Fever Watch: live monsoon-fever risk for your city, in one score.

A daily risk read for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid) in your city, built from weather conditions, search interest and lab positivity. A risk indicator, not a diagnosis or a case count.

Available in select cities.

Reviewed by Dr. Nikita Toshi and Dr. Avinav Gupta

Monsoon fever risk by city, this week

Overall risk across 209 cities, highest first. Open any city for its full read.

#	City	State	Band	Score
1	Ranchi	Jharkhand	HIGH	73
2	Thane	Maharashtra	MODERATE	69
3	Kochi	Kerala	MODERATE	69
4	Mangaluru	Karnataka	MODERATE	69
5	Belagavi	Karnataka	MODERATE	69
6	Kozhikode	Kerala	MODERATE	69
7	Satara	Maharashtra	MODERATE	69
8	Udupi	Karnataka	MODERATE	69
9	Kannur	Kerala	MODERATE	69
10	Kottayam	Kerala	MODERATE	69
11	Alappuzha	Kerala	MODERATE	69
12	Dibrugarh	Assam	MODERATE	69
13	Nashik	Maharashtra	MODERATE	68
14	Dhanbad	Jharkhand	MODERATE	68
15	Bhiwandi	Maharashtra	MODERATE	68
16	Amravati	Maharashtra	MODERATE	68
17	Kolhapur	Maharashtra	MODERATE	68
18	Akola	Maharashtra	MODERATE	68
19	Kollam	Kerala	MODERATE	68
20	Thrissur	Kerala	MODERATE	68
21	Thiruvananthapuram	Kerala	MODERATE	68
22	Panaji	Goa	MODERATE	68
23	Port Blair	Andaman and Nicobar Islands	MODERATE	68
24	Daman	Dadra and Nagar Haveli and Daman and Diu	MODERATE	68
25	Silvassa	Dadra and Nagar Haveli and Daman and Diu	MODERATE	68
26	Jalgaon	Maharashtra	MODERATE	68
27	Mumbai	Maharashtra	MODERATE	67
28	Solapur	Maharashtra	MODERATE	67
29	Nanded	Maharashtra	MODERATE	67
30	Agartala	Tripura	MODERATE	67
31	Chandrapur	Maharashtra	MODERATE	67
32	Parbhani	Maharashtra	MODERATE	67
33	Haldia	West Bengal	MODERATE	67
34	Khammam	Telangana	MODERATE	67
35	Ramagundam	Telangana	MODERATE	67
36	Palakkad	Kerala	MODERATE	67
37	Nagpur	Maharashtra	MODERATE	66
38	Visakhapatnam	Andhra Pradesh	MODERATE	66
39	Aurangabad	Maharashtra	MODERATE	66
40	Tiruchirappalli	Tamil Nadu	MODERATE	66
41	Ujjain	Madhya Pradesh	MODERATE	66
42	Latur	Maharashtra	MODERATE	66
43	Kakinada	Andhra Pradesh	MODERATE	66
44	Nizamabad	Telangana	MODERATE	66
45	Dewas	Madhya Pradesh	MODERATE	66
46	Khandwa	Madhya Pradesh	MODERATE	66
47	Thanjavur	Tamil Nadu	MODERATE	66
48	Hyderabad	Telangana	MODERATE	65
49	Pune	Maharashtra	MODERATE	65
50	Hubballi	Karnataka	MODERATE	65
51	Warangal	Telangana	MODERATE	65
52	Bhilwara	Rajasthan	MODERATE	65
53	Sangli	Maharashtra	MODERATE	65
54	Sagar	Madhya Pradesh	MODERATE	65
55	Ratlam	Madhya Pradesh	MODERATE	65
56	Navsari	Gujarat	MODERATE	65
57	Rajahmundry	Andhra Pradesh	MODERATE	65
58	Karimnagar	Telangana	MODERATE	65
59	Indore	Madhya Pradesh	MODERATE	64
60	Howrah	West Bengal	MODERATE	64
61	Durgapur	West Bengal	MODERATE	64
62	Gulbarga	Karnataka	MODERATE	64
63	Siliguri	West Bengal	MODERATE	64
64	Davanagere	Karnataka	MODERATE	64
65	Ahmednagar	Maharashtra	MODERATE	64
66	Kharagpur	West Bengal	MODERATE	64
67	Vijayapura	Karnataka	MODERATE	64
68	Hassan	Karnataka	MODERATE	64
69	Puri	Odisha	MODERATE	64
70	Mysuru	Karnataka	MODERATE	63
71	Jamshedpur	Jharkhand	MODERATE	63
72	Cuttack	Odisha	MODERATE	63
73	Bellary	Karnataka	MODERATE	63
74	Dhule	Maharashtra	MODERATE	63
75	Puducherry	Puducherry	MODERATE	63
76	Bardhaman	West Bengal	MODERATE	63
77	Tumakuru	Karnataka	MODERATE	63
78	Raichur	Karnataka	MODERATE	63
79	Kanchipuram	Tamil Nadu	MODERATE	63
80	Surat	Gujarat	MODERATE	62
81	Purnia	Bihar	MODERATE	62
82	Vellore	Tamil Nadu	MODERATE	62
83	Dindigul	Tamil Nadu	MODERATE	62
84	Bengaluru	Karnataka	MODERATE	61
85	Bhubaneswar	Odisha	MODERATE	61
86	Asansol	West Bengal	MODERATE	61
87	Eluru	Andhra Pradesh	MODERATE	61
88	Coimbatore	Tamil Nadu	MODERATE	60
89	Bokaro	Jharkhand	MODERATE	60
90	Guwahati	Assam	MODERATE	59
91	Jammu	Jammu and Kashmir	MODERATE	59
92	Deoghar	Jharkhand	MODERATE	59
93	Hazaribagh	Jharkhand	MODERATE	59
94	Rourkela	Odisha	MODERATE	58
95	Malda	West Bengal	MODERATE	58
96	Haldwani	Uttarakhand	MODERATE	58
97	Kolkata	West Bengal	MODERATE	57
98	Vijayawada	Andhra Pradesh	MODERATE	57
99	Udaipur	Rajasthan	MODERATE	57
100	Chennai	Tamil Nadu	MODERATE	56
101	Tirupati	Andhra Pradesh	MODERATE	56
102	Bhilai	Chhattisgarh	MODERATE	55
103	Darbhanga	Bihar	MODERATE	55
104	Nagercoil	Tamil Nadu	MODERATE	55
105	Sambalpur	Odisha	MODERATE	55
106	Salem	Tamil Nadu	MODERATE	54
107	Gorakhpur	Uttar Pradesh	MODERATE	54
108	Dehradun	Uttarakhand	MODERATE	54
109	Jhansi	Uttar Pradesh	MODERATE	54
110	Korba	Chhattisgarh	MODERATE	54
111	Rampur	Uttar Pradesh	MODERATE	54
112	Raigarh	Chhattisgarh	MODERATE	54
113	Guntur	Andhra Pradesh	MODERATE	53
114	Kurnool	Andhra Pradesh	MODERATE	53
115	Brahmapur	Odisha	MODERATE	53
116	Bharuch	Gujarat	MODERATE	53
117	Bhopal	Madhya Pradesh	MODERATE	52
118	Ongole	Andhra Pradesh	MODERATE	52
119	Delhi	Delhi	MODERATE	51
120	Amritsar	Punjab	MODERATE	51
121	Muzaffarpur	Bihar	MODERATE	51
122	Hosur	Tamil Nadu	MODERATE	51
123	Kadapa	Andhra Pradesh	MODERATE	51
124	Lucknow	Uttar Pradesh	MODERATE	50
125	Tiruppur	Tamil Nadu	MODERATE	50
126	Madurai	Tamil Nadu	MODERATE	49
127	Nellore	Andhra Pradesh	MODERATE	49
128	Erode	Tamil Nadu	MODERATE	49
129	Katihar	Bihar	MODERATE	49
130	Katni	Madhya Pradesh	MODERATE	49
131	Raipur	Chhattisgarh	MODERATE	48
132	Baharampur	West Bengal	MODERATE	48
133	Bareilly	Uttar Pradesh	MODERATE	47
134	Moradabad	Uttar Pradesh	MODERATE	47
135	Saharanpur	Uttar Pradesh	MODERATE	47
136	Tirunelveli	Tamil Nadu	MODERATE	47
137	Sikar	Rajasthan	MODERATE	47
138	Vadodara	Gujarat	MODERATE	46
139	Bilaspur	Chhattisgarh	MODERATE	46
140	Satna	Madhya Pradesh	MODERATE	46
141	Meerut	Uttar Pradesh	MODERATE	45
142	Kota	Rajasthan	MODERATE	45
143	Muzaffarnagar	Uttar Pradesh	MODERATE	45
144	Thoothukudi	Tamil Nadu	MODERATE	45
145	Anantapur	Andhra Pradesh	MODERATE	45
146	Patna	Bihar	LOW-MODERATE	44
147	Hapur	Uttar Pradesh	LOW-MODERATE	44
148	Amroha	Uttar Pradesh	LOW-MODERATE	44
149	Hardoi	Uttar Pradesh	LOW-MODERATE	44
150	Jabalpur	Madhya Pradesh	LOW-MODERATE	43
151	Jamnagar	Gujarat	LOW-MODERATE	43
152	Ghaziabad	Uttar Pradesh	LOW-MODERATE	42
153	Noida	Uttar Pradesh	LOW-MODERATE	42
154	Alwar	Rajasthan	LOW-MODERATE	42
155	Junagadh	Gujarat	LOW-MODERATE	42
156	Haridwar	Uttarakhand	LOW-MODERATE	42
157	Kanpur	Uttar Pradesh	LOW-MODERATE	41
158	Rajkot	Gujarat	LOW-MODERATE	40
159	Gandhidham	Gujarat	LOW-MODERATE	40
160	Mathura	Uttar Pradesh	LOW-MODERATE	39
161	Bulandshahr	Uttar Pradesh	LOW-MODERATE	39
162	Jaipur	Rajasthan	LOW-MODERATE	38
163	Chandigarh	Chandigarh	LOW-MODERATE	38
164	Shahjahanpur	Uttar Pradesh	LOW-MODERATE	38
165	Rewa	Madhya Pradesh	LOW-MODERATE	38
166	Singrauli	Madhya Pradesh	LOW-MODERATE	38
167	Aligarh	Uttar Pradesh	LOW-MODERATE	37
168	Unnao	Uttar Pradesh	LOW-MODERATE	37
169	Agra	Uttar Pradesh	LOW-MODERATE	36
170	Jalandhar	Punjab	LOW-MODERATE	36
171	Firozabad	Uttar Pradesh	LOW-MODERATE	36
172	Anand	Gujarat	LOW-MODERATE	36
173	Nadiad	Gujarat	LOW-MODERATE	36
174	Budaun	Uttar Pradesh	LOW-MODERATE	35
175	Begusarai	Bihar	LOW-MODERATE	35
176	Mohali	Punjab	LOW-MODERATE	35
177	Ajmer	Rajasthan	LOW-MODERATE	34
178	Bhagalpur	Bihar	LOW-MODERATE	34
179	Hisar	Haryana	LOW-MODERATE	34
180	Ambala	Haryana	LOW-MODERATE	34
181	Rohtak	Haryana	LOW-MODERATE	33
182	Bharatpur	Rajasthan	LOW-MODERATE	33
183	Ahmedabad	Gujarat	LOW-MODERATE	32
184	Faridabad	Haryana	LOW-MODERATE	32
185	Gurugram	Haryana	LOW-MODERATE	32
186	Panipat	Haryana	LOW-MODERATE	32
187	Gandhinagar	Gujarat	LOW-MODERATE	32
188	Bathinda	Punjab	LOW-MODERATE	32
189	Fatehpur	Uttar Pradesh	LOW-MODERATE	31
190	Sitapur	Uttar Pradesh	LOW-MODERATE	31
191	Pali	Rajasthan	LOW-MODERATE	31
192	Prayagraj	Uttar Pradesh	LOW-MODERATE	30
193	Karnal	Haryana	LOW-MODERATE	30
194	Ludhiana	Punjab	LOW-MODERATE	29
195	Gwalior	Madhya Pradesh	LOW-MODERATE	29
196	Jodhpur	Rajasthan	LOW-MODERATE	29
197	Bikaner	Rajasthan	LOW-MODERATE	29
198	Patiala	Punjab	LOW-MODERATE	29
199	Hanumangarh	Rajasthan	LOW-MODERATE	29
200	Bihar Sharif	Bihar	LOW-MODERATE	28
201	Etawah	Uttar Pradesh	LOW-MODERATE	27
202	Raebareli	Uttar Pradesh	LOW-MODERATE	27
203	Arrah	Bihar	LOW-MODERATE	26
204	Chhapra	Bihar	LOW-MODERATE	26
205	Varanasi	Uttar Pradesh	LOW	23
206	Srinagar	Jammu and Kashmir	LOW	23
207	Mirzapur	Uttar Pradesh	LOW	23
208	Gaya	Bihar	LOW	22
209	Sri Ganganagar	Rajasthan	LOW	18

How we calculate the score

1. Per-disease environmental score (0 to 100)

From trailing daily weather, shaped by disease family:

Mosquito-borne (dengue, malaria, chikungunya): a unimodal temperature response peaking near 29C (Aedes and Anopheles multiply fastest at 25 to 30C; activity falls below about 18C and above about 35C), times lagged rainfall over the past 14 days (standing-water sites emerge 1 to 2 weeks after rain), times relative humidity (above about 60% extends mosquito lifespan).
Waterborne (typhoid): recent (7-day) plus accumulated (14-day) rainfall as a contamination and runoff proxy; temperature secondary.

2. Three independent signals

Weather conditions (leading, weeks ahead): the environmental score above.
Google Search Interest (coincident): symptom-search attention, smoothed and down-weighted when it spikes alone.
PharmEasy lab signal (lagging, ground truth): aggregate, de-identified test-positivity trend, scaled against a per-disease baseline because a 'high' positivity differs sharply by fever (a full signal is reached around 25% positivity for dengue, 4% for malaria, 15% for chikungunya and 45% for typhoid), and held back until enough tests confirm the read.

3. Confirmation-weighted ensemble

Not a flat average. With lab data present it dominates (weights about 30 / 22 / 48 weather / search / positivity); when all three signals agree we nudge the score up by about 8%, and when they disagree we ease off by about 4% and lean on the lab. Without lab data, a capped forecast-only mode (maximum 69, below the HIGH threshold) keeps a conditions-only read honest. The city headline is a max-dominant blend (0.8 times the top disease plus 0.2 times the mean of the rest) with the driver disease named.

In the breakdown each signal is shown as a plain High / Moderate / Low level with its weight and underlying 0 to 100 score, and the three contributions add up exactly to the displayed score.

Score bands

Low (0 to 24), Low-moderate (25 to 44), Moderate (45 to 69) and High (70 to 100). A forecast-only read is capped at 69, so it can never reach the red High band.

Data sources

Rainfall: NOAA CPC (US public domain)
Temperature and humidity: NASA POWER (NASA Langley, US public domain / CC0)
Search: Google Trends
Positivity: PharmEasy Labs and its Partner Affiliates (aggregate, de-identified)

Selected research

Mordecai et al. Thermal biology of mosquito-borne disease. Ecology Letters, 2019.
Liu-Helmersson et al. Vectorial capacity of Aedes aegypti and temperature. PLOS ONE, 2014.
Ginsberg et al. Detecting influenza epidemics using search engine query data. Nature, 2009.
IDSP Weekly Outbreak Reports, MoHFW (official surveillance).

This is a daily updated dashboard where we compute a monsoon-risk score (0-100) based on multiple data inputs, including weather data, Google search trends, and aggregate data from PharmEasy Labs and its Partner Affiliates.

Common questions

What is Fever Watch?

Fever Watch is a daily risk indicator for India's top monsoon fevers (dengue, malaria, chikungunya and typhoid), shown as one decomposable score per city and disease. It blends weather conditions, public search interest and PharmEasy lab positivity.

Is this a diagnosis or medical advice?

No. Fever Watch is a risk indicator only. It is not a diagnosis, not a count of actual cases or mosquitoes, and not a substitute for a doctor. If you feel unwell, consult a clinician.

How is the score calculated?

It is a transparent weighted blend of three signals at different points in the illness pipeline: weather conditions (leading), search interest (coincident) and lab positivity (lagging ground truth). When lab data is present it leads the score, and the breakdown is always shown.

What does forecast-only mean?

Where there is not enough lab data for a city and disease yet, the score is a conditions-based forecast and is capped below the HIGH band, so a forecast-only read can never show HIGH. This keeps the read honest.

How often is it updated?

Weather is refreshed daily from NOAA CPC and NASA POWER, search interest weekly, and the lab signal daily. The score for each city is recomputed every day.

Which cities are covered?

Fever Watch currently covers over 200 Indian cities, with more planned. Use the city search to see the read for your city.