5 years. Of the diagnosed individuals, 14 429 (31.1%) were confirmed positive for Plasmodium infection.Plasmodium falciparum(59.7%) andPlasmodium vivax(37.0%) were the dominant species. The positivity rate of mixed infection (P. falciparumandP. vivax) was 3.3%. The maximum (3598; 29.6%) and minimum (2085; 29.1%) number of cases were reported in 2019/2020 and 2020/2021, respectively. Of the total cases, 9206 (63.8%) were in males. Moreover, the highest malaria positivity rate was observed in the age group of 15–45 (4040; 28.0%). Among the six health facilities, Ziquala district hospital had the highest malaria positivity rate (35.8%), followed by Tsitsika health centre (27.3%) and Mishra health centre (14.2%).ConclusionWithP. falciparumbeing the most common species, malaria remains a severe public health threat in the district. Therefore, the district health office and other concerned bodies should strengthen and implement evidence-based malaria prevention and control measures.

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The malaria transmission in Anhui province China

Cited by 2 publications

References 24 publications

Disentangling the seasonality effects of malaria transmission in the Brazilian Amazon basin

Disentangling the seasonality effects of malaria transmission in the Brazilian Amazon basin

Burden and seasonal distribution of malaria in Ziquala district, Northeast Ethiopia: a 5-year multi-centre retrospective study

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