Climate Drivers on Malaria Transmission in Arunachal Pradesh, India

Upadhyayula, Suryanaryana Murty; Mutheneni, Srinivasa Rao; Sumana, C.; Parasaram, Vaideesh; Kadiri, Madhusudhan Rao

doi:10.1371/journal.pone.0119514

Cited by 17 publications

(9 citation statements)

References 35 publications

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“…Seasonal variations of malaria cases have been observed, maximum cases (419) were detected in month September and minimum cases (only 5 cases) were detected in month of March. The same trend with seasonal variation has been observed in a study from India 13 .…”

Section: Discussionsupporting

confidence: 86%

Untitled

2016

IJPSR

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Background: Malaria is a serious parasitic health problem in India. Plasmodium vivax and falciparum pose the greatest public challenge in endemic areas. P. vivax accounts for more than half of all malaria cases. Accurate and prompt diagnosis is not only important to prevent morbidity, but also helps minimizing drug resistance. Aim: To know the profile of malaria parasite in the patients attending UPRIMS&R, a tertiary care center in Western Uttar Pradesh. Methods: A total 26,939 samples were subjected to smear microscopy (thin and thick) or rapid diagnostic tests. Result: 1330 positive malaria cases were detected. Malaria cases were maximum in year 2010. The proportion of P.vivax, P.falciprum and mixed malaria parasites was found 67% (891 out of 1330), 32% (420 out of 1330) and 1% (19 out of 1330) respectively. Conclusion: There is a decline in trend of malaria cases in India. The highest load of malaria cases was found in month September. P. vivax is still a predominant malaria parasite.

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Section: Discussionsupporting

confidence: 86%

Untitled

2016

IJPSR

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“…From Table 5, this study was very much comparable to different studies which were done in different places of Gujarat and western region of India due to similar environmental condition, modernisation, and urbanisation. Our observation was also convinced by studies done by Upadhyayula et al, 25 Chery et al, 26 Rashmi Sharma et al 27 and Sharma et al 28 The predominance of P. vivax cases can be due to different load of parasite, difference in density and capability of vector, host parasite relationship means new cases of P. vivax from migration of people to this area. 24 We found maximum number of Malaria cases i.e.…”

Section: Discussionsupporting

confidence: 80%

“…1 The factor of rainfall influences the transmission of malaria by creating the breeding sites and also increases the relative humidity, which is favorable for mosquito, parasite development and disease transmission. 25 On the other hand, abundant rainfall wash out the breeding sources which may lead to decrease in the mosquito population and reflects on decrease in number of malaria incidences. 25 In other than rainy season, malaria cases were also occurred.…”

Section: Discussionmentioning

confidence: 99%

Prevalence and seasonal trends of malaria at general hospital, Palanpur Banaskantha, Western part of India

Patel¹,

Modi²

2020

IJMMTD

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Aim: Malaria is one of the known endemic disease in India. Malaria is transmitted by infected female anopheles mosquito vector transmitting mainly two Plasmodial species named P. falciparum and P. vivax. Prevalence of malaria is affected by atmospheric and socioeconomic condition of geographical area. Aim of the study is to know the prevalence of malaria and the seasonal trend of malaria at general hospital Palanpur, Banaskantha in western part of India. Material and Methods: This study was carried out at Central Laboratory, General Hospital, Palanpur, Banaskantha over period of July 2014 to June 2018. 41660 samples from fever patients were collected. We used Microscopic examination for the diagnosis of malaria by preparing thick and thin smears from these 41660 samples and stained using field stain. Results: We had collected total 41660 samples of fever patients. Out of 41660 samples, 688 samples were detected positive for malaria. So prevalence of malaria in our hospital was 1.65%. Prevalence of P. Vivax, P. Falciparum and mixed (infection of P. Falciparum and P. Vivax at a same time) were found 77.90%, 21.80% and 0.30% respectively. Malaria was seen relatively higher in males and affecting 15-30 years of age group more. Most cases of malaria were found in months of September and October near the end of monsoon and post monsoon season. Conclusion:From our study we concluded that there was high prevalence of P. vivax than P. Falciparum infection. Maximum numbers of cases were after major rainfall, reported in month of September and October. Morbidity and mortality of malaria must be reduced by strengthening Malaria Surveillance, risk factor assessment during pre and postmonsoon period. Premonsoon preventive actions need strengthening and strict monitoring of all these actions are needed.

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“…The future repercussions of climate change on malaria transmission at the global level have already been explored; however, such evidences are limited in India. In India, climate suitability models for malaria transmission were developed mainly by considering the Temperature and Rainfall variables [20,21]. Based on PRECIS data (baseline of 1961–1990) for Temperature and Relative Humidity (RH), Dhiman et al, 2011 [22] had projected the climate suitability of malaria transmission with respect to climate change by the year 2030.…”

Section: Introductionmentioning

confidence: 99%

Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions

Sarkar

Gangare

Singh

et al. 2019

IJERPH

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The future implications of climate change on malaria transmission at the global level have already been reported, however such evidences are scarce and limited in India. Here our study aims to assess, identify and map the potential effects of climate change on Plasmodium vivax (Pv) and Plasmodium falciparum (Pf) malaria transmission in India. A Fuzzy-based Climate Suitability Malaria Transmission (FCSMT) model under the GIS environment was generated using Temperature and Relative Humidity data, extracted from CORDEX South Asia for Baseline (1976–2005) and RCP 4.5 scenario for future projection by the 2030s (2021–2040). National malaria data were used at the model analysis stage. Model outcomes suggest that climate change may significantly increase the spatial spread of Pv and Pf malaria with a numerical increase in the transmission window’s (TW) months, and a shift in the months of transmission. Some areas of the western Himalayan states are likely to have new foci of Pv malaria transmission. Interior parts of some southern and eastern states are likely to become more suitable for Pf malaria transmission. Study has also identified the regions with a reduction in transmission months by the 2030s, leading to unstable malaria, and having the potential for malaria outbreaks.

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Climate Drivers on Malaria Transmission in Arunachal Pradesh, India

Cited by 17 publications

References 35 publications

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Prevalence and seasonal trends of malaria at general hospital, Palanpur Banaskantha, Western part of India

Shift in Potential Malaria Transmission Areas in India, Using the Fuzzy-Based Climate Suitability Malaria Transmission (FCSMT) Model under Changing Climatic Conditions

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